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2020 – today
- 2025
[j209]Yu Zhao
, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Grammar induction from visual, speech and text. Artif. Intell. 341: 104306 (2025)- [j208]Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao:
PSVMA+: Exploring Multi-Granularity Semantic-Visual Adaption for Generalized Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 51-66 (2025) - [j207]Bobo Li, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji:
Revisiting Conversation Discourse for Dialogue Disentanglement. ACM Trans. Inf. Syst. 43(1): 15:1-15:34 (2025) - [j206]Xiaolin Chen, Xuemeng Song, Jianhui Zuo, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Domain-aware Multimodal Dialog Systems with Distribution-based User Characteristic Modeling. ACM Trans. Multim. Comput. Commun. Appl. 21(2): 66:1-66:22 (2025) - [c572]Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Tat-Seng Chua, Yao Zhao:
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning. AAAI 2025: 5504-5512 - [c571]Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua:
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. AAAI 2025: 8460-8468 - [c570]Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu:
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration. AAAI 2025: 19233-19241 - [c569]Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai:
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. AAAI 2025: 23424-23432 - [c568]Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua:
Aligning Large Language Models for Faithful Integrity Against Opposing Argument. AAAI 2025: 27748-27756 - [c567]Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua:
Fine-tuning Multimodal Large Language Models for Product Bundling. KDD (1) 2025: 848-858 - [i321]Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua:
Aligning Large Language Models for Faithful Integrity Against Opposing Argument. CoRR abs/2501.01336 (2025) - [i320]Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Xiangji Huang:
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond. CoRR abs/2501.05714 (2025) - [i319]Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. CoRR abs/2501.07110 (2025) - [i318]Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu:
Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration. CoRR abs/2501.07596 (2025) - [i317]He Chang, Jie Wu, Zhulin Tao, Yunshan Ma, Xianglin Huang, Tat-Seng Chua:
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model. CoRR abs/2501.11911 (2025) - [i316]Meng Chu, Yicong Li, Tat-Seng Chua:
Understanding Long Videos via LLM-Powered Entity Relation Graphs. CoRR abs/2501.15953 (2025) - [i315]Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua:
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization. CoRR abs/2502.04370 (2025) - [i314]Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua:
Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking. CoRR abs/2502.04751 (2025) - [i313]Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Guojun Ma, Mingyang Wan, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AnyEdit: Edit Any Knowledge Encoded in Language Models. CoRR abs/2502.05628 (2025) - [i312]Yan Weng, Fengbin Zhu, Tong Ye, Haoyan Liu, Fuli Feng, Tat-Seng Chua:
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection. CoRR abs/2502.06148 (2025) - [i311]Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng:
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. CoRR abs/2502.07327 (2025) - [i310]Sheng Zhou, Junbin Xiao, Qingyun Li, Yicong Li, Xun Yang, Dan Guo, Meng Wang, Tat-Seng Chua, Angela Yao:
EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering. CoRR abs/2502.07411 (2025) - [i309]Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. CoRR abs/2502.09319 (2025) - [i308]Fei Shen, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang, Jinhui Tang, Tat-Seng Chua:
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model. CoRR abs/2502.09533 (2025) - [i307]Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua:
Order-agnostic Identifier for Large Language Model-based Generative Recommendation. CoRR abs/2502.10833 (2025) - [i306]Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. CoRR abs/2502.12638 (2025) - [i305]Moxin Li, Yuantao Zhang, Wenjie Wang, Wentao Shi, Zhuo Liu, Fuli Feng, Tat-Seng Chua:
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment. CoRR abs/2502.14354 (2025) - [i304]Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua:
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. CoRR abs/2502.17924 (2025) - [i303]Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu:
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. CoRR abs/2502.20968 (2025) - [i302]Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat-Seng Chua:
Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. CoRR abs/2503.02450 (2025) - [i301]Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He, Tat-Seng Chua:
Personalized Generation In Large Model Era: A Survey. CoRR abs/2503.02614 (2025) - [i300]Jinghao Zhang, Yuting Liu, Wenjie Wang, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua:
Personalized Text Generation with Contrastive Activation Steering. CoRR abs/2503.05213 (2025) - [i299]Zhe Jin, Tat-Seng Chua:
Compose Your Aesthetics: Empowering Text-to-Image Models with the Principles of Art. CoRR abs/2503.12018 (2025) - [i298]Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua:
Continual Multimodal Contrastive Learning. CoRR abs/2503.14963 (2025) - [i297]Shengqiong Wu, Hao Fei, Tat-Seng Chua:
Universal Scene Graph Generation. CoRR abs/2503.15005 (2025) - [i296]Shengqiong Wu, Hao Fei, Jingkang Yang, Xiangtai Li, Juncheng Li, Hanwang Zhang, Tat-Seng Chua:
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene. CoRR abs/2503.15019 (2025) - [i295]Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Kenji Kawaguchi, Tat-Seng Chua, Xiang Wang:
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling. CoRR abs/2503.15567 (2025) - [i294]Zhenglin Zhou, Fan Ma, Hehe Fan, Tat-Seng Chua:
Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion. CoRR abs/2503.15851 (2025) - [i293]Weixiang Zhao, Xingyu Sui, Jiahe Guo, Yulin Hu, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che, Tat-Seng Chua, Ting Liu:
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities. CoRR abs/2503.17979 (2025) - 2024
- [j205]Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for pre-trained vision-language models. AI Open 5: 30-38 (2024) - [j204]Yujuan Ding, Zhihui Lai, P. Y. Mok, Tat-Seng Chua:
Computational Technologies for Fashion Recommendation: A Survey. ACM Comput. Surv. 56(5): 121:1-121:45 (2024) - [j203]Ang Ma, Yanhua Yu, Chuan Shi, Zirui Guo, Tat-Seng Chua:
Cross-view hypergraph contrastive learning for attribute-aware recommendation. Inf. Process. Manag. 61(4): 103701 (2024) - [j202]Yongduo Sui, Xiang Wang, Tianlong Chen, Meng Wang, Xiangnan He, Tat-Seng Chua:
Inductive Lottery Ticket Learning for Graph Neural Networks. J. Comput. Sci. Technol. 39(6): 1223-1237 (2024) - [j201]Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan:
Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7701-7719 (2024) - [j200]Tingyu Wang, Zhedong Zheng, Yaoqi Sun, Chenggang Yan, Yi Yang, Tat-Seng Chua:
Multiple-environment Self-adaptive Network for aerial-view geo-localization. Pattern Recognit. 152: 110363 (2024) - [j199]Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Dick C. A. Bulterman:
The ACM Web Conference 2024 Report. SIGWEB Newsl. 2024(Summer): 1-5 (2024) - [j198]Jingyun Xu, Jiayuan Xie, Yi Cai, Zehang Lin, Ho-fung Leung, Qing Li, Tat-Seng Chua:
Context-Aware Dynamic Word Embeddings for Aspect Term Extraction. IEEE Trans. Affect. Comput. 15(1): 144-156 (2024) - [j197]Jianwu Fang, Fan Wang, Jianru Xue, Tat-Seng Chua:
Behavioral Intention Prediction in Driving Scenes: A Survey. IEEE Trans. Intell. Transp. Syst. 25(8): 8334-8355 (2024) - [j196]Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18(5): 127:1-127:24 (2024) - [j195]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36(2): 459-474 (2024) - [j194]Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua:
Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(5): 2179-2190 (2024) - [j193]Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5054-5063 (2024) - [j192]Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua:
Causal Disentangled Recommendation against User Preference Shifts. ACM Trans. Inf. Syst. 42(1): 12:1-12:27 (2024) - [j191]Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu:
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42(2): 43:1-43:31 (2024) - [j190]Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. ACM Trans. Inf. Syst. 42(2): 47:1-47:26 (2024) - [j189]An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. ACM Trans. Inf. Syst. 42(3): 80:1-80:25 (2024) - [j188]Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua:
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. ACM Trans. Inf. Syst. 42(4): 100:1-100:23 (2024) - [j187]Jun Li, Yi Bin, Yunshan Ma, Yang Yang, Zi Huang, Tat-Seng Chua:
Filter-based Stance Network for Rumor Verification. ACM Trans. Inf. Syst. 42(4): 108:1-108:28 (2024) - [j186]Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen:
ROGER: Ranking-Oriented Generative Retrieval. ACM Trans. Inf. Syst. 42(6): 155:1-155:25 (2024) - [j185]Jingyun Xu, Junnan Yu, Yi Cai, Tat-Seng Chua:
Dual Contrastive Learning for Cross-Domain Named Entity Recognition. ACM Trans. Inf. Syst. 42(6): 163:1-163:33 (2024) - [c566]Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua:
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. AAAI 2024: 8750-8758 - [c565]Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. AAAI 2024: 14158-14166 - [c564]Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. AAAI 2024: 15537-15545 - [c563]Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. ACL (1) 2024: 1588-1606 - [c562]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) 2024: 5353-5377 - [c561]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) 2024: 5949-5966 - [c560]Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua:
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. ACL (1) 2024: 7978-7993 - [c559]Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. ACL (1) 2024: 8795-8812 - [c558]Yue Chen, Chen Huang, Yang Deng, Wenqiang Lei, Dingnan Jin, Jia Liu, Tat-Seng Chua:
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. ACL (Findings) 2024: 10633-10649 - [c557]Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua:
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. ACL (1) 2024: 10746-10766 - [c556]Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. ACL (Findings) 2024: 11119-11129 - [c555]Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. ACL (1) 2024: 11851-11861 - [c554]Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Item Tokenization for Generative Recommendation. CIKM 2024: 2400-2409 - [c553]Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua:
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. LREC/COLING 2024: 5119-5131 - [c552]Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CVPR 2024: 7434-7444 - [c551]Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua:
Dysen-VDM: Empowering Dynamics-Aware Text-to-Video Diffusion with LLMs. CVPR 2024: 7641-7653 - [c550]Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua:
Can I Trust Your Answer? Visually Grounded Video Question Answering. CVPR 2024: 13204-13214 - [c549]Yicong Li, Na Zhao, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua:
LASO: Language-Guided Affordance Segmentation on 3D Object. CVPR 2024: 14251-14260 - [c548]Jianwu Fang, Lei-lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua:
Abductive Ego-View Accident Video Understanding for Safe Driving Perception. CVPR 2024: 22030-22040 - [c547]Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua:
Hop-based Heterogeneous Graph Transformer. ECAI 2024: 2346-2353 - [c546]An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua:
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. ECCV (70) 2024: 126-151 - [c545]Meng Chu, Zhedong Zheng, Wei Ji, Tingyu Wang, Tat-Seng Chua:
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching. ECCV (11) 2024: 213-231 - [c544]Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang:
LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. ECCV (83) 2024: 390-406 - [c543]Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua:
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation. EMNLP 2024: 424-444 - [c542]Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, Tat-Seng Chua:
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations. EMNLP (Findings) 2024: 4264-4282 - [c541]Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua:
A Study of Implicit Ranking Unfairness in Large Language Models. EMNLP (Findings) 2024: 7957-7970 - [c540]Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua:
Ask-before-Plan: Proactive Language Agents for Real-World Planning. EMNLP (Findings) 2024: 10836-10863 - [c539]Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. EMNLP (Findings) 2024: 11858-11875 - [c538]Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua:
Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations. EMNLP 2024: 13652-13673 - [c537]Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data. ICAIF 2024: 310-318 - [c536]Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. ICLR 2024 - [c535]Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang:
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. ICLR 2024 - [c534]Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua:
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization. ICLR 2024 - [c533]Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian:
Towards 3D Molecule-Text Interpretation in Language Models. ICLR 2024 - [c532]Bosheng Qin, Juncheng Li, Siliang Tang, Tat-Seng Chua, Yueting Zhuang:
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions. ICME 2024: 1-6 - [c531]Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. ICML 2024 - [c530]Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang:
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning. ICML 2024 - [c529]Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua:
NExT-GPT: Any-to-Any Multimodal LLM. ICML 2024 - [c528]Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua:
NExT-Chat: An LMM for Chat, Detection and Segmentation. ICML 2024 - [c527]Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua:
A Survey on Neural Question Generation: Methods, Applications, and Prospects. IJCAI 2024: 8038-8047 - [c526]Jingnan Zheng, Jiahao Liu, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, Tat-Seng Chua:
MaskDroid: Robust Android Malware Detection with Masked Graph Representations. ASE 2024: 331-343 - [c525]Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD 2024: 1816-1826 - [c524]Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua:
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. KDD 2024: 2524-2535 - [c523]Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li:
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. KDD 2024: 6491-6501 - [c522]Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning. KSEM (5) 2024: 3-16 - [c521]Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. KSEM (1) 2024: 28-40 - [c520]Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua:
Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On. ICMR 2024: 184-192 - [c519]Changmeng Zheng, Dayong Liang, Wengyu Zhang, Xiaoyong Wei, Tat-Seng Chua, Qing Li:
A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning. ACM Multimedia 2024: 419-428 - [c518]Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. ACM Multimedia 2024: 846-855 - [c517]Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua:
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. ACM Multimedia 2024: 2776-2785 - [c516]Jiawei Wang, Da Cao, Shaofei Lu, Zhanchang Ma, Junbin Xiao, Tat-Seng Chua:
Causal-driven Large Language Models with Faithful Reasoning for Knowledge Question Answering. ACM Multimedia 2024: 4331-4340 - [c515]Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua:
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. ACM Multimedia 2024: 9641-9649 - [c514]Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing. NeurIPS 2024 - [c513]Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua:
On Softmax Direct Preference Optimization for Recommendation. NeurIPS 2024 - [c512]Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua:
Towards Neuron Attributions in Multi-Modal Large Language Models. NeurIPS 2024 - [c511]Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua:
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation. NeurIPS 2024 - [c510]Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua:
Information-Controllable Graph Contrastive Learning for Recommendation. RecSys 2024: 528-537 - [c509]Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. SIGIR 2024: 229-239 - [c508]Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Data-efficient Fine-tuning for LLM-based Recommendation. SIGIR 2024: 365-374 - [c507]Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua:
Towards Human-centered Proactive Conversational Agents. SIGIR 2024: 807-818 - [c506]Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua:
Denoising Diffusion Recommender Model. SIGIR 2024: 1370-1379 - [c505]Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
A Taxation Perspective for Fair Re-ranking. SIGIR 2024: 1494-1503 - [c504]An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua:
On Generative Agents in Recommendation. SIGIR 2024: 1807-1817 - [c503]Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang:
I3: Intent-Introspective Retrieval Conditioned on Instructions. SIGIR 2024: 1839-1849 - [c502]An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents for Information Retrieval. SIGIR 2024: 2989-2992 - [c501]Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua:
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. WSDM 2024: 510-519 - [c500]Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li:
FashionReGen: LLM-Empowered Fashion Report Generation. WWW (Companion Volume) 2024: 991-994 - [c499]Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents in the Web. WWW (Companion Volume) 2024: 1242-1245 - [c498]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW 2024: 1362-1373 - [c497]Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. WWW 2024: 3343-3354 - [c496]Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. WWW 2024: 4304-4315 - [e21]Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Roy Ka-Wei Lee:
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024. ACM 2024 [contents] - [e20]Tat-Seng Chua, Chong-Wah Ngo, Roy Ka-Wei Lee, Ravi Kumar, Hady W. Lauw:
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024. ACM 2024 [contents] - [i292]Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR abs/2401.06176 (2024) - [i291]Lidong Zeng, Zhedong Zheng, Yinwei Wei, Tat-Seng Chua:
Instilling Multi-round Thinking to Text-guided Image Generation. CoRR abs/2401.08472 (2024) - [i290]Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data. CoRR abs/2401.13223 (2024) - [i289]Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian:
Towards 3D Molecule-Text Interpretation in Language Models. CoRR abs/2401.13923 (2024) - [i288]Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. CoRR abs/2401.15603 (2024) - [i287]Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua:
Smart Fitting Room: A Generative Approach to Matching-aware Virtual Try-On. CoRR abs/2401.16825 (2024) - [i286]Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Data-efficient Fine-tuning for LLM-based Recommendation. CoRR abs/2401.17197 (2024) - [i285]Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. CoRR abs/2402.03659 (2024) - [i284]Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua:
LLM-based Federated Recommendation. CoRR abs/2402.09959 (2024) - [i283]Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. CoRR abs/2402.10769 (2024) - [i282]Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. CoRR abs/2402.10805 (2024) - [i281]Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang:
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning. CoRR abs/2402.11435 (2024) - [i280]Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. CoRR abs/2402.15057 (2024) - [i279]Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua:
Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions. CoRR abs/2402.15062 (2024) - [i278]Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang:
GraphEdit: Large Language Models for Graph Structure Learning. CoRR abs/2402.15183 (2024) - [i277]Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua:
Prospect Personalized Recommendation on Large Language Model-based Agent Platform. CoRR abs/2402.18240 (2024) - [i276]Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua:
A Survey on Neural Question Generation: Methods, Applications, and Prospects. CoRR abs/2402.18267 (2024) - [i275]Jianwu Fang, Lei-Lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua:
Abductive Ego-View Accident Video Understanding for Safe Driving Perception. CoRR abs/2403.00436 (2024) - [i274]Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. CoRR abs/2403.02692 (2024) - [i273]Zixuan Li, Lizi Liao, Tat-Seng Chua:
Learning to Ask Critical Questions for Assisting Product Search. CoRR abs/2403.02754 (2024) - [i272]Zixuan Li, Lizi Liao, Yunshan Ma, Tat-Seng Chua:
Contrastive Pre-training for Deep Session Data Understanding. CoRR abs/2403.02825 (2024) - [i271]Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CoRR abs/2403.04321 (2024) - [i270]Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li:
FashionReGen: LLM-Empowered Fashion Report Generation. CoRR abs/2403.06660 (2024) - [i269]Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua:
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning. CoRR abs/2403.06769 (2024) - [i268]Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. CoRR abs/2403.09972 (2024) - [i267]Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang:
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. CoRR abs/2403.11703 (2024) - [i266]Changmeng Zheng, Dayong Liang, Wengyu Zhang, Xiao-Yong Wei, Tat-Seng Chua, Qing Li:
A Picture Is Worth a Graph: Blueprint Debate on Graph for Multimodal Reasoning. CoRR abs/2403.14972 (2024) - [i265]Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua:
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. CoRR abs/2404.01735 (2024) - [i264]Chen Huang, Peixin Qin, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Concept - An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors. CoRR abs/2404.03304 (2024) - [i263]Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. CoRR abs/2404.11129 (2024) - [i262]Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua:
Towards Human-centered Proactive Conversational Agents. CoRR abs/2404.12670 (2024) - [i261]Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. CoRR abs/2404.15875 (2024) - [i260]Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR abs/2404.16924 (2024) - [i259]Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
A Taxation Perspective for Fair Re-ranking. CoRR abs/2404.17826 (2024) - [i258]Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. CoRR abs/2405.01926 (2024) - [i257]Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li:
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. CoRR abs/2405.06211 (2024) - [i256]Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Tokenizer for LLM-based Generative Recommendation. CoRR abs/2405.07314 (2024) - [i255]Chen Huang, Xinwei Yang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Co-Matching: Towards Human-Machine Collaborative Legal Case Matching. CoRR abs/2405.10248 (2024) - [i254]Yue Chen, Chen Huang, Yang Deng, Wenqiang Lei, Dingnan Jin, Jia Liu, Tat-Seng Chua:
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. CoRR abs/2405.12059 (2024) - [i253]Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua:
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. CoRR abs/2405.12063 (2024) - [i252]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR abs/2405.12564 (2024) - [i251]Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Tat-Seng Chua:
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching. CoRR abs/2405.13820 (2024) - [i250]Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua:
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation. CoRR abs/2405.14125 (2024) - [i249]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR abs/2405.14225 (2024) - [i248]Tianyu Yu, Haoye Zhang, Yuan Yao, Yunkai Dang, Da Chen, Xiaoman Lu, Ganqu Cui, Taiwen He, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness. CoRR abs/2405.17220 (2024) - [i247]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR abs/2405.20626 (2024) - [i246]Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. CoRR abs/2406.02472 (2024) - [i245]Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao:
Instructing Prompt-to-Prompt Generation for Zero-Shot Learning. CoRR abs/2406.03032 (2024) - [i244]Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Towards Semantic Equivalence of Tokenization in Multimodal LLM. CoRR abs/2406.05127 (2024) - [i243]Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua:
Unified Text-to-Image Generation and Retrieval. CoRR abs/2406.05814 (2024) - [i242]Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua:
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. CoRR abs/2406.05925 (2024) - [i241]Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua:
On Softmax Direct Preference Optimization for Recommendation. CoRR abs/2406.09215 (2024) - [i240]Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua:
Ask-before-Plan: Proactive Language Agents for Real-World Planning. CoRR abs/2406.12639 (2024) - [i239]Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua:
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. CoRR abs/2406.14333 (2024) - [i238]Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan:
Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment. CoRR abs/2406.19255 (2024) - [i237]Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua:
Language Models Encode Collaborative Signals in Recommendation. CoRR abs/2407.05441 (2024) - [i236]An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua:
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. CoRR abs/2407.07544 (2024) - [i235]He Chang, Chenchen Ye, Zhulin Tao, Jie Wu, Zhengmao Yang, Yunshan Ma, Xianglin Huang, Tat-Seng Chua:
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting. CoRR abs/2407.11638 (2024) - [i234]Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua:
Harnessing Large Language Models for Multimodal Product Bundling. CoRR abs/2407.11712 (2024) - [i233]Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua:
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. CoRR abs/2407.17274 (2024) - [i232]Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao:
VideoQA in the Era of LLMs: An Empirical Study. CoRR abs/2408.04223 (2024) - [i231]Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua:
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. CoRR abs/2408.04388 (2024) - [i230]Xing Lan, Jian Xue, Ji Qi, Dongmei Jiang, Ke Lu, Tat-Seng Chua:
ExpLLM: Towards Chain of Thought for Facial Expression Recognition. CoRR abs/2409.02828 (2024) - [i229]Sheng Zhou, Junbin Xiao, Xun Yang, Peipei Song, Dan Guo, Angela Yao, Meng Wang, Tat-Seng Chua:
Scene-Text Grounding for Text-Based Video Question Answering. CoRR abs/2409.14319 (2024) - [i228]Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, Tat-Seng Chua:
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations. CoRR abs/2409.14399 (2024) - [i227]Jingnan Zheng, Jiaohao Liu, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, Tat-Seng Chua:
MASKDROID: Robust Android Malware Detection with Masked Graph Representations. CoRR abs/2409.19594 (2024) - [i226]Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. CoRR abs/2410.02355 (2024) - [i225]Yu Zhao, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Grammar Induction from Visual, Speech and Text. CoRR abs/2410.03739 (2024) - [i224]Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Efficient Inference for Large Language Model-based Generative Recommendation. CoRR abs/2410.05165 (2024) - [i223]Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao:
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning. CoRR abs/2410.11560 (2024) - [i222]Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua:
Preference Diffusion for Recommendation. CoRR abs/2410.13117 (2024) - [i221]Kangkang Lu, Yanhua Yu, Zhiyong Huang, Jia Li, Yuling Wang, Meiyu Liang, Xiting Qin, Yimeng Ren, Tat-Seng Chua, Xidian Wang:
Addressing Heterogeneity and Heterophily in Graphs: A Heterogeneous Heterophilic Spectral Graph Neural Network. CoRR abs/2410.13373 (2024) - [i220]Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua:
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment. CoRR abs/2410.14148 (2024) - [i219]Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua:
Large Language Models Empowered Personalized Web Agents. CoRR abs/2410.17236 (2024) - [i218]Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Huanhuan Zheng, Tat-Seng Chua:
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes. CoRR abs/2410.17266 (2024) - [i217]Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua:
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding. CoRR abs/2410.21311 (2024) - [i216]Yang Zhang, Juntao You, Yimeng Bai, Jizhi Zhang, Keqin Bao, Wenjie Wang, Tat-Seng Chua:
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation. CoRR abs/2410.22809 (2024) - [i215]Youcheng Huang, Fengbin Zhu, Jingkun Tang, Pan Zhou, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector. CoRR abs/2410.22888 (2024) - [i214]Ke Li, Fuyu Dong, Di Wang, Shaofeng Li, Quan Wang, Xinbo Gao, Tat-Seng Chua:
Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection. CoRR abs/2410.23828 (2024) - [i213]Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua:
Self-Calibrated Listwise Reranking with Large Language Models. CoRR abs/2411.04602 (2024) - [i212]Chenhang Cui, Gelei Deng, An Zhang, Jingnan Zheng, Yicong Li, Lianli Gao, Tianwei Zhang, Tat-Seng Chua:
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models. CoRR abs/2411.11496 (2024) - [i211]Shuo Xu, Haokai Ma, Yunshan Ma, Xiaohao Liu, Lei Meng, Xiangxu Meng, Tat-Seng Chua:
Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling. CoRR abs/2411.19107 (2024) - [i210]Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. CoRR abs/2412.00161 (2024) - [i209]Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua:
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. CoRR abs/2412.05818 (2024) - [i208]Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua:
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. CoRR abs/2412.11124 (2024) - [i207]Moxin Li, Yong Zhao, Yang Deng, Wenxuan Zhang, Shuaiyi Li, Wenya Xie, See-Kiong Ng, Tat-Seng Chua:
Knowledge Boundary of Large Language Models: A Survey. CoRR abs/2412.12472 (2024) - [i206]Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Chi Chen, Jun Song, Bo Zheng, Yuan Yao, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer. CoRR abs/2412.13871 (2024) - [i205]Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang:
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. CoRR abs/2412.13949 (2024) - [i204]Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Tat-Seng Chua, Bing Qin:
Length Controlled Generation for Black-box LLMs. CoRR abs/2412.14656 (2024) - [i203]Xiaohao Liu, Xiaobo Xia, Zhuo Huang, Tat-Seng Chua:
Towards Modality Generalization: A Benchmark and Prospective Analysis. CoRR abs/2412.18277 (2024) - [i202]Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing. CoRR abs/2412.19806 (2024) - 2023
- [j184]Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Yi Yang, Tat-Seng Chua:
Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis. Int. J. Comput. Vis. 131(8): 2219-2242 (2023) - [j183]Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2297-2309 (2023) - [j182]Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10285-10299 (2023) - [j181]Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12601-12617 (2023) - [j180]Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13265-13280 (2023) - [j179]Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). SIGIR Forum 57(1): 8:1-8:5 (2023) - [j178]Tat-Seng Chua:
Towards Generative Search and Recommendation: A keynote at RecSys 2023. SIGIR Forum 57(2): 5:1-5:14 (2023) - [j177]Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
ACM WSDM 2023 Report. SIGWEB Newsl. 2023(Spring): 1:1-1:6 (2023) - [j176]Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions. IEEE Trans. Knowl. Data Eng. 35(1): 225-236 (2023) - [j175]Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. IEEE Trans. Knowl. Data Eng. 35(2): 1761-1774 (2023) - [j174]Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua:
Causal Inference for Knowledge Graph Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11153-11164 (2023) - [j173]Yuxia Wu, Lizi Liao, Gangyi Zhang, Wenqiang Lei, Guoshuai Zhao, Xueming Qian, Tat-Seng Chua:
State Graph Reasoning for Multimodal Conversational Recommendation. IEEE Trans. Multim. 25: 3113-3124 (2023) - [j172]Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua:
Self-Supervised Learning for Multimedia Recommendation. IEEE Trans. Multim. 25: 5107-5116 (2023) - [j171]Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang, Xiang Wang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma:
User Perception of Recommendation Explanation: Are Your Explanations What Users Need? ACM Trans. Inf. Syst. 41(2): 48:1-48:31 (2023) - [j170]Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. ACM Trans. Inf. Syst. 41(2): 50:1-50:32 (2023) - [j169]Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam:
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. ACM Trans. Inf. Syst. 41(3): 77:1-77:25 (2023) - [c495]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. AAAI 2023: 6583-6592 - [c494]Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua:
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. AAAI 2023: 14444-14452 - [c493]Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Video-Audio Domain Generalization via Confounder Disentanglement. AAAI 2023: 15322-15330 - [c492]Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. ACL (2) 2023: 1171-1182 - [c491]Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua:
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. ACL (Findings) 2023: 1220-1236 - [c490]Shengqiong Wu, Hao Fei, Wei Ji, Tat-Seng Chua:
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment. ACL (1) 2023: 2593-2608 - [c489]Jingyun Xu, Changmeng Zheng, Yi Cai, Tat-Seng Chua:
Improving Named Entity Recognition via Bridge-based Domain Adaptation. ACL (Findings) 2023: 3869-3882 - [c488]Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination. ACL (1) 2023: 5980-5994 - [c487]Yu Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Generating Visual Spatial Description via Holistic 3D Scene Understanding. ACL (1) 2023: 7960-7977 - [c486]Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction. ACL (Findings) 2023: 9395-9408 - [c485]Peng Qi, Yuyang Zhao, Yufeng Shen, Wei Ji, Juan Cao, Tat-Seng Chua:
Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors. ACL (Findings) 2023: 11947-11959 - [c484]Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji:
DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis. ACL (Findings) 2023: 13449-13467 - [c483]Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua:
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. ACL (1) 2023: 14734-14751 - [c482]Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua:
Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond. ACL (tutorial) 2023: 1-10 - [c481]Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. CIKM 2023: 1087-1096 - [c480]Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua:
Popularity-aware Distributionally Robust Optimization for Recommendation System. CIKM 2023: 4967-4973 - [c479]Wei Ji, Renjie Liang, Zhedong Zheng, Wenqiao Zhang, Shengyu Zhang, Juncheng Li, Mengze Li, Tat-Seng Chua:
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-based Active Learning. CVPR 2023: 23013-23022 - [c478]Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua:
Robust Prompt Optimization for Large Language Models Against Distribution Shifts. EMNLP 2023: 1539-1554 - [c477]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Third Party Large Language Models Generated Text Detection Tool. EMNLP (Findings) 2023: 2113-2133 - [c476]Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. EMNLP (Findings) 2023: 4424-4436 - [c475]Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong:
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. EMNLP 2023: 6325-6341 - [c474]Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua:
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. EMNLP (Findings) 2023: 7337-7348 - [c473]Yang Deng, Lizi Liao, Liang Chen, Hongru Wang, Wenqiang Lei, Tat-Seng Chua:
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. EMNLP (Findings) 2023: 10602-10621 - [c472]Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. EMNLP 2023: 15623-15638 - [c471]Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang:
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models. ICCV 2023: 2551-2562 - [c470]Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua:
Discovering Spatio-Temporal Rationales for Video Question Answering. ICCV 2023: 13823-13832 - [c469]An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Boosting Causal Discovery via Adaptive Sample Reweighting. ICLR 2023 - [c468]Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua:
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. IJCAI 2023: 6583-6591 - [c467]Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua:
Discovering Dynamic Causal Space for DAG Structure Learning. KDD 2023: 1429-1440 - [c466]Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He:
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. KDD 2023: 1548-1558 - [c465]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua:
Context-aware Event Forecasting via Graph Disentanglement. KDD 2023: 1643-1652 - [c464]Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua:
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. ACM Multimedia 2023: 643-654 - [c463]Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Equivariant Learning for Out-of-Distribution Cold-start Recommendation. ACM Multimedia 2023: 903-914 - [c462]Mu Chen, Zhedong Zheng, Yi Yang, Tat-Seng Chua:
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation. ACM Multimedia 2023: 1905-1914 - [c461]Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua:
Redundancy-aware Transformer for Video Question Answering. ACM Multimedia 2023: 3172-3180 - [c460]Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua:
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. ACM Multimedia 2023: 5281-5291 - [c459]Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Chong Teng, Tat-Seng Chua, Donghong Ji, Fei Li:
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition. ACM Multimedia 2023: 5923-5934 - [c458]Jiawei Wang, Zhanchang Ma, Da Cao, Yuquan Le, Junbin Xiao, Tat-Seng Chua:
Deconfounded Multimodal Learning for Spatio-temporal Video Grounding. ACM Multimedia 2023: 7521-7529 - [c457]Zhedong Zheng, Yujiao Shi, Tingyu Wang, Jun Liu, Jianwu Fang, Yunchao Wei, Tat-Seng Chua:
UAVM '23: 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective. ACM Multimedia 2023: 9715-9717 - [c456]Wei Ji, Yinwei Wei, Zhedong Zheng, Hao Fei, Tat-Seng Chua:
Deep Multimodal Learning for Information Retrieval. ACM Multimedia 2023: 9739-9741 - [c455]Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua:
LGM3A '23: 1st Workshop on Large Generative Models Meet Multimodal Applications. ACM Multimedia 2023: 9744-9745 - [c454]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS 2023 - [c453]Shengqiong Wu, Hao Fei, Hanwang Zhang, Tat-Seng Chua:
Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion. NeurIPS 2023 - [c452]Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua:
VPGTrans: Transfer Visual Prompt Generator across LLMs. NeurIPS 2023 - [c451]An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. NeurIPS 2023 - [c450]Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
Diffusion Recommender Model. SIGIR 2023: 832-841 - [c449]Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua:
Strategy-aware Bundle Recommender System. SIGIR 2023: 1198-1207 - [c448]Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua:
Learnable Pillar-based Re-ranking for Image-Text Retrieval. SIGIR 2023: 1252-1261 - [c447]Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua:
LightGT: A Light Graph Transformer for Multimedia Recommendation. SIGIR 2023: 1508-1517 - [c446]Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Dual Semantic Knowledge Composed Multimodal Dialog Systems. SIGIR 2023: 1518-1527 - [c445]Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua:
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. SIGIR-AP 2023: 298-301 - [c444]Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua:
Cooperative Explanations of Graph Neural Networks. WSDM 2023: 616-624 - [c443]Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat-Seng Chua:
SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs. WWW (Companion Volume) 2023: 1236-1244 - [c442]An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. WWW 2023: 1240-1251 - [c441]Yuting Yang, Wenqiang Lei, Pei Huang, Juan Cao, Jintao Li, Tat-Seng Chua:
A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking. WWW 2023: 1468-1477 - [e19]Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua:
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, LGM3A 2023, Ottawa ON, Canada, 2 November 2023. ACM 2023 [contents] - [e18]Wei Ji, Yinwei Wei, Zhedong Zheng, Hao Fei, Tat-Seng Chua:
Proceedings of the 1st International Workshop on Deep Multimodal Learning for Information Retrieval, MMIR 2023, Ottawa ON, Canada, 2 November 2023. ACM 2023 [contents] - [e17]Zhedong Zheng, Yujiao Shi, Tingyu Wang, Jun Liu, Jianwu Fang, Yunchao Wei, Tat-Seng Chua:
Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, UAVM 2023, Ottawa ON, Canada, 2 November 2023. ACM 2023 [contents] - [e16]Tat-Seng Chua, Hady W. Lauw, Luo Si, Evimaria Terzi, Panayiotis Tsaparas:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. ACM 2023, ISBN 978-1-4503-9407-9 [contents] - [i201]Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. CoRR abs/2301.09071 (2023) - [i200]An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. CoRR abs/2302.05328 (2023) - [i199]Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. CoRR abs/2302.13668 (2023) - [i198]An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting. CoRR abs/2303.03187 (2023) - [i197]Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang:
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models. CoRR abs/2303.06571 (2023) - [i196]Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua:
Causal Disentangled Recommendation Against User Preference Shifts. CoRR abs/2303.16068 (2023) - [i195]Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Generative Recommendation: Towards Next-generation Recommender Paradigm. CoRR abs/2304.03516 (2023) - [i194]Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
Diffusion Recommender Model. CoRR abs/2304.04971 (2023) - [i193]Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua:
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model. CoRR abs/2304.06248 (2023) - [i192]Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. CoRR abs/2304.09563 (2023) - [i191]Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua:
Learnable Pillar-based Re-ranking for Image-Text Retrieval. CoRR abs/2304.12570 (2023) - [i190]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks. CoRR abs/2304.14732 (2023) - [i189]Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua:
Transfer Visual Prompt Generator across LLMs. CoRR abs/2305.01278 (2023) - [i188]Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua:
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs. CoRR abs/2305.01938 (2023) - [i187]Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua:
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. CoRR abs/2305.02750 (2023) - [i186]Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Dual Semantic Knowledge Composed Multimodal Dialog Systems. CoRR abs/2305.09990 (2023) - [i185]Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. CoRR abs/2305.11255 (2023) - [i184]Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua:
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. CoRR abs/2305.11719 (2023) - [i183]Yu Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Generating Visual Spatial Description via Holistic 3D Scene Understanding. CoRR abs/2305.11768 (2023) - [i182]Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination. CoRR abs/2305.12256 (2023) - [i181]Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction. CoRR abs/2305.12258 (2023) - [i180]Shengqiong Wu, Hao Fei, Wei Ji, Tat-Seng Chua:
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment. CoRR abs/2305.12260 (2023) - [i179]Bosheng Qin, Juncheng Li, Siliang Tang, Tat-Seng Chua, Yueting Zhuang:
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions. CoRR abs/2305.12328 (2023) - [i178]Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. CoRR abs/2305.12785 (2023) - [i177]Yang Deng, Wenqiang Lei, Lizi Liao, Tat-Seng Chua:
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. CoRR abs/2305.13626 (2023) - [i176]Moxin Li, Wenjie Wang, Fuli Feng, Jizhi Zhang, Tat-Seng Chua:
Robust Instruction Optimization for Large Language Models with Distribution Shifts. CoRR abs/2305.13954 (2023) - [i175]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Large Language Models Detection Tool. CoRR abs/2305.15004 (2023) - [i174]Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua:
Discovering Dynamic Causal Space for DAG Structure Learning. CoRR abs/2306.02822 (2023) - [i173]Yujuan Ding, Zhihui Lai, P. Y. Mok, Tat-Seng Chua:
Computational Technologies for Fashion Recommendation: A Survey. CoRR abs/2306.03395 (2023) - [i172]Bobo Li, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji:
Revisiting Conversation Discourse for Dialogue Disentanglement. CoRR abs/2306.03975 (2023) - [i171]Peng Qi, Yuyang Zhao, Yufeng Shen, Wei Ji, Juan Cao, Tat-Seng Chua:
Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors. CoRR abs/2306.05241 (2023) - [i170]Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua:
Discovering Spatio-Temporal Rationales for Video Question Answering. CoRR abs/2307.12058 (2023) - [i169]Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
XNLP: An Interactive Demonstration System for Universal Structured NLP. CoRR abs/2308.01846 (2023) - [i168]Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He:
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. CoRR abs/2308.02565 (2023) - [i167]Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua:
Redundancy-aware Transformer for Video Question Answering. CoRR abs/2308.03267 (2023) - [i166]Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Hanwang Zhang, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Yueting Zhuang:
Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions. CoRR abs/2308.04152 (2023) - [i165]Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Chong Teng, Tat-Seng Chua, Donghong Ji, Fei Li:
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition. CoRR abs/2308.04502 (2023) - [i164]Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua:
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. CoRR abs/2308.05081 (2023) - [i163]Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua:
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. CoRR abs/2308.05095 (2023) - [i162]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua:
Context-aware Event Forecasting via Graph Disentanglement. CoRR abs/2308.06480 (2023) - [i161]Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua:
Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models. CoRR abs/2308.13812 (2023) - [i160]Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. CoRR abs/2309.00073 (2023) - [i159]Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua:
Can I Trust Your Answer? Visually Grounded Video Question Answering. CoRR abs/2309.01327 (2023) - [i158]Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua:
NExT-GPT: Any-to-Any Multimodal LLM. CoRR abs/2309.05519 (2023) - [i157]Han Yi, Zhedong Zheng, Xiangyu Xu, Tat-Seng Chua:
Progressive Text-to-3D Generation for Automatic 3D Prototyping. CoRR abs/2309.14600 (2023) - [i156]Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. CoRR abs/2310.06491 (2023) - [i155]Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong:
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. CoRR abs/2310.07289 (2023) - [i154]An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, Tat-Seng Chua:
On Generative Agents in Recommendation. CoRR abs/2310.10108 (2023) - [i153]An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. CoRR abs/2310.10696 (2023) - [i152]Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua:
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. CoRR abs/2310.11761 (2023) - [i151]Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. CoRR abs/2310.12798 (2023) - [i150]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR abs/2310.14753 (2023) - [i149]An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. CoRR abs/2310.18700 (2023) - [i148]Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua:
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. CoRR abs/2310.18770 (2023) - [i147]Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. CoRR abs/2311.00262 (2023) - [i146]Ao Zhang, Wei Ji, Tat-Seng Chua:
NExT-Chat: An LMM for Chat, Detection and Segmentation. CoRR abs/2311.04498 (2023) - [i145]Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua:
Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. CoRR abs/2311.07054 (2023) - [i144]Meng Chu, Zhedong Zheng, Wei Ji, Tat-Seng Chua:
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatially Relation Matching. CoRR abs/2311.12751 (2023) - [i143]Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua:
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. CoRR abs/2311.16751 (2023) - [i142]Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun, Tat-Seng Chua:
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback. CoRR abs/2312.00849 (2023) - [i141]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua:
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR abs/2312.01052 (2023) - [i140]Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua:
Temporally and Distributionally Robust Optimization for Cold-start Recommendation. CoRR abs/2312.09901 (2023) - [i139]Yang Deng, Zifeng Ren, An Zhang, Wenqiang Lei, Tat-Seng Chua:
Towards Goal-oriented Intelligent Tutoring Systems in Online Education. CoRR abs/2312.10053 (2023) - 2022
- [j168]Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning Through Hard Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1443-1456 (2022) - [j167]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6729-6751 (2022) - [j166]Yi Bin, Yujuan Ding, Bo Peng, Liang Peng, Yang Yang, Tat-Seng Chua:
Entity Slot Filling for Visual Captioning. IEEE Trans. Circuits Syst. Video Technol. 32(1): 52-62 (2022) - [j165]Xun Yang, Shanshan Wang, Jian Dong, Jianfeng Dong, Meng Wang, Tat-Seng Chua:
Video Moment Retrieval With Cross-Modal Neural Architecture Search. IEEE Trans. Image Process. 31: 1204-1216 (2022) - [j164]Guanghao Yin, Wei Wang, Zehuan Yuan, Wei Ji, Dongdong Yu, Shouqian Sun, Tat-Seng Chua, Changhu Wang:
Conditional Hyper-Network for Blind Super-Resolution With Multiple Degradations. IEEE Trans. Image Process. 31: 3949-3960 (2022) - [j163]Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Topic-Guided Conversational Recommender in Multiple Domains. IEEE Trans. Knowl. Data Eng. 34(5): 2485-2496 (2022) - [j162]Kaili Mao, Jianwei Niu, Xuefeng Liu, Shaojie Tang, Lizi Liao, Tat-Seng Chua:
A Patience-Aware Recommendation Scheme for Shared Accounts on Mobile Devices. IEEE Trans. Knowl. Data Eng. 34(12): 5571-5585 (2022) - [j161]Lixi Deng, Jingjing Chen, Chong-Wah Ngo, Qianru Sun, Sheng Tang, Yongdong Zhang, Tat-Seng Chua:
Mixed Dish Recognition With Contextual Relation and Domain Alignment. IEEE Trans. Multim. 24: 2034-2045 (2022) - [j160]Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. IEEE Trans. Multim. 24: 2287-2299 (2022) - [j159]Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation. IEEE Trans. Multim. 24: 2687-2700 (2022) - [j158]Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua:
Hierarchical User Intent Graph Network for Multimedia Recommendation. IEEE Trans. Multim. 24: 2701-2712 (2022) - [j157]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 40(2): 21:1-21:5 (2022) - [j156]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. ACM Trans. Inf. Syst. 40(3): 42:1-42:5 (2022) - [c440]Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua:
Rethinking the Two-Stage Framework for Grounded Situation Recognition. AAAI 2022: 2651-2658 - [c439]Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. AAAI 2022: 2804-2812 - [c438]Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua:
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. ACL (1) 2022: 57-69 - [c437]Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. CIKM 2022: 540-550 - [c436]Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua:
Invariant Grounding for Video Question Answering. CVPR 2022: 2918-2927 - [c435]Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan:
Video Graph Transformer for Video Question Answering. ECCV (36) 2022: 39-58 - [c434]Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
Fine-Grained Scene Graph Generation with Data Transfer. ECCV (27) 2022: 409-424 - [c433]Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam:
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction. EMNLP 2022: 2581-2594 - [c432]Yuxia Wu, Lizi Liao, Xueming Qian, Tat-Seng Chua:
Semi-supervised New Slot Discovery with Incremental Clustering. EMNLP (Findings) 2022: 6207-6218 - [c431]Yaoyao Zhong, Wei Ji, Junbin Xiao, Yicong Li, Weihong Deng, Tat-Seng Chua:
Video Question Answering: Datasets, Algorithms and Challenges. EMNLP 2022: 6439-6455 - [c430]Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua:
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance. EMNLP 2022: 6970-6984 - [c429]Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models. EMNLP 2022: 11104-11117 - [c428]Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua:
Discovering Invariant Rationales for Graph Neural Networks. ICLR 2022 - [c427]Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua:
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. ICML 2022: 13052-13065 - [c426]Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua:
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. KDD 2022: 1233-1241 - [c425]Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua:
Causal Attention for Interpretable and Generalizable Graph Classification. KDD 2022: 1696-1705 - [c424]Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu:
Intelligent Request Strategy Design in Recommender System. KDD 2022: 3772-3782 - [c423]Yicong Li, Xiang Wang, Junbin Xiao, Tat-Seng Chua:
Equivariant and Invariant Grounding for Video Question Answering. ACM Multimedia 2022: 4714-4722 - [c422]Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua:
Towards Complex Document Understanding By Discrete Reasoning. ACM Multimedia 2022: 4857-4866 - [c421]Chenchen Ye, Lizi Liao, Suyu Liu, Tat-Seng Chua:
Reflecting on Experiences for Response Generation. ACM Multimedia 2022: 5265-5273 - [c420]Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua:
MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. ACM Multimedia 2022: 7416-7417 - [c419]Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua:
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model. NeurIPS 2022 - [c418]An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua:
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. NeurIPS 2022 - [c417]Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua:
Structured and Natural Responses Co-generation for Conversational Search. SIGIR 2022: 155-164 - [c416]Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. SIGIR 2022: 212-222 - [c415]Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. SIGIR 2022: 1251-1261 - [c414]Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua:
SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records. SP 2022: 489-506 - [c413]Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. WWW 2022: 2216-2226 - [c412]Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua:
Causal Representation Learning for Out-of-Distribution Recommendation. WWW 2022: 3562-3571 - [e15]Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua:
MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, Lisboa, Portugal, 14 October 2022. ACM 2022, ISBN 978-1-4503-9498-7 [contents] - [i138]Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua:
Training Free Graph Neural Networks for Graph Matching. CoRR abs/2201.05349 (2022) - [i137]Yuting Yang, Wenqiang Lei, Juan Cao, Jintao Li, Tat-Seng Chua:
Prompt Learning for Few-Shot Dialogue State Tracking. CoRR abs/2201.05780 (2022) - [i136]Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Deconfounding to Explanation Evaluation in Graph Neural Networks. CoRR abs/2201.08802 (2022) - [i135]Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua:
Discovering Invariant Rationales for Graph Neural Networks. CoRR abs/2201.12872 (2022) - [i134]Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset for Recommender Systems. CoRR abs/2202.10842 (2022) - [i133]Yaoyao Zhong, Wei Ji, Junbin Xiao, Yicong Li, Weihong Deng, Tat-Seng Chua:
Video Question Answering: Datasets, Algorithms and Challenges. CoRR abs/2203.01225 (2022) - [i132]Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
Fine-Grained Scene Graph Generation with Data Transfer. CoRR abs/2203.11654 (2022) - [i131]Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam:
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. CoRR abs/2204.06923 (2022) - [i130]Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. CoRR abs/2204.07433 (2022) - [i129]Tingyu Wang, Zhedong Zheng, Yaoqi Sun, Tat-Seng Chua, Yi Yang, Chenggang Yan:
Multiple-environment Self-adaptive Network for Aerial-view Geo-localization. CoRR abs/2204.08381 (2022) - [i128]Xiang Wang, Ying-Xin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. CoRR abs/2204.11028 (2022) - [i127]Zhedong Zheng, Jiayin Zhu, Wei Ji, Yi Yang, Tat-Seng Chua:
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective. CoRR abs/2204.13096 (2022) - [i126]Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. CoRR abs/2204.13844 (2022) - [i125]Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models. CoRR abs/2205.11169 (2022) - [i124]Yu Wang, An Zhang, Xiang Wang, Xiangnan He, Tat-Seng Chua:
Differentiable Invariant Causal Discovery. CoRR abs/2205.15638 (2022) - [i123]Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua:
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. CoRR abs/2206.00242 (2022) - [i122]Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua:
Invariant Grounding for Video Question Answering. CoRR abs/2206.02349 (2022) - [i121]Fengbin Zhu, Chao Wang, Wenqiang Lei, Ziyang Liu, Tat-Seng Chua:
RDU: A Region-based Approach to Form-style Document Understanding. CoRR abs/2206.06890 (2022) - [i120]Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua:
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. CoRR abs/2206.07869 (2022) - [i119]Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu:
Intelligent Request Strategy Design in Recommender System. CoRR abs/2206.12296 (2022) - [i118]Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan:
Video Graph Transformer for Video Question Answering. CoRR abs/2207.05342 (2022) - [i117]Jian Ma, Zhedong Zheng, Hao Fei, Feng Zheng, Tat-Seng Chua, Yi Yang:
Subband-based Generative Adversarial Network for Non-parallel Many-to-many Voice Conversion. CoRR abs/2207.06057 (2022) - [i116]Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua:
Towards Complex Document Understanding By Discrete Reasoning. CoRR abs/2207.11871 (2022) - [i115]Yicong Li, Xiang Wang, Junbin Xiao, Tat-Seng Chua:
Equivariant and Invariant Grounding for Video Question Answering. CoRR abs/2207.12783 (2022) - [i114]Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. CoRR abs/2208.08011 (2022) - [i113]Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu:
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. CoRR abs/2208.08024 (2022) - [i112]Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam:
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction. CoRR abs/2210.08697 (2022) - [i111]Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua:
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance. CoRR abs/2210.08817 (2022) - [i110]An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua:
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. CoRR abs/2210.11054 (2022) - [i109]Jianwu Fang, Fan Wang, Peining Shen, Zhedong Zheng, Jianru Xue, Tat-Seng Chua:
Behavioral Intention Prediction in Driving Scenes: A Survey. CoRR abs/2211.00385 (2022) - [i108]Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji:
DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis. CoRR abs/2211.05705 (2022) - [i107]Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua:
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization. CoRR abs/2211.07394 (2022) - [i106]Mu Chen, Zhedong Zheng, Yi Yang, Tat-Seng Chua:
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation. CoRR abs/2211.07609 (2022) - [i105]Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua:
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. CoRR abs/2211.10973 (2022) - [i104]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Haitao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. CoRR abs/2211.12054 (2022) - [i103]Jianwu Fang, Lei-Lei Li, Kuan Yang, Zhedong Zheng, Jianru Xue, Tat-Seng Chua:
Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark. CoRR abs/2212.09381 (2022) - [i102]Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua:
Causal Inference for Knowledge Graph based Recommendation. CoRR abs/2212.10046 (2022) - [i101]Wei Ji, Long Chen, Yinwei Wei, Yiming Wu, Tat-Seng Chua:
MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding. CoRR abs/2212.13163 (2022) - 2021
- [j155]Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and challenges in conversational recommender systems: A survey. AI Open 2: 100-126 (2021) - [j154]Qianwen Cao, Heyan Huang, Xindi Shang, Boran Wang, Tat-Seng Chua:
3-D Relation Network for visual relation recognition in videos. Neurocomputing 432: 91-100 (2021) - [j153]Lizi Liao, Le Hong Long, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua:
Dialogue State Tracking with Incremental Reasoning. Trans. Assoc. Comput. Linguistics 9: 557-569 (2021) - [j152]Jingjing Chen, Bin Zhu, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang:
A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition. IEEE Trans. Image Process. 30: 1514-1526 (2021) - [j151]Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. IEEE Trans. Knowl. Data Eng. 33(6): 2493-2504 (2021) - [j150]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j149]Liangming Pan, Jingjing Chen, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Tat-Seng Chua:
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes. IEEE Trans. Multim. 23: 4491-4501 (2021) - [j148]Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu, Yuting Su, Tat-Seng Chua:
Generating Face Images With Attributes for Free. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2733-2743 (2021) - [j147]Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua:
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users. ACM Trans. Inf. Syst. 39(4): 40:1-40:29 (2021) - [c411]Wenqiang Lei, Yisong Miao, Runpeng Xie, Bonnie Webber, Meichun Liu, Tat-Seng Chua, Nancy F. Chen:
Have We Solved The Hard Problem? It's Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence. AAAI 2021: 13208-13216 - [c410]Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua:
Conceptualized and Contextualized Gaussian Embedding. AAAI 2021: 13683-13691 - [c409]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. ACL/IJCNLP (Findings) 2021: 2226-2236 - [c408]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. ACL/IJCNLP (1) 2021: 3277-3287 - [c407]Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. ACL/IJCNLP (1) 2021: 4662-4671 - [c406]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
Few-Shot 3D Point Cloud Semantic Segmentation. CVPR 2021: 8873-8882 - [c405]Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua:
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. CVPR 2021: 9777-9786 - [c404]Fuli Feng, Xilin Rui, Wenjie Wang, Yixin Cao, Tat-Seng Chua:
Pre-training and evaluation of numeracy-oriented language model. ICAIF 2021: 47:1-47:8 - [c403]Fuli Feng, Xiang Wang, Xiangnan He, Ritchie Ng, Tat-Seng Chua:
Time horizon-aware modeling of financial texts for stock price prediction. ICAIF 2021: 51:1-51:8 - [c402]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. KDD 2021: 1717-1725 - [c401]Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. ICMR 2021: 73-81 - [c400]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai:
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2021: 615-618 - [c399]Yingxu He, Lizi Liao, Zheng Zhang, Tat-Seng Chua:
Towards Enriching Responses with Crowd-sourced Knowledge for Task-oriented Dialogue. MuCAI @ ACM Multimedia 2021: 3-11 - [c398]João Magalhães, Tat-Seng Chua, Tao Mei, Alan F. Smeaton:
The Next Generation Multimodal Conversational Search and Recommendation. ACM Multimedia 2021: 953-954 - [c397]Xindi Shang, Yicong Li, Junbin Xiao, Wei Ji, Tat-Seng Chua:
Video Visual Relation Detection via Iterative Inference. ACM Multimedia 2021: 3654-3663 - [c396]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. ACM Multimedia 2021: 3881-3890 - [c395]Yicong Li, Xun Yang, Xindi Shang, Tat-Seng Chua:
Interventional Video Relation Detection. ACM Multimedia 2021: 4091-4099 - [c394]Wei Ji, Yicong Li, Meng Wei, Xindi Shang, Junbin Xiao, Tongwei Ren, Tat-Seng Chua:
VidVRD 2021: The Third Grand Challenge on Video Relation Detection. ACM Multimedia 2021: 4779-4783 - [c393]Yi Bin, Xindi Shang, Bo Peng, Yujuan Ding, Tat-Seng Chua:
Multi-Perspective Video Captioning. ACM Multimedia 2021: 5110-5118 - [c392]Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. ACM Multimedia 2021: 5382-5390 - [c391]Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa:
UrbanMM'21: 1st International Workshop on Multimedia Computing for Urban Data. ACM Multimedia 2021: 5696-5697 - [c390]Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. NAACL-HLT 2021: 5441-5452 - [c389]Xiang Wang, Ying-Xin Wu, An Zhang, Xiangnan He, Tat-Seng Chua:
Towards Multi-Grained Explainability for Graph Neural Networks. NeurIPS 2021: 18446-18458 - [c388]Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. SIGIR 2021: 1-10 - [c387]Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua:
Hybrid Learning to Rank for Financial Event Ranking. SIGIR 2021: 233-243 - [c386]Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. SIGIR 2021: 367-377 - [c385]Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua:
MMConv: An Environment for Multimodal Conversational Search across Multiple Domains. SIGIR 2021: 675-684 - [c384]Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua:
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. SIGIR 2021: 1208-1218 - [c383]Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. SIGIR 2021: 1288-1297 - [c382]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. WSDM 2021: 373-381 - [c381]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW 2021: 878-887 - [c380]Lizi Liao, Tongyao Zhu, Le Hong Long, Tat-Seng Chua:
Multi-domain Dialogue State Tracking with Recursive Inference. WWW 2021: 2568-2577 - [e14]Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa:
UrbanMM'21: Proceedings of the 1st International Workshop on Multimedia Computing for Urban Data, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8669-2 [contents] - [e13]Tat-Seng Chua, Jingdong Wang, Qi Tian, Cathal Gurrin, Jia Jia, Hanwang Zhang, Qianru Sun:
MMAsia 2020: ACM Multimedia Asia, Virtual Event / Singapore, 7-9 March, 2021. ACM 2021, ISBN 978-1-4503-8308-0 [contents] - [i100]Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua:
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. CoRR abs/2101.00774 (2021) - [i99]Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and Challenges in Conversational Recommender Systems: A Survey. CoRR abs/2101.09459 (2021) - [i98]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR abs/2102.07057 (2021) - [i97]An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen:
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. CoRR abs/2104.05527 (2021) - [i96]Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. CoRR abs/2105.03299 (2021) - [i95]Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. CoRR abs/2105.04443 (2021) - [i94]Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. CoRR abs/2105.07585 (2021) - [i93]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. CoRR abs/2105.07624 (2021) - [i92]Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua:
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. CoRR abs/2105.08276 (2021) - [i91]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. CoRR abs/2105.10648 (2021) - [i90]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai:
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. CoRR abs/2105.11826 (2021) - [i89]Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. CoRR abs/2106.01534 (2021) - [i88]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. CoRR abs/2106.03046 (2021) - [i87]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. CoRR abs/2106.16125 (2021) - [i86]Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. CoRR abs/2107.05315 (2021) - [i85]Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction. CoRR abs/2107.12064 (2021) - [i84]Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. CoRR abs/2109.05261 (2021) - [i83]Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models. CoRR abs/2109.11797 (2021) - [i82]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. CoRR abs/2109.12651 (2021) - [i81]Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua:
Hierarchical User Intent Graph Network forMultimedia Recommendation. CoRR abs/2110.14925 (2021) - [i80]Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. CoRR abs/2111.02036 (2021) - [i79]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Learning Robust Recommender from Noisy Implicit Feedback. CoRR abs/2112.01160 (2021) - [i78]Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua:
Rethinking the Two-Stage Framework for Grounded Situation Recognition. CoRR abs/2112.05375 (2021) - [i77]Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. CoRR abs/2112.06197 (2021) - [i76]Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Deconfounded Training for Graph Neural Networks. CoRR abs/2112.15089 (2021) - 2020
- [j146]Ard Oerlemans, Yanming Guo, Michael S. Lew, Tat-Seng Chua:
Special issue on deep learning in image and video retrieval. Int. J. Multim. Inf. Retr. 9(2): 61-62 (2020) - [j145]Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
MGAT: Multimodal Graph Attention Network for Recommendation. Inf. Process. Manag. 57(5): 102277 (2020) - [j144]Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction. Inf. Process. Manag. 57(6): 102076 (2020) - [j143]Bo Peng, Jianjun Lei, Huazhu Fu, Changqing Zhang, Tat-Seng Chua, Xuelong Li:
Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint. IEEE Trans. Circuits Syst. Video Technol. 30(1): 131-144 (2020) - [j142]Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, Tat-Seng Chua:
Adversarial Training Towards Robust Multimedia Recommender System. IEEE Trans. Knowl. Data Eng. 32(5): 855-867 (2020) - [j141]Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua:
Hierarchical Attention Network for Visually-Aware Food Recommendation. IEEE Trans. Multim. 22(6): 1647-1659 (2020) - [j140]Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren, Tat-Seng Chua:
Fast Matrix Factorization With Nonuniform Weights on Missing Data. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2791-2804 (2020) - [j139]Francesco Gelli, Tiberio Uricchio, Xiangnan He, Alberto Del Bimbo, Tat-Seng Chua:
Learning Visual Elements of Images for Discovery of Brand Posts. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 56:1-56:21 (2020) - [c379]Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall:
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms. AAAI 2020: 206-213 - [c378]Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua:
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. AAAI 2020: 254-261 - [c377]Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-Source Domain Adaptation for Visual Sentiment Classification. AAAI 2020: 2661-2668 - [c376]Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua:
Solving Sequential Text Classification as Board-Game Playing. AAAI 2020: 8640-8648 - [c375]Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua:
Image Enhanced Event Detection in News Articles. AAAI 2020: 9040-9047 - [c374]Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua:
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. AAAI 2020: 10542-10550 - [c373]Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang:
Heuristic Black-Box Adversarial Attacks on Video Recognition Models. AAAI 2020: 12338-12345 - [c372]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL 2020: 1061-1071 - [c371]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. ACL 2020: 1463-1475 - [c370]Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang:
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. CVPR 2020: 9270-9278 - [c369]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
SESS: Self-Ensembling Semi-Supervised 3D Object Detection. CVPR 2020: 11076-11084 - [c368]Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua:
Visual Relation Grounding in Videos. ECCV (6) 2020: 447-464 - [c367]Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua:
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. EMNLP (1) 2020: 6355-6364 - [c366]Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua:
Re-examining the Role of Schema Linking in Text-to-SQL. EMNLP (1) 2020: 6943-6954 - [c365]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. ICPR 2020: 723-730 - [c364]Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. AACL/IJCNLP 2020: 122-132 - [c363]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. KDD 2020: 2073-2083 - [c362]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2020: 82-90 - [c361]Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan, Zhenglu Yang, Maosong Sun, Tat-Seng Chua:
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music. ACM Multimedia 2020: 574-582 - [c360]Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. ACM Multimedia 2020: 1132-1141 - [c359]Zixuan Su, Xindi Shang, Jingjing Chen, Yu-Gang Jiang, Zhiyong Qiu, Tat-Seng Chua:
Video Relation Detection via Multiple Hypothesis Association. ACM Multimedia 2020: 3127-3135 - [c358]Lei Meng, Fuli Feng, Xiangnan He, Xiaoyan Gao, Tat-Seng Chua:
Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation. ACM Multimedia 2020: 3460-3468 - [c357]Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, Tat-Seng Chua:
How to Learn Item Representation for Cold-Start Multimedia Recommendation? ACM Multimedia 2020: 3469-3477 - [c356]Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. ACM Multimedia 2020: 3541-3549 - [c355]Kun Liu, Minzhi Zhu, Huiyuan Fu, Huadong Ma, Tat-Seng Chua:
Enhancing Anomaly Detection in Surveillance Videos with Transfer Learning from Action Recognition. ACM Multimedia 2020: 4664-4668 - [c354]Lizi Liao, Lyndon Kennedy, Lynn Wilcox, Tat-Seng Chua:
Crowd Knowledge Enhanced Multimodal Conversational Assistant in Travel Domain. MMM (1) 2020: 405-418 - [c353]Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt:
Neural Sparse Voxel Fields. NeurIPS 2020 - [c352]Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. SIGIR 2020: 159-168 - [c351]Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. SIGIR 2020: 1001-1010 - [c350]Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua:
Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. SIGIR 2020: 1201-1210 - [c349]Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. SIGIR 2020: 1339-1348 - [c348]Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Conversational Recommendation: Formulation, Methods, and Evaluation. SIGIR 2020: 2425-2428 - [c347]Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua:
FinIR 2020: The First Workshop on Information Retrieval in Finance. SIGIR 2020: 2451-2454 - [c346]Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. WSDM 2020: 304-312 - [c345]Xiang Wang, Xiangnan He, Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation. WSDM 2020: 890-893 - [c344]Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. WWW 2020: 99-109 - [i75]Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-source Domain Adaptation for Visual Sentiment Classification. CoRR abs/2001.03886 (2020) - [i74]Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. CoRR abs/2002.09102 (2020) - [i73]Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions. CoRR abs/2003.02587 (2020) - [i72]Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. CoRR abs/2003.05753 (2020) - [i71]Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness. CoRR abs/2004.09731 (2020) - [i70]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. CoRR abs/2004.12704 (2020) - [i69]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. CoRR abs/2005.00701 (2020) - [i68]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Knowledge Enhanced Neural Fashion Trend Forecasting. CoRR abs/2005.03297 (2020) - [i67]Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. CoRR abs/2005.12566 (2020) - [i66]Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua:
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users. CoRR abs/2005.12979 (2020) - [i65]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. CoRR abs/2006.04153 (2020) - [i64]Kun Liu, Xun Yang, Tat-Seng Chua, Huadong Ma, Chuang Gan:
Language Guided Networks for Cross-modal Moment Retrieval. CoRR abs/2006.10457 (2020) - [i63]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
Few-shot 3D Point Cloud Semantic Segmentation. CoRR abs/2006.12052 (2020) - [i62]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. CoRR abs/2007.00194 (2020) - [i61]Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. CoRR abs/2007.01764 (2020) - [i60]Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. CoRR abs/2007.02503 (2020) - [i59]Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua:
Visual Relation Grounding in Videos. CoRR abs/2007.08814 (2020) - [i58]Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt:
Neural Sparse Voxel Fields. CoRR abs/2007.11571 (2020) - [i57]Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. CoRR abs/2008.09151 (2020) - [i56]Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue. CoRR abs/2009.09945 (2020) - [i55]Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua:
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. CoRR abs/2010.03249 (2020) - [i54]