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2020 – today
- 2023
[j18]Xin-Yu Lin
, Yi-Yan Xu, Wenjie Wang, Yang Zhang, Fuli Feng:
Mitigating Spurious Correlations for Self-supervised Recommendation. Mach. Intell. Res. 20(2): 263-275 (2023)- [j17]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) - [j16]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) - [j15]Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang:
CatGCN: Graph Convolutional Networks With Categorical Node Features. IEEE Trans. Knowl. Data Eng. 35(4): 3500-3511 (2023) - [c69]Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu:
A Causal View for Item-level Effect of Recommendation on User Preference. WSDM 2023: 240-248 - [c68]Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He:
Unbiased Knowledge Distillation for Recommendation. WSDM 2023: 976-984 - [c67]Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He:
On the Theories Behind Hard Negative Sampling for Recommendation. WWW 2023: 812-822 - [c66]Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang:
Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. WWW 2023: 938-948 - [c65]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 - [c64]Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng:
MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. WWW 2023: 2000-2010 - [i59]Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He:
On the Theories Behind Hard Negative Sampling for Recommendation. CoRR abs/2302.03472 (2023) - [i58]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) - [i57]Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Generative Recommendation: Towards Next-generation Recommender Paradigm. CoRR abs/2304.03516 (2023) - [i56]Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
Diffusion Recommender Model. CoRR abs/2304.04971 (2023) - [i55]Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang:
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. CoRR abs/2304.13643 (2023) - [i54]Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng:
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. CoRR abs/2304.14050 (2023) - [i53]Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. CoRR abs/2305.00447 (2023) - [i52]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) - [i51]Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. CoRR abs/2305.07609 (2023) - [i50]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) - 2022
- [j14]Dengyun Xu, Xuanjing Shen, Yingda Lyu, Xiaoyu Du, Fuli Feng:
MC-Net: Learning mutually-complementary features for image manipulation localization. Int. J. Intell. Syst. 37(5): 3072-3089 (2022) - [j13]Xiaoyan Gao, Fuli Feng, Heyan Huang, Xian-Ling Mao, Tian Lan, Zewen Chi:
Food recommendation with graph convolutional network. Inf. Sci. 584: 170-183 (2022) - [j12]Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin:
Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data 16(1): 2:1-2:23 (2022) - [j11]Teng Sun, Chun Wang, Xuemeng Song, Fuli Feng, Liqiang Nie:
Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 52:1-52:20 (2022) - [c63]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 - [c62]Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma:
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. EMNLP 2022: 46-61 - [c61]Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang:
Towards Backdoor Attack on Deep Learning based Time Series Classification. ICDE 2022: 1274-1287 - [c60]Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua:
Dynamic Hypergraph Convolutional Network. ICDE 2022: 1621-1634 - [c59]Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng:
Copy Motion From One to Another: Fake Motion Video Generation. IJCAI 2022: 1223-1231 - [c58]Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu:
GL-RG: Global-Local Representation Granularity for Video Captioning. IJCAI 2022: 2769-2775 - [c57]Sihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang:
Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis. KDD 2022: 305-315 - [c56]Yang Liu, Xiang Ao, Fuli Feng, Qing He:
UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. KDD 2022: 1131-1140 - [c55]Xiaoyu Du, Zike Wu, Fuli Feng, Xiangnan He, Jinhui Tang:
Invariant Representation Learning for Multimedia Recommendation. ACM Multimedia 2022: 619-628 - [c54]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 - [c53]Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang:
Interpolative Distillation for Unifying Biased and Debiased Recommendation. SIGIR 2022: 40-49 - [c52]Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua:
Structured and Natural Responses Co-generation for Conversational Search. SIGIR 2022: 155-164 - [c51]Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. SIGIR 2022: 1251-1261 - [c50]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c49]Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He:
Learning Robust Recommenders through Cross-Model Agreement. WWW 2022: 2015-2025 - [c48]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 - [c47]Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. WWW 2022: 3124-3133 - [c46]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 - [i49]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) - [i48]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) - [i47]Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. CoRR abs/2202.00217 (2022) - [i46]Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan:
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification. CoRR abs/2202.02529 (2022) - [i45]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) - [i44]Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. CoRR abs/2204.13844 (2022) - [i43]Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng:
Copy Motion From One to Another: Fake Motion Video Generation. CoRR abs/2205.01373 (2022) - [i42]Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang:
Addressing Confounding Feature Issue for Causal Recommendation. CoRR abs/2205.06532 (2022) - [i41]Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He:
Mitigating Hidden Confounding Effects for Causal Recommendation. CoRR abs/2205.07499 (2022) - [i40]Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu:
GL-RG: Global-Local Representation Granularity for Video Captioning. CoRR abs/2205.10706 (2022) - [i39]Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang:
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network. CoRR abs/2207.07503 (2022) - [i38]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) - [i37]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) - [i36]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) - [i35]Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li:
Causal Inference in Recommender Systems: A Survey and Future Directions. CoRR abs/2208.12397 (2022) - [i34]Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin:
Causal Intervention for Fairness in Multi-behavior Recommendation. CoRR abs/2209.04589 (2022) - [i33]Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He:
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. CoRR abs/2209.11679 (2022) - [i32]Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He:
Unbiased Knowledge Distillation for Recommendation. CoRR abs/2211.14729 (2022) - [i31]Xinyu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng:
Mitigating Spurious Correlations for Self-supervised Recommendation. CoRR abs/2212.04282 (2022) - 2021
- [j10]Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He:
Structure-enhanced meta-learning for few-shot graph classification. AI Open 2: 160-167 (2021) - [j9]Jingtao Ding, Guanghui Yu, Xiangnan He, Fuli Feng, Yong Li, Depeng Jin:
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. IEEE Trans. Knowl. Data Eng. 33(2): 667-681 (2021) - [j8]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) - [j7]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) - [j6]Weili Guan, Zhaozheng Chen, Fuli Feng, Weifeng Liu, Liqiang Nie:
Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 13:1-13:20 (2021) - [j5]Xin Yang, Xuemeng Song, Fuli Feng, Haokun Wen, Ling-Yu Duan, Liqiang Nie:
Attribute-wise Explainable Fashion Compatibility Modeling. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 36:1-36:21 (2021) - [c45]Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua:
Conceptualized and Contextualized Gaussian Embedding. AAAI 2021: 13683-13691 - [c44]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. ACL/IJCNLP (Findings) 2021: 2226-2236 - [c43]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 - [c42]Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie:
Counterfactual Inference for Text Classification Debiasing. ACL/IJCNLP (1) 2021: 5434-5445 - [c41]Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang:
Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. CIKM 2021: 2434-2443 - [c40]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 - [c39]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 - [c38]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. KDD 2021: 1717-1725 - [c37]Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He:
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. KDD 2021: 1791-1800 - [c36]Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He:
Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. RecSys 2021: 825-827 - [c35]Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. SIGIR 2021: 1-10 - [c34]Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang:
Causal Intervention for Leveraging Popularity Bias in Recommendation. SIGIR 2021: 11-20 - [c33]Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua:
Hybrid Learning to Rank for Financial Event Ranking. SIGIR 2021: 233-243 - [c32]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. SIGIR 2021: 726-735 - [c31]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 - [c30]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 - [c29]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. WSDM 2021: 373-381 - [c28]Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui:
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. WWW 2021: 3651-3662 - [i30]Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He:
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification. CoRR abs/2103.03547 (2021) - [i29]Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang:
Causal Intervention for Leveraging Popularity Bias in Recommendation. CoRR abs/2105.06067 (2021) - [i28]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) - [i27]Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng:
Probabilistic and Variational Recommendation Denoising. CoRR abs/2105.09605 (2021) - [i26]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. CoRR abs/2105.10648 (2021) - [i25]Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. CoRR abs/2106.01534 (2021) - [i24]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. CoRR abs/2106.03046 (2021) - [i23]Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang:
Causal Incremental Graph Convolution for Recommender System Retraining. CoRR abs/2108.06889 (2021) - [i22]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Learning Robust Recommender from Noisy Implicit Feedback. CoRR abs/2112.01160 (2021) - 2020
- [j4]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) - [j3]Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang, Yinglong Wang:
Large-Scale Question Tagging via Joint Question-Topic Embedding Learning. ACM Trans. Inf. Syst. 38(2): 20:1-20:23 (2020) - [c27]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 - [c26]Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang:
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. ICDM 2020: 661-670 - [c25]Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang:
Bilinear Graph Neural Network with Neighbor Interactions. IJCAI 2020: 1452-1458 - [c24]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 - [c23]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 - [c22]Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang:
How to Retrain Recommender System?: A Sequential Meta-Learning Method. SIGIR 2020: 1479-1488 - [c21]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 - [i21]Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang:
Bilinear Graph Neural Network with Node Interactions. CoRR abs/2002.03575 (2020) - [i20]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) - [i19]Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang:
How to Retrain Recommender System? A Sequential Meta-Learning Method. CoRR abs/2005.13258 (2020) - [i18]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. CoRR abs/2006.04153 (2020) - [i17]Hande Dong, Zhaolin Ding, Xiangnan He, Fuli Feng, Shuxian Bi:
Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning. CoRR abs/2006.13090 (2020) - [i16]Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang:
CatGCN: Graph Convolutional Networks with Categorical Node Features. CoRR abs/2009.05303 (2020) - [i15]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) - [i14]Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. CoRR abs/2010.03240 (2020) - [i13]