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Hongxia Yang
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2020 – today
- 2024
- [j18]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) - [j17]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) - [c111]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Generalizable Graph Neural Network. AAAI 2024: 8320-8328 - [c110]Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi, Hongxia Yang:
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction. ACL (1) 2024: 300-314 - [c109]Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang:
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. ACL (Findings) 2024: 485-492 - [c108]Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu:
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. ACL (Findings) 2024: 4447-4462 - [c107]Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang:
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. ACL (1) 2024: 11385-11396 - [c106]Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang:
DeVAn: Dense Video Annotation for Video-Language Models. ACL (1) 2024: 14305-14321 - [c105]Luo Ji, Jiayu Mao, Hailong Shi, Qian Li, Yunfei Chu, Hongxia Yang:
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation. ECIR (3) 2024: 278-286 - [c104]Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang:
Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR 2024 - [c103]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. ICLR 2024 - [c102]Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang:
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. ICLR 2024 - [c101]Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou:
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. ICLR 2024 - [c100]Xiaotian Han, Yiqi Wang, Bohan Zhai, Quanzeng You, Hongxia Yang:
COCO is "ALL" You Need for Visual Instruction Fine-tuning. ICME 2024: 1-5 - [c99]Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He:
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. ICML 2024 - [c98]Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu:
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. ICML 2024 - [c97]Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong:
Self-Infilling Code Generation. ICML 2024 - [i108]Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu:
Leveraging Print Debugging to Improve Code Generation in Large Language Models. CoRR abs/2401.05319 (2024) - [i107]Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu:
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. CoRR abs/2401.05507 (2024) - [i106]Yiqi Wang, Wentao Chen, Xiaotian Han, Xudong Lin, Haiteng Zhao, Yongfei Liu, Bohan Zhai, Jianbo Yuan, Quanzeng You, Hongxia Yang:
Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning. CoRR abs/2401.06805 (2024) - [i105]Xiaotian Han, Yiqi Wang, Bohan Zhai, Quanzeng You, Hongxia Yang:
COCO is "ALL" You Need for Visual Instruction Fine-tuning. CoRR abs/2401.08968 (2024) - [i104]Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang:
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. CoRR abs/2401.16421 (2024) - [i103]Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu:
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. CoRR abs/2402.09997 (2024) - [i102]Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, Hongxia Yang:
Empowering Large Language Model Agents through Action Learning. CoRR abs/2402.15809 (2024) - [i101]Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang:
How Can LLM Guide RL? A Value-Based Approach. CoRR abs/2402.16181 (2024) - [i100]Haogeng Liu, Quanzeng You, Xiaotian Han, Yiqi Wang, Bohan Zhai, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang:
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. CoRR abs/2403.01487 (2024) - [i99]Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang:
(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. CoRR abs/2403.07191 (2024) - [i98]Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang:
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. CoRR abs/2403.16854 (2024) - [i97]Qihang Fan, Quanzeng You, Xiaotian Han, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang:
ViTAR: Vision Transformer with Any Resolution. CoRR abs/2403.18361 (2024) - [i96]Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang:
InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models. CoRR abs/2404.07940 (2024) - [i95]Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang:
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model. CoRR abs/2405.17815 (2024) - [i94]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) - [i93]Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu:
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. CoRR abs/2406.16989 (2024) - [i92]Shijia Yang, Bohan Zhai, Quanzeng You, Jianbo Yuan, Hongxia Yang, Chenfeng Xu:
Law of Vision Representation in MLLMs. CoRR abs/2408.16357 (2024) - [i91]Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang, Jingren Zhou:
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation. CoRR abs/2409.07416 (2024) - 2023
- [j16]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) - [j15]Xinpeng Zhang, Meng Zhao, Yao Zhang, Ji Ao, Hongxia Yang, Congcong Wang, Shengyong Chen:
T-Net: Hierarchical Pyramid Network for Microaneurysm Detection in Retinal Fundus Image. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j14]Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang:
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35(2): 1283-1295 (2023) - [j13]Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang:
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 6264-6277 (2023) - [j12]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35(7): 6866-6886 (2023) - [j11]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou:
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c96]Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang:
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CVPR 2023: 15095-15104 - [c95]Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu:
Stable Prediction on Graphs with Agnostic Distribution Shifts. CDPD 2023: 49-74 - [c94]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [c93]Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu:
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW 2023: 3077-3085 - [i90]Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang:
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CoRR abs/2303.14865 (2023) - [i89]Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang:
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. CoRR abs/2310.03173 (2023) - [i88]Yiren Jian, Tingkai Liu, Yunzhe Tao, Soroush Vosoughi, Hongxia Yang:
SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models. CoRR abs/2310.03291 (2023) - [i87]Haogeng Liu, Qihang Fan, Tingkai Liu, Linjie Yang, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang:
Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling. CoRR abs/2310.04991 (2023) - [i86]Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang:
Video-CSR: Complex Video Digest Creation for Visual-Language Models. CoRR abs/2310.05060 (2023) - [i85]Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang:
Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR abs/2310.06272 (2023) - [i84]Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou:
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. CoRR abs/2310.06389 (2023) - [i83]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. CoRR abs/2310.07999 (2023) - [i82]Qianli Ma, Haotian Zhou, Tingkai Liu, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang:
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning. CoRR abs/2310.10080 (2023) - [i81]Haotian Zhou, Tingkai Liu, Qianli Ma, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang:
LoBaSS: Gauging Learnability in Supervised Fine-tuning Data. CoRR abs/2310.13008 (2023) - [i80]Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang:
A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. CoRR abs/2311.10614 (2023) - [i79]Xiaotian Han, Quanzeng You, Yongfei Liu, Wentao Chen, Huangjie Zheng, Khalil Mrini, Xudong Lin, Yiqi Wang, Bohan Zhai, Jianbo Yuan, Heng Wang, Hongxia Yang:
CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models. CoRR abs/2311.11567 (2023) - [i78]Xiaohui Chen, Yongfei Liu, Yingxiang Yang, Jianbo Yuan, Quanzeng You, Li-Ping Liu, Hongxia Yang:
Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis. CoRR abs/2311.17126 (2023) - [i77]Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong:
Self-Infilling Code Generation. CoRR abs/2311.17972 (2023) - [i76]Tianqi Chen, Yongfei Liu, Zhendong Wang, Jianbo Yuan, Quanzeng You, Hongxia Yang, Mingyuan Zhou:
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts. CoRR abs/2312.01408 (2023) - [i75]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Graph Neural Network. CoRR abs/2312.12475 (2023) - [i74]Luo Ji, Jiayu Mao, Hailong Shi, Qian Li, Yunfei Chu, Hongxia Yang:
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation. CoRR abs/2312.17072 (2023) - 2022
- [j10]Meng Zhao, Hongxia Yang, Fan Shi, Xinpeng Zhang, Yao Zhang, Xuguo Sun, Hao Wang:
MSS-WISN: Multiscale Multistaining WBCs Instance Segmentation Network. IEEE Access 10: 65598-65610 (2022) - [j9]Hongxia Yang, Xingqiang Teng:
Mobile Robot Path Planning Based on Enhanced Dynamic Window Approach and Improved A ∗ Algorithm. J. Robotics 2022: 2183229:1-2183229:9 (2022) - [c92]Yemin Yu, Kun Kuang, Jiangchao Yang, Zeke Wang, Kunyang Jia, Weiming Lu, Hongxia Yang, Fei Wu:
Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation. CICAI (2) 2022: 95-111 - [c91]Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang:
Intra-session Context-aware Feed Recommendation in Live Systems. CIKM 2022: 4079-4083 - [c90]Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang:
Single Stage Virtual Try-On Via Deformable Attention Flows. ECCV (15) 2022: 409-425 - [c89]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang:
Reliable Adversarial Distillation with Unreliable Teachers. ICLR 2022 - [c88]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). ICML 2022: 9226-9259 - [c87]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. ICML 2022: 23318-23340 - [c86]Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang:
GraphMAE: Self-Supervised Masked Graph Autoencoders. KDD 2022: 594-604 - [c85]Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang:
OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. KDD 2022: 3418-3428 - [c84]Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang:
Device-cloud Collaborative Recommendation via Meta Controller. KDD 2022: 4353-4362 - [c83]Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang:
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. ACM Multimedia 2022: 1819-1827 - [c82]Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang:
AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation. ECML/PKDD (1) 2022: 474-490 - [c81]Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen:
BaGuaLu: targeting brain scale pretrained models with over 37 million cores. PPoPP 2022: 192-204 - [c80]Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu:
Uncovering Causal Effects of Online Short Videos on Consumer Behaviors. WSDM 2022: 997-1006 - [c79]Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang:
Deep Unified Representation for Heterogeneous Recommendation. WWW 2022: 2141-2152 - [c78]Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang:
STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. WWW 2022: 3217-3228 - [i73]Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang:
Deep Unified Representation for Heterogeneous Recommendation. CoRR abs/2201.05861 (2022) - [i72]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. CoRR abs/2202.03052 (2022) - [i71]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). CoRR abs/2203.12221 (2022) - [i70]Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang:
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. CoRR abs/2203.15312 (2022) - [i69]Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems. CoRR abs/2205.08084 (2022) - [i68]Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang:
GraphMAE: Self-Supervised Masked Graph Autoencoders. CoRR abs/2205.10803 (2022) - [i67]Zhikang Li, Huiling Zhou, Shuai Bai, Peike Li, Chang Zhou, Hongxia Yang:
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing. CoRR abs/2205.11705 (2022) - [i66]Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui:
Instance-wise Prompt Tuning for Pretrained Language Models. CoRR abs/2206.01958 (2022) - [i65]Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang:
Knowledge Distillation of Transformer-based Language Models Revisited. CoRR abs/2206.14366 (2022) - [i64]Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang:
Device-Cloud Collaborative Recommendation via Meta Controller. CoRR abs/2207.03066 (2022) - [i63]Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang:
Single Stage Virtual Try-on via Deformable Attention Flows. CoRR abs/2207.09161 (2022) - [i62]Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang:
Prompt Tuning for Generative Multimodal Pretrained Models. CoRR abs/2208.02532 (2022) - [i61]Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu:
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. CoRR abs/2208.09130 (2022) - [i60]Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu:
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. CoRR abs/2209.05227 (2022) - [i59]Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang:
Intra-session Context-aware Feed Recommendation in Live Systems. CoRR abs/2210.07815 (2022) - 2021
- [j8]Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu:
Continuous treatment effect estimation via generative adversarial de-confounding. Data Min. Knowl. Discov. 35(6): 2467-2497 (2021) - [j7]Yugang Ji, Mingyang Yin, Hongxia Yang, Jingren Zhou, Vincent W. Zheng, Chuan Shi, Yuan Fang:
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling. ACM Trans. Knowl. Discov. Data 15(1): 10:1-10:23 (2021) - [c77]Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. AAAI 2021: 4384-4392 - [c76]Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. AAAI 2021: 10192-10200 - [c75]Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. ACL/IJCNLP (1) 2021: 514-524 - [c74]Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. ACL/IJCNLP (Findings) 2021: 4831-4843 - [c73]Hai Zheng, Hongxia Yang:
Evaluation Index of Algorithm Performance in Building Energy Saving Optimization Design. ATCI (1) 2021: 986-990 - [c72]Luo Ji, Qi Qin, Bingqing Han, Hongxia Yang:
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation. CIKM 2021: 782-791 - [c71]Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu:
DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality. CVPR Workshops 2021: 1744-1747 - [c70]Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded, Controllable and Debiased Image Completion With Lexical Semantics. CVPR Workshops 2021: 1748-1751 - [c69]Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang:
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. CVPR Workshops 2021: 4034-4043 - [c68]