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Papers

PUBLICATIONS

Publications: Publications

FOR A COMPLETE LIST, PLEASE GO TO OUR DBPL WEBSITE.

2023

 1. 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)

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 2. 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)

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 3. 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)

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 4. Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua:
     Cooperative Explanations of Graph Neural Networks. WSDM 2023: 616-624

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 5. 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

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 6. An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
     Invariant Collaborative Filtering to Popularity Distribution Shift. WWW 2023: 1240-1251

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 7. 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

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 8. 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

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 9. 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)

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10. 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)

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11. 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)

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12. 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)

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13. 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)

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14. Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua:
      Generative Recommendation: Towards Next-generation Recommender Paradigm. CoRR
      abs/2304.03516 (2023)

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15. Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
      Diffusion Recommender Model. CoRR abs/2304.04971 (2023)

2022

 1. 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)

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 2. 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)

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 3. 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)

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 4. 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)

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 5. 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)

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 6. 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)

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 7. 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)

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 8. 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)

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 9. 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)

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10. 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)

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11. 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)

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12. 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)

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13. 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)

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14. Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua:
      Rethinking the Two-Stage Framework for Grounded Situation Recognition. AAAI 2022: 2651-2658

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15. 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

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16. 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

2021

  1. 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)
     

  2. Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
    Denoising Implicit Feedback for Recommendation. WSDM 2021: 373-381
     

  3. 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)
     

  4. 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)
     

  5. 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
     

  6. Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua:
    Conceptualized and Contextualized Gaussian Embedding. AAAI 2021: 13683-13691
     

  7. 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
     

  8. Lizi Liao, Tongyao Zhu, Le Hong Long, Tat-Seng Chua: 
    Multi-domain Dialogue State Tracking with Recursive Inference. WWW 2021: 2568-2577

2020

  1. 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)
     

  2. 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)
     

  3. 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)
     

  4. 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)
     

  5. 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)
     

  6. 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)
     

  7. Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
    Multi-Source Domain Adaptation for Visual Sentiment Classification. AAAI 2020: 2661-2668
     

  8. 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
     

  9. 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
     

  10. 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
     

  11. Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
    Semantic Graphs for Generating Deep Questions. ACL 2020: 1463-1475
     

  12. 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
     

  13. Na Zhao, Tat-Seng Chua, Gim Hee Lee:
    SESS: Self-Ensembling Semi-Supervised 3D Object Detection. CVPR 2020: 11076-11084
     

  14. Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua:
    Visual Relation Grounding in Videos. ECCV (6) 2020: 447-464
     

  15. 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
     

  16. 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
     

  17. 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
     

  18. Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
    Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2020: 82-90
     

  19. 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 [Best Paper Award]
     

  20. 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
     

  21. 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
     

  22. 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
     

  23. 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
     

  24. 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
     

  25. 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
     

  26. Lizi Liao, Lyndon Kennedy, Lynn Wilcox, Tat-Seng Chua:
    Crowd Knowledge Enhanced Multimodal Conversational Assistant in Travel Domain. MMM (1) 2020: 405-418
     

  27. 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
     

  28. Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
    Disentangled Graph Collaborative Filtering. SIGIR 2020: 1001-1010
     

  29. 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
     

  30. 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
     

  31. Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
    Conversational Recommendation: Formulation, Methods, and Evaluation. SIGIR 2020: 2425-2428
     

  32. 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
     

  33. Xiang Wang, Xiangnan He, Tat-Seng Chua:
    Learning and Reasoning on Graph for Recommendation. WSDM 2020: 890-893
     

  34. 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

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