Tat-Seng Chua

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 576

Top Venues

University of Leeds, UK (PHD)

Education History

University of Leeds, UK

PHD

Publications

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 (2024)
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 (2024)
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) (2024)
Lidong Zeng, Zhedong Zheng, Yinwei Wei, Tat-Seng Chua
Instilling Multi-round Thinking to Text-guided Image Generation. CoRR (2024)
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 (2024)
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 (2024)
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) (2024)
Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua
Data-efficient Fine-tuning for LLM-based Recommendation. CoRR (2024)
Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua
LLM-based Federated Recommendation. CoRR (2024)
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 (2024)
Yujuan Ding, Zhihui Lai, P. Y. Mok, Tat-Seng Chua
Computational Technologies for Fashion Recommendation: A Survey. ACM Comput. Surv. 56 (5) (2024)
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 (2024)
Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. CoRR (2024)
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) (2024)
Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua
Distillation Enhanced Generative Retrieval. CoRR (2024)
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) (2024)
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 (2024)
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 (2023)
Shengqiong Wu, Hao Fei, Wei Ji, Tat-Seng Chua
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment. CoRR (2023)
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
Diffusion Recommender Model. SIGIR (2023)
Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua
Transfer Visual Prompt Generator across LLMs. CoRR (2023)
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 (2023)
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. ACL (2) (2023)
An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. NeurIPS (2023)
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)
Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. CoRR (2023)
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 (2023)
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)
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)
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 (2023)
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)
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)
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)
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 (2023)
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 (2023)
Meng Chu, Zhedong Zheng, Wei Ji, Tat-Seng Chua
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatially Relation Matching. CoRR (2023)
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)
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) (2023)
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) (2023)
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)
Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. CoRR (2023)
Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction. ACL (Findings) (2023)
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 (2023)
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 (2023)
Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins
ACM WSDM 2023 Report. SIGWEB Newsl. 2023 (Spring) (2023)
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 (2023)
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) (2023)
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 (2023)
Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. CoRR (2023)
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)
Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. EMNLP (Findings) (2023)
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 (2023)
Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua
XNLP: An Interactive Demonstration System for Universal Structured NLP. CoRR (2023)
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)
Bobo Li, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji
Revisiting Conversation Discourse for Dialogue Disentanglement. CoRR (2023)
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 (2023)
Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua
Contrastive Video Question Answering via Video Graph Transformer. CoRR (2023)
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)
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) (2023)
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. CoRR (2023)
Ao Zhang, Wei Ji, Tat-Seng Chua
NExT-Chat: An LMM for Chat, Detection and Segmentation. CoRR (2023)
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)
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 (2023)
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)
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)
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) (2023)
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
LLMDet: A Large Language Models Detection Tool. CoRR (2023)
An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Boosting Causal Discovery via Adaptive Sample Reweighting. ICLR (2023)
Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua
Causal Disentangled Recommendation Against User Preference Shifts. CoRR (2023)
Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. CoRR (2023)
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
Diffusion Recommender Model. CoRR (2023)
Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua
VPGTrans: Transfer Visual Prompt Generator across LLMs. NeurIPS (2023)
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 (2023)
Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua
Discovering Spatio-Temporal Rationales for Video Question Answering. CoRR (2023)
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) (2023)
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)
Moxin Li, Wenjie Wang, Fuli Feng, Jizhi Zhang, Tat-Seng Chua
Robust Instruction Optimization for Large Language Models with Distribution Shifts. CoRR (2023)
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)
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 (2023)
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)
Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua
NExT-GPT: Any-to-Any Multimodal LLM. CoRR (2023)
Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua
Dual Semantic Knowledge Composed Multimodal Dialog Systems. CoRR (2023)
Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua
Discovering Dynamic Causal Space for DAG Structure Learning. CoRR (2023)
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 (2023)
An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, Tat-Seng Chua
On Generative Agents in Recommendation. CoRR (2023)
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 (2023)
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 (2023)
Wei Ji, Yinwei Wei, Zhedong Zheng, Hao Fei, Tat-Seng Chua
Deep Multimodal Learning for Information Retrieval. ACM Multimedia (2023)
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) (2023)
Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua
Learnable Pillar-based Re-ranking for Image-Text Retrieval. CoRR (2023)
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 (2023)
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)
Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua
Generative Recommendation: Towards Next-generation Recommender Paradigm. CoRR (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
Context-aware Event Forecasting via Graph Disentanglement. CoRR (2023)
Jingyun Xu, Changmeng Zheng, Yi Cai, Tat-Seng Chua
Improving Named Entity Recognition via Bridge-based Domain Adaptation. ACL (Findings) (2023)
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR (2023)
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) (2023)
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)
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 (2023)
Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
Cooperative Explanations of Graph Neural Networks. WSDM (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tat-Seng Chua