Chua, Tat-Seng

147 publications

AAAI 2025 Aligning Large Language Models for Faithful Integrity Against Opposing Argument Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua

ICLR 2025 AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua

ICML 2025 AnyEdit: Edit Any Knowledge Encoded in Language Models Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua

AAAI 2025 Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Tat-Seng Chua, Yao Zhao

ICCV 2025 Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program Minghe Gao, Xuqi Liu, Zhongqi Yue, Yang Wu, Shuang Chen, Juncheng Li, Siliang Tang, Fei Wu, Tat-Seng Chua, Yueting Zhuang

ICML 2025 Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark Bingchen Miao, Yang Wu, Minghe Gao, Qifan Yu, Wendong Bu, Wenqiao Zhang, Yunfei Li, Siliang Tang, Tat-Seng Chua, Juncheng Li

ICLR 2025 Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

ICCV 2025 Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis Lei-Lei Li, Jianwu Fang, Junbin Xiao, Shanmin Pang, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua

AAAI 2025 Combating Multimodal LLM Hallucination via Bottom-up Holistic Reasoning Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua

NeurIPS 2025 Continual Multimodal Contrastive Learning Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua

NeurIPS 2025 Counterfactual Evolution of Multimodal Datasets via Visual Programming Minghe Gao, Zhongqi Yue, Wenjie Yan, Yihao Hu, Wei Ji, Siliang Tang, Jun Xiao, Tat-Seng Chua, Yueting Zhuang, Juncheng Li

ICML 2025 DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua

ICLR 2025 Efficient Inference for Large Language Model-Based Generative Recommendation Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CVPR 2025 EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering Sheng Zhou, Junbin Xiao, Qingyun Li, Yicong Li, Xun Yang, Dan Guo, Meng Wang, Tat-Seng Chua, Angela Yao

IJCAI 2025 External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding Jisheng Dang, Huicheng Zheng, Xudong Wu, Jingmei Jiao, Bimei Wang, Jun Yang, Bin Hu, Jianhuang Lai, Tat-Seng Chua

ICML 2025 FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua

ICLR 2025 Fine-Grained Verifiers: Preference Modeling as Next-Token Prediction in Vision-Language Alignment Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua

NeurIPS 2025 IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation Zijie Lin, Yang Zhang, Xiaoyan Zhao, Fengbin Zhu, Fuli Feng, Tat-Seng Chua

NeurIPS 2025 JavisGPT: A Unified Multi-Modal LLM for Sounding-Video Comprehension and Generation Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, Jianzhang Gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua

NeurIPS 2025 L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua

ICLR 2025 Language Representations Can Be What Recommenders Need: Findings and Potentials Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua

CVPR 2025 Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene Shengqiong Wu, Hao Fei, Jingkang Yang, Xiangtai Li, Juncheng Li, Hanwang Zhang, Tat-seng Chua

AAAI 2025 LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai

ICML 2025 Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model Fei Shen, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang, Jinhui Tang, Tat-Seng Chua

ICLR 2025 NExT-Mol: 3D Diffusion Meets 1d Language Modeling for 3D Molecule Generation Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua

ICLR 2025 Neural Causal Graph for Interpretable and Intervenable Classification Jiawei Wang, Shaofei Lu, Da Cao, Dongyu Wang, Yuquan Le, Zhe Quan, Tat-Seng Chua

ICML 2025 On Path to Multimodal Generalist: General-Level and General-Bench Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang

NeurIPS 2025 On Reasoning Strength Planning in Large Reasoning Models Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, Yi Zhang, Xiang Wang, Tat-Seng Chua

AAAI 2025 Optimize Incompatible Parameters Through Compatibility-Aware Knowledge Integration Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu

ICLR 2025 Preference Diffusion for Recommendation Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua

CVPR 2025 RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness Tianyu Yu, Haoye Zhang, Qiming Li, Qixin Xu, Yuan Yao, Da Chen, Xiaoman Lu, Ganqu Cui, Yunkai Dang, Taiwen He, Xiaocheng Feng, Jun Song, Bo Zheng, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

NeurIPS 2025 RSafe: Incentivizing Proactive Reasoning to Build Robust and Adaptive LLM Safeguards Jingnan Zheng, Xiangtian Ji, Yijun Lu, Chenhang Cui, Weixiang Zhao, Gelei Deng, Zhenkai Liang, An Zhang, Tat-Seng Chua

CVPR 2025 SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua

CVPR 2025 STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-Guided Self-Training Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang, Siliang Tang, Yueting Zhuang, Tat-Seng Chua

NeurIPS 2025 Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models Chenhang Cui, Gelei Deng, An Zhang, Jingnan Zheng, Yicong Li, Lianli Gao, Tianwei Zhang, Tat-Seng Chua

ICLRW 2025 ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use Kaixin Li, Meng Ziyang, Hongzhan Lin, Ziyang Luo, Yuchen Tian, Jing Ma, Zhiyong Huang, Tat-Seng Chua

ICLR 2025 TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua

NeurIPS 2025 The Emergence of Abstract Thought in Large Language Models Beyond Any Language Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang

ICLR 2025 Towards Semantic Equivalence of Tokenization in Multimodal LLM Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan

NeurIPS 2025 Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Hengxing Cai, Kenji Kawaguchi, Tat-Seng Chua, Yang Zhang, Xiang Wang

ICCV 2025 Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Xiao Liang, Di Wang, Zhicheng Jiao, Ronghan Li, Pengfei Yang, Quan Wang, Tat-Seng Chua

CVPR 2025 Universal Scene Graph Generation Shengqiong Wu, Hao Fei, Tat-seng Chua

NeurIPS 2025 When Less Language Is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu

CVPR 2025 Zero-1-to-a: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion Zhenglin Zhou, Fan Ma, Hehe Fan, Tat-Seng Chua

IJCAI 2024 A Survey on Neural Question Generation: Methods, Applications, and Prospects Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua

NeurIPS 2024 ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-Based Evaluation Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua

CVPR 2024 Abductive Ego-View Accident Video Understanding for Safe Driving Perception Jianwu Fang, Lei-lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua

ICML 2024 Auto-Encoding Morph-Tokens for Multimodal LLM Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang

CVPR 2024 Can I Trust Your Answer? Visually Grounded Video Question Answering Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua

ICLR 2024 Composed Image Retrieval with Text Feedback via Multi-Grained Uncertainty Regularization Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua

CVPR 2024 Discriminative Probing and Tuning for Text-to-Image Generation Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua

ECCV 2024 Disentangling Masked Autoencoders for Unsupervised Domain Generalization An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua

CVPR 2024 Dysen-VDM: Empowering Dynamics-Aware Text-to-Video Diffusion with LLMs Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua

ICLR 2024 Fine-Tuning Multimodal LLMs to Follow Zero-Shot Demonstrative Instructions Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang

AAAI 2024 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

AAAI 2024 Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua

CVPR 2024 LASO: Language-Guided Affordance Segmentation on 3D Object Yicong Li, Na Zhao, Junbin Xiao, Chun Feng, Xiang Wang, Tat-seng Chua

ECCV 2024 LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang

ICML 2024 Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang

ICML 2024 NExT-Chat: An LMM for Chat, Detection and Segmentation Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua

ICML 2024 NExT-GPT: Any-to-Any Multimodal LLM Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua

NeurIPS 2024 On SoftMax Direct Preference Optimization for Recommendation Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua

ICLR 2024 Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua

CVPR 2024 RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun, Tat-Seng Chua

AAAI 2024 Temporally and Distributionally Robust Optimization for Cold-Start Recommendation Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua

ICLR 2024 Towards 3D Molecule-Text Interpretation in Language Models Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian

ECCV 2024 Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching Meng Chu, Zhedong Zheng, Wei Ji, Tingyu Wang, Tat-Seng Chua

NeurIPS 2024 Towards Neuron Attributions in Multi-Modal Large Language Models Junfeng Fang, Zongze Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua

NeurIPS 2024 Vitron: A Unified Pixel-Level Vision LLM for Understanding, Generating, Segmenting, Editing Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan

IJCAI 2023 A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua

CVPR 2023 Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning Wei Ji, Renjie Liang, Zhedong Zheng, Wenqiao Zhang, Shengyu Zhang, Juncheng Li, Mengze Li, Tat-seng Chua

ICLR 2023 Boosting Causal Discovery via Adaptive Sample Reweighting An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua

ICCV 2023 Discovering Spatio-Temporal Rationales for Video Question Answering Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua

NeurIPS 2023 Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua

AAAI 2023 FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua

ICCV 2023 Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang

NeurIPS 2023 Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion Shengqiong Wu, Hao Fei, Hanwang Zhang, Tat-Seng Chua

NeurIPS 2023 Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua

NeurIPS 2023 VPGTrans: Transfer Visual Prompt Generator Across LLMs Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua

AAAI 2023 Video-Audio Domain Generalization via Confounder Disentanglement 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

AAAI 2023 Visually Grounded Commonsense Knowledge Acquisition Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun

ICLR 2022 Discovering Invariant Rationales for Graph Neural Networks Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua

ECCV 2022 Fine-Grained Scene Graph Generation with Data Transfer Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua

NeurIPS 2022 Incorporating Bias-Aware Margins into Contrastive Loss for Collaborative Filtering An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua

CVPR 2022 Invariant Grounding for Video Question Answering Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua

NeurIPS 2022 LasUIE: Unifying Information Extraction with Latent Adaptive Structure-Aware Generative Language Model Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua

ICML 2022 Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua

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

ECCV 2022 Video Graph Transformer for Video Question Answering Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan

AAAI 2022 Video as Conditional Graph Hierarchy for Multi-Granular Question Answering Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua

AAAI 2021 Conceptualized and Contextualized Gaussian Embedding Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua

CVPR 2021 Few-Shot 3D Point Cloud Semantic Segmentation Na Zhao, Tat-Seng Chua, Gim Hee Lee

AAAI 2021 Have We Solved the Hard Problem? It's Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence Wenqiang Lei, Yisong Miao, Runpeng Xie, Bonnie Webber, Meichun Liu, Tat-Seng Chua, Nancy F. Chen

CVPR 2021 NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua

NeurIPS 2021 Towards Multi-Grained Explainability for Graph Neural Networks Xiang Wang, Yingxin Wu, An Zhang, Xiangnan He, Tat-Seng Chua

AAAI 2020 Heuristic Black-Box Adversarial Attacks on Video Recognition Models Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang

AAAI 2020 Image Enhanced Event Detection in News Articles Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua

AAAI 2020 Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua

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

NeurIPS 2020 Neural Sparse Voxel Fields Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt

AAAI 2020 PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall

AAAI 2020 Solving Sequential Text Classification as Board-Game Playing Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua

ECCV 2020 Visual Relation Grounding in Videos Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua

AAAI 2020 Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua

AAAI 2019 A Whole New Ball Game: Harvesting Game Data for Player Profiling Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua

IJCAI 2019 Enhancing Stock Movement Prediction with Adversarial Training Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua

AAAI 2019 Explainable Reasoning over Knowledge Graphs for Recommendation Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua

NeurIPS 2019 Learning to Self-Train for Semi-Supervised Few-Shot Classification Xinzhe Li, Qianru Sun, Yaoyao Liu, Qin Zhou, Shibao Zheng, Tat-Seng Chua, Bernt Schiele

AAAI 2019 TransNFCM: Translation-Based Neural Fashion Compatibility Modeling Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua

IJCAI 2018 Affective Image Content Analysis: A Comprehensive Survey Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer

IJCAI 2018 Cross-Domain Depression Detection via Harvesting Social Media Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall

IJCAI 2018 Improving Implicit Recommender Systems with View Data Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu

IJCAI 2018 Outer Product-Based Neural Collaborative Filtering Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua

IJCAI 2018 Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua

UAI 2018 fBGD: Learning Embeddings from Positive Unlabeled Data with BGD Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose

IJCAI 2017 Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua

IJCAI 2017 Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu

IJCAI 2017 Representativeness-Aware Aspect Analysis for Brand Monitoring in Social Media Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua

CVPR 2017 SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua

AAAI 2017 Towards User Personality Profiling from Multiple Social Networks Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua

AAAI 2017 TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning Aleksandr Farseev, Tat-Seng Chua

CVPR 2017 Visual Translation Embedding Network for Visual Relation Detection Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang, Tat-Seng Chua

AAAI 2016 Discrete Image Hashing Using Large Weakly Annotated Photo Collections Hanwang Zhang, Na Zhao, Xindi Shang, Huan-Bo Luan, Tat-Seng Chua

IJCAI 2016 DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua

AAAI 2016 From Tweets to Wellness: Wellness Event Detection from Twitter Streams Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua

CVPR 2016 Online Collaborative Learning for Open-Vocabulary Visual Classifiers Hanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huanbo Luan, Tat-Seng Chua

IJCAI 2016 What Does Social Media Say About Your Stress? Huijie Lin, Jia Jia, Liqiang Nie, Guangyao Shen, Tat-Seng Chua

IJCAI 2015 Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation Yongfeng Zhang, Yunzhi Tan, Min Zhang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma

AAAI 2015 Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua

IJCAI 2015 Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning Xuemeng Song, Liqiang Nie, Luming Zhang, Maofu Liu, Tat-Seng Chua

ICCV 2015 Learning Image and User Features for Recommendation in Social Networks Xue Geng, Hanwang Zhang, Jingwen Bian, Tat-Seng Chua

AAAI 2015 Topical Word Embeddings Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

AAAI 2014 User Intent Identification from Online Discussions Using a Joint Aspect-Action Topic Model Ghasem Heyrani-Nobari, Tat-Seng Chua

AAAI 2013 A Pattern Matching Based Model for Implicit Opinion Question Identification Hadi Amiri, Zheng-Jun Zha, Tat-Seng Chua

AAAI 2013 From Interest to Function: Location Estimation in Social Media Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, Tat-Seng Chua

CVPR 2012 Robust Non-Negative Graph Embedding: Towards Noisy Data, Unreliable Graphs, and Noisy Labels Hanwang Zhang, Zheng-Jun Zha, Shuicheng Yan, Meng Wang, Tat-Seng Chua

ICCV 2011 Multi-Label Visual Classification with Label Exclusive Context Xiangyu Chen, Xiao-Tong Yuan, Qiang Chen, Shuicheng Yan, Tat-Seng Chua

ECCV 2010 An Eye Fixation Database for Saliency Detection in Images Subramanian Ramanathan, Harish Katti, Nicu Sebe, Mohan S. Kankanhalli, Tat-Seng Chua

CVPR 2010 Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-Seng Chua, Chong-Wah Ngo

CVPR 2009 A Revisit of Generative Model for Automatic Image Annotation Using Markov Random Fields Yu Xiang, Xiangdong Zhou, Tat-Seng Chua, Chong-Wah Ngo

ICML 2009 An Efficient Sparse Metric Learning in High-Dimensional Space via L1-Penalized Log-Determinant Regularization Guo-Jun Qi, Jinhui Tang, Zheng-Jun Zha, Tat-Seng Chua, Hong-Jiang Zhang

ICML 2009 Domain Adaptation from Multiple Sources via Auxiliary Classifiers Lixin Duan, Ivor W. Tsang, Dong Xu, Tat-Seng Chua

CVPR 2009 Hierarchical Spatio-Temporal Context Modeling for Action Recognition Ju Sun, Xiao Wu, Shuicheng Yan, Loong Fah Cheong, Tat-Seng Chua, Jintao Li

CVPR 2009 Tour the World: Building a Web-Scale Landmark Recognition Engine Yantao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven

CVPR 2008 Visual Synset: Towards a Higher-Level Visual Representation Yantao Zheng, Ming Zhao, Shi-Yong Neo, Tat-Seng Chua, Qi Tian

ICML 2004 A MFoM Learning Approach to Robust Multiclass Multi-Label Text Categorization Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua

AAAI 2002 Learning Pattern Rules for Chinese Named Entity Extraction Tat-Seng Chua, Jimin Liu