Tat-Seng Chua
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
420
Venues
30
Active years
2016–2026
Best venue rank
A*
Where they publish
- A*SIGIR48 papers
- A*ACL41 papers
- A*AAAI31 papers
- A*EMNLP27 papers
- A*WWW25 papers
- A*CVPR22 papers
- A*ICLR16 papers
- A*KDD15 papers
- A*IJCAI14 papers
- A*ICML11 papers
- BMMM7 papers
- ACIKM7 papers
- A*ECCV6 papers
- AWSDM6 papers
- A*ICCV5 papers
- ANAACL3 papers
- ARecSys2 papers
- CKSEM2 papers
- A*ICRA1 paper
- BPRICAI1 paper
- BCOLING1 paper
- AECAI1 paper
- A*SP1 paper
- BIJCNLP1 paper
- BICPR1 paper
- ABMVC1 paper
- A*ICDE1 paper
- AUAI1 paper
- BACII1 paper
- BICMI1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid. | Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Xiaoying Zhang, Chi Chen, Jun Song, Yuan Yao, Tat-Seng Chua, Maosong Sun |
| 2026 | AAAI | Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models. | Yuchen Zhou, Jiayu Tang, Shuo Yang, Xiaoyan Xiao, Yuqin Dai, Wenhao Yang, Chao Gou, Xiaobo Xia, Tat-Seng Chua |
| 2026 | MMM | Integrating Symbolic and Waveform Music Into Large Language Models. | Teng Tu, Xiaohao Liu, Yunshan Ma, Ji Qi, Tat-Seng Chua |
| 2026 | MMM | MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding and Grounding. | Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua |
| 2026 | WWW | ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. | Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua |
| 2026 | WWW | Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking. | Xinyu Lin, Pengyuan Liu, Wenjie Wang, Yicheng Hu, Chen Xu, Fuli Feng, Qifan Wang, Tat-Seng Chua |
| 2026 | SIGIR | Verifiable Reasoning for LLM-based Generative Recommendation. | Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang |
| 2026 | SIGIR | Towards Knowledgeable Deep Research: Framework and Benchmark. | Wenxuan Liu, Zixuan Li, Long Bai, Chunmao Zhang, Fenghui Zhang, Zhuo Chen, Wei Li, Yuxin Zuo, Fei Wang, Bingbing Xu, Xuhui Jiang, Jin Zhang, Xiaolong Jin, Jiafeng Guo, Tat-Seng Chua, Xueqi Cheng |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. | Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua |
| 2025 | AAAI | Aligning Large Language Models for Faithful Integrity Against Opposing Argument. | Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua |
| 2025 | ACL | FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. | Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua |
| 2025 | ACL | G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models. | Long Bai, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua |
| 2025 | ACL | How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond. | Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Huang |
| 2025 | ACL | Length Controlled Generation for Black-box LLMs. | Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Ting Liu, Bing Qin, Tat-Seng Chua |
| 2025 | ACL | Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. | Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang |
| 2025 | ACL | Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment. | Moxin Li, Yuantao Zhang, Wenjie Wang, Wentao Shi, Zhuo Liu, Fuli Feng, Tat-Seng Chua |
| 2025 | ACL | Knowledge Boundary of Large Language Models: A Survey. | Moxin Li, Yong Zhao, Wenxuan Zhang, Shuaiyi Li, Wenya Xie, See-Kiong Ng, Tat-Seng Chua, Yang Deng |
| 2025 | ACL | Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. | Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat-Seng Chua |
| 2025 | ACL | Personalized Generation In Large Model Era: A Survey. | Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He, Tat-Seng Chua |
| 2025 | ACL | Personalized Text Generation with Contrastive Activation Steering. | Jinghao Zhang, Yuting Liu, Wenjie Wang, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua |
| 2025 | ACL | Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. | Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | ACL | MPO: Multilingual Safety Alignment via Reward Gap Optimization. | Weixiang Zhao, Yulin Hu, Yang Deng, Tongtong Wu, Wenxuan Zhang, Jiahe Guo, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | CIKM | International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025). | Yi Bin, Haoxuan Li, Haokai Ma, Yang Zhang, Wenjie Wang, Yunshan Ma, Yang Yang, Tat-Seng Chua |
| 2025 | CIKM | Towards Large Generative Recommendation: A Tokenization Perspective. | Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian J. McAuley |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Universal Scene Graph Generation. | Shengqiong Wu, Hao Fei, Tat-Seng Chua |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion. | Zhenglin Zhou, Fan Ma, Hehe Fan, Tat-Seng Chua |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations. | Sunhao Dai, Zhanshuo Cao, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua |
| 2025 | EMNLP | Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation. | Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua |
| 2025 | EMNLP | AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender. | Weixiang Zhao, Jiahe Guo, Yulin Hu, Yang Deng, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. | Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua |
| 2025 | ICLR | Neural Causal Graph for Interpretable and Intervenable Classification. | Jiawei Wang, Shaofei Lu, Da Cao, Dongyu Wang, Yuquan Le, Zhe Quan, Tat-Seng Chua |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Preference Diffusion for Recommendation. | Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Language Representations Can be What Recommenders Need: Findings and Potentials. | Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua |
| 2025 | ICLR | Towards Semantic Equivalence of Tokenization in Multimodal LLM. | Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2025 | ICRA | Coarse-to-Fine Cross-Modality Generation for Enhancing Vehicle Re-Identification with High-Fidelity Synthetic Data. | Leyang Jin, Wei Ji, Tat-Seng Chua, Zhedong Zheng |
| 2025 | KDD | EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens. | Chaoqun Yang, Xinyu Lin, Wenjie Wang, Yongqi Li, Teng Sun, Xianjing Han, Tat-Seng Chua |
| 2025 | KDD | LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation. | Yingzhi He, Xiaohao Liu, An Zhang, Yunshan Ma, Tat-Seng Chua |
| 2025 | KDD | Fine-tuning Multimodal Large Language Models for Product Bundling. | Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua |
| 2025 | NAACL | Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. | Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua |
| 2025 | NAACL | A Federated Framework for LLM-based Recommendation. | Jujia Zhao, Wenjie Wang, Chen Xu, See-Kiong Ng, Tat-Seng Chua |
| 2025 | PRICAI | HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models. | Zhen Cai, Yanhua Yu, Xidian Wang, Kangkang Lu, Tu Ao, Mingliang Yan, Liang Pang, Pinghui Wang, Tat-Seng Chua |
| 2025 | RecSys | Heterogeneous User Modeling for LLM-based Recommendation. | Honghui Bao, Wenjie Wang, Xinyu Lin, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua |
| 2025 | WWW | Generative Recommendation: Towards Personalized Multimodal Content Generation. | Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua |
| 2025 | WWW | Large Language Models Empowered Personalized Web Agents. | Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua |
| 2025 | WWW | Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. | Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat-Seng Chua, Shaoping Ma |
| 2025 | WWW | Generative Recommendation Models: Progress and Directions. | Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua, Julian J. McAuley |
| 2025 | WWW | Self-Calibrated Listwise Reranking with Large Language Models. | Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua |
| 2025 | SIGIR | Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. | Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua |
| 2025 | SIGIR | Order-agnostic Identifier for Large Language Model-based Generative Recommendation. | Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua |
| 2025 | SIGIR | Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. | Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke |
| 2025 | SIGIR | Exploring Training and Inference Scaling Laws in Generative Retrieval. | Hongru Cai, Yongqi Li, Ruifeng Yuan, Wenjie Wang, Zhen Zhang, Wenjie Li, Tat-Seng Chua |
| 2025 | SIGIR | NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. | Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua |
| 2025 | SIGIR | LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking. | Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua |
| 2025 | SIGIR | FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. | Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua |
| 2024 | AAAI | Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. | Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | ACL | XNLP: An Interactive Demonstration System for Universal Structured NLP. | Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua |
| 2024 | ACL | On the Multi-turn Instruction Following for Conversational Web Agents. | Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua |
| 2024 | ACL | STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. | Yue Chen, Chen Huang, Yang Deng, Wenqiang Lei, Dingnan Jin, Jia Liu, Tat-Seng Chua |
| 2024 | ACL | ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. | Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua |
| 2024 | ACL | ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. | Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua |
| 2024 | ACL | Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. | Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua |
| 2024 | ACL | Distillation Enhanced Generative Retrieval. | Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua |
| 2024 | ACL | Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. | Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua |
| 2024 | ACL | Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. | Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua |
| 2024 | ACL | CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. | Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua |
| 2024 | CIKM | Learnable Item Tokenization for Generative Recommendation. | Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua |
| 2024 | COLING | Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. | Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua |
| 2024 | CVPR | Dysen-VDM: Empowering Dynamics-Aware Text-to-Video Diffusion with LLMs. | Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua |
| 2024 | CVPR | LASO: Language-Guided Affordance Segmentation on 3D Object. | Yicong Li, Na Zhao, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Discriminative Probing and Tuning for Text-to-Image Generation. | Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua |
| 2024 | CVPR | Can I Trust Your Answer? Visually Grounded Video Question Answering. | Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua |
| 2024 | ECAI | Hop-based Heterogeneous Graph Transformer. | Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua |
| 2024 | ECCV | Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching. | Meng Chu, Zhedong Zheng, Wei Ji, Tingyu Wang, Tat-Seng Chua |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Disentangling Masked Autoencoders for Unsupervised Domain Generalization. | An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua |
| 2024 | EMNLP | A Study of Implicit Ranking Unfairness in Large Language Models. | Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua |
| 2024 | EMNLP | Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations. | Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua |
| 2024 | EMNLP | Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. | Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua |
| 2024 | EMNLP | Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations. | Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, Tat-Seng Chua |
| 2024 | EMNLP | Ask-before-Plan: Proactive Language Agents for Real-World Planning. | Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua |
| 2024 | EMNLP | Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation. | Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua |
| 2024 | ICLR | Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. | Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization. | Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | NExT-GPT: Any-to-Any Multimodal LLM. | Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua |
| 2024 | ICML | NExT-Chat: An LMM for Chat, Detection and Segmentation. | Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua |
| 2024 | IJCAI | A Survey on Neural Question Generation: Methods, Applications, and Prospects. | Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua |
| 2024 | KDD | A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. | Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li |
| 2024 | KDD | Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. | Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua |
| 2024 | KDD | LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. | Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua |
| 2024 | KSEM | Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning. | Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua |
| 2024 | KSEM | EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. | Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua |
| 2024 | RecSys | Information-Controllable Graph Contrastive Learning for Recommendation. | Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua |
| 2024 | WWW | Large Language Model Powered Agents in the Web. | Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | WWW | FashionReGen: LLM-Empowered Fashion Report Generation. | Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li |
| 2024 | WWW | Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. | Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua |
| 2024 | WWW | Uplift Modeling for Target User Attacks on Recommender Systems. | Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua |
| 2024 | WWW | Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2024 | SIGIR | Large Language Model Powered Agents for Information Retrieval. | An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | SIGIR | On Generative Agents in Recommendation. | An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua |
| 2024 | SIGIR | A Taxation Perspective for Fair Re-ranking. | Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua |
| 2024 | SIGIR | Towards Human-centered Proactive Conversational Agents. | Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua |
| 2024 | SIGIR | Data-efficient Fine-tuning for LLM-based Recommendation. | Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua |
| 2024 | SIGIR | I3: Intent-Introspective Retrieval Conditioned on Instructions. | Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang |
| 2024 | SIGIR | Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. | Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua |
| 2024 | SIGIR | Denoising Diffusion Recommender Model. | Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua |
| 2024 | WSDM | Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. | Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | ACL | Reasoning Implicit Sentiment with Chain-of-Thought Prompting. | Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua |
| 2023 | ACL | Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination. | Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua |
| 2023 | ACL | Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction. | Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua |
| 2023 | ACL | Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors. | Peng Qi, Yuyang Zhao, Yufeng Shen, Wei Ji, Juan Cao, Tat-Seng Chua |
| 2023 | ACL | DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis. | Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji |
| 2023 | ACL | Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. | Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua |
| 2023 | ACL | Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. | Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua |
| 2023 | ACL | Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment. | Shengqiong Wu, Hao Fei, Wei Ji, Tat-Seng Chua |
| 2023 | ACL | Improving Named Entity Recognition via Bridge-based Domain Adaptation. | Jingyun Xu, Changmeng Zheng, Yi Cai, Tat-Seng Chua |
| 2023 | ACL | Generating Visual Spatial Description via Holistic 3D Scene Understanding. | Yu Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat-Seng Chua |
| 2023 | CIKM | Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. | Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua |
| 2023 | CIKM | Popularity-aware Distributionally Robust Optimization for Recommendation System. | Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua |
| 2023 | CVPR | 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 |
| 2023 | EMNLP | Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. | Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong |
| 2023 | EMNLP | Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. | Yang Deng, Lizi Liao, Liang Chen, Hongru Wang, Wenqiang Lei, Tat-Seng Chua |
| 2023 | EMNLP | MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. | Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2023 | EMNLP | MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. | Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua |
| 2023 | EMNLP | Robust Prompt Optimization for Large Language Models Against Distribution Shifts. | Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua |
| 2023 | EMNLP | A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. | Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua |
| 2023 | EMNLP | LLMDet: A Third Party Large Language Models Generated Text Detection Tool. | Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2023 | ICCV | Discovering Spatio-Temporal Rationales for Video Question Answering. | Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua |
| 2023 | ICCV | 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 |
| 2023 | ICLR | Boosting Causal Discovery via Adaptive Sample Reweighting. | An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua |
| 2023 | IJCAI | A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. | Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua |
| 2023 | KDD | FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. | Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He |
| 2023 | KDD | Discovering Dynamic Causal Space for DAG Structure Learning. | Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua |
| 2023 | KDD | Context-aware Event Forecasting via Graph Disentanglement. | Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua |
| 2023 | WWW | A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking. | Yuting Yang, Wenqiang Lei, Pei Huang, Juan Cao, Jintao Li, Tat-Seng Chua |
| 2023 | WWW | Invariant Collaborative Filtering to Popularity Distribution Shift. | An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua |
| 2023 | WWW | SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs. | Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat-Seng Chua |
| 2023 | SIGIR | Dual Semantic Knowledge Composed Multimodal Dialog Systems. | Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua |
| 2023 | SIGIR | Learnable Pillar-based Re-ranking for Image-Text Retrieval. | Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua |
| 2023 | SIGIR | Diffusion Recommender Model. | Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua |
| 2023 | SIGIR | LightGT: A Light Graph Transformer for Multimedia Recommendation. | Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua |
| 2023 | SIGIR | Strategy-aware Bundle Recommender System. | Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua |
| 2023 | WSDM | Cooperative Explanations of Graph Neural Networks. | Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua |
| 2022 | AAAI | Rethinking the Two-Stage Framework for Grounded Situation Recognition. | Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua |
| 2022 | AAAI | Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. | Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua |
| 2022 | ACL | Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. | Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua |
| 2022 | CIKM | KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. | Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua |
| 2022 | CVPR | Invariant Grounding for Video Question Answering. | Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua |
| 2022 | ECCV | Video Graph Transformer for Video Question Answering. | Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan |
| 2022 | ECCV | Fine-Grained Scene Graph Generation with Data Transfer. | Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua |
| 2022 | EMNLP | PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance. | Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua |
| 2022 | EMNLP | Semi-supervised New Slot Discovery with Incremental Clustering. | Yuxia Wu, Lizi Liao, Xueming Qian, Tat-Seng Chua |
| 2022 | EMNLP | ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction. | Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam |
| 2022 | EMNLP | PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models. | Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun |
| 2022 | EMNLP | Video Question Answering: Datasets, Algorithms and Challenges. | Yaoyao Zhong, Wei Ji, Junbin Xiao, Yicong Li, Weihong Deng, Tat-Seng Chua |
| 2022 | ICLR | Discovering Invariant Rationales for Graph Neural Networks. | Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua |
| 2022 | ICML | Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. | Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua |
| 2022 | KDD | CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. | Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua |
| 2022 | KDD | Intelligent Request Strategy Design in Recommender System. | Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu |
| 2022 | KDD | Causal Attention for Interpretable and Generalizable Graph Classification. | Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua |
| 2022 | WWW | Causal Representation Learning for Out-of-Distribution Recommendation. | Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua |
| 2022 | WWW | Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. | Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu |
| 2022 | SIGIR | Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. | Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua |
| 2022 | SIGIR | User-controllable Recommendation Against Filter Bubbles. | Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua |
| 2022 | SIGIR | Structured and Natural Responses Co-generation for Conversational Search. | Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua |
| 2022 | SP | SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records. | Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Conceptualized and Contextualized Gaussian Embedding. | Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua |
| 2021 | ACL | Empowering Language Understanding with Counterfactual Reasoning. | Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua |
| 2021 | ACL | How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. | Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua |
| 2021 | ACL | TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. | Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua |
| 2021 | CVPR | NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. | Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua |
| 2021 | CVPR | Few-Shot 3D Point Cloud Semantic Segmentation. | Na Zhao, Tat-Seng Chua, Gim Hee Lee |
| 2021 | KDD | Deconfounded Recommendation for Alleviating Bias Amplification. | Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua |
| 2021 | NAACL | Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. | Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua |
| 2021 | WWW | Multi-domain Dialogue State Tracking with Recursive Inference. | Lizi Liao, Tongyao Zhu, Le Hong Long, Tat-Seng Chua |
| 2021 | WWW | Learning Intents behind Interactions with Knowledge Graph for Recommendation. | Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua |
| 2021 | SIGIR | Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. | Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua |
| 2021 | SIGIR | Hybrid Learning to Rank for Financial Event Ranking. | Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua |
| 2021 | SIGIR | MMConv: An Environment for Multimodal Conversational Search across Multiple Domains. | Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua |
| 2021 | SIGIR | Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. | Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua |
| 2021 | SIGIR | Deconfounded Video Moment Retrieval with Causal Intervention. | Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua |
| 2021 | SIGIR | CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. | Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu |
| 2021 | WSDM | Denoising Implicit Feedback for Recommendation. | Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua |
| 2020 | AAAI | Solving Sequential Text Classification as Board-Game Playing. | Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua |
| 2020 | AAAI | Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. | Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua |
| 2020 | AAAI | Multi-Source Domain Adaptation for Visual Sentiment Classification. | Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Image Enhanced Event Detection in News Articles. | Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua |
| 2020 | AAAI | 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 |
| 2020 | AAAI | 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 |
| 2020 | ACL | Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. | Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua |
| 2020 | ACL | Semantic Graphs for Generating Deep Questions. | Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan |
| 2020 | CVPR | Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. | Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang |
| 2020 | CVPR | SESS: Self-Ensembling Semi-Supervised 3D Object Detection. | Na Zhao, Tat-Seng Chua, Gim Hee Lee |
| 2020 | ECCV | Visual Relation Grounding in Videos. | Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua |
| 2020 | EMNLP | Re-examining the Role of Schema Linking in Text-to-SQL. | Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua |
| 2020 | EMNLP | Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. | Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua |
| 2020 | IJCNLP | Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. | Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang |
| 2020 | ICPR | PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. | Na Zhao, Tat-Seng Chua, Gim Hee Lee |
| 2020 | KDD | Interactive Path Reasoning on Graph for Conversational Recommendation. | Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua |
| 2020 | MMM | Crowd Knowledge Enhanced Multimodal Conversational Assistant in Travel Domain. | Lizi Liao, Lyndon Kennedy, Lynn Wilcox, Tat-Seng Chua |
| 2020 | WWW | Reinforced Negative Sampling over Knowledge Graph for Recommendation. | Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua |
| 2020 | SIGIR | Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. | Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua |
| 2020 | SIGIR | FinIR 2020: The First Workshop on Information Retrieval in Finance. | Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua |
| 2020 | SIGIR | Conversational Recommendation: Formulation, Methods, and Evaluation. | Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua |
| 2020 | SIGIR | Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. | Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua |
| 2020 | SIGIR | Disentangled Graph Collaborative Filtering. | Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua |
| 2020 | SIGIR | Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. | Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua |
| 2020 | WSDM | Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. | Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua |
| 2020 | WSDM | Learning and Reasoning on Graph for Recommendation. | Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2019 | AAAI | A Whole New Ball Game: Harvesting Game Data for Player Profiling. | Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua |
| 2019 | AAAI | Explainable Reasoning over Knowledge Graphs for Recommendation. | Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua |
| 2019 | AAAI | TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. | Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua |
| 2019 | ACL | Multi-Channel Graph Neural Network for Entity Alignment. | Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua |
| 2019 | ACL | Graph Neural Networks with Generated Parameters for Relation Extraction. | Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun |
| 2019 | BMVC | Generating Expensive Relationship Features from Cheap Objects. | Xiaogang Wang, Qianru Sun, Tat-Seng Chua, Marcelo H. Ang Jr. |
| 2019 | CIKM | Learning and Reasoning on Graph for Recommendation. | Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2019 | CVPR | Meta-Transfer Learning for Few-Shot Learning. | Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele |
| 2019 | EMNLP | Low-Resource Name Tagging Learned with Weakly Labeled Data. | Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji |
| 2019 | EMNLP | Revisit Automatic Error Detection for Wrong and Missing Translation - A Supervised Approach. | Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang, Tat-Seng Chua |
| 2019 | EMNLP | Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. | Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua |
| 2019 | ICDE | Neural Multi-task Recommendation from Multi-behavior Data. | Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin |
| 2019 | IJCAI | Enhancing Stock Movement Prediction with Adversarial Training. | Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua |
| 2019 | KDD | KGAT: Knowledge Graph Attention Network for Recommendation. | Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua |
| 2019 | WWW | Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. | Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua |
| 2019 | WWW | Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems. | Zheng Zhang, Lizi Liao, Minlie Huang, Xiaoyan Zhu, Tat-Seng Chua |
| 2019 | SIGIR | Neural Graph Collaborative Filtering. | Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua |
| 2019 | SIGIR | Interpretable Fashion Matching with Rich Attributes. | Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua |
| 2018 | EMNLP | Temporally Grounding Natural Sentence in Video. | Jingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie, Tat-Seng Chua |
| 2018 | IJCAI | Outer Product-based Neural Collaborative Filtering. | Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua |
| 2018 | IJCAI | Improving Implicit Recommender Systems with View Data. | Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu |
| 2018 | IJCAI | 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 |
| 2018 | IJCAI | Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. | Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua |
| 2018 | IJCAI | Affective Image Content Analysis: A Comprehensive Survey. | Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Bjrn W. Schuller, Kurt Keutzer |
| 2018 | MMM | Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. | Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua |
| 2018 | MMM | Food Photo Recognition for Dietary Tracking: System and Experiment. | Zhaoyan Ming, Jingjing Chen, Yu Cao, Ciarn Forde, Chong-Wah Ngo, Tat-Seng Chua |
| 2018 | MMM | Rethinking Summarization and Storytelling for Modern Social Multimedia. | Stevan Rudinac, Tat-Seng Chua, Nicols E. Daz Ferreyra, Gerald Friedland, Tatjana Gornostaja, Benoit Huet, Rianne Kaptein, Krister Lindn, Marie-Francine Moens, Jaakko Peltonen, Miriam Redi, Markus Schedl, David A. Shamma, Alan F. Smeaton, Lexing Xie |
| 2018 | WWW | Learning on Partial-Order Hypergraphs. | Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua |
| 2018 | WWW | TEM: Tree-enhanced Embedding Model for Explainable Recommendation. | Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua |
| 2018 | SIGIR | Adversarial Personalized Ranking for Recommendation. | Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua |
| 2018 | SIGIR | Attentive Moment Retrieval in Videos. | Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua |
| 2018 | UAI | f | Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose |
| 2017 | AAAI | Towards User Personality Profiling from Multiple Social Networks. | Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua |
| 2017 | AAAI | TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning. | Aleksandr Farseev, Tat-Seng Chua |
| 2017 | ACII | Discovering gender differences in facial emotion recognition via implicit behavioral cues. | Maneesh Bilalpur, Seyed Mostafa Kia, Tat-Seng Chua, Ramanathan Subramanian |
| 2017 | CVPR | 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 |
| 2017 | CVPR | Visual Translation Embedding Network for Visual Relation Detection. | Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang, Tat-Seng Chua |
| 2017 | ICMI | Gender and emotion recognition with implicit user signals. | Maneesh Bilalpur, Seyed Mostafa Kia, Manisha Chawla, Tat-Seng Chua, Ramanathan Subramanian |
| 2017 | IJCAI | Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. | Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua |
| 2017 | IJCAI | 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 |
| 2017 | IJCAI | 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 |
| 2017 | WWW | Neural Collaborative Filtering. | Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua |
| 2017 | SIGIR | Neural Factorization Machines for Sparse Predictive Analytics. | Xiangnan He, Tat-Seng Chua |
| 2017 | SIGIR | Embedding Factorization Models for Jointly Recommending Items and User Generated Lists. | Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Shunzhi Zhu, Tat-Seng Chua |
| 2017 | SIGIR | Exploring User-Specific Information in Music Retrieval. | Zhiyong Cheng, Jialie Shen, Liqiang Nie, Tat-Seng Chua, Mohan S. Kankanhalli |
| 2017 | SIGIR | Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention. | Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, Tat-Seng Chua |
| 2017 | SIGIR | Cross-Domain Recommendation via Clustering on Multi-Layer Graphs. | Aleksandr Farseev, Ivan Samborskii, Andrey Filchenkov, Tat-Seng Chua |
| 2017 | SIGIR | Computational Social Indicators: A Case Study of Chinese University Ranking. | Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua |
| 2017 | SIGIR | Item Silk Road: Recommending Items from Information Domains to Social Users. | Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua |
| 2017 | WSDM | Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling. | Mohammad Akbari, Tat-Seng Chua |
| 2016 | AAAI | From Tweets to Wellness: Wellness Event Detection from Twitter Streams. | Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua |
| 2016 | AAAI | Discrete Image Hashing Using Large Weakly Annotated Photo Collections. | Hanwang Zhang, Na Zhao, Xindi Shang, Huan-Bo Luan, Tat-Seng Chua |
| 2016 | ACL | Generative Topic Embedding: a Continuous Representation of Documents. | Shaohua Li, Tat-Seng Chua, Jun Zhu, Chunyan Miao |
| 2016 | CVPR | Online Collaborative Learning for Open-Vocabulary Visual Classifiers. | Hanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huan-Bo Luan, Tat-Seng Chua |
| 2016 | IJCAI | 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 |
| 2016 | IJCAI | What Does Social Media Say about Your Stress?. | Huijie Lin, Jia Jia, Liqiang Nie, Guangyao Shen, Tat-Seng Chua |
| 2016 | MMM | Mental Visual Browsing. | Jun He, Xindi Shang, Hanwang Zhang, Tat-Seng Chua |