Tat-Seng Chua

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 648

Top Venues

University of Leeds, UK (PHD)

Education History

University of Leeds, UK

PHD

Publications

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR (2024)
Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. CoRR (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. AAAI (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. ICLR (2024)
Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
Uplift Modeling for Target User Attacks on Recommender Systems. CoRR (2024)
Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li
FashionReGen: LLM-Empowered Fashion Report Generation. WWW (Companion Volume) (2024)
Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. KDD (2024)
Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang
Auto-Encoding Morph-Tokens for Multimodal LLM. CoRR (2024)
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)
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
A Taxation Perspective for Fair Re-ranking. SIGIR (2024)
Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. 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)
Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. SIGIR (2024)
Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua
On Softmax Direct Preference Optimization for Recommendation. CoRR (2024)
Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. CoRR (2024)
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
A Taxation Perspective for Fair Re-ranking. CoRR (2024)
Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. AAAI (2024)
Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Learnable Tokenizer for LLM-based Generative Recommendation. 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)
Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning. CoRR (2024)
Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. CoRR (2024)
Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao
Instructing Prompt-to-Prompt Generation for Zero-Shot Learning. CoRR (2024)
Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization. ICLR (2024)
Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. ICLR (2024)
Lidong Zeng, Zhedong Zheng, Yinwei Wei, Tat-Seng Chua
Instilling Multi-round Thinking to Text-guided Image Generation. CoRR (2024)
Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. LREC/COLING (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)
Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. ACL (1) (2024)
Zixuan Li, Lizi Liao, Yunshan Ma, Tat-Seng Chua
Contrastive Pre-training for Deep Session Data Understanding. CoRR (2024)
Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. 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. CoRR (2024)
Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua
Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning. KSEM (5) (2024)
Tianyu Yu, Haoye Zhang, Yuan Yao, Yunkai Dang, Da Chen, Xiaoman Lu, Ganqu Cui, Taiwen He, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun
RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness. CoRR (2024)
Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua
Towards Human-centered Proactive Conversational Agents. CoRR (2024)
Zixuan Li, Lizi Liao, Tat-Seng Chua
Learning to Ask Critical Questions for Assisting Product Search. CoRR (2024)
An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua
Large Language Model Powered Agents for Information Retrieval. SIGIR (2024)
Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua
Large Language Model Powered Agents in the Web. WWW (Companion Volume) (2024)
Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. WSDM (2024)
Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
Uplift Modeling for Target User Attacks on Recommender Systems. WWW (2024)
Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. ACL (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. SIGIR (2024)
Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua
Discriminative Probing and Tuning for Text-to-Image Generation. CoRR (2024)
Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua
Unified Text-to-Image Generation and Retrieval. CoRR (2024)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW (2024)
Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. CoRR (2024)
Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation. 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)
Jianwu Fang, Lei-Lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua
Abductive Ego-View Accident Video Understanding for Safe Driving Perception. CoRR (2024)
Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) (2024)
Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua
Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Yue Chen, Chen Huang, Yang Deng, Wenqiang Lei, Dingnan Jin, Jia Liu, Tat-Seng Chua
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. CoRR (2024)
Tingyu Wang, Zhedong Zheng, Yaoqi Sun, Chenggang Yan, Yi Yang, Tat-Seng Chua
Multiple-environment Self-adaptive Network for aerial-view geo-localization. Pattern Recognit. 152 (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)
Jianwu Fang, Fan Wang, Jianru Xue, Tat-Seng Chua
Behavioral Intention Prediction in Driving Scenes: A Survey. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Jujia Zhao, Wang Wenjie, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua
Denoising Diffusion Recommender Model. SIGIR (2024)
Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. KSEM (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)
Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua
Ask-before-Plan: Proactive Language Agents for Real-World Planning. CoRR (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. ACL (1) (2024)
Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD (2024)
Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua
Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions. CoRR (2024)
Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun
CPT: Colorful Prompt Tuning for pre-trained vision-language models. AI Open 5 (2024)
Jingyun Xu, Jiayuan Xie, Yi Cai, Zehang Lin, Ho-fung Leung, Qing Li, Tat-Seng Chua
Context-Aware Dynamic Word Embeddings for Aspect Term Extraction. IEEE Trans. Affect. Comput. 15 (1) (2024)
Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua
Towards Human-centered Proactive Conversational Agents. SIGIR (2024)
Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua
LLM-based Federated Recommendation. CoRR (2024)
Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. CoRR (2024)
Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. ACL (1) (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)
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. AAAI (2024)
Jun Li, Yi Bin, Yunshan Ma, Yang Yang, Zi Huang, Tat-Seng Chua
Filter-based Stance Network for Rumor Verification. ACM Trans. Inf. Syst. 42 (4) (2024)
Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. 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)
Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. ACM Trans. Inf. Syst. 42 (4) (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)
Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua
On the Multi-turn Instruction Following for Conversational Web Agents. 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)
Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua
Language Models Encode Collaborative Signals in Recommendation. 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)
Yue Chen, Chen Huang, Yang Deng, Wenqiang Lei, Dingnan Jin, Jia Liu, Tat-Seng Chua
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. ACL (Findings) (2024)
Changmeng Zheng, Dayong Liang, Wengyu Zhang, Xiao-Yong Wei, Tat-Seng Chua, Qing Li
A Picture Is Worth a Graph: Blueprint Debate on Graph for Multimodal Reasoning. CoRR (2024)
Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua
Distillation Enhanced Generative Retrieval. ACL (Findings) (2024)
Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan
Towards Semantic Equivalence of Tokenization in Multimodal LLM. CoRR (2024)
Ang Ma, Yanhua Yu, Chuan Shi, Zirui Guo, Tat-Seng Chua
Cross-view hypergraph contrastive learning for attribute-aware recommendation. Inf. Process. Manag. 61 (4) (2024)
Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua
Harnessing Large Language Models for Multimodal Product Bundling. CoRR (2024)
Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang
I3: Intent-Introspective Retrieval Conditioned on Instructions. SIGIR (2024)
Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua
Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On. ICMR (2024)
Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan
Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment. CoRR (2024)
An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. CoRR (2024)
Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang
GraphEdit: Large Language Models for Graph Structure Learning. CoRR (2024)
Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua
Distillation Enhanced Generative Retrieval. CoRR (2024)
Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. CoRR (2024)
Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. CoRR (2024)
Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. 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)
Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua
On the Multi-turn Instruction Following for Conversational Web Agents. ACL (1) (2024)
Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. CoRR (2024)
Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Tat-Seng Chua
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching. CoRR (2024)
An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua
Robust Collaborative Filtering to Popularity Distribution Shift. ACM Trans. Inf. Syst. 42 (3) (2024)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tat-Seng Chua