Chat More: Deepening and Widening the Chatting Topic via A Deep Model. - Wenjie Wang 007; Minlie Huang; Xin-Shun Xu; Fumin Shen; Liqiang Nie (SIGIR, 2018)

Market2Dish: A Health-aware Food Recommendation System. - Hao Jiang; Wenjie Wang 007; Meng Liu 006; Liqiang Nie; Ling-Yu Duan; Changsheng Xu (ACM Multimedia, 2019)

Multimodal Dialog System: Generating Responses via Adaptive Decoders. - Liqiang Nie; Wenjie Wang 007; Richang Hong; Meng Wang 001; Qi Tian 001 (ACM Multimedia, 2019)

User Attention-guided Multimodal Dialog Systems. - Chen Cui; Wenjie Wang 007; Xuemeng Song; Minlie Huang; Xin-Shun Xu; Liqiang Nie (SIGIR, 2019)

What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation. - Hao Jiang; Wenjie Wang 007; Yinwei Wei; Zan Gao; Yinglong Wang 001; Liqiang Nie (ACM Multimedia, 2020)

"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Hanwang Zhang; Tat-Seng Chua (CoRR, 2020)

Pre-training and evaluation of numeracy-oriented language model. - Fuli Feng; Xilin Rui; Wenjie Wang 007; Yixin Cao 002; Tat-Seng Chua (ICAIF, 2021)

Deconfounded Recommendation for Alleviating Bias Amplification. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Xiang Wang 010; Tat-Seng Chua (KDD, 2021)

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Hanwang Zhang; Tat-Seng Chua (SIGIR, 2021)

Denoising Implicit Feedback for Recommendation. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Liqiang Nie; Tat-Seng Chua (WSDM, 2021)

Learning Robust Recommender from Noisy Implicit Feedback. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Liqiang Nie; Tat-Seng Chua (CoRR, 2021)

Conversational Image Search. - Liqiang Nie; Fangkai Jiao; Wenjie Wang 007; Yinglong Wang 001; Qi Tian 001 (IEEE Trans. Image Process., 2021)

Market2Dish: Health-aware Food Recommendation. - Wenjie Wang 007; Ling-Yu Duan; Hao Jiang; Peiguang Jing; Xuemeng Song; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Dynamic Hypergraph Convolutional Network. - Nan Yin; Fuli Feng; Zhigang Luo; Xiang Zhang 008; Wenjie Wang 007; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001 (ICDE, 2022)

Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. - Teng Sun; Wenjie Wang 007; Liqiang Jing; Yiran Cui; Xuemeng Song; Liqiang Nie (ACM Multimedia, 2022)

Interpolative Distillation for Unifying Biased and Debiased Recommendation. - Sihao Ding 003; Fuli Feng; Xiangnan He 001; Jinqiu Jin; Wenjie Wang 007; Yong Liao; Yongdong Zhang 001 (SIGIR, 2022)

User-controllable Recommendation Against Filter Bubbles. - Wenjie Wang 007; Fuli Feng; Liqiang Nie; Tat-Seng Chua (SIGIR, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Causal Representation Learning for Out-of-Distribution Recommendation. - Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Xiangnan He 001; Min Lin; Tat-Seng Chua (WWW, 2022)

Causal Intervention for Fairness in Multi-behavior Recommendation. - Xi Wang; Wenjie Wang 007; Fuli Feng; Wenge Rong; Chuantao Yin (CoRR, 2022)

Counterfactual Active Learning for Out-of-Distribution Generalization. - Xun Deng; Wenjie Wang 007; Fuli Feng; Hanwang Zhang; Xiangnan He 001; Yong Liao (ACL (1), 2023)

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. - Moxin Li; Wenjie Wang 007; Fuli Feng; Hanwang Zhang; Qifan Wang 001; Tat-Seng Chua (ACL (Findings), 2023)

The 1st Workshop on Recommendation with Generative Models. - Wenjie Wang 007; Yong Liu 020; Yang Zhang 072; Weiwen Liu; Fuli Feng; Xiangnan He 001; Aixin Sun (CIKM, 2023)

Popularity-aware Distributionally Robust Optimization for Recommendation System. - Jujia Zhao; Wenjie Wang 007; Xinyu Lin 001; Leigang Qu; Jizhi Zhang; Tat-Seng Chua (CIKM, 2023)

Attack Prompt Generation for Red Teaming and Defending Large Language Models. - Boyi Deng; Wenjie Wang 007; Fuli Feng; Yang Deng 002; Qifan Wang 001; Xiangnan He 001 (EMNLP (Findings), 2023)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts. - Moxin Li; Wenjie Wang 007; Fuli Feng; Yixin Cao 002; Jizhi Zhang; Tat-Seng Chua (EMNLP, 2023)

General Debiasing for Multimodal Sentiment Analysis. - Teng Sun; Juntong Ni; Wenjie Wang 007; Liqiang Jing; Yinwei Wei; Liqiang Nie (ACM Multimedia, 2023)

Equivariant Learning for Out-of-Distribution Cold-start Recommendation. - Wenjie Wang 007; Xinyu Lin 001; Liuhui Wang; Fuli Feng; Yinwei Wei; Tat-Seng Chua (ACM Multimedia, 2023)

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

RecAD: Towards A Unified Library for Recommender Attack and Defense. - Changsheng Wang; Jianbai Ye; Wenjie Wang 007; Chongming Gao; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. - Jizhi Zhang; Keqin Bao; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

Learnable Pillar-based Re-ranking for Image-Text Retrieval. - Leigang Qu; Meng Liu 006; Wenjie Wang 007; Zhedong Zheng; Liqiang Nie; Tat-Seng Chua (SIGIR, 2023)

Diffusion Recommender Model. - Wenjie Wang 007; Yiyan Xu; Fuli Feng; Xinyu Lin 001; Xiangnan He 001; Tat-Seng Chua (SIGIR, 2023)

Causal Recommendation: Progresses and Future Directions. - Wenjie Wang 007; Yang Zhang 072; Haoxuan Li 001; Peng Wu 012; Fuli Feng; Xiangnan He 001 (SIGIR, 2023)

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. - Yang Zhang 072; Tianhao Shi; Fuli Feng; Wenjie Wang 007; Dingxian Wang; Xiangnan He 001; Yongdong Zhang 001 (SIGIR, 2023)

Generative Recommendation: Towards Next-generation Recommender Paradigm. - Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (CoRR, 2023)

Robust Instruction Optimization for Large Language Models with Distribution Shifts. - Moxin Li; Wenjie Wang 007; Fuli Feng; Jizhi Zhang; Tat-Seng Chua (CoRR, 2023)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. - Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Yang Zhang 072; Zhengyi Yang 007; Yancheng Luo; Fuli Feng; Xiangnan He 001; Qi Tian 001 (CoRR, 2023)

A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CoRR, 2023)

Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. - Chen Xu 010; Wenjie Wang 007; Yuxin Li; Liang Pang; Jun Xu 001; Tat-Seng Chua (CoRR, 2023)

Mitigating Spurious Correlations for Self-supervised Recommendation. - Xinyu Lin 001; Yiyan Xu; Wenjie Wang 007; Yang Zhang 072; Fuli Feng (Mach. Intell. Res., 2023)

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Jujia Zhao; Yongqi Li 001; Fuli Feng; Tat-Seng Chua (AAAI, 2024)

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. - Xiaoyuan Li; Wenjie Wang 007; Moxin Li; Junrong Guo; Yang Zhang 072; Fuli Feng (ACL (Findings), 2024)

Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. - Yongqi Li 001; Wenjie Wang 007; Leigang Qu; Liqiang Nie; Wenjie Li 002; Tat-Seng Chua (ACL (1), 2024)

Distillation Enhanced Generative Retrieval. - Yongqi Li 001; Zhen Zhang; Wenjie Wang 007; Liqiang Nie; Wenjie Li 002; Tat-Seng Chua (ACL (Findings), 2024)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. - Yang Zhang 072; Keqin Bao; Ming Yan; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (ACL (1), 2024)

Learnable Item Tokenization for Generative Recommendation. - Wenjie Wang 007; Honghui Bao; Xinyu Lin 001; Jizhi Zhang; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CIKM, 2024)

Discriminative Probing and Tuning for Text-to-Image Generation. - Leigang Qu; Wenjie Wang 007; Yongqi Li 001; Hanwang Zhang; Liqiang Nie; Tat-Seng Chua (CVPR, 2024)

A Study of Implicit Ranking Unfairness in Large Language Models. - Chen Xu 010; Wenjie Wang 007; Yuxin Li; Liang Pang; Jun Xu 001; Tat-Seng Chua (EMNLP (Findings), 2024)

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. - Moxin Li; Wenjie Wang 007; Fuli Feng; Fengbin Zhu; Qifan Wang 001; Tat-Seng Chua (EMNLP (Findings), 2024)

Debiased Recommendation with Noisy Feedback. - Haoxuan Li 001; Chunyuan Zheng 001; Wenjie Wang 007; Hao Wang 049; Fuli Feng; Xiao-Hua Zhou (KDD, 2024)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (KDD, 2024)

A Taxation Perspective for Fair Re-ranking. - Chen Xu 010; Xiaopeng Ye; Wenjie Wang 007; Liang Pang; Jun Xu 001; Tat-Seng Chua (SIGIR, 2024)

Large Language Models for Recommendation: Past, Present, and Future. - Keqin Bao; Jizhi Zhang; Xinyu Lin 001; Yang Zhang 072; Wenjie Wang 007; Fuli Feng (SIGIR, 2024)

Treatment Effect Estimation for User Interest Exploration on Recommender Systems. - Jiaju Chen; Wenjie Wang 007; Chongming Gao; Peng Wu 012; Jianxiong Wei; Qingsong Hua (SIGIR, 2024)

Data-efficient Fine-tuning for LLM-based Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Shuo Yang 006; Fuli Feng; Yinwei Wei; Tat-Seng Chua (SIGIR, 2024)

I3: Intent-Introspective Retrieval Conditioned on Instructions. - Kaihang Pan; Juncheng Li 006; Wenjie Wang 007; Hao Fei 001; Hongye Song; Wei Ji 008; Jun Lin; Xiaozhong Liu; Tat-Seng Chua; Siliang Tang (SIGIR, 2024)

Diffusion Models for Generative Outfit Recommendation. - Yiyan Xu; Wenjie Wang 007; Fuli Feng; Yunshan Ma; Jizhi Zhang; Xiangnan He 001 (SIGIR, 2024)

Denoising Diffusion Recommender Model. - Jujia Zhao; Wenjie Wang 007; Yiyan Xu; Teng Sun; Fuli Feng; Tat-Seng Chua (SIGIR, 2024)

The 1st Workshop on Decentralised Search and Recommendation. - Mohamed Ragab 001; Yury Savateev; Wenjie Wang 007; Reza Moosaei; Thanassis Tiropanis; Alexandra Poulovassilis; Adriane Chapman; Helen Oliver 001; George Roussos (WWW (Companion Volume), 2024)

Proactive Recommendation with Iterative Preference Guidance. - Shuxian Bi; Wenjie Wang 007; Hang Pan 006; Fuli Feng; Xiangnan He 001 (WWW (Companion Volume), 2024)

Item-side Fairness of Large Language Model-based Recommendation System. - Meng Jiang; Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Zhengyi Yang 007; Fuli Feng; Xiangnan He 001 (WWW, 2024)

Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. - Jinqiu Jin; Sihao Ding 003; Wenjie Wang 007; Fuli Feng (WWW (Companion Volume), 2024)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. - Wentao Shi 002; Chenxu Wang; Fuli Feng; Yang Zhang 072; Wenjie Wang 007; Junkang Wu; Xiangnan He 001 (WWW, 2024)

Uplift Modeling for Target User Attacks on Recommender Systems. - Wenjie Wang 007; Changsheng Wang; Fuli Feng; Wentao Shi 002; Daizong Ding; Tat-Seng Chua (WWW, 2024)

The 2nd Workshop on Recommendation with Generative Models. - Wenjie Wang 007; Yang Zhang 072; Xinyu Lin 001; Fuli Feng; Weiwen Liu; Yong Liu 020; Xiangyu Zhao 001; Wayne Xin Zhao; Yang Song 008; Xiangnan He 001 (WWW (Companion Volume), 2024)

Large Language Models for Recommendation: Progresses and Future Directions. - Jizhi Zhang; Keqin Bao; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (WWW (Companion Volume), 2024)

Plug-In Diffusion Model for Embedding Denoising in Recommendation System. - Jujia Zhao; Wenjie Wang 007; Yiyan Xu; Teng Sun; Fuli Feng (CoRR, 2024)

LLM-based Federated Recommendation. - Jujia Zhao; Wenjie Wang 007; Chen Xu 010; Zhaochun Ren; See-Kiong Ng; Tat-Seng Chua (CoRR, 2024)

DiFashion: Towards Personalized Outfit Generation and Recommendation. - Yiyan Xu; Wenjie Wang 007; Fuli Feng; Yunshan Ma; Jizhi Zhang; Xiangnan He 001 (CoRR, 2024)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform. - Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Yang Zhang 072; Wentao Shi 002; Wanhong Xu; Fuli Feng; Tat-Seng Chua (CoRR, 2024)

DESERE: The 1st Workshop on Decentralised Search and Recommendation. - Mohamed Ragab 001; Yury Savateev; Wenjie Wang 007; Reza Moosaei; Thanassis Tiropanis; Alexandra Poulovassilis; Adriane Chapman; Helen Oliver 001; George Roussos (CoRR, 2024)

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. - Moxin Li; Wenjie Wang 007; Fuli Feng; Fengbin Zhu; Qifan Wang 001; Tat-Seng Chua (CoRR, 2024)

Exact and Efficient Unlearning for Large Language Model-based Recommendation. - Zhiyu Hu; Yang Zhang 072; Minghao Xiao; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

A Survey of Generative Search and Recommendation in the Era of Large Language Models. - Yongqi Li 001; Xinyu Lin 001; Wenjie Wang 007; Fuli Feng; Liang Pang; Wenjie Li 002; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (CoRR, 2024)

Learnable Tokenizer for LLM-based Generative Recommendation. - Wenjie Wang 007; Honghui Bao; Xilin Chen 001; Jizhi Zhang; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CoRR, 2024)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. - Yang Zhang 072; Keqin Bao; Ming Yang 001; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Unified Text-to-Image Generation and Retrieval. - Leigang Qu; Haochuan Li; Tan Wang; Wenjie Wang 007; Yongqi Li 001; Liqiang Nie; Tat-Seng Chua (CoRR, 2024)

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation. - Chengbing Wang; Wentao Shi 002; Jizhi Zhang; Wenjie Wang 007; Hang Pan 006; Fuli Feng (CoRR, 2024)

Incorporate LLMs with Influential Recommender System. - Mingze Wang; Shuxian Bi; Wenjie Wang 007; Chongming Gao; Yangyang Li; Fuli Feng (CoRR, 2024)

Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence. - Hang Pan 006; Shuxian Bi; Wenjie Wang 007; Haoxuan Li 001; Peng Wu 012; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Personalized Image Generation with Large Multimodal Models. - Yiyan Xu; Wenjie Wang 007; Yang Zhang 072; Tang Biao; Peng Yan; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding. - Fengbin Zhu; Ziyang Liu; Xiang Yao Ng; Haohui Wu; Wenjie Wang 007; Fuli Feng; Chao Wang 049; Huanbo Luan; Tat-Seng Chua (CoRR, 2024)

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation. - Yang Zhang 072; Juntao You; Yimeng Bai; Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Tat-Seng Chua (CoRR, 2024)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning. - Keqin Bao; Ming Yang 001; Yang Zhang 072; Jizhi Zhang; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Self-Calibrated Listwise Reranking with Large Language Models. - Ruiyang Ren; Yuhao Wang 007; Kun Zhou 002; Wayne Xin Zhao; Wenjie Wang 007; Jing Liu 022; Ji-Rong Wen; Tat-Seng Chua (CoRR, 2024)

Causal Disentangled Recommendation against User Preference Shifts. - Wenjie Wang 007; Xinyu Lin 001; Liuhui Wang; Fuli Feng; Yunshan Ma; Tat-Seng Chua (ACM Trans. Inf. Syst., 2024)

Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. - Han Liu; Yinwei Wei; Fan Liu 008; Wenjie Wang 007; Liqiang Nie; Tat-Seng Chua (ACM Trans. Inf. Syst., 2024)

Causal Inference in Recommender Systems: A Survey and Future Directions. - Chen Gao 001; Yu Zheng 010; Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Yong Li 008 (ACM Trans. Inf. Syst., 2024)

Causal Intervention for Fairness in Multibehavior Recommendation. - Xi Wang; Wenjie Wang 007; Fuli Feng; Wenge Rong; Chuantao Yin; Zhang Xiong 001 (IEEE Trans. Comput. Soc. Syst., 2024)

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. - Boyi Deng; Wenjie Wang 007; Fengbin Zhu; Qifan Wang 001; Fuli Feng (AAAI, 2025)

Pre-trained Behavioral Model for Malicious User Prediction on Social Platform. - Meng Jiang; Wenjie Wang 007; Shaofeng Hu; Kaishen Ou; Zhenjing Zheng; Fuli Feng (AAAI, 2025)

Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration. - Zheqi Lv; Keming Ye; Zishu Wei; Qi Tian 001; Shengyu Zhang 001; Wenqiao Zhang; Wenjie Wang 007; Kun Kuang; Tat-Seng Chua; Fei Wu 001 (AAAI, 2025)

Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation. - Keqin Bao; Ming Yan; Yang Zhang 072; Jizhi Zhang; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (ACL (Findings), 2025)

HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning. - Xiaoyuan Li; Moxin Li; Rui Men; Yichang Zhang; Keqin Bao; Wenjie Wang 007; Fuli Feng; Dayiheng Liu; Junyang Lin (ACL (Findings), 2025)

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment. - Moxin Li; Yuantao Zhang; Wenjie Wang 007; Wentao Shi 002; Zhuo Liu; Fuli Feng; Tat-Seng Chua (ACL (Findings), 2025)

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. - Yilun Qiu; Xiaoyan Zhao 005; Yang Zhang 072; Yimeng Bai; Wenjie Wang 007; Hong Cheng 001; Fuli Feng; Tat-Seng Chua (ACL (Findings), 2025)

Tunable LLM-based Proactive Recommendation Agent. - Mingze Wang; Chongming Gao; Wenjie Wang 007; Yangyang Li; Fuli Feng (ACL (1), 2025)

Personalized Generation In Large Model Era: A Survey. - Yiyan Xu; Jinghao Zhang; Alireza Salemi; Xinting Hu; Wenjie Wang 007; Fuli Feng; Hamed Zamani; Xiangnan He 001; Tat-Seng Chua (ACL (1), 2025)

Personalized Text Generation with Contrastive Activation Steering. - Jinghao Zhang; Yuting Liu 003; Wenjie Wang 007; Qiang Liu 006; Shu Wu; Liang Wang 001; Tat-Seng Chua (ACL (1), 2025)

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs. - Yi Fang 008; Moxin Li; Wenjie Wang 007; Lin Hui; Fuli Feng (COLING, 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 006; Wenjie Wang 007; Siliang Tang; Yueting Zhuang; Tat-Seng Chua (CVPR, 2025)

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. - Leigang Qu; Haochuan Li; Wenjie Wang 007; Xiang Liu 017; Juncheng Li 006; Liqiang Nie; Tat-Seng Chua (CVPR, 2025)

Efficient Inference for Large Language Model-based Generative Recommendation. - Xinyu Lin 001; Chaoqun Yang 002; Wenjie Wang 007; Yongqi Li 001; Cunxiao Du; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (ICLR, 2025)

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. - Chen Xu 010; Yuxin Li; Wenjie Wang 007; Liang Pang; Jun Xu 001; 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 007; Yongqi Li 001; Liqiang Nie; Tat-Seng Chua (ICLR, 2025)

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. - Zheqi Lv; Tianyu Zhan; Wenjie Wang 007; Xinyu Lin 001; Shengyu Zhang 001; Wenqiao Zhang; Jiwei Li 001; Kun Kuang; Fei Wu 001 (KDD (1), 2025)

Visual Content Generation in the Era of Large Foundation Models. - Leigang Qu; Fei Shen; Zhenglin Zhou; Jiayi Lyu; Wenjie Wang 007; Lu Jiang 004 (ICMR, 2025)

A Federated Framework for LLM-based Recommendation. - Jujia Zhao; Wenjie Wang 007; Chen Xu 010; See-Kiong Ng; Tat-Seng Chua (NAACL (Findings), 2025)

Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery. - Shuxian Bi; Wenjie Wang 007; Moxin Li; Chongming Gao; Fuli Feng (PAKDD (7), 2025)

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment. - Xinyu Lin 001; Keqin Bao; Jizhi Zhang; Yang Zhang 072; Wenjie Wang 007; Fuli Feng (SIGIR, 2025)

Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. - Yongqi Li 001; Hongru Cai; Wenjie Wang 007; Leigang Qu; Yinwei Wei; Wenjie Li 002; Liqiang Nie; Tat-Seng Chua (SIGIR, 2025)

Order-agnostic Identifier for Large Language Model-based Generative Recommendation. - Xinyu Lin 001; Haihan Shi; Wenjie Wang 007; Fuli Feng; Qifan Wang 001; See-Kiong Ng; Tat-Seng Chua (SIGIR, 2025)

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. - Chen Xu 010; Jujia Zhao; Wenjie Wang 007; Liang Pang; Jun Xu 001; Tat-Seng Chua; Maarten de Rijke (SIGIR, 2025)

Exploring Training and Inference Scaling Laws in Generative Retrieval. - Hongru Cai; Yongqi Li 001; Ruifeng Yuan; Wenjie Wang 007; Zhen Zhang; Wenjie Li 002; Tat-Seng Chua (SIGIR, 2025)

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. - Sunhao Dai; Wenjie Wang 007; Liang Pang; Jun Xu 001; See-Kiong Ng; Ji-Rong Wen; Tat-Seng Chua (SIGIR, 2025)

LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking. - Ruiyang Ren; Yuhao Wang 007; Junyi Li; Jinhao Jiang; Wayne Xin Zhao; Wenjie Wang 007; Tat-Seng Chua (SIGIR, 2025)

Generative Recommendation: Towards Personalized Multimodal Content Generation. - Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (WWW (Companion Volume), 2025)

Large Language Models Empowered Personalized Web Agents. - Hongru Cai; Yongqi Li 001; Wenjie Wang 007; Fengbin Zhu; Xiaoyu Shen 001; Wenjie Li 002; Tat-Seng Chua (WWW, 2025)

Self-Calibrated Listwise Reranking with Large Language Models. - Ruiyang Ren; Yuhao Wang 007; Kun Zhou 002; Wayne Xin Zhao; Wenjie Wang 007; Jing Liu 002; Ji-Rong Wen; Tat-Seng Chua (WWW, 2025)

Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation. - Chengbing Wang; Wentao Shi 002; Jizhi Zhang; Wenjie Wang 007; Hang Pan 006; Fuli Feng (WWW (Companion Volume), 2025)

Leveraging LLMs for Influence Path Planning in Proactive Recommendation. - Mingze Wang; Shuxian Bi; Wenjie Wang 007; Chongming Gao; Yangyang Li; Fuli Feng (WWW (Companion Volume), 2025)

Personalized Image Generation with Large Multimodal Models. - Yiyan Xu; Wenjie Wang 007; Yang Zhang 072; Biao Tang; Peng Yan; Fuli Feng; Xiangnan He 001 (WWW, 2025)

The 3rd Workshop on Personal Intelligence with Generative AI. - Yang Zhang 072; Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Hongzhi Yin; Wayne Xin Zhao; Lina Yao 001; Yang Song 008; Xiangnan He 001 (WWW (Companion Volume), 2025)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment. - Yi Fang 008; Wenjie Wang 007; Yang Zhang 072; Fengbin Zhu; Qifan Wang 001; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking. - Ruiyang Ren; Yuhao Wang 007; Junyi Li; Jinhao Jiang; Wayne Xin Zhao; Wenjie Wang 007; Tat-Seng Chua (CoRR, 2025)

DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing. - Yi Wang; Fenghua Weng; Sibei Yang; Zhan Qin; Minlie Huang; Wenjie Wang 007 (CoRR, 2025)

TokenSkip: Controllable Chain-of-Thought Compression in LLMs. - Heming Xia; Yongqi Li 001; Chak Tou Leong; Wenjie Wang 007; Wenjie Li 002 (CoRR, 2025)

FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance. - Fengbin Zhu; Junfeng Li; Liangming Pan; Wenjie Wang 007; Fuli Feng; Chao Wang 049; Huanbo Luan; Tat-Seng Chua (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

Unifying Search and Recommendation: A Generative Paradigm Inspired by Information Theory. - Jujia Zhao; Wenjie Wang 007; Chen Xu 010; Xiuying Chen; Zhaochun Ren; Suzan Verberne (CoRR, 2025)

Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models. - Xiaoyan Zhao 005; Yang Deng 002; Wenjie Wang 007; Hongzhan Lin 001; Hong Cheng 001; Rui Zhang 003; See-Kiong Ng; Tat-Seng Chua (CoRR, 2025)

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition. - Yiyan Xu; Wuqiang Zheng; Wenjie Wang 007; Fengbin Zhu; Xinting Hu; Yang Zhang 072; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

Envisioning Recommendations on an LLM-Based Agent Platform. - Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Yang Zhang 072; Wentao Shi 002; Wanhong Xu; Fuli Feng; Tat-Seng Chua (Commun. ACM, 2025)

R2ec: Towards Large Recommender Models with Reasoning. - Runyang You; Yongqi Li 001; Xinyu Lin 001; Xin Zhang 097; Wenjie Wang 007; Wenjie Li 002; Liqiang Nie (CoRR, 2025)

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation. - Xiaoyuan Li; Keqin Bao; Yubo Ma; Moxin Li; Wenjie Wang 007; Rui Men; Yichang Zhang; Fuli Feng; Dayiheng Liu; Junyang Lin (CoRR, 2025)

Reinforced Latent Reasoning for LLM-based Recommendation. - Yang Zhang 072; Wenxin Xu; Xiaoyan Zhao 005; Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (CoRR, 2025)

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization. - Xiaoyan Zhao 005; Juntao You; Yang Zhang 072; Wenjie Wang 007; Hong Cheng 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CoRR, 2025)

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens. - Chaoqun Yang 002; Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Teng Sun; Xianjing Han; Tat-Seng Chua (CoRR, 2025)

Heterogeneous User Modeling for LLM-based Recommendation. - Honghui Bao; Wenjie Wang 007; Xilin Chen 001; Fengbin Zhu; Teng Sun; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

Sparse Autoencoder-guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMs. - Boyi Deng; Yu Wan 004; Baosong Yang; Fei Huang 002; Wenjie Wang 007; Fuli Feng (CoRR, 2025)

MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning. - Xiaoyuan Li; Moxin Li; Wenjie Wang 007; Rui Men; Yichang Zhang; Fuli Feng; Dayiheng Liu; Junyang Lin (CoRR, 2025)

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. - Yicheng Bao; Guanxu Chen; Mingkang Chen; Yunhao Chen; Chiyu Chen; Lingjie Chen; Sirui Chen; Xinquan Chen; Jie Cheng; Yu Cheng 001; Dengke Deng; Yizhuo Ding; et al. (CoRR, 2025)

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning. - Wuqiang Zheng; Yiyan Xu; Xinyu Lin 001; Chongming Gao; Wenjie Wang 007; Fuli Feng (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. - Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Yang Zhang 072; Zhengyi Yang 007; Yanchen Luo; Chong Chen 001; Fuli Feng; Qi Tian 001 (Trans. Recomm. Syst., 2025)