Wenjie Wang

According to our database, Wenjie Wang authored at least 184 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data.

Hang Pan, Chunyuan Zheng, Wenjie Wang, Jingang Jiang, Xueying Li, Haoxuan Li, Fuli Feng

ACM Trans. Inf. Syst., March, 2026

AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment.

Jianfei Xiao, Xiang Yu, Chengbing Wang, Wuqiang Zheng, Xinyu Lin, Kaining Liu, Hongxun Ding, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, March, 2026

CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization.

Yicheng Hu, Xinyu Lin, Shulin Li, Wenjie Wang, Fengbin Zhu, Fuli Feng

CoRR, March, 2026

NextMem: Towards Latent Factual Memory for LLM-based Agents.

Zeyu Zhang, Rui Li, Xiaoyan Zhao, Yang Zhang, Wenjie Wang, Xu Chen, Tat-Seng Chua

CoRR, March, 2026

MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval.

Fengbin Zhu, Zijing Cai, Yuzhe Wang, Pengyang Shao, Wenjie Wang, Fuli Feng, Richang Hong, Tat-Seng Chua

CoRR, March, 2026

Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation.

Yaxin Gong, Chongming Gao, Chenxiao Fan, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, March, 2026

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

CoRR, March, 2026

Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery.

Chaoqun Yang, Xinyu Lin, Shulin Li, Wenjie Wang, Ruihan Guo, Fuli Feng, Tat-Seng Chua

CoRR, March, 2026

NextAds: Towards Next-generation Personalized Video Advertising.

Yiyan Xu, Ruoxuan Xia, Wuqiang Zheng, Fengbin Zhu, Wenjie Wang, Fuli Feng

CoRR, March, 2026

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment.

Hongru Cai, Yongqi Li, Tiezheng Yu, Fengbin Zhu, Wenjie Wang, Fuli Feng, Wenjie Li

CoRR, January, 2026

AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation.

Dongjie Cheng, Ruifeng Yuan, Yongqi Li, Runyang You, Wenjie Wang, Liqiang Nie, Lei Zhang, Wenjie Li

CoRR, January, 2026

PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models.

Chengbing Wang, Wuqiang Zheng, Yang Zhang, Fengbin Zhu, Junyi Cheng, Yi Xie, Wenjie Wang, Fuli Feng

CoRR, January, 2026

Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning.

Dongjie Cheng, Yongqi Li, Zhixin Ma, Hongru Cai, Yupeng Hu, Wenjie Wang, Liqiang Nie, Wenjie Li

CoRR, January, 2026

FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting.

Xiangyu Li, Xuan Yao, Guohao Qi, Fengbin Zhu, Kelvin J. L. Koa, Xiang Yao Ng, Ziyang Liu, Xingyu Ni, Chang Liu, Yonghui Yang, Yang Zhang, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Xiaofen Xing, Xiangmin Xu, Tat-Seng Chua, Ke-Wei Huang

CoRR, January, 2026

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering.

Yi Fang, Wenjie Wang, Mingfeng Xue, Boyi Deng, Fengli Xu, Dayiheng Liu, Fuli Feng

CoRR, January, 2026

Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory.

Chen Xu, Zhipeng Yi, Ruizi Wang, Wenjie Wang, Jun Xu, Maarten de Rijke

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

Unifying Diversity and Fairness in Re-ranking via Economic Growth Theory.

Zhaofeng Li, Chen Xu, Xinyu Lin, Wenjie Wang, Xiaokui Xiao

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the MultiMedia Modeling, 2026

Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning.

Wuqiang Zheng, Yiyan Xu, Xinyu Lin, Chongming Gao, Wenjie Wang, Fuli Feng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems.

Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yanchen Luo, Chong Chen, Fuli Feng, Qi Tian

Trans. Recomm. Syst., December, 2025

Think-Reflect-Revise: A Policy-Guided Reflective Framework for Safety Alignment in Large Vision Language Models.

Fenghua Weng, Chaochao Lu, Xia Hu, Wenqi Shao, Wenjie Wang

CoRR, December, 2025

Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation.

Chengbing Wang, Yang Zhang, Wenjie Wang, Xiaoyan Zhao, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, December, 2025

Exact and Efficient Unlearning for Large Language Model-Based Recommendation.

Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He

IEEE Trans. Knowl. Data Eng., October, 2025

FinDeepResearch: Evaluating Deep Research Agents in Rigorous Financial Analysis.

Fengbin Zhu, Xiang Yao Ng, Ziyang Liu, Chang Liu, Xianwei Zeng, Chao Wang, Tianhui Tan, Xuan Yao, Pengyang Shao, Min Xu, Zixuan Wang, Jing Wang, Xin Li, Junfeng Li, Jingxian Zhu, Yang Zhang, Wenjie Wang, Fuli Feng, Richang Hong, Huanbo Luan, Ke-Wei Huang, Tat-Seng Chua

CoRR, October, 2025

TTOM: Test-Time Optimization and Memorization for Compositional Video Generation.

Leigang Qu, Ziyang Wang, Na Zheng, Wenjie Wang, Liqiang Nie, Tat-Seng Chua

CoRR, October, 2025

Parallel Test-Time Scaling for Latent Reasoning Models.

Runyang You, Yongqi Li, Meng Liu, Wenjie Wang, Liqiang Nie, Wenjie Li

CoRR, October, 2025

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2.

Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke

ACM Trans. Inf. Syst., September, 2025

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System.

Sunhao Dai, Jiakai Tang, Jiahua Wu, Kun Wang, Yuxuan Zhu, Bingjun Chen, Bangyang Hong, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Wenjie Wang, Xu Chen, Jun Xu, See-Kiong Ng

CoRR, September, 2025

MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning.

Xiaoyuan Li, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu, Junyang Lin

CoRR, July, 2025

Sparse Autoencoder-guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMs.

Boyi Deng, Yu Wan, Baosong Yang, Fei Huang, Wenjie Wang, Fuli Feng

CoRR, July, 2025

Heterogeneous User Modeling for LLM-based Recommendation.

Honghui Bao, Wenjie Wang, Xilin Chen, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua

CoRR, July, 2025

VINCIE: Unlocking In-context Image Editing from Video.

Leigang Qu, Feng Cheng, Ziyan Yang, Qi Zhao, Shanchuan Lin, Yichun Shi, Yicong Li, Wenjie Wang, Tat-Seng Chua, Lu Jiang

CoRR, June, 2025

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization.

Xiaoyan Zhao, Juntao You, Yang Zhang, Wenjie Wang, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, June, 2025

Reinforced Latent Reasoning for LLM-based Recommendation.

Yang Zhang, Wenxin Xu, Xiaoyan Zhao, Wenjie Wang, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, May, 2025

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation.

Xiaoyuan Li, Keqin Bao, Yubo Ma, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu, Junyang Lin

CoRR, May, 2025

R²ec: Towards Large Recommender Models with Reasoning.

Runyang You, Yongqi Li, Xinyu Lin, Xin Zhang, Wenjie Wang, Wenjie Li, Liqiang Nie

CoRR, May, 2025

Envisioning Recommendations on an LLM-Based Agent Platform.

Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua

Commun. ACM, May, 2025

Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models.

Xiaoyan Zhao, Yang Deng, Wenjie Wang, Hongzhan Lin, Hong Cheng, Rui Zhang, See-Kiong Ng, Tat-Seng Chua

CoRR, April, 2025

Unifying Search and Recommendation: A Generative Paradigm Inspired by Information Theory.

Jujia Zhao, Wenjie Wang, Chen Xu, Xiuying Chen, Zhaochun Ren, Suzan Verberne

CoRR, April, 2025

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1.

Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke

ACM Trans. Inf. Syst., March, 2025

FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance.

Fengbin Zhu, Junfeng Li, Liangming Pan, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua

CoRR, March, 2025

DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing.

Yi Wang, Fenghua Weng, Sibei Yang, Zhan Qin, Minlie Huang, Wenjie Wang

CoRR, February, 2025

Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking.

Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua

CoRR, February, 2025

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment.

Yi Fang, Wenjie Wang, Yang Zhang, Fengbin Zhu, Qifan Wang, Fuli Feng, Xiangnan He

CoRR, February, 2025

Proactive Recommendation in Social Networks: Steering user interest with causal inference.

Hang Pan, Shuxian Bi, Wenjie Wang, Haoxuan Li, Peng Wu, Fuli Feng

AI Open, 2025

The 3rd Workshop on Personal Intelligence with Generative AI.

Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Personalized Image Generation with Large Multimodal Models.

Yiyan Xu, Wenjie Wang, Yang Zhang, Biao Tang, Peng Yan, Fuli Feng, Xiangnan He

Proceedings of the ACM on Web Conference 2025, 2025

Leveraging LLMs for Influence Path Planning in Proactive Recommendation.

Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation.

Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

Large Language Models Empowered Personalized Web Agents.

Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua

Proceedings of the ACM on Web Conference 2025, 2025

Generative Recommendation: Towards Personalized Multimodal Content Generation.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Exploring Training and Inference Scaling Laws in Generative Retrieval.

Hongru Cai, Yongqi Li, Ruifeng Yuan, Wenjie Wang, Zhen Zhang, Wenjie Li, Tat-Seng Chua

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment.

Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Heterogeneous User Modeling for LLM-based Recommendation.

Honghui Bao, Wenjie Wang, Xinyu Lin, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery.

Shuxian Bi, Wenjie Wang, Moxin Li, Chongming Gao, Fuli Feng

Proceedings of the Data Science: Foundations and Applications, 2025

A Federated Framework for LLM-based Recommendation.

Jujia Zhao, Wenjie Wang, Chen Xu, See-Kiong Ng, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance.

Fengbin Zhu, Junfeng Li, Liangming Pan, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition.

Yiyan Xu, Wuqiang Zheng, Wenjie Wang, Fengbin Zhu, Xinting Hu, Yang Zhang, Fuli Feng, Tat-Seng Chua

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Visual Content Generation in the Era of Large Foundation Models.

Leigang Qu, Fei Shen, Zhenglin Zhou, Jiayi Lyu, Wenjie Wang, Lu Jiang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation.

Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models.

Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models.

Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation.

Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Inference for Large Language Model-based Generative Recommendation.

Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TokenSkip: Controllable Chain-of-Thought Compression in LLMs.

Heming Xia, Chak Tou Leong, Wenjie Wang, Yongqi Li, Wenjie Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation.

Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training.

Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang, Siliang Tang, Yueting Zhuang, Tat-Seng Chua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs.

Yi Fang, Moxin Li, Wenjie Wang, Lin Hui, Fuli Feng

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Incremental Learning for LLM-based Tokenization and Recommendation.

Haihan Shi, Xinyu Lin, Wenjie Wang, Wentao Shi, Junwei Pan, Jie Jiang, Fuli Feng

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

An LLM-based Behavior Modeling Framework for Malicious User Detection.

Meng Jiang, Wenjie Wang, Chongming Gao, Shaofeng Hu, Kaishen Ou, Hui Lin, Fuli Feng

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Personalized Text Generation with Contrastive Activation Steering.

Jinghao Zhang, Yuting Liu, Wenjie Wang, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Tunable LLM-based Proactive Recommendation Agent.

Mingze Wang, Chongming Gao, Wenjie Wang, Yangyang Li, Fuli Feng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 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, Fuli Feng, Dayiheng Liu, Junyang Lin

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation.

Shuxian Bi, Chongming Gao, Wenjie Wang, Yueqi Mou, Chenxu Wang, Tang Biao, Peng Yan, Fuli Feng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation.

Keqin Bao, Ming Yan, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration.

Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Pre-trained Behavioral Model for Malicious User Prediction on Social Platform.

Meng Jiang, Wenjie Wang, Shaofeng Hu, Kaishen Ou, Zhenjing Zheng, Fuli Feng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG.

Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Causal Intervention for Fairness in Multibehavior Recommendation.

Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin, Zhang Xiong

IEEE Trans. Comput. Soc. Syst., October, 2024

Causal Inference in Recommender Systems: A Survey and Future Directions.

Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li

ACM Trans. Inf. Syst., July, 2024

Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation.

Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua

ACM Trans. Inf. Syst., March, 2024

Causal Disentangled Recommendation against User Preference Shifts.

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua

ACM Trans. Inf. Syst., January, 2024

Length Controlled Generation for Black-box LLMs.

Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Tat-Seng Chua, Bing Qin

CoRR, 2024

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

CoRR, 2024

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning.

Keqin Bao, Ming Yang, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, 2024

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation.

Yang Zhang, Juntao You, Yimeng Bai, Jizhi Zhang, Keqin Bao, Wenjie Wang, Tat-Seng Chua

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, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua

CoRR, 2024

Personalized Image Generation with Large Multimodal Models.

Yiyan Xu, Wenjie Wang, Yang Zhang, Tang Biao, Peng Yan, Fuli Feng, Xiangnan He

CoRR, 2024

Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence.

Hang Pan, Shuxian Bi, Wenjie Wang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

CoRR, 2024

Incorporate LLMs with Influential Recommender System.

Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng

CoRR, 2024

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation.

Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng

CoRR, 2024

Unified Text-to-Image Generation and Retrieval.

Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua

CoRR, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.

Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, 2024

Learnable Tokenizer for LLM-based Generative Recommendation.

Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

A Survey of Generative Search and Recommendation in the Era of Large Language Models.

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua

CoRR, 2024

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.

Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua

CoRR, 2024

DESERE: The 1st Workshop on Decentralised Search and Recommendation.

Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos

CoRR, 2024

Prospect Personalized Recommendation on Large Language Model-based Agent Platform.

Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua

CoRR, 2024

DiFashion: Towards Personalized Outfit Generation and Recommendation.

Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He

CoRR, 2024

LLM-based Federated Recommendation.

Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

Plug-In Diffusion Model for Embedding Denoising in Recommendation System.

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng

CoRR, 2024

Large Language Models for Recommendation: Progresses and Future Directions.

Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The 2nd Workshop on Recommendation with Generative Models.

Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Uplift Modeling for Target User Attacks on Recommender Systems.

Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua

Proceedings of the ACM on Web Conference 2024, 2024

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation.

Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 2024

Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction.

Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Item-side Fairness of Large Language Model-based Recommendation System.

Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 2024

Proactive Recommendation with Iterative Preference Guidance.

Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The 1st Workshop on Decentralised Search and Recommendation.

Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Denoising Diffusion Recommender Model.

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Diffusion Models for Generative Outfit Recommendation.

Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Data-efficient Fine-tuning for LLM-based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Treatment Effect Estimation for User Interest Exploration on Recommender Systems.

Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Large Language Models for Recommendation: Past, Present, and Future.

Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

A Taxation Perspective for Fair Re-ranking.

Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection.

Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Debiased Recommendation with Noisy Feedback.

Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Study of Implicit Ranking Unfairness in Large Language Models.

Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Discriminative Probing and Tuning for Text-to-Image Generation.

Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learnable Item Tokenization for Generative Recommendation.

Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.

Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Distillation Enhanced Generative Retrieval.

Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction.

Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation.

Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mitigating Spurious Correlations for Self-supervised Recommendation.

Xinyu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng

Mach. Intell. Res., April, 2023

Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study.

Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua

CoRR, 2023

A Multi-facet Paradigm to Bridge Large Language Model and Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2023

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems.

Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnan He, Qi Tian

CoRR, 2023

Robust Instruction Optimization for Large Language Models with Distribution Shifts.

Moxin Li, Wenjie Wang, Fuli Feng, Jizhi Zhang, Tat-Seng Chua

CoRR, 2023

Generative Recommendation: Towards Next-generation Recommender Paradigm.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, 2023

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.

Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Causal Recommendation: Progresses and Future Directions.

Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Diffusion Recommender Model.

Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learnable Pillar-based Re-ranking for Image-Text Retrieval.

Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.

Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

RecAD: Towards A Unified Library for Recommender Attack and Defense.

Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.

Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Equivariant Learning for Out-of-Distribution Cold-start Recommendation.

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Multimedia, 2023

General Debiasing for Multimodal Sentiment Analysis.

Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Robust Prompt Optimization for Large Language Models Against Distribution Shifts.

Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models.

Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Popularity-aware Distributionally Robust Optimization for Recommendation System.

Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

The 1st Workshop on Recommendation with Generative Models.

Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context.

Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Counterfactual Active Learning for Out-of-Distribution Generalization.

Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Causal Intervention for Fairness in Multi-behavior Recommendation.

Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin

CoRR, 2022

Causal Representation Learning for Out-of-Distribution Recommendation.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

User-controllable Recommendation Against Filter Bubbles.

Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Interpolative Distillation for Unifying Biased and Debiased Recommendation.

Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis.

Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song, Liqiang Nie

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dynamic Hypergraph Convolutional Network.

Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Market2Dish: Health-aware Food Recommendation.

Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie

ACM Trans. Multim. Comput. Commun. Appl., 2021

Conversational Image Search.

Liqiang Nie, Fangkai Jiao, Wenjie Wang, Yinglong Wang, Qi Tian

IEEE Trans. Image Process., 2021

Learning Robust Recommender from Noisy Implicit Feedback.

Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua

CoRR, 2021

Denoising Implicit Feedback for Recommendation.

Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua

Proceedings of the WSDM '21, 2021

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue.

Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Deconfounded Recommendation for Alleviating Bias Amplification.

Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Pre-training and evaluation of numeracy-oriented language model.

Fuli Feng, Xilin Rui, Wenjie Wang, Yixin Cao, Tat-Seng Chua

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue.

Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

CoRR, 2020

What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation.

Hao Jiang, Wenjie Wang, Yinwei Wei, Zan Gao, Yinglong Wang, Liqiang Nie

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

User Attention-guided Multimodal Dialog Systems.

Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Multimodal Dialog System: Generating Responses via Adaptive Decoders.

Liqiang Nie, Wenjie Wang, Richang Hong, Meng Wang, Qi Tian

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Market2Dish: A Health-aware Food Recommendation System.

Hao Jiang, Wenjie Wang, Meng Liu, Liqiang Nie, Ling-Yu Duan, Changsheng Xu

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Chat More: Deepening and Widening the Chatting Topic via A Deep Model.

Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018