Wenjie Wang

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 50

Top Topics

Robust Optimization

Image Generation

Compound Critiques

Top Venues

WWW (Companion Volume)

ACM Trans. Inf. Syst.

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)
Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
Uplift Modeling for Target User Attacks on Recommender Systems. CoRR (2024)
Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
Item-side Fairness of Large Language Model-based Recommendation System. CoRR (2024)
Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He
Exact and Efficient Unlearning for Large Language Model-based Recommendation. CoRR (2024)
Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He
Proactive Recommendation with Iterative Preference Guidance. WWW (Companion Volume) (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)
Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. CoRR (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)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
DiFashion: Towards Personalized Outfit Generation and Recommendation. CoRR (2024)
Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li
Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. 42 (4) (2024)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
Diffusion Models for Generative Outfit Recommendation. SIGIR (2024)
Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. CoRR (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)
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)
Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng
Large Language Models for Recommendation: Past, Present, and Future. SIGIR (2024)
Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. WWW (2024)
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
Debiased Recommendation with Noisy Feedback. CoRR (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)
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 Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. ACL (1) (2024)
Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua
Distillation Enhanced Generative Retrieval. ACL (Findings) (2024)
Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
Large Language Models for Recommendation: Progresses and Future Directions. WWW (Companion Volume) (2024)
Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. WWW (Companion Volume) (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. CoRR (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. WWW (Companion Volume) (2024)
Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua
Treatment Effect Estimation for User Interest Exploration on Recommender Systems. 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)
Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
Item-side Fairness of Large Language Model-based Recommendation System. WWW (2024)
Yi Fang, Moxin Li, Wenjie Wang, Hui Lin, Fuli Feng
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs. CoRR (2024)
Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua
Treatment Effect Estimation for User Interest Exploration on Recommender Systems. SIGIR (2024)
Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. CoRR (2024)
Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
Debiased Recommendation with Noisy Feedback. KDD (2024)
Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua
Prospect Personalized Recommendation on Large Language Model-based Agent Platform. CoRR (2024)
Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He
Proactive Recommendation with Iterative Preference Guidance. CoRR (2024)
Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos
The 1st Workshop on Decentralised Search and Recommendation. WWW (Companion Volume) (2024)
Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. ACL (Findings) (2024)
Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. RecSys (2023)
Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
RecAD: Towards A Unified Library for Recommender Attack and Defense. RecSys (2023)
Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie
General Debiasing for Multimodal Sentiment Analysis. ACM Multimedia (2023)
Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua
Equivariant Learning for Out-of-Distribution Cold-start Recommendation. ACM Multimedia (2023)
Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun
The 1st Workshop on Recommendation with Generative Models. CIKM (2023)
Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
RecAD: Towards A Unified Library for Recommender Attack and Defense. CoRR (2023)
Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua
Popularity-aware Distributionally Robust Optimization for Recommendation System. CIKM (2023)
Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. RecSys (2023)