Wenjie Wang

According to our database, Wenjie Wang authored at least 40 papers between 2018 and 2024.

Collaborative distances:

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

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

2023

Mitigating Spurious Correlations for Self-supervised Recommendation.

Xin-Yu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng

Mach. Intell. Res., April, 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

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 Inference in Recommender Systems: A Survey and Future Directions.

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

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 Lye, 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