I am a research fellow, working with Prof. Tat-Seng Chua and Prof. See-Kiong Ng in National University of Singapore. I obtained my PhD from NUS in 2023, also supervised by Prof. Chua. Prior to that, I received my B.Eng. degree from Shandong University (Elite Class) in 2019, supervised by Prof. Liqiang Nie . My research interests include information retrieval, causal recommendation, and multi-media analytics.

PS: I am looking for highly motivated PhD/master/undergraduate students to collaborate on various interesting research topics, including generative models (e.g., LLMs) for recommendation, causal recommendation, trustworthy recommendation, etc. If you have interest, please feel free to send your CV to wenjiewang96@gmail.com.

Publications Google Scholar

   *Corresponding author
In the Year of 2024:

pdf	Generative Recommendation: Towards Next-generation Recommender Paradigm Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua Submitted to TORS

pdf	Uplift Modeling for Target User Attacks on Recommender Systems Wenjie Wang, Changsheng Wang, Fuli Feng*, Wentao Shi, Daizong Ding, Tat-Seng Chua WWW 2024

pdf	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 WWW 2024

pdf	Item-side Fairness of Large Language Model-based Recommendation System Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng and Xiangnan He WWW 2024 Web4Good

pdf	Temporally and Distributionally Robust Optimization for Cold-start Recommendation Xinyu Lin, Wenjie Wang*, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua AAAI 2024

pdf	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 AAAI 2024

In the Year of 2023:

pdf	Robust Prompt Optimization for Large Language Models Against Distribution Shifts Moxin Li, Wenjie Wang*, Fuli Feng, Yixin Cao, Jizhi Zhang and Tat-Seng Chua EMNLP (Main)

pdf	Attack Prompt Generation for Red Teaming and Defending Large Language Model Boyi Deng, Wenjie Wang*, Fuli Feng, Yang Deng, Qifan Wang and Xiangnan He EMNLP (Finding)

pdf	Popularity-aware Distributionally Robust Optimization for Recommendation System Jujia Zhao, Wenjie Wang*, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua CIKM 2023

pdf	Can ChatGPT Make Fair Recommendation? A Fairness Evaluation Benchmark for Recommendation with Large Language Model Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng and Xiangnan He RecSys 2023 (Short)

pdf	Tallrec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng and Xiangnan He RecSys 2023 (Short)

pdf	RecAD : Towards A Unified Library for Recommender Attack and Defense Changsheng Wang, Jianbai Ye, Wenjie Wang*, Chongming Gao, Fuli Feng and Xiangnan He RecSys 2023 (Reproducibility)

pdf	Equivariant Learning for Out-of-Distribution Cold-start Recommendation Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua ACMMM 2023 (Oral)

pdf	General Debiasing for Multimodal Sentiment Analysis Teng Sun, Juntong Ni, Wenjie Wang*, Liqiang Jing, Yinwei Wei, Liqiang Nie ACMMM 2023 (Poster)

pdf	Diffusion Recommender Model Wenjie Wang, Yiyan Xu, Fuli Feng*, Xinyu Lin, Xiangnan He, Tat-Seng Chua SIGIR 2023 (Full)

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

pdf	Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang SIGIR 2023 (Full)

pdf	Causal Disentangled Recommendation Against User Preference Shifts Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua TOIS 2023 (Full)

pdf	Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua TOIS 2023 (Full)

pdf	Counterfactual Active Learning for Out-of-Distribution Generalization Xun Deng, Wenjie Wang*, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao ACL 2023 (Full)

pdf	Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context Moxin Li, Wenjie Wang*, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua ACL findings 2023 (Full)

pdf	Mitigating Spurious Correlations for Self-supervised Recommendation Xinyu Lin, Yiyan Xu, Wenjie Wang*, Yang Zhang, Fuli Feng MIR 2023 (Full)

In the Year of 2022:

pdf	Causal Representation Learning for Out-of-Distribution Recommendation Wenjie Wang, Xinyu Lin, Fuli Feng*, Xiangnan He, Min Lin, Tat-Seng Chua WWW 2022 (Full, Accept rate: 17.7%)    Codes

pdf	User-controllable Recommendation Against Filter Bubbles Wenjie Wang, Fuli Feng*, Liqiang Nie and Tat-Seng Chua SIGIR 2022 (Full, Accept rate: 20%)

pdf	Interpolative Distillation for Unifying Biased and Debiased Recommendation Sihao Ding, Fuli Feng*, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao and Yongdong Zhang SIGIR 2022 (Full, Accept rate: 20%)

pdf	Dynamic Hypergraph Convolutional Network Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen and Xian-Sheng Hua ICDE 2022 (Full)

pdf	Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis Teng Sun, Wenjie Wang*, Liqaing Jing, Yiran Cui, Xuemeng Song and Liqiang Nie* ACMMM 2022 (Oral)

In the Year of 2021:

pdf	Deconfounded Recommendation for Alleviating Bias Amplification Wenjie Wang, Fuli Feng*, Xiangnan He, Xiang Wang, Tat-Seng Chua KDD 2021 (Full, Accept rate: 15.4%)    Codes

pdf	Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue Wenjie Wang, Fuli Feng*, Xiangnan He, Hanwang Zhang, Tat-Seng Chua SIGIR 2021 (Full, Accept rate: 21%)    Codes

pdf	Denoising Implicit Feedback for Recommendation Wenjie Wang, Fuli Feng*, Xiangnan He, Liqiang Nie, Tat-Seng Chua WSDM 2021 (Full, Accept rate: 18.6%)    Codes

pdf	Conversational Image Search Liqiang Nie, Fangkai Jiao, Wenjie Wang, Yinglong Wang, Qi Tian TIP 2021 (Full)

Before 2021:

pdf	What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation Hao Jiang, Wenjie Wang*, Yinwei Wei, Zan Gao, Liqiang Nie* ACMMM 2020 (Full)

pdf	Market2Dish: Health-aware Food Recommendation System Wenjie Wang, Ling-yu Duan, Hao Jiang, Xuemeng Song, Liqiang Nie* TOMM (Full)    Codes

pdf	User Atention-guided Multimodal Dialog Systems Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie* SIGIR 2019 (Full)    Codes

pdf	Multimodal Dialog System: Generating Responses via Adaptive Decoders Liqiang Nie*, Wenjie Wang, Richang Hong, Meng Wang, Qi Tian ACMMM 2019 (Full)    Codes (Best Paper Final List)

pdf	Market2Dish: A Health-aware Food Recommendation System Hao Jiang, Wenjie Wang, Meng Liu, Liqiang Nie, Ling-Yu Duan, Changsheng Xu ACMMM 2019 (Demo)    Codes

pdf	Chat more: Deepening and widening the chatting topic via a deep model Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie* SIGIR 2018 (Full)    Codes

Invited Talks

Causal Inference for Trustworthy Recommender Systems    - ACM RecSys Workshop Keynote, CONSEQUENCES, Singapore, Sep 2023

Large Language Models for Recommendation: Progresses and Prospects    - MLNLP 2023, Sep 2023; MIR forum Aug 2023

Causal Recommender System    - Beijing Super Cloud Computing Center & Shandong University Taishan College, Apr, 2023

Denoising Implicit Feedback for Recommendation    - WSDM 2021, Online Conference, Mar, 2021

Multimodal Dialog System: Generating Responses via Adaptive Decoders    - ACMMM 2019 Best Paper Session, Nice, France, Oct, 2019

Chat more: Deepening and widening the chatting topic via a deep model    - SIGIR 2018, Ann Arbor MI, USA, July, 2018

Professional Services

Web Chair for SIGIR 2023 Guest Editor for TOIS Special Issue on Pre-trained Models for Search and Recommendation Invited Reviewer for TOIS, TPAMI, TMM, TCSVT, TNNLS, TORS, TSP, Multimedia Systems Program Committee Member of AAAI, WSDM, WWW, KDD, ACMMM, RecSys, IJCAI, SIGIR in 2023 Program Committee Member of AAAI, WSDM, ACMMM, KDD in 2022 Program Committee Member of AAAI, ACMMM, ECML/PKDD in 2021 Program Committee Member of ACMMM in 2020

Honors

Best Presentation Award at Singapore ACM SIGKDD Symposium 2023

Google PhD Fellowship,   2022

Dean’s Graduate Research Excellence Award,   Aug 2022    - School of Computing, National University of Singapore

Research Achievement Award,   Aug 2021    - School of Computing, National University of Singapore

President Scholarship,   Dec 2018    - Highest honor in Shandong University

National Scholarship,   Dec 2017    - Shandong University, China

Teaching Assistants

CS5228 Knowledge Discovery and Data Mining 2019/2020 semester 2

CS2103/T: Software Engineering 2020/2021 Semester 1

CS5260 Neural Networks and Deep Learning II 2020/2021 Semester 2

Last update: Oct, 2023. Webpage template borrows from Prof. Xiangnan He.