I am now a tenure-track assistant professor （预聘副教授） in School of Artificial Intelligence and Data Science, University of Science and Technology of China. My research interests include Artifical General Intelligence, Personal LLMs, AI for Social Science, trustworthy AI, and Agentic AI.
I have over 30 publications appeared in several top conference and journals such as NeurIPS, ICLR, ICML, SIGIR, WWW, KDD, and TOIS. Several papers have been featured in the most cited and influential list (e.g., SIGIR 2024, WWW 2023, KDD 2022, SIGIR 2021) and best paper finalist (e.g., SIGIR 2024).
Moreover, I have served as the PC member for top-tier conferences including NeurIPS, ICLR, SIGIR, WWW, and KDD, and the invited reviewer for prestigious journals including TKDE, TOIS, and TNNLS.

Selected Publications

In the Year of 2025:

pdf	Think before Recommendation: Autonomous Reasoning-enhanced Recommender Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang NeurIPS 2025 (Accept Rate: 24.52%)

pdf	On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang NeurIPS 2025 (Accept Rate: 24.52%)

pdf	RePO: Understanding Preference Learning Through ReLU-Based Optimization Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang NeurIPS 2025 (Accept Rate: 24.52%)

pdf	Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang NeurIPS 2025 (Accept Rate: 24.52%)

pdf	LaMP-Val: Large Language Models Empower Personalized Valuation in Auction Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu*, Xiang Wang EMNLP 2025 (Findings)    (*Corresponding)

pdf	LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems Yuyue Zhao, Jin Huang, Shuchang Liu, Jiancan Wu, Xiang Wang, Maarten de Rijke RecSys 2025

pdf	Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning Zijian Shao, Jiancan Wu*, Weijian Chen, Xiang Wang ACL 2025    (*Corresponding)

pdf	Robust Preference Optimization via Dynamic Target Margins Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang ACL 2025 (Findings)

pdf	AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He ICML 2025 (Accept Rate: 26.9%)

pdf	Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang ICML 2025 (Accept Rate: 26.9%)

pdf	Addressing Missing Data Issue for Diffusion-based Recommendation Wenyu Mao, Zhengyi Yang, Jiancan Wu*, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He SIGIR 2025 (Accept Rate: 21.5%)    (*Corresponding)

pdf	Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding, Jiancan Wu*, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, and Xiangnan He ICLR 2025 (Accept Rate: 32.08%)    (*Corresponding)

pdf	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu*, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, and Xiangnan He ICLR 2025 (Accept Rate: 32.08%)    (*Corresponding)

pdf	Position-aware Graph Transformer for Recommendation Jiajia Chen, Jiancan Wu*, Jiawei Chen, Chongming Gao, Yong Li, Xiang Wang ACM Transactions on Information Systems (TOIS 2025)    (*Corresponding)

pdf	Reinforced Prompt Personalization for Recommendation with Large Language Models Wenyu Mao, Jiancan Wu*, Weijian Chen, Chongming Gao, Xiang Wang, and Xiangnan He ACM Transactions on Information Systems (TOIS 2025)    (*Corresponding)

pdf	Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao, Jiancan Wu*, Haoyang Liu, Yongduo Sui, and Xiang Wang Frontiers of Computer Science (FCS 2025)    (*Corresponding)

In the Year of 2024:

pdf	β-DPO: Direct Preference Optimization with Dynamic β Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu*, Jinyang Gao, Bolin Ding, Xiang Wang, and Xiangnan He NeurIPS 2024 (Accept Rate: 25.8%)    Codes   (*Corresponding)

pdf	Customizing Language Models with Instance-wise LoRA for Sequential Recommendation Xiaoyu Kong, Jiancan Wu*, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, and Xiangnan He NeurIPS 2024 (Accept Rate: 25.8%)   (*Corresponding)

pdf	Text-guided small molecule generation via diffusion model Yanchen Luo, Junfeng Fang, Sihang Li, Zhiyuan Liu, Jiancan Wu, An Zhang, Wenjie Du, and Xiang Wang iScience

pdf	Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning Yuyue Zhao, Jiancan Wu*, Xiang Wang, Wei Tang, Dingxian Wang, and Maarten de Rijke SIGIR 2024 (Full, Accept Rate: 20.1%)    Codes   (*Corresponding)

pdf	MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, and Chang Zhou ACL 2024 (Full, Accept Rate: 21.3%)

pdf	LLaRA: Large Language-Recommendation Assistant Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, and Xiangnan He SIGIR 2024 (Full, Accept Rate: 20.1%)    Codes

pdf	Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, and Xiangnan He SIGIR 2024 (Full, Accept Rate: 20.1%)    Codes

pdf	BSL: Understanding and Improving Softmax Loss for Recommendation Junkang Wu, Jiawei Chen, Jiancan Wu*, Wentao Shi, Jizhi Zhang, and Xiang Wang ICDE 2024 (Full)    Codes    (*Corresponding)

pdf	Masked Graph Modeling with Multi-View Contrast Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, and Xiang Wang ICDE 2024 (Full)    Codes

pdf	Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, and Hui Xiong WSDM 2024 (Full, Accept Rate: 18%)    Codes

pdf	On the Effectiveness of Sampled Softmax Loss for Item Recommendation Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, and Tianyu Qiu ACM Transactions on Information Systems (TOIS 2024)    Codes

pdf	Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, and Tat-Seng Chua ACM Transactions on Knowledge Discovery from Data (TKDD 2024)    Codes

In the Year of 2023:

pdf	Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion Zhengyi Yang, Jiancan Wu*, Zhicai Wang, Xiang Wang, Yancheng Yuan, and Xiangnan He NeurIPS 2023 (Poster, Accept Rate: 26.1%)    Codes    (*Corresponding)

pdf	Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, and Xiangnan He NeurIPS 2023 (Poseter, Accept Rate: 26.1%)    Codes

pdf	Unleashing the Power of Graph Data Augmentation on Covariate Shift Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, and Xiangnan He NeurIPS 2023 (Poster, Accept Rate: 26.1%)    Codes

pdf	A Generic Learning Framework for Sequential Recommendation with Distribution Shifts Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, and Xiang Wang SIGIR 2023 (Full, Accept Rate: 20.1%)    Codes

pdf	GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, and Xiangnan He WWW 2023 (Full, Accept Rate: 19.2%)    Codes

pdf	Adap-τ: Adpatively Modulating Embedding Magnitude for Recommendation Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, and Xiangnan He WWW 2023 (Full, Accept Rate: 19.2%)    Codes

pdf	How graph convolutions amplify popularity bias for recommendation? Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He Frontiers of Computer Science (FCS 2023)    Codes

In the Year of 2022:

pdf	Graph Convolution Machine for Context-aware Recommender System Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, and Xing Xie Frontiers of Computer Science (FCS 2022)    Codes

pdf	Cross Pairwise Ranking for Unbiased Item Recommendation Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, and Ruiming Tang WWW 2022 (Full, Accept rate: 17.7%)    Codes

pdf	Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, and Tat-Seng Chua KDD 2022 (Full, Accept rate: 15.0%)    Codes

In the Year of 2021:

pdf	Self-supervised Graph Learning for Recommendation JiancanWu, XiangWang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, and Xing Xie. SIGIR 2021 (Full, Accept rate: 21%)   • arXiv    • Codes    • Slides

Experiences

Tenure-Track Assistant Professor, University of Science and Technology of China, Nov 2025 - Now

Associate Research Fellow, University of Science and Technology of China, Nov 2024 - Oct 2025

Postdoc Research Fellow, University of Science and Technology of China, June 2022 - Oct 2024 Advisor: Prof. Xiangnan He (LDS: Lab for Data Science)

Research Intern, Tencent Music Entertainment Group, Shenzhen, May 2021 - Sep 2021 Mentor: Norman Bai

Education

University of Science and Technology of China(USTC) Ph.D. in Department of Electronic Engineering and Information Science (6系)      Sep 2019 - Jun 2022, Hefei, Anhui, China Advisor: Prof. Xiangnan He

University of Science and Technology of China(USTC) Master in Department of Electronic Engineering and Information Science (6系)      Sep 2017 - June 2019, Hefei, Anhui, China Advisor: Prof. Feng Wu Mentors: Prof. Cong Shen

University of Science and Technology of China(USTC) Bachelor in Department of Electronic Engineering and Information Science(6系)      Sep 2013 - June 2017, Hefei, Anhui, China Advisor: Prof. Feng Wu

Useful Links

Machine Learning Reading List

Deep Learning Reading List

Last update: Oct 10th, 2025. Webpage template borrows from Xiangnan He.