Publications

K-order Ranking Preference Optimization for Large Language Models Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng, ACL Findings 2025    pdf

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, ACL Findings 2025    pdf

Flow-guided Fine-Tuning for Diverse LLM-based Recommenders Chongming Gao, Mengyao Gao, Chenxiao Fan, Shuai Yuan, Wentao Shi, Xiangnan He, SIGIR 2025    pdf

Direct Multi-Turn Preference Optimization for Language Agents Wentao Shi*, Mengqi Yuan*, Junkang Wu, Qifan Wang, Fuli Feng, EMNLP Main 2024    pdf

Large Language Models are Learnable Planners for Long-Term Recommendation Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng, SIGIR 2024(Full)    pdf  Codes

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation Wentao Shi, Wang Chenxu, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He WWW 2024 (Full)    pdf  Codes

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

Discriminative-Invariant Representation Learning for Unbiased Recommendation Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He IJCAI 2023 (Full, Accept Rate: 15.0%)    pdf

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

On the Theories Behind Hard Negative Sampling for Recommendation Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, & Xiangnan He WWW 2023 (Full, Accept Rate: 19.2%)    pdf  Codes   Slides

DisenKGAT: Knowledge graph embedding with disentangled graph attention network Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, & Xiangnan He CIKM 2021 (Full, Accept Rate: 21.3%)    pdf  Codes

Experiences

Visiting Scholar , Carnegie Mellon University, Pittsburgh, The United States, September 2024 - May 2025 Advisor: Prof. Chenyan Xiong (CMU), Prof. Xiangnan He (USTC), Prof. Fuli Feng (USTC)

Research Intern, Meituan, Beijing, China, September 2020 - September 2021 Advisor: Prof. Xiangnan He (USTC), Prof. Jiawei Chen (Zhejiang University), Dr. Xuezhi Cao (Meituan)

Summer Research Intern, University of Technology Sydney, Sydney, Australia, July 2019 - September 2019 Advisor: Prof. Min Xu (UTS)

Education

University of Sicence and Technology of China (USTC) Master's student in Electronic and Information Engineering, School of Information Science and Technology Sep 2021 - Jul 2024 (expected), Hefei, China Advisor: Prof. Xiangnan He & Prof. Fuli Feng

University of Sicence and Technology of China (USTC) Bachelor in Electronic and Information Engineering, School of Information Science and Technology Sep 2017 - Jul 2021, Hefei, China

Services

Invited Reviewer for ACM Transactions on Information Systems (TOIS), and IEEE Transactions on Knowledge and Data Engineering (TKDE).

Awards

First Class Academic Scholarship,  2021 & 2022    - USTC, China

Guo Moruo Scholarship,  2021    - USTC, China (Highest Scholarship in USTC, for top 1% students)

Huawei Scholarship,  2019    - Huawei Technologies Co Ltd, China

National Scholarship,  2018    - Ministry of Education of China, China (for top 2% students)

Tang Lixin Scolarship,  2018    - Tang Lixin Education Development Fund, China (for top 2% students)

Useful Links

Prof. Xiangnan He