News
25 January 2023
One first-author full paper is accepted by WWW'2023, on hard negative sampling for Recommendation. Thanks for all co-authors!
15 August 2021
One full paper is accepted by CIKM'2021, on disentangled graph attention network for Recommendation. Thanks for all co-authors!
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Wentao Shi
Master's Student
School of Information Science and Technology • GitHub • Google Scholar • CV
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I am a 3rd-year PhD's student at the USTC Lab for Data Science, supervised by Prof. Xiangnan He and Prof. Fuli Feng. I received my bachelor's degree in the School of Information Science and Technology at USTC. Now, my research interest lies in Large Language Model based Agent, Out-of-Distribution Generalization and Recommendation System. Moreover, I have served as invited reviewer for ACM TOIS and IEEE TKDE, PC memeber for WSDM and AAAI.
Publications
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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 |
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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 |
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BSL: Understanding and Improving Softmax Loss for Recommendation
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang ICDE 2024 (Full) pdf |
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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 |
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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 |
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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 |
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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
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Research Intern, Meituan, Beijing, China, September 2020 - September 2021 Advisor: Prof. Xiangnan He (USTC), Prof. Jiawei Chen (Zhejiang University), Dr. Xuezhi Cao (Meituan) |
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Summer Research Intern, University of Technology Sydney, Sydney, Australia, July 2019 - September 2019 Advisor: Prof. Min Xu (UTS) |
Education
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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 |
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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
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Invited Reviewer for ACM Transactions on Information Systems (TOIS), and IEEE Transactions on Knowledge and Data Engineering (TKDE). |
Awards
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First Class Academic Scholarship, 2021 & 2022
- USTC, China |
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Guo Moruo Scholarship, 2021
- USTC, China (Highest Scholarship in USTC, for top 1% students) |
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Huawei Scholarship, 2019
- Huawei Technologies Co Ltd, China |
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National Scholarship, 2018
- Ministry of Education of China, China (for top 2% students) |
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Tang Lixin Scolarship, 2018
- Tang Lixin Education Development Fund, China (for top 2% students) |
Useful Links
| Prof. Xiangnan He | |
Webpage template borrows from prof. Xiangnan He.