I am now a third-year PhD candidate at AML Lab CityU HK supervised by Prof. Xiangyu Zhao and a visiting scholar at UW Madison supervised by Prof. Sharon Yixuan Li. Before that, I graduated from Zhejiang University (ZJU) with a bachelor’s degree in Geographic Information Science and from Hong Kong University (HKU) with a master’s degree in Computer Science. My research interest includes Recommender System, Information Retrieval, Large Language Models, and GeoAI.
🔥 News
- 2025.07: Our paper Agent4Ranking has been accepted to TOIS, congrats to Xiaopeng!
- 2025.06: 🌍GeoArena has been launched! Your feedback matters!
- 2025.05: Our paper RADIO and SEED are accepted to ACL'25.
- 2025.05: Two papers are accepted to KDD'25!
- 2025.05: Our tutorial and survey for LLM Enhanced Recommender System got accepted to KDD'2025!
- 2025.04: One paper got accepted to SIGIR'25.
- 2025.03: I arrive in Madison and start my visiting life!
- 2025.02: Our Workshop on AgentIR is accepted to SIGIR'25! We welcome submissions and appreciate your attention.
- 2024.12: Our paper TAPO is accepted to ICASSP'25!
- 2024.12: One paper is accepted to AAAI'25!
- 2024.12: Two tutorials are accepted by WWW'25! See Joint Modeling in Deep Recommender Systems and Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era
- 2024.10: I'm Glad to receive the NeurIPS 2024 Scholar Award!
- 2024.09: Our paper G3 is accepted to NeurIPS'24!
- 2024.09: Recieving Outstanding Academic Performance Award (OAPA) from CityUHK.
- 2024.07: Giving a talk on LLM for Query Expansion in IR at DataFun.
- 2024.07: Our team AML_Lab@CityU got second place🥈 in 2 tracks, third place 🥉 in 3 tracks, and student award in 2 tracks, Overall 2/508, and is awarded $8750 in Amazon KDD CUP 2024! A big shoutout to the awesome teamwork with my teammates Jingtong, Xiaopeng, Zixuan, and Yiyao!
- 2024.07: I'm honored to receive the KDD'24 student travel award.
- 2024.05: Our paper ERASE got accepted by KDD'24 ADS Track.
- 2024.05: I am honored to be selected as a virtual volunteer for NAACL'2024.
- 2024.03: I will serve as the PC member in CIKM'24.
- 2024.03: Our paper MILL got accepted by NAACL'2024 (Main Conference)
- 2024.03: Passed my qualifying examination!
- 2023.12: I am honored to receive the AAAI'24 student scholarship
- 2023.12: Accepted as reviewer of ACM Transactions on Knowledge Discovery from Data (ACM TKDD)
- 2023.12: One paper accepted by AAAI'24
- 2023.08: I will serve as the PC member in AAAI'24
- 2023.04: Our tutorial on Joint Modeling in Recommendations is accepted by IJCAI'23
- 2023.01: Start my PhD study at CityU.
📝 Publications
Conference and Journal Publications
First or Co-First Work
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation
Derong Xu*, Pengyue Jia*, Xiaopeng Li, Yingyi Zhang, Maolin Wang, Qidong Liu, Xiangyu Zhao, Yichao Wang, Huifeng Guo, Ruiming Tang, Enhong Chen, Tong Xu
GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
Pengyue Jia, Seongheon Park, Song Gao, Xiangyu Zhao, Yixuan Li
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems
Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
Second Place Overall Solution for Amazon KDD Cup 2024
Pengyue Jia*, Jingtong Gao*, Xiaopeng Li*, Zixuan Wang*, Yiyao Jin*, Xiangyu Zhao
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
Paper | Code | MP16-Pro Dataset |
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
Pengyue Jia*, Yejing Wang*, Zhaocheng Du*, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
Pengyue Jia, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Huifeng Guo, Ruiming Tang.
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin.
Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model
Pengyue Jia, Ling Chen, Dandan Lyu.
Other Work
- 7. Agent4ranking: Semantic robust ranking via personalized query rewriting using multi-agent llm, Xiaopeng Li, Lixin Su, Pengyue Jia, Xiangyu Zhao, Suqi Cheng, Junfeng Wang, Dawei Yin, TOIS.
- 6. Stepwise Reasoning Error Disruption Attack of LLMs, Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu, ACL'25 Main.
- 5. Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation, Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao, KDD'25.
- 4. Large Language Model Enhanced Recommender Systems: A Survey, Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian, KDD'25.
- 3. Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models, Yuhao Wang, Junwei Pan, Xiangyu Zhao, Pengyue Jia, Wanyu Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, SIGIR'25.
- 2. TAPO: TASK-REFERENCED ADAPTATION FOR PROMPT OPTIMIZATION, Wenxin Luo*, Weirui Wang*, Xiaopeng Li*, Weibo Zhou, Pengyue Jia, Xiangyu Zhao, ICASSP'25.
- 1. SIGMA: Selective Gated Mamba for Sequential Recommendation, Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao, AAAI'25.
Tutorials and Workshops
AgentIR: 2nd Workshop on Agent-based Information Retrieval
Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era
Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang and Christian S. Jensen
Joint Modeling in Recommendations: Foundations and Frontiers
Xiangyu Zhao, Yichao Wang, Bo Chen, Pengyue Jia, Yuhao Wang, Jingtong Gao, Huifeng Guo, Ruiming Tang
🎖 Honors and Awards
- 2024.10 NeurIPS 2024 Scholar Award, Granted by NeurIPS 2024
- 2024.08 Outstanding Academic Performance Award (OAPA), Granted by CityUHK
- 2024.07 Second place🥈 in 2 tracks, third place🥉 in 3 tracks, student awards in 2 tracks in Amazon KDD CUP 2024, Overall 2/508 teams, Awarded $8750, Granted by Amazon [link] | [certificate]
- 2024.07 KDD24 student travel award, Granted by KDD
- 2023.12 AAAI24 student scholarship, Granted by AAAI
- 2020.12 Academic Excellence Award, Granted by Zhejiang University
- 2020.06 Second Place🥈 in LA COVID-19 Computational Challenge, Granted by RMDS & The Government of LA
📖 Educations
- 2025.03 - now, Visiting PhD Student in Computer Science, University of Wisconsin-Madison
- 2023.01 - now, PhD candidate in Data Science, AML lab, City University of Hong Kong
- 2021.09 - 2022.12, MSc in Computer Science, The University of Hong Kong
- 2017.09 - 2021.06, BSc in Geographic Information Science, Zhejiang University
💬 Invited Talks
- 2024.07, DataFun Open Class, LLM for Query Expansion in IR
- 2020.11, IM Data 2020, Solution on LA COVID-19 Computational Challenge
💻 Internships & Exchange
- 2023.06 - now, Research Intern, Baidu Search Science Team
- 2022.06 - 2022.12, Ad Recommendation Algorithm Intern, Meituan DaoDian Business Group, Shanghai, China.
- 2020.10 - 2021.01, Data Analysis Intern, Zhejiang Lab, Hangzhou, China.
- 2019.07 - 2019.08, Summer Session Student, Department of Geography & Geographic Information Science, University of Illinois Urbana-Champaign, USA.
- 2018.07 - 2018.08, Summer Session Student, Shizuoka University, Japan.
✏️ Services
Reviewer
- 2023: KDD, Recsys, NeurIPS
- 2024: KDD, ACM TKDD, CIKM
- 2025: KDD, BigData, WWW, ARR, NeurIPS, ACM TKDD
Volunteer
- 2024: AAAI, NAACL, KDD [certificate]
- 2025: WWW, ACL
🏫 Teaching
- 2025.01 - 2025.06, Teaching Assistant, SDSC 6001 Statistical Machine Learning II.
- 2024.09 - 2024.12, Teaching Assistant, SDSC 5001 Statistical Machine Learning I.
- 2024.01 - 2024.06, Teaching Assistant, SDSC 6001 Statistical Machine Learning II.
- 2023.09 - 2023.12, Teaching Assistant, SDSC 5001 Statistical Machine Learning I.