I am now a second-year PhD candidate at AML Lab CityU HK supervised by Prof. Xiangyu Zhao. 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
- 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.
- 2024.08: Giving a talk on Multi-domain Recommendation at Huawei Noah's Ark Lab.
- 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
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
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
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.
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.
King William Island, Digital Journal of Global Change Data Repository, 2020.
Pengyue Jia, Jihan Wang, Feng Zhang, Chuang Liu, Ruixiang Shi. Link
Tutorials
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
- 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
- 2024.08, Huawei Noah’s Ark Lab, Multi-domain Recommendation
- 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
- 2023.02 - now, Research Intern, Huawei Noah’s Ark Lab
- 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, Nips
- 2024: KDD, ACM TKDD, CIKM
- 2025: KDD, BigData
Volunteer
- 2024: AAAI, NAACL, KDD [certificate]
🏫 Teaching
- 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.