Yongkang Li 李永康

PhD Student

The University of Amsterdam

About me

I am currently a third year ELLIS Academic Track PhD student at the IR LAB, the University of Amsterdam. I am working with Prof. Evangelos Kanoulas, Prof. Emine Yilmaz and Dr. Panagiotis Eustratiadis. My interests lie in the robust embedding-based knowledge retrieval systems and recommender systems.

Previously, I earned my master’s degree at Southern University of Science and Technology(SUSTech), Department of Computer Science and Engineering, SUSTech-UTokyo Joint Research Center on Super Smart City Lab, where I am supervised by Prof. Xuan Song in SUSTech and Prof. Zipei Fan at the University of Tokyo.

Additionally, I received my B.E. degree from the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications(BUPT), in 2020.

I have also interned at Pinduoduo and worked at TEMU.

I am the reivewer of the following conferences and journals: TKDE, TBD, TNNLS, IPM, TMC, ECIR.

Interests

Robust AI
Information Retrieval
Graph Neural Network
Spatio-temporal Data Science

Education

PhD in Artificial Intelligence, 2023~Now
The University of Amsterdam
MEng in Electronic Science and Technology, 2020~2023
Southern University of Science and Technology
BSc in Information Engineering, 2016~2020
Beijing University of Posts and Telecommunications

Recent News

[2026/04/3] One short paper and two reproducibility papers got accepted by the SIGIR 2026.
[2026/03/17] One paper got accepted by the Expert Systems With Applications Journal.
[2026/01/08] I have been admitted to the ELLIS PhD Program!
[2025/12/16] One paper got accepted by the ECIR 2026, Doctoral Consortium Track.
[2025/11/07] One paper got accepted by the AAAI 2026, Main Technical Track.
[2025/07/03] One paper got accepted by the RecSys 2025, Reproducibility Track.
[2025/06/23] I gave a talk on robust IR at the Glasgow Information Retrieval Group.
[2025/04/08] I won the Best Reproducibility Paper Award at ECIR 2025!
[2025/04/05] One paper got accepted by the SIGIR 2025, Full paper.
[2024/12/16] One paper got accepted by the ECIR 2025, Reproducibility Track.
[2024/12/05] One paper got accepted by the ACM Transactions on Knowledge Discovery from Data (TKDD).
[2024/05/28] One co-authored paper got accepted by the World Wide Web Journal.
[2024/03/13] One co-authored abstract got accepted by the ECIR 2024, see you in Glasgow.
[2023/09/28] Congratulations to myself on successfully being a PhD student. A new life start.
[2023/09/14] Goodbye Pinduoduo and Temu, I have officially left.
[2023/07/11] I joined Temu in Pinduoduo as a Machine Learning Algorithm Engineer.
[2023/06/30] Congratulations to myself on successfully earning a master's degree. I have graduated.
[2022/11/29] One Chinese invention patent has been issued.
[2022/08/02] One paper has been accepted by the CIKM 2022.
[2022/07/31] One paper has been accepted by the World Wide Web Journal.
[2022/07/26] One Chinese invention patent has been issued.
[2022/07/01] I am doing a summer deep learning internship at Pinduoduo.
[2022/04/05] One paper has been accepted by the Geoinformatica.
[2022/03/08] One Chinese invention patent has been issued.

Recent Publications

Quickly discover relevant content by filtering publications.

Kidist Amde Mekonnen, Yongkang Li, Yubao Tang, Simon Lupart, Maarten De Rijke (2026). Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval. SIGIR2026(Reproducibility Paper, Oral).

Arne Eichholtz, Yongkang Li, Jutte Vijverberg, Tobias Groot, Mohammad Aliannejadi (2026). On the Reproducibility of “Hypencoder: Hypernetworks for Information Retrieval”. SIGIR2026(Reproducibility Paper, Oral).

Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas (2026). Spectral Tempering for Embedding Compression in Dense Passage Retrieval. SIGIR2026(Short Paper, Poster).

PDF Code

Peter Atandoh, Yongkang Li, Weikang Guo, Jinyu Guo, Jie Zou (2026). Less is More: Adaptive Prompt Compression and Exemplar Selection for Efficient Few-Shot Sentiment Analysis. ESWA Journal.

PDF DOI

Yuxi Lin, Yongkang Li, Jie Xing, Zipei Fan (2025). Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation. AAAI2026(Full Paper, Poster).

PDF Code DOI

See all publications