Yongkang Li

According to our database, Yongkang Li authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hypencoder Revisited: Reproducibility and Analysis of Non-Linear Scoring for First-Stage Retrieval.

Arne Eichholtz, Yongkang Li, Jutte Vijverberg, Tobias Groot, Mohammad Aliannejadi

CoRR, April, 2026

Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval.

Kidist Amde Mekonnen, Yongkang Li, Yubao Tang, Simon Lupart, Maarten de Rijke

CoRR, April, 2026

On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability.

Yongkang Li, Panagiotis Eustratiadis, Yixing Fan, Evangelos Kanoulas

CoRR, April, 2026

Spectral Tempering for Embedding Compression in Dense Passage Retrieval.

Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas

CoRR, March, 2026

Less is more: Adaptive prompt compression and exemplar selection for efficient few-shot sentiment analysis.

Peter Atandoh, Yongkang Li, Weikang Guo, Jinyu Guo, Jie Zou

Expert Syst. Appl., 2026

Understanding and Enhancing Robustness in Dense Information Retrieval.

Yongkang Li

Proceedings of the Advances in Information Retrieval, 2026

2025

Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks.

Yongkang Li, Zipei Fan, Xuan Song

ACM Trans. Knowl. Discov. Data, April, 2025

Agent-centric Information Access.

Evangelos Kanoulas, Panagiotis Eustratiadis, Yongkang Li, Yougang Lyu, Vaishali Pal, Gabrielle Poerwawinata, Jingfen Qiao, Zihan Wang

CoRR, February, 2025

Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval.

Yongkang Li, Panagiotis Eustratiadis, Simon Lupart, Evangelos Kanoulas

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Rethinking the Privacy of Text Embeddings: A Reproducibility Study of "Text Embeddings Reveal (Almost) As Much As Text".

Dominykas Seputis, Yongkang Li, Karsten Langerak, Serghei Mihailov

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval.

Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas

Proceedings of the Advances in Information Retrieval, 2025

2024

Hyper-relational knowledge graph neural network for next POI recommendation.

Jixiao Zhang, Yongkang Li, Ruotong Zou, Jingyuan Zhang, Renhe Jiang, Zipei Fan, Xuan Song

World Wide Web (WWW), July, 2024

Report on the Search Futures Workshop at ECIR 2024.

Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren, Mohammad Aliannejadi, Negar Arabzadeh, Raman Chandrasekar, Maarten de Rijke, Panagiotis Eustratiadis, William R. Hersh, Jin Huang, Evangelos Kanoulas, Jasmin Kareem, Yongkang Li, Simon Lupart, Kidist Amde Mekonnen, Adam Roegiest, Ian Soboroff, Fabrizio Silvestri, Suzan Verberne, David Vos, Eugene Yang, Yuyue Zhao

SIGIR Forum, June, 2024

2023

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation.

Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song

World Wide Web (WWW), July, 2023

MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction.

Du Yin, Renhe Jiang, Jiewen Deng, Yongkang Li, Yi Xie, Zhongyi Wang, Yifan Zhou, Xuan Song, Jedi S. Shang

GeoInformatica, 2023

Hyper-Relational Knowledge Graph Neural Network for Next POI.

Jixiao Zhang, Yongkang Li, Ruotong Zou, Jingyuan Zhang, Zipei Fan, Xuan Song

CoRR, 2023

2022

Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility.

Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022