About me

Xiaokun 

Dr. Xiaokun Zhang (张晓堃)
Postdoc at City University of Hong Kong,
E-mail: dawnkun1993@gmail.com
Research Interest: Data Mining, NLP, Recommender Systems.
My Google Scholar
My GitHub

I'm currently a postdoc research fellow at City University of HongKong working with Prof.Chen Ma and Prof. Kede Ma. I obtained my Phd, Master and Bachelor degree from Dalian University of Technology, fortunately supervised by Prof. Hongfei Lin. I also have a wonderful time working with Prof. Fenglong Ma at the Pennsylvania State University

Welcome to any kind of collaborations. Let's do some interesting and meaningful works for the beautiful world!

NEWS!

  • alt text2025.7, One paper about News recommendation is accepted by RecSys25'. Congratulations to Youlin!

  • alt text2025.6, Xiaokun is recognized as Outstanding Reviewer by KDD 2025!

  • alt text2025.5, One paper about session-based recommendation is accepted by Pattern Recognition. Thanks to all collaborators!

  • alt text2025.5, Two papers are accepted by KDD25'. Thanks to all collaborators!

  • alt text2025.4, One Survey paper about side information-driven session-based recommendation is accepted by IEEE TKDE. Thanks to all collaborators!

  • alt text2024.10, Xiaokun obtained the Award of Outstanding Doctoral Thesis of Chinese Information Processing Society (CIPS)! Thank you to everyone who has provided support throughout my doctoral studies!

Selected Publications

  1. IP2: Entity-Guided Interest Probing for Personalized News Recommendation. RecSys 2025, CCF B, full paper. Spotlight oral.

    Youlin Wu, Yuanyuan Sun, Xiaokun Zhang*, Haoxi Zhan, Bo Xu, Liang Yang, Hongfei Lin.

  2. Rethinking Contrastive Learning in Session-based Recommendation. Pattern Recognition. PR 2025, CCF B, [pdf] [code]

    Xiaokun Zhang, Bo Xu, Fenglong Ma, Zhizheng Wang, Liang Yang and Hongfei Lin*.

  3. MedDiTPro: A Prompt-Guided Diffusion Transformer for Multimodal Longitudinal Medical Data Synthesis. KDD 2025, CCF A, full paper.

    Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang*, Fenglong Ma.

  4. Shapley Value-driven Data Pruning for Recommender Systems. KDD 2025, CCF A, full paper.

    Yansen Zhang, Xiaokun Zhang*, Ziqiang Cui, Chen Ma*.

  5. A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective. IEEE Transactions on Knowledge and Data Engineering. TKDE 2025, CCF A, [pdf]

    Xiaokun Zhang, Bo Xu*, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma*, Fenglong Ma.

  6. Commonality and Individuality! Integrating Humor Commonality with Speaker Individuality for Humor Recognition. NAACL 2025, CCF B, full paper, [pdf]

    Haohao Zhu, Junyu Lu, Zeyuan Zeng, Zewen Bai, Xiaokun Zhang*, Liang Yang, Hongfei Lin.

  7. Disentangling ID and Modality Effects for Session-based Recommendation. SIGIR 2024, CCF A, full paper. Best paper nominees,[pdf] [code] [zhihu]

    Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin* and Fenglong Ma.

  8. FineRec: Exploring Fine-grained Sequential Recommendation. SIGIR 2024, CCF A, full paper. [pdf] [code] [zhihu]

    Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin* and Fenglong Ma.

  9. Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Transactions on Information Systems. TOIS 2023, CCF A, [pdf] [code]

    Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin and Hongfei Lin*.

  10. Beyond Co-occurrence: Multi-modal Session-based Recommendation. IEEE Transactions on Knowledge and Data Engineering. TKDE 2023, CCF A, [pdf] [code] [zhihu]

    Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang and Hongfei Lin*.

Note: * indicates the corresponding author.Full list of publications in Google Scholar.

Academic Service

Conference PC Member

  • AAAI 2026&2025&2024&2023, KDD 2026&2025, WSDM 2026, SIGIR-AP 2025, MM 2025, EMNLP 2025&2023, SIGIR 2025&2023, ACL 2025&2023, TheWebConf 2025&2024, COLING 2025&2024&2022, DASFAA 2024, CIKM 2024, etc.

Journal Reviewer

  • TKDE, TOIS, TNNLS, IPM, TASLP, KAIS, KBS, Multimedia Systems, ESWA, Applied Intelligence, etc.

Invited Talk

  • 2025, June, Multimodal recommendations and Student Panel at YSSNLP 2025, Dalian China.

  • 2024, July, Multimodal recommendations at VALSE Webinar, Online.

Experiences

-> 2024.7-Now, Postdoc, Department of Computer Science, City University of Hong Kong.

-> 2020.9-2024.6, PhD, School of Computer Science and Technology, Dalian University of Technology.

-> 2023.10-2024.5, Visiting scholar, College of Information Sciences and Technology , Pennsylvania State University.

-> 2018.9-2020.6, Master, School of Computer Science and Technology, Dalian University of Technology.

-> 2016.6-2018.6, Software Engineer, working in a Startups.

-> 2012.9-2016.6, Bachelor Degree, School of Computer Science and Technology, Dalian University of Technology

Awards

  • Outstanding Reviewer at KDD 2025.

  • Outstanding Doctoral Thesis of Chinese Information Processing Society (CIPS), 2024.

  • Best paper nominees at SIGIR 2024.

  • Outstanding Graduates, Liaoning Province, 2024.

  • Outstanding Graduates, Dalian University of Technology, 2024.

  • National Scholarship for Doctoral Students, 2023.

  • Excellent Doctoral Candidate of Dalian University of Technology, 2021, 2022 and 2023.

  • IP&M 2022 Ph.D. Paper Award Honorable Mentions.

  • Outstanding Student Prize Scholarship of Baosteel, 2022.

  • Excellent postgraduate of Dalian University of Technology, 2019.

  • First Prize Scholarship for Doctoral Candidate of Dalian University of Technology, 2022.

  • First Prize Scholarship for Postgraduate of Dalian University of Technology, 2018, 2019 and 2020.

Vistors

Updated at June, 2025


A brief cv.