Wooseong Yang

About

I am a fourth-year Ph.D. student in the Department of Computer Science at the University of Illinois at Chicago, advised by Prof. Philip S. Yu, and a member of the Big Data and Social Computing Lab. My research interests center on retrieval-augmented generation (RAG), LLM agents, and their applications in recommender systems, though not limited to them.

I am also collaborating with W.W. Grainger, Inc. on retrieval-augmented generation for large-scale industrial product search.

Previously, I earned my M.S. in Computer Science at UT Dallas under Prof. Latifur Khan, working on domain-specific language models, and my M.S./B.S. in Industrial Engineering at Sungkyunkwan University under Prof. Mye Sohn, focusing on recommender systems.

For full details on my research and publications, see my CV.

πŸ“’ News

  • Aug 2026 – Agent surevey "A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents" is accepted to TMLR πŸŽ‰
  • Apr 2026 – SUPT "Subgraph-level Universal Prompt Tuning" is accepted to Information Sciences πŸŽ‰
  • Feb 2026 – RECODE-H "RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback" is accepted to ICLR 2026 πŸŽ‰
  • Nov 2025 – CLIP-SBR "Cluster-aware Item Prompt Learning for Session-based Recommendation" is accepted to BigData 2025 LLMs4All πŸŽ‰
  • Nov 2025 – ColdRAG "Adaptive Candidate Retrieval with Dynamic Knowledge Graph Construction for Cold-Start Recommendation" preprint is available on arXiv πŸ“„
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  • Sep 2025 – LLMInit "LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation" is accepted to EMNLP 2025 Industry Track πŸŽ‰

Education

  • Ph.D. in Computer Science
    University of Illinois at Chicago (UIC)
    Chicago, IL, US · Aug. 2023 – (ongoing)
  • M.S. in Computer Science
    University of Texas at Dallas (UTD)
    Richardson, TX, US · Aug. 2021 – Aug. 2023
  • M.S. in Industrial Engineering
    Sungkyunkwan University
    Seoul, Republic of Korea · Mar. 2019 – Feb. 2021
  • Visiting Scholar, LTI
    Carnegie Mellon University
    Pittsburgh, PA, US · Jan. 2020 – Jul. 2020
  • B.S. in Systems Management Engineering
    Sungkyunkwan University
    Seoul, Republic of Korea · Mar. 2013 – Feb. 2019

Work Experience

  • Industry Research Collaborator
    W.W. Grainger, Inc. (Fortune 500)
    Chicago, IL, USA · Jan. 2026 – (ongoing)
  • Research Assistant
    University of Illinois at Chicago (UIC)
    Chicago, IL, USA · Aug. 2023 – (ongoing)
  • Teaching Assistant
    University of Texas at Dallas (UTD)
    Dallas, TX, USA · Jan. 2023 – May. 2023
  • Undergraduate Intern
    MyCelebs
    Seoul, Republic of Korea · Jun. 2016 – Aug. 2016

Publications

First Author

  • XBridge: Entity-Grounded Latent Bridge for Heterogeneous LLM Communication Preprint
    Wooseong Yang, Wei-Chieh Huang, Weizhi Zhang, Yu Wang, Philip S. Yu, Junhyun Lee.
  • Adaptive Candidate Retrieval with Dynamic Knowledge Graph Construction for Cold-Start Recommendation Preprint
    Wooseong Yang, Weizhi Zhang, Yuqing Liu, Yuwei Han, Yu Wang, Junhyun Lee, Philip S. Yu.
    πŸ“„ Paper
  • Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback IEEE CogMI 2025
    Weizhi Zhang*, Wooseong Yang*, Yuxin Cui, Zhaohui Guo, Hins Hu, Liangwei Yang, Philip S. Yu, et al. (*Equal contribution.)
    πŸ“„ Paper
  • Cluster-aware Item Prompt Learning for Session-based Recommendation IEEE Big Data 2025
    Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu.
    πŸ“„ Paper
  • ConfliBERT-Spanish: A Pre-trained Spanish Language Model for Political Conflict and Violence IEEE CiSt 2023
    Wooseong Yang, Sultan Alsarra, Luay Abdeljaber, Javier Osorio, Latifur Khan, Patrick Brandt, Vito D’Orazio, et al.
    πŸ“„ Paper

Collaborative Publications

  • A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents TMLR 2026
    Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Wooseong Yang, Philip S. Yu, et al.
    πŸ“„ Paper
  • Subgraph-level Universal Prompt Tuning Information Sciences
    Junhyun Lee, Wooseong Yang, Jaewoo Kang.
    πŸ“„ Paper
  • RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback ICLR 2026
    Chunyu Miao, Henry Peng Zou, Yanning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Philip S. Yu, et al.
    πŸ“„ Paper
  • LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation EMNLP 2025 Industry
    Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu.
    πŸ“„ Paper
  • ConfliBERT-Arabic: A Pre-trained Arabic Language Model for Politics, Conflicts and Violence RANLP 2023
    Sultan Alsarra, Luay Abdeljaber, Wooseong Yang, Niamat Zawad, Latifur Khan, Patrick Brandt, Javier Osorio, Vito D’Orazio.
    πŸ“„ Paper
  • Homogeneous Ensemble Instance Intervals Determination Method of Time Series Data Based on Granular Computing IJMLC 2020
    Jaewoong Kang, Wooseong Yang, Mye Sohn.
    πŸ“„ Paper
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