Jiabin Tang

Jiabin Tang

The University of Hong Kong (HKU)

I am a first-year Ph.D. student majoring in Data Science at The University of Hong Kong (HKU), supervised by Chao Huang.

My research interest includes Graph Neural Networks, Large Language Models and deep learning applications.

🔥 News

  • 🎯 2023.10:  🎉🎉 We release our Graph Large Language Models - GraphGPT with pre-print paper, source code, model and data. Let’s step to Graph Learning in the era of LLM!
  • 2023.10:  🎉🎉 Our paper LLMRec is accepted by WSDM’24! Thanks to Wei Wei and other co-authors!
  • 2023.08:  🎉🎉 Two full papers about spatio-temporal data mining are accepted by CIKM’23. Thanks to all my co-authors and my supervisor!
  • 2023.06:  🎉🎉 I graduated from SWJTU. Nice memories with all my friends, teachers and family!
  • 2022.11:  🎉🎉 I am honored with Cao Jianyou Student Award 2022 (Selected from eight universities, including Southwest Jiaotong University, Tongji University, Central South University, etc. ).
  • 2022.11:  🎉🎉 I am nominated for National Scholarship for Encouragement and Provincial Outstanding Graduates.

📝 Publications

$^{\dagger}$ indicates corresponding author, $^{*}$ indicates equal contribution

🎯 GraphGPT: Graph Instruction Tuning for Large Language Models, [code], [project]

Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang$^{\dagger}$

  • Pre-print, 2023.

LLMRec: Large Language Models with Graph Augmentation for Recommendation, [code], [project]

Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, junfeng wang, Dawei Yin, Chao Huang$^{\dagger}$

  • in Proc. of The ACM International Conference on Web Search and Data Mining (WSDM), 2024. (Oral Presentation)

Spatio-Temporal Meta Contrastive Learning, [code]

Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang$^{\dagger}$

  • in Proc. of The ACM International Conference on Information and Knowledge Management (CIKM), 2023.

Explainable Spatio-Temporal Graph Neural Networks, [code]

Jiabin Tang, Lianghao Xia, Chao Huang$^{\dagger}$

  • in Proc. of The ACM International Conference on Information and Knowledge Management (CIKM), 2023.

Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting

Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du$^{\dagger}$, Jie Hu, Tianrui Li

  • in Proc. of The International Joint Conference on Neural Networks (IJCNN), 2022. (Oral Presentation)

🎖 Honors and Awards

  • Scholarship(Selected)
    • National Scholarship (Two Times): 2020 and 2021
    • Cao Jianyou Student Award: 2022
    • National Scholarship for Encouragement: 2022
    • Provincial Outstanding Graduates: 2023

📖 Educations

  • 2023.09 - 2027.06 (expected), Ph.D. in Data Science, The University of Hong Kong (HKU)

  • 2019.09 - 2023.06, B. Eng in Software Engineering, Southwest Jiaotong University (SWJTU)

💬 Invited Talks

  • 2023.10, Oral presentation at CIKM 2023 about our paper: ‘Spatio-Temporal Meta Contrastive Learning’ and ‘Explainable Spatio-Temporal Graph Neural Networks’.
  • 2022.08, Oral presentation at IJCNN 2022 about our paper: ‘Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting’.

💻 Internships

  • Research Intern
    • Company/Institution: Search Science Team, Baidu Inc.
    • Advisor: Dr. Lei Shi & Dr. Lixin Su
    • Employment period: From 06/2023 to the present
  • Research Intern
    • Company/Institution: Data Intelligence Lab, The University of Hong Kong
    • Advisor: Prof. Chao Huang
    • Employment period: From 01/2022 to the present
  • Research Intern
    • Company/Institution: CCIT Laboratory, Southwest Jiaotong University
    • Advisor: Prof. Tianrui Li & Prof. Shengdong Du
    • Employment period: From 09/2021 to 04/2022