I am a third-year Ph.D. student majoring in Data Science at The University of Hong Kong (HKU), supervised by Prof. Chao Huang and Kao, Benjamin C.M. Also, I am a co-founder of Novix to democratize insights and innovation for everyone. Before that, I am a core contributor of Kimi-Researcher at Moonshot AI, to explore end-to-end RL training for LLM agents.

My research interest includes Language Models, Language Agents, and Post-training for Language Models. I have published some papers at the top international AI conferences such as NeurIPS, KDD, SIGIR, CIKM, WWW and so on. I am also the open-source enthusiast with project like AutoAgent (7.7k🌟) and AI-Researcher (3.5k🌟)

🔥 News

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2025.09: 🎉🎉 Our AI-Researcher is accepted by NeurIPS'25 as Spotlight! See you in San Diego, USA!
2025.09: 🚀🚀 We launched Novix, the world's first production-ready AI Co-Scientist Platform for automated scientific discovery. Join our public beta: 🏠https://novix.science/!
2025.06: 🎯📢 We release Kimi-Researcher with End-to-End RL Training for Emerging Agentic Capabilities. Check out more details: 🏠https://moonshotai.github.io/Kimi-Researcher/. I'm honored to be a core contributor!
2025.05: 📢📢 We release our AI-Researcher paper. An end-to-end automated scientific discovery engine!
2025.03: 🎯📢 We release AI-Researcher, an End-to-End Automated Scientific Discovery Engine with source code. Let's automate scientific research!
2025.02: 🎯📢 We release our Fully-Automated and Zero-Code LLM Agent Framework - AutoAgent with paper and source code. Achieved open-source SOTA on GAIA benchmark!
2024.07: 🎉🎉 Our EasyST is accepted by CIKM'24 in the Full Research Paper track (~23% acceptance rate). Thanks to all co-authors as well as my supervisor!
2024.07: 🇪🇸🏅 I'm honored to receive the KDD'24 student travel award.
2024.03: 🎉🎉 Our HiGPT is accepted by KDD'24 in the Research Track (~20% acceptance rate), UrbanGPT is accepted by KDD'24 in the Applied Data Science Track (~20% acceptance rate) and LLM4Graph is accepted by KDD'24 in the Lecture-Style Track Tutorial. Check out more about HiGPT : 🏠https://higpt-hku.github.io/, UrbanGPT : 🏠https://urban-gpt.github.io/ and LLM4Graph : 🏠https://github.com/HKUDS/Awesome-LLM4Graph-Papers. Thanks to Zhonghang, Xubin and other co-authors as well as my supervisor!
2024.03: 🎯 🎉🎉 Our GraphGPT is accepted by SIGIR'24 in the Full paper track (20.1% acceptance rate). Check out more about GraphGPT : 🏠https://graphgpt.github.io/. Thanks to all my co-authors and my supervisor!
2024.03: 🎯 🎙️🎙️ I gave a presentation titled "Graph Language Models" on 24rd March 2024 in Talk on MLL to introduce our GraphGPT , HiGPT and UrbanGPT . Please check out this video !
2024.02: 🎯 📢📢 We release our Heterogeneous Graph Language Model - HiGPT with pre-print paper, source code, model. Goodbye, homogeneous graphs! Hi, heterogeneous graph!
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 !
2024.03: 🎯 📢📢 We release our Spatio-Temporal Large Language Models - UrbanGPT with pre-print paper, source code, model and data. Keep going towards smart city in the era of LLMs!
2024.02: 🎉🎉 Our paper PromptMM is accepted by WWW'24 ! Thanks to Wei Wei and other co-authors!
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

Conference and Journal Publications

NeurIPS 2025

🎯AI-Researcher: Autonomous Scientific Innovation, [code]

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

in Proc. of Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

🌟 A production-ready version: https://novix.science/chat 🌟

🎯AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents, [code]

Jiabin Tang, Tianyu Fan, Chao Huang$^{\dagger}$

🎯Kimi-Researcher: End-to-End RL Training for Emerging Agentic Capabilities

Jiabin Tang as a Core Contributor of Kimi-Researcher Team

🌟 A frontier end-to-end agentic RL solution benchmarked against OpenAI Deep Research. 🌟

SIGIR 2024

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

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

in Proc. of Special Interest Group on Information Retrieval (SIGIR), 2024.

🌟 (Top-2 Most Cited Paper: 2 / 159 Accepted Papers) 🌟

KDD 2024

🎯HiGPT: Heterogeneous Graph Language Model, [code], [project]

Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang$^{\dagger}$

in Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.

🌟 (Top-5 Most Cited Paper: 5 / 411 Accepted Papers) 🌟

KDD 2024

🎯UrbanGPT: Spatio-Temporal Large Language Models, [code], [project], [video]

Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang$^{\dagger}$

in Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.

🌟 (Top-1 Most Cited Paper at ADS Track: 1 / 148 Accepted Papers) 🌟

WSDM 2024

🎯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)

🌟 (Top-1 Most Cited Paper: 1 / 112 Accepted Papers) 🌟

CIKM 2024

EasyST: A Simple Framework for Spatio-Temporal Prediction, [code]

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

in Proc. of The ACM International Conference on Information and Knowledge Management (CIKM), 2024.

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning, [code]

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

in Proc. of The Web Conference (WWW), 2024.

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)

Survey

KDD 2024

A Survey of Large Language Models for Graphs, [code]

Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla, Chao Huang$^{\dagger}$

in Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.

Tutorials

&Large Language Models for Graphs: Progresses and Directions, [code], [project]

Chao Huang$^{\dagger}$, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla

in Proc. of The Web Conference (WWW), 2024 and ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.

🎖 Honors and Awards

Academic Awards
- KDD 2024 Student Travel Award
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

2024.03: Giving a presentation titled “Graph Language Models” on 24rd March 2024 in Talk on MLLM to introduce our GraphGPT, HiGPT and UrbanGPT. video
2023.12, Sharing our ‘GraphGPT: Graph Instruction Tuning for Large Language Models’ online in the Bilibili Channel AITIME论道, video
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’.

🧑‍💻 Service

As an organizer of Talk on MLLM platform.
Conference Reviewers:
- KDD, CIKM: 2024
Journal Reviewers:
- TNNLS

💻 Internships

Research Intern
- Company/Institution: RL Team, Moonshot AI.
- Advisor: Flood Sung
- Employment period: From 02/2025 to 08/2025
Research Intern
- Company/Institution: Search Science Team, Baidu Inc.
- Advisor: Dr. Lei Shi & Dr. Lixin Su
- Employment period: From 06/2023 to 08/2023
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