Guibin Zhang

Undergraduate Student
Tongji University
bin2003 (at) tongji.edu.cn

About Me

I am a 4^th-year undergraduate student majoring in Data Science in the School of Electronic and Information Engineering, Tongji University.

Research Interests

Collective Intelligence: multi-agent communication & collaboration
Efficient AI: sparsity, model lightweighting, LLM pruning
Data-centric AI: data selection, data pruning, data cleaning
Data Mining: graph learning, spatio-temporal mining, graph sparsification

News

[11/2024] 🎉 DynST are accepted to KDD'25!
[11/2024] I was invited to serve as a reviewer for TNNLS!
[10/2024] I was invited to serve as a reviewer for WWW'25 and AISTATS'25!
[09/2024] 🎉 GDeR and MolPeg are accepted to NeruIPS'24!
[08/2024] I was invited to serve as a reviewer for ICLR'25!
[07/2024] I was invited to serve as a reviewer for DMLR!
[06/2024] 🎉 GIBE is accepted to TKDE!
[06/2024] 🏆 I received the SenseTime Scholarship (25 Students nation-wide)!
[05/2024] I was invited to serve as a reviewer for NeurIPS'24!
[05/2024] I am joining IDEA FinAI as a research intern!
[05/2024] 🎉 Snowflake Hypothesis and Heterophilic SnoH are accepted to KDD'24!
[05/2024] 🎉 GST is accepted to ICML'24!
[04/2024] 🏆 National Champion in SAS Data Analysis Competition!
[03/2024] 🎉 Graph OOD is accepted to KBS!
[02/2024] I was invited to serve as a reviewer for KDD'24 and ACM MM'24!
[01/2024] I was invited to serve as a reviewer for ICML'24!
[01/2024] 🎉 PhysicNet is accepted to TKDE!
[01/2024] 🎉 EXGC is accepted to WWW'24!
[01/2024] 🎉 AdaGLT and NuwaDynamics are accepted to ICLR'24!

Selected Publications (Full List)

ICLR'24

Graph Lottery Ticket Automated

Guibin Zhang†, Kun Wang†, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng*, Yuxuan Liang*

International Conference on Learning Representations (ICLR), 2024.

PDF Code BibTex

ICML'24

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Guibin Zhang†, Yanwei Yue†, Kun Wang*, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen*

International Conference on Machine Learning (ICML), 2024.

PDF Code BibTex

NeurIPS'24

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning

Guibin Zhang†, Haonan Dong†, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng*, Kun Wang*

Annual Conference on Neural Information Processing Systems (NeruIPS), 2024.

PDF Code

KDD'24

The Heterophily Snowflake Hypothesis: Training and Empowering GNN for Heterophilic Graphs

Kun Wang†, Guibin Zhang† (co-first), Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang

Knowledge Discovery and Data Mining (KDD), 2024.

PDF Code BibTex

TKDE

Rethinking the Regularization in Mask-based Explanation Methods for Graph Neural Networks

Junfeng Fang†, Guibin Zhang† (co-first) , Kun Wang*, Wenjie Du, Yifan Duan, Yuankai Wu, Roger Zimmermann, Xiaowen Chu, Yuxuan Liang*

Transactions on Knowledge and Data Engineering (TKDE), 2024. (CCF A; IF:8.92)

ICLR'24

NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling

Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang

International Conference on Learning Representations (ICLR), 2024.

PDF BibTex Spotlight Presentation

KDD'24

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field

Kun Wang†, Guohao Li†, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang*, Yang Wang*

Knowledge Discovery and Data Mining (KDD), 2024.

PDF BibTex

Working Experience

HKU

CS Department, The University of Hong Kong

Research Assistant, 2024.7~2024.9
Research Topic: Graph Database and Graph-centric AI

IDEA

FinAI, The International Digital Economy Academy (IDEA)

Research Intern, 2024.5~2024.7
Research Topic: Graph Neural Networks and Financial Applications

HKUST

CityMind Lab, The Hong Kong University of Science and Technology (GZ)

Research Intern, 2023.7~2024.6
Advisor: Prof. Yuxuan Liang

Tongji

FinTech Lab, Tongji University

Research Intern, 2022.11~Present
Advisor: Prof. Dawei Cheng

Honors & Awards

National Scholarship (Award Rate: 0.2% nation-wide), 2021-2022
Merit Student in Tongji University, 2021-2022
the 7th Place in CCF Sentence Commutation Prediction Competition, 2022
Third Prize of Asia and Pacific Mathematical Contest in Modeling, 2023
First Prize of National College Statistical Modeling Competition(Shanghai), 2023
Second Prize in China Undergraduate Mathematical Contest (Shanghai), 2023
National Champion (No.1) in the SAS Data Analysis Competition, 2024
SenseTime Scholarship (25 Students nation-wide), 2024

Departmental & Academic Service

Conference Reviewer:
- 2024: ICML 2024, ACM MM 2024, KDD 2024, NeurIPS 2024
- 2025: AISTATS 2025, WWW 2025, ICLR 2025
Journal Reviewer:
- TKDE, DMLR, TNNLS
Tongji University Mathematical Modeling Association
- Association Officer, 2022-2023
- President of the association in Jiading Campus, 2023-present

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