Biography
I am currently pursuing my PhD in the Department of Computer Science at Emory University, where I am fortunated to be advised by Dr. Liang Zhao. Prior to this, I earned my Bachelor degree in Software Engineering from Tsinghua University in 2022. I worked at the Data Mining Group at School of Software, Tsinghua University, supervised by Dr. Chunping Li. In industry, I worked as an AI4Science research intern at Merck in 2024 and Machine Learning Engineer Intern at DiDi in 2021.
My research interest mainly lies in Graph Learning, LLMs, Generative AI and AI4Science.
🗣️ I am actively seeking for research intern / MLE intern position at 25 Summer. Let me know if there are any opportunities!
Email / Google Scholar / Linkedin
News
[Aug 2024] Our work on explaining Text-Attributed Graph learning models is available! Find it at Preprint
[Aug 2024] I just finished my summer intern journey at Merck Research Laboratories. Many thanks to my fantastic mentors Dr. Peter Zhang and Dr. Kevin Spiekermann!
[Jul 2024] Our paper Distilling Large Language Models for Text-Attributed Graph Learning is accepted by CIKM’24!
[May 2024] One co-author paper accepted to IJCAI 2024.
[May 2024] One co-author paper accepted to ACL 2024 Findings.
[Nov 2023] I serve as a reviewer for CVPR 2024.
[Oct 2023] I serve as a co-organizer for LLMs4Bio workshop at AAAI 2024.
[Jul 2023] I serve as a PC member for DLG-KDD 23.
Selected Preprints
[2024] TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models (PDF)
Bo Pan, Zhen Xiong, Guanchen Wu, Zheng Zhang, Yifei Zhang, Liang Zhao
arXiv preprint arXiv:2410.15268
[2024] GRAG: Graph Retrieval-Augmented Generation (PDF)
Y Hu, Z Lei, Z Zhang, B Pan, C Ling, L Zhao
arXiv preprint arXiv:2405.16506
[2023] Controllable Data Generation Via Iterative Data-Property Mutual Mappings (PDF)
Bo Pan, Muran Qin, Shiyu Wang, Yifei Zhang, Liang Zhao
arXiv preprint arXiv:2310.07683
[2023] SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation (PDF)
Bo Pan, Zhenke Liu, Yifei Zhang, Liang Zhao
arXiv preprint arXiv:2310.07698
Selected Publications
Distilling Large Language Models for Text-Attributed Graph Learning (PDF)
Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)
ELAD: Explanation-Guided Large Language Models Active Distillation (PDF)
Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings)
Visual Attention-Prompted Prediction and Learning (PDF)
Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Xiaofeng Yang, Liang Zhao
The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
MAGI: Multi-Annotated Explanation-Guided Learning
Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023)
Controllable Data Generation by Deep Learning: A Review (PDF)
Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Liang Zhao
ACM Computing Surveys (CSUR)
Property-controllable generation of quaternary ammonium compounds (PDF)
Bo Pan, Yinkai Wang, Xuanyang Lin, Muran Qin, Yuanqi Du, Shiva Ghaemi, Aowei Ding, Shiyu Wang, Saleh Alkhalifa, Kevin Minbiole, William M Wuest, Ashley Petersen, Austin Leitgeb, Amarda Shehu, Liang Zhao
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Multi-objective Deep Data Generation with Correlated Property Control. (PDF)
Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, Bill Wuest, Amarda Shehu, Liang Zhao.
The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022)