Bo Pan 潘嶓
PhD Candidate @ Emory Computer Science

I am a third-year PhD student at the Department of Computer Science at Emory University, where I am fortunate to be advised by Dr. Liang Zhao.

My research interest mainly lies in Graph Machine Learning, LLM Reasoning, and AI4Science.


Education
  • Emory University
      Emory University
      Ph.D. in Computer Science
    2022 - Present
  • Tsinghua University
      Tsinghua University
      B.S. in Software Engineering
    2018 - 2022
Industry Experience
  • Meta
      Meta
    Menlo Park, CA
      PhD SWE Intern, Machine Learning
    Summer 2025
  • Merck
      Merck
    Cambridge, MA
      AI for Science Research Intern
    Summer 2024
  • DiDi
      DiDi
    Beijing
      Machine Learning Engineer Intern
    Jun 2021 - Dec 2021
News
2025
May
Through continuous repeating, humans can do tasks faster and faster. Do LLMs also have such merits? We release our new work Can Past Experience Accelerate LLM Reasoning?.
May
Invited to give a talk on LLM Reasoning Efficiency at INFORMS 2025. See you in Atlanta!
May
Two first-author papers got accepted by ACL 2025 Main and KDD 2025 ADS Track, and one co-author paper got accepted by KDD 2025 Benchmark Track
2024
Dec
How to explain for GNNs with natural language? Our new paper TAGExplainer is released. Read more
Nov
I passed my PhD qualification exam. Thanks to my exam committee, Dr. Andreas Züfle, Dr. Liang Zhao, and Dr. Wei Jin.
Jul
Our paper Distilling Large Language Models for Text-Attributed Graph Learning is accepted by CIKM’24!
Feb
I serve as a co-organizer for LLMs4Bio workshop at AAAI 2024!
Selected Publications (view all )
Can Past Experience Accelerate LLM Reasoning?
Preprint 2025

Bo Pan, Liang Zhao

Can Past Experience Accelerate LLM Reasoning?
Preprint 2025

Bo Pan, Liang Zhao

Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations
KDD 2025 (Datasets and Benchmarks Track)

Yifei Zhang, James Song, Siyi Gu, Tianxu Jiang, Bo Pan, Guangji Bai, Liang Zhao

Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations
KDD 2025 (Datasets and Benchmarks Track)

Yifei Zhang, James Song, Siyi Gu, Tianxu Jiang, Bo Pan, Guangji Bai, Liang Zhao

An Instructible Chemist-AI Alignment Framework for Generating Quaternary Ammonium Compound Structures
KDD 2025 (ADS Track)

Bo Pan, William Wuest, Kevin Minbiole, Liang Zhao, Amarda Shehu, et al.

An Instructible Chemist-AI Alignment Framework for Generating Quaternary Ammonium Compound Structures
KDD 2025 (ADS Track)

Bo Pan, William Wuest, Kevin Minbiole, Liang Zhao, Amarda Shehu, et al.

GraphNarrator: Generating Textual Explanations for Graph Neural Networks
ACL 2025

Bo Pan*, Zhen Xiong*, Guanchen Wu*, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao

GraphNarrator: Generating Textual Explanations for Graph Neural Networks
ACL 2025

Bo Pan*, Zhen Xiong*, Guanchen Wu*, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao

GRAG: Graph Retrieval-Augmented Generation
NAACL 2025 Findings

Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao

GRAG: Graph Retrieval-Augmented Generation
NAACL 2025 Findings

Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao

Visual Attention-Prompted Prediction and Learning
IJCAI 2024

Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Xiaofeng Yang, Liang Zhao

Visual Attention-Prompted Prediction and Learning
IJCAI 2024

Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Xiaofeng Yang, Liang Zhao

Distilling Large Language Models for Text-Attributed Graph Learning
CIKM 2024

Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao

Distilling Large Language Models for Text-Attributed Graph Learning
CIKM 2024

Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao

ELAD: Explanation-Guided Large Language Models Active Distillation
ACL 2024 Findings

Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao

ELAD: Explanation-Guided Large Language Models Active Distillation
ACL 2024 Findings

Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao

MAGI: Multi-Annotated Explanation-Guided Learning
ICCV 2023

Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Liang Zhao

MAGI: Multi-Annotated Explanation-Guided Learning
ICCV 2023

Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Liang Zhao

Controllable data generation by deep learning: A review
ACM Computing Surveys (CSUR) 2023

Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui Qin, Liang Zhao

Controllable data generation by deep learning: A review
ACM Computing Surveys (CSUR) 2023

Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui Qin, Liang Zhao

Multi-objective Deep Data Generation with Correlated Property Control
NeurIPS 2022

Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, et al.

Multi-objective Deep Data Generation with Correlated Property Control
NeurIPS 2022

Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, et al.

Property-controllable generation of quaternary ammonium compounds
BIBM 2022

Bo Pan, Yinkai Wang, Xuanyang Lin, et al.

Property-controllable generation of quaternary ammonium compounds
BIBM 2022

Bo Pan, Yinkai Wang, Xuanyang Lin, et al.

All publications