Bo Pan

According to our database, Bo Pan authored at least 23 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Topology-Aware Generation and Activity-Based Filtering: A Computational-Experimental Framework for Data-Scarce Quaternary Ammonium Compound Discovery.

Shiva Ghaemi, Amanda J. Consylman, Bo Pan, Alice Wu, Ashley Ann Petersen, Gabe Chang, Diana McDonough, Mark A. Forman, Elise L. Bezold, William M. Wuest, Amarda Shehu, Liang Zhao, Kevin Minbiole

J. Chem. Inf. Model., 2026

2025

GRAG: Graph Retrieval-Augmented Generation.

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

An Instructible Chemist-AI Alignment Framework for Generating Quaternary Ammonium Compound Structures.

Bo Pan, Shiva Ghaemi, Amanda J. Consylman, Zihao Zhao, Ashley Ann Petersen, Alice Wu, Gabriel Chang, Diana McDonough, Mark A. Forman, Elise L. Bezold, William M. Wuest, Kevin Minbiole, Liang Zhao, Amarda Shehu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations.

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations.

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

GraphNarrator: Generating Textual Explanations for Graph Neural Networks.

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Controllable Data Generation by Deep Learning: A Review.

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

ACM Comput. Surv., September, 2024

MEGL: Multimodal Explanation-Guided Learning.

Yifei Zhang, Tianxu Jiang, Bo Pan, Jingyu Wang, Guangji Bai, Liang Zhao

CoRR, 2024

TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models.

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

CoRR, 2024

Deep Causal Generative Models with Property Control.

Qilong Zhao, Shiyu Wang, Guangji Bai, Bo Pan, Zhaohui Qin, Liang Zhao

CoRR, 2024

Explaining latent representations of generative models with large multimodal models.

Mengdan Zhu, Zhenke Liu, Bo Pan, Abhinav Angirekula, Liang Zhao

CoRR, 2024

Visual Attention Prompted Prediction and Learning.

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Distilling Large Language Models for Text-Attributed Graph Learning.

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ELAD: Explanation-Guided Large Language Models Active Distillation.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

XAI Benchmark for Visual Explanation.

Yifei Zhang, Siyi Gu, James Song, Bo Pan, Liang Zhao

CoRR, 2023

Visual Attention-Prompted Prediction and Learning.

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

CoRR, 2023

SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation.

Bo Pan, Zhenke Liu, Yifei Zhang, Liang Zhao

CoRR, 2023

Controllable Data Generation Via Iterative Data-Property Mutual Mappings.

Bo Pan, Muran Qin, Shiyu Wang, Yifei Zhang, Liang Zhao

CoRR, 2023

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, 2023

2022

Controllable Data Generation by Deep Learning: A Review.

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

CoRR, 2022

Multi-objective Deep Data Generation with Correlated Property Control.

Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generation and Characterization of Quaternary Ammonium Compounds via Deep Learning.

Yinkai Wang, Shiva Ghaemi, Aowei Ding, Yuanqui Du, Bo Pan, Muran Qin, Xuanyang Lin, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Liang Zhao, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Property-Controllable Generation of Quaternary Ammonium Compounds.

Bo Pan, Yinkai Wang, Xuanyang Lin, Muran Qin, Yuanqi Du, Shiva Ghaemi, Aowei Ding, Shiyu Wang, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Ashley Ann Petersen, Austin Leitgeb, Amarda Shehu, Liang Zhao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022