Pan, Bo

7 publications

ICLRW 2024 Explaining Latent Representations of Generative Models with Large Multimodal Models Mengdan Zhu, Zhenke Liu, Bo Pan, Abhinav Angirekula, Liang Zhao

ICML 2024 Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data Yafei Wang, Bo Pan, Mei Li, Jianya Lu, Lingchen Kong, Bei Jiang, Linglong Kong

IJCAI 2024 Visual Attention Prompted Prediction and Learning Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao

ICCV 2023 MAGI: Multi-Annotated Explanation-Guided Learning Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao

NeurIPS 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 Petersen, Austin Leitgeb, Saleh Alkhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao

AAAI 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong

NeurIPS 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong