Li, Baochun

10 publications

ICLR 2024 Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models Sijia Chen, Baochun Li, Di Niu

AAAI 2024 PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search Dixi Yao, Baochun Li

CVPR 2024 Permutation Equivariance of Transformers and Its Applications Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li

ICML 2024 Toward Adaptive Reasoning in Large Language Models with Thought Rollback Sijia Chen, Baochun Li

UAI 2023 RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching Tianhang Zheng, Baochun Li

CVPR 2022 Multi-Modal Dynamic Graph Transformer for Visual Grounding Sijia Chen, Baochun Li

CVPR 2022 OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks Wanyu Lin, Hao Lan, Hao Wang, Baochun Li

ICML 2021 Generative Causal Explanations for Graph Neural Networks Wanyu Lin, Hao Lan, Baochun Li

NeurIPS 2018 Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization Yuanxiang Gao, Li Chen, Baochun Li

ICML 2018 Spotlight: Optimizing Device Placement for Training Deep Neural Networks Yuanxiang Gao, Li Chen, Baochun Li