Li, Junbo

12 publications

ICML 2025 HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella

ICML 2025 PIPA: Preference Alignment as Prior-Informed Statistical Estimation Junbo Li, Zhangyang Wang, Qiang Liu

CVPRW 2024 Benchmarking Robustness in Neural Radiance Fields Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie

NeurIPSW 2024 OnThePlanning Abilities of OpenAI’s O1 Models: Feasibility, Optimality, and Generalizability Kevin Wang, Junbo Li, Neel P. Bhatt, Yihan Xi, Qiang Liu, Ufuk Topcu, Zhangyang Wang

ICLR 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang

NeurIPS 2024 Web2Code: A Large-Scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen

NeurIPS 2023 FedNAR: Federated Optimization with Normalized Annealing Regularization Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang

NeurIPSW 2023 Training Bayesian Neural Networks with Sparse Subspace Variational Inference Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang

NeurIPS 2022 Exponential Family Model-Based Reinforcement Learning via Score Matching Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang

NeurIPSW 2022 Mitigating Lies in Vision-Language Models Junbo Li, Xianhang Li, Cihang Xie

ECCV 2022 VIP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers Junbo Li, Huan Zhang, Cihang Xie

NeurIPSW 2021 Exponential Family Model-Based Reinforcement Learning via Score Matching Gene Li, Junbo Li, Nathan Srebro, Zhaoran Wang, Zhuoran Yang