Liang, Kaizhao

9 publications

NeurIPS 2024 Communication Efficient Distributed Training with Distributed Lion Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu

ICLR 2024 Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu

CVPR 2024 MAPLM: A Real-World Large-Scale Vision-Language Benchmark for mAP and Traffic Scene Understanding Xu Cao, Tong Zhou, Yunsheng Ma, Wenqian Ye, Can Cui, Kun Tang, Zhipeng Cao, Kaizhao Liang, Ziran Wang, James M. Rehg, Chao Zheng

NeurIPS 2024 Memory-Efficient LLM Training with Online Subspace Descent Kaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu

CVPR 2023 A Unified Knowledge Distillation Framework for Deep Directed Graphical Models Yizhuo Chen, Kaizhao Liang, Zhe Zeng, Shuochao Yao, Huajie Shao

ICLR 2022 Pixelated Butterfly: Simple and Efficient Sparse Training for Neural Network Models Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Re

ICML 2021 Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability Kaizhao Liang, Jacky Y Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li

ICML 2020 Adversarial Mutual Information for Text Generation Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li

ICLR 2020 Unrestricted Adversarial Examples via Semantic Manipulation Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, D. A. Forsyth