Kaizhao Liang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Constrained Optimization

Text Generation

Knowledge Transfer

Top Venues

Publications

Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu
Communication Efficient Distributed Training with Distributed Lion. CoRR (2024)
Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du, Mingran Wang, Xiangyu Song, Kejie Zhang, Tianren Gao, Angela Wang, Karen Li, Yongning Sheng, Joshua Brot, Denis Sokolov, Apurv Vivek, Calvin Leung, Arjun Sabnis, Jiayu Bai, Tuowen Zhao, Mark Gottscho, David Jackson, Mark Luttrell, Manish K. Shah, Edison Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Dawei Huang, Sumti Jairath, Kevin J. Brown, Kunle Olukotun
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. CoRR (2024)
Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts. ICLR (2024)
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, Chao Zheng
A Survey on Multimodal Large Language Models for Autonomous Driving. WACV (Workshops) (2024)
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, Chao Zheng
A Survey on Multimodal Large Language Models for Autonomous Driving. CoRR (2023)
Yizhuo Chen, Kaizhao Liang, Zhe Zeng, Shuochao Yao, Huajie Shao
A Unified Knowledge Distillation Framework for Deep Directed Graphical Models. CVPR (2023)
Kaizhao Liang, Xu Cao, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Zhengyu Chen, Jianguo Cao, Tejas Nama, Jimeng Sun
PIE: Simulating Disease Progression via Progressive Image Editing. CoRR (2023)
Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts. CoRR (2023)
Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. ICLR (2022)
Kaizhao Liang, Jacky Y. Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability. ICML (2021)
Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. CoRR (2021)
Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li
Adversarial Mutual Information for Text Generation. CoRR (2020)
Kaizhao Liang, Jacky Y. Zhang, Oluwasanmi Koyejo, Bo Li
Does Adversarial Transferability Indicate Knowledge Transferability? CoRR (2020)
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
Unrestricted Adversarial Examples via Semantic Manipulation. ICLR (2020)
Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li
Adversarial Mutual Information for Text Generation. ICML (2020)
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
Big but Imperceptible Adversarial Perturbations via Semantic Manipulation. CoRR (2019)