Big but Imperceptible Adversarial Perturbations via Semantic Manipulation. - Anand Bhattad; Min Jin Chong; Kaizhao Liang; Bo Li 026; David A. Forsyth (CoRR, 2019)

Unrestricted Adversarial Examples via Semantic Manipulation. - Anand Bhattad; Min Jin Chong; Kaizhao Liang; Bo Li 026; David A. Forsyth (ICLR, 2020)

Adversarial Mutual Information for Text Generation. - Boyuan Pan; Yazheng Yang; Kaizhao Liang; Bhavya Kailkhura; Zhongming Jin 001; Xian-Sheng Hua 001; Deng Cai 001; Bo Li 026 (ICML, 2020)

Does Adversarial Transferability Indicate Knowledge Transferability? - Kaizhao Liang; Jacky Y. Zhang; Oluwasanmi Koyejo; Bo Li 026 (CoRR, 2020)

Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability. - Kaizhao Liang; Jacky Y. Zhang; Boxin Wang; Zhuolin Yang; Sanmi Koyejo; Bo Li 026 (ICML, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. - Beidi Chen; Tri Dao; Kaizhao Liang; Jiaming Yang; Zhao Song 002; Atri Rudra; Christopher Ré (ICLR, 2022)

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

PIE: Simulating Disease Progression via Progressive Image Editing. - Kaizhao Liang; Xu Cao; Kuei-Da Liao; Tianren Gao; Wenqian Ye; Zhengyu Chen; Jianguo Cao; Tejas Nama; Jimeng Sun 001 (CoRR, 2023)

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 002; Kaizhao Liang; Ziran Wang; James M. Rehg; Chao Zheng (CVPR, 2024)

Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts. - Lizhang Chen; Bo Liu 042; Kaizhao Liang; Qiang Liu 001 (ICLR, 2024)

SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. - Raghu Prabhakar; Ram Sivaramakrishnan; Darshan Gandhi; Yun Du; Mingran Wang; Xiangyu Song; Kejie Zhang; Tianren Gao; Angela Wang; Xiaoyan Li; Yongning Sheng; Joshua Brot; et al. (MICRO, 2024)

Memory-Efficient LLM Training with Online Subspace Descent. - Kaizhao Liang; Bo Liu 042; Lizhang Chen; Qiang Liu 001 (NeurIPS, 2024)

Communication Efficient Distributed Training with Distributed Lion. - Bo Liu 042; Lemeng Wu; Lizhang Chen; Kaizhao Liang; Jiaxu Zhu; Chen Liang; Raghuraman Krishnamoorthi; Qiang Liu 001 (NeurIPS, 2024)

A Survey on Multimodal Large Language Models for Autonomous Driving. - Can Cui; Yunsheng Ma; Xu Cao; Wenqian Ye; Yang Zhou 019; Kaizhao Liang; Jintai Chen; Juanwu Lu; Zichong Yang; Kuei-Da Liao; Tianren Gao; Erlong Li; et al. (WACV (Workshops), 2024)

SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. - Raghu Prabhakar; Ram Sivaramakrishnan; Darshan Gandhi; Yun Du; Mingran Wang; Xiangyu Song; Kejie Zhang; Tianren Gao; Angela Wang; Karen Li; Yongning Sheng; Joshua Brot; et al. (CoRR, 2024)

Medical Video Generation for Disease Progression Simulation. - Xu Cao; Kaizhao Liang; Kuei-Da Liao; Tianren Gao; Wenqian Ye; Jintai Chen; Zhiguang Ding; Jianguo Cao; James M. Rehg; Jimeng Sun 001 (CoRR, 2024)

Cautious Optimizers: Improving Training with One Line of Code. - Kaizhao Liang; Lizhang Chen; Bo Liu 042; Qiang Liu 001 (CoRR, 2024)

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models. - Swayambhoo Jain; Ravi Raju; Bo Li; Zoltan Csaki; Jonathan Li 009; Kaizhao Liang; Guoyao Feng; Urmish Thakkar; Anand Sampat; Raghu Prabhakar; Sumati Jairath (CoRR, 2024)

Composition of Experts on the SN40L Reconfigurable Dataflow Unit. - Raghu Prabhakar; Ram Sivaramakrishnan; Darshan Gandhi; Yun Du; Mingran Wang; Xiangyu Song; Kejie Zhang; Tianren Gao; Angela Wang; Xiaoyan Li; Joshua Brot; Calvin Leung; et al. (IEEE Micro, 2024)