A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. - Tianyun Zhang; Shaokai Ye; Kaiqi Zhang 003; Jian Tang 008; Wujie Wen; Makan Fardad; Yanzhi Wang (ECCV (8), 2018)

Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. - Siyue Wang; Xiao Wang 028; Shaokai Ye; Pu Zhao 001; Xue Lin 001 (GlobalSIP, 2018)

Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. - Tianyun Zhang; Shaokai Ye; Yipeng Zhang; Yanzhi Wang; Makan Fardad (ICLR (Workshop), 2018)

ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. - Tianyun Zhang; Kaiqi Zhang 003; Shaokai Ye; Jiayu Li; Jian Tang 008; Wujie Wen; Xue Lin 001; Makan Fardad; Yanzhi Wang (CoRR, 2018)

Progressive Weight Pruning of Deep Neural Networks using ADMM. - Shaokai Ye; Tianyun Zhang; Kaiqi Zhang 003; Jiayu Li; Kaidi Xu; Yunfei Yang; Fuxun Yu; Jian Tang 008; Makan Fardad; Sijia Liu 001; Xiang Chen 010; Xue Lin 001; et al. (CoRR, 2018)

A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. - Shaokai Ye; Tianyun Zhang; Kaiqi Zhang 003; Jiayu Li; Jiaming Xie; Yun Liang 001; Sijia Liu 001; Xue Lin 001; Yanzhi Wang (CoRR, 2018)

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. - Ao Ren; Tianyun Zhang; Shaokai Ye; Jiayu Li; Wenyao Xu; Xuehai Qian; Xue Lin 001; Yanzhi Wang (CoRR, 2018)

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. - Ao Ren; Tianyun Zhang; Shaokai Ye; Jiayu Li; Wenyao Xu; Xuehai Qian; Xue Lin 001; Yanzhi Wang (ASPLOS, 2019)

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. - Hongjia Li; Ning Liu 007; Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Tianyun Zhang; Xue Lin 001; Wenyao Xu; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2019)

Adversarial Robustness vs. Model Compression, or Both? - Shaokai Ye; Xue Lin 001; Kaidi Xu; Sijia Liu 001; Hao Cheng 015; Jan-Henrik Lambrechts; Huan Zhang 001; Aojun Zhou; Kaisheng Ma; Yanzhi Wang (ICCV, 2019)

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. - Shaokai Ye; Xiaoyu Feng; Tianyun Zhang; Xiaolong Ma; Sheng Lin 001; Zhengang Li; Kaidi Xu; Wujie Wen; Sijia Liu 001; Jian Tang 008; Makan Fardad; Xue Lin 001; et al. (CoRR, 2019)

Second Rethinking of Network Pruning in the Adversarial Setting. - Shaokai Ye; Kaidi Xu; Sijia Liu 001; Hao Cheng 015; Jan-Henrik Lambrechts; Huan Zhang 001; Aojun Zhou; Kaisheng Ma; Yanzhi Wang; Xue Lin 001 (CoRR, 2019)

Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. - Sheng Lin 001; Xiaolong Ma; Shaokai Ye; Geng Yuan; Kaisheng Ma; Yanzhi Wang (CoRR, 2019)

Brain-inspired reverse adversarial examples. - Shaokai Ye; Sia Huat Tan; Kaidi Xu; Yanzhi Wang; Chenglong Bao; Kaisheng Ma (CoRR, 2019)

Non-structured DNN Weight Pruning Considered Harmful. - Yanzhi Wang; Shaokai Ye; Zhezhi He; Xiaolong Ma; Linfeng Zhang 001; Sheng Lin 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; et al. (CoRR, 2019)

Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. - Shaokai Ye; Kailu Wu; Mu Zhou; Yunfei Yang; Sia Huat Tan; Kaidi Xu; Jiebo Song; Chenglong Bao; Kaisheng Ma (CVPR, 2020)

PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. - Chaoqun Chu; Yanzhi Wang; Yilong Zhao; Xiaolong Ma; Shaokai Ye; Yunyan Hong; Xiaoyao Liang; Yinhe Han 001; Li Jiang 002 (DAC, 2020)

PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. - Zhanhong Tan; Jiebo Song; Xiaolong Ma; Sia Huat Tan; Hongyang Chen; Yuanqing Miao; Yifu Wu; Shaokai Ye; Yanzhi Wang; Dehui Li; Kaisheng Ma (DAC, 2020)

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. - Ranjie Duan; Xiaofeng Mao; A. Kai Qin; Yuefeng Chen; Shaokai Ye; Yuan He 011; Yun Yang 001 (CVPR, 2021)

QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval. - Xiaodan Li; Jinfeng Li; Yuefeng Chen; Shaokai Ye; Yuan He 011; Shuhui Wang; Hang Su 006; Hui Xue 001 (CVPR, 2021)

Research on AGC Optimal Reference Power in Broadband PLC Multipath Channel. - Bo Lu; Shaokai Ye; Wei Wang (ICCT, 2021)

Towards Robust Vision Transformer. - Xiaofeng Mao; Gege Qi; Yuefeng Chen; Xiaodan Li; Ranjie Duan; Shaokai Ye; Yuan He 011; Hui Xue 001 (CVPR, 2022)

Enhance the Visual Representation via Discrete Adversarial Training. - Xiaofeng Mao; Yuefeng Chen; Ranjie Duan; Yao Zhu; Gege Qi; Shaokai Ye; Xiaodan Li; Rong Zhang 006; Hui Xue 001 (NeurIPS, 2022)

Panoptic animal pose estimators are zero-shot performers. - Shaokai Ye; Alexander Mathis; Mackenzie Weygandt Mathis (CoRR, 2022)

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? - Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Zhezhi He; Linfeng Zhang 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; Kaisheng Ma; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. - Tianyun Zhang; Shaokai Ye; Xiaoyu Feng; Xiaolong Ma; Kaiqi Zhang 003; Zhengang Li; Jian Tang 008; Sijia Liu 001; Xue Lin 001; Yongpan Liu; Makan Fardad; Yanzhi Wang (IEEE Trans. Neural Networks Learn. Syst., 2022)

AmadeusGPT: a natural language interface for interactive animal behavioral analysis. - Shaokai Ye; Jessy Lauer; Mu Zhou; Alexander Mathis; Mackenzie W. Mathis (NeurIPS, 2023)

LLaVAction: evaluating and training multi-modal large language models for action recognition. - Shaokai Ye; Haozhe Qi; Alexander Mathis; Mackenzie W. Mathis (CoRR, 2025)