Shaokai Ye

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 36

Top Topics

Pulse Coupled Neural Networks

Alternating Direction

Pruning Methods

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. NeurIPS (2023)
Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. CoRR (2023)
Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue
Enhance the Visual Representation via Discrete Adversarial Training. CoRR (2022)
Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue
Towards Robust Vision Transformer. CVPR (2022)
Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Shaokai Ye, Alexander Mathis, Mackenzie Weygandt Mathis
Panoptic animal pose estimators are zero-shot performers. CoRR (2022)
Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue
Enhance the Visual Representation via Discrete Adversarial Training. NeurIPS (2022)
Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval. CoRR (2021)
Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue
QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval. CVPR (2021)
Ranjie Duan, Xiaofeng Mao, A. Kai Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CVPR (2021)
Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue
Towards Robust Vision Transformer. CoRR (2021)
Bo Lu, Shaokai Ye, Wei Wang
Research on AGC Optimal Reference Power in Broadband PLC Multipath Channel. ICCT (2021)
Ranjie Duan, Xiaofeng Mao, A. Kai Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CoRR (2021)
Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators. CoRR (2020)
Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang
PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. DAC (2020)
Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. CVPR (2020)
Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. DAC (2020)
Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang
Adversarial Robustness vs. Model Compression, or Both? ICCV (2019)
Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma
Non-structured DNN Weight Pruning Considered Harmful. CoRR (2019)
Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR (2019)
Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin
Second Rethinking of Network Pruning in the Adversarial Setting. CoRR (2019)
Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma
Brain-inspired reverse adversarial examples. CoRR (2019)
Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang
ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI (2019)
Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation. CoRR (2019)
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS (2019)
Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. CoRR (2019)
Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang
Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR (2018)
Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. CoRR (2018)
Siyue Wang, Xiao Wang, Shaokai Ye, Pu Zhao, Xue Lin
Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. GlobalSIP (2018)
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR (2018)
Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. ICLR (Workshop) (2018)
Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. ECCV (8) (2018)
Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang
ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. CoRR (2018)
Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. CoRR (2018)
Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers. CoRR (2018)