Shaokai Ye

According to our database, Shaokai Ye authored at least 27 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AmadeusGPT: a natural language interface for interactive animal behavioral analysis.

Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs.

Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang

IEEE Trans. Neural Networks Learn. Syst., 2022

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform?

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

IEEE Trans. Neural Networks Learn. Syst., 2022

Panoptic animal pose estimators are zero-shot performers.

Shaokai Ye, Alexander Mathis, Mackenzie Weygandt Mathis

CoRR, 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, Hui Xue

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Robust Vision Transformer.

Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Research on AGC Optimal Reference Power in Broadband PLC Multipath Channel.

Bo Lu, Shaokai Ye, Wei Wang

Proceedings of the 21st International Conference on Communication Technology, 2021

QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval.

Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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, Yun Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Proceedings of the 57th ACM/IEEE Design Automation Conference, 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, Li Jiang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Non-structured DNN Weight Pruning Considered Harmful.

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

CoRR, 2019

Brain-inspired reverse adversarial examples.

Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma

CoRR, 2019

Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM.

Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang

CoRR, 2019

Second Rethinking of Network Pruning in the Adversarial Setting.

Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin

CoRR, 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, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang

CoRR, 2019

Adversarial Robustness vs. Model Compression, or Both?

Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.

Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

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, Yanzhi Wang

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

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, Yanzhi Wang

CoRR, 2018

A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM.

Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang

CoRR, 2018

Progressive Weight Pruning of Deep Neural Networks using ADMM.

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

CoRR, 2018

ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs.

Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang

CoRR, 2018

Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers.

Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad

Proceedings of the 6th International Conference on Learning Representations, 2018

Defending DNN Adversarial Attacks with Pruning and Logits Augmentation.

Siyue Wang, Xiao Wang, Shaokai Ye, Pu Zhao, Xue Lin

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers.

Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2018, 2018