Shaokai Ye - RankMe

37 papers A* 10Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LLaVAction: evaluating and training multi-modal large language models for action recognition. CoRR Shaokai Ye, Haozhe Qi, Alexander Mathis, Mackenzie W. Mathis
2023	A*	`conf`	AmadeusGPT: a natural language interface for interactive animal behavioral analysis. NeurIPS Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
2023	J	`jnl`	AmadeusGPT: a natural language interface for interactive animal behavioral analysis. CoRR Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
2022	A*	`conf`	Enhance the Visual Representation via Discrete Adversarial Training. NeurIPS Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue
2022	J	`jnl`	Enhance the Visual Representation via Discrete Adversarial Training. CoRR Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue
2022	J	`jnl`	Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 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
2022	J	`jnl`	Panoptic animal pose estimators are zero-shot performers. CoRR Shaokai Ye, Alexander Mathis, Mackenzie Weygandt Mathis
2022	J	`jnl`	StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Trans. Neural Networks Learn. Syst. Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang
2022	A*	`conf`	Towards Robust Vision Transformer. CVPR Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue
2021	A*	`conf`	Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CVPR Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang
2021	J	`jnl`	Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CoRR Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He
2021	A*	`conf`	QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval. CVPR Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue
2021	J	`jnl`	QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval. CoRR Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue
2021	—	`conf`	Research on AGC Optimal Reference Power in Broadband PLC Multipath Channel. ICCT Bo Lu, Shaokai Ye, Wei Wang
2021	J	`jnl`	Towards Robust Vision Transformer. CoRR Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue
2020	A*	`conf`	Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. CVPR Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
2020	A*	`conf`	PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. DAC Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
2020	J	`jnl`	PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators. CoRR Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
2020	A*	`conf`	PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. DAC Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang
2019	A*	`conf`	ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
2019	—	`conf`	ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang
2019	A*	`conf`	Adversarial Robustness vs. Model Compression, or Both? ICCV Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang
2019	J	`jnl`	Brain-inspired reverse adversarial examples. CoRR Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation. CoRR Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Non-structured DNN Weight Pruning Considered Harmful. CoRR 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
2019	J	`jnl`	Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR 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
2019	J	`jnl`	Second Rethinking of Network Pruning in the Adversarial Setting. CoRR Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin
2019	J	`jnl`	Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. CoRR Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang
2018	—	`conf`	A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. ECCV (8) Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
2018	J	`jnl`	A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers. CoRR Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
2018	J	`jnl`	A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. CoRR Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang
2018	J	`jnl`	ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. CoRR Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang
2018	J	`jnl`	ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
2018	—	`conf`	Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. GlobalSIP Siyue Wang, Xiao Wang, Shaokai Ye, Pu Zhao, Xue Lin
2018	J	`jnl`	Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR 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
2018	—	`conf`	Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. ICLR (Workshop) Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad
2018	J	`jnl`	Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. CoRR Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad