Shuai Zhang - RankMe

36 papers A* 2A 1B 2Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiSa: Saliency-Aware Foreground-Background Disentangled Framework for Open-Vocabulary Semantic Segmentation. CoRR Zhen Yao, Xin Li, Taotao Jing, Shuai Zhang, Mooi Choo Chuah
2025	J	`jnl`	SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging. CoRR Nhat Thanh Tran, Fanghui Xue, Shuai Zhang, Jiancheng Lyu, Yunling Zheng, Yingyong Qi, Jack Xin
2024	—	`conf`	AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. ISVC (1) Yunling Zheng, Zeyi Xu, Fanghui Xue, Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2024	J	`jnl`	AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. CoRR Yunling Zheng, Zeyi Xu, Fanghui Xue, Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2021	J	`jnl`	Improving Network Slimming With Nonconvex Regularization. IEEE Access Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2020	A*	`conf`	AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. KDD Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2020	J	`jnl`	Clustering COVID-19 Lung Scans. CoRR Jacob Householder, Andrew Householder, John Paul Gomez-Reed, Fredrick Park, Shuai Zhang
2020	—	`conf`	Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. ISVC (1) Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2020	J	`jnl`	Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. CoRR Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2020	J	`jnl`	Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization. Frontiers Appl. Math. Stat. Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2020	A*	`conf`	TRP: Trained Rank Pruning for Efficient Deep Neural Networks. IJCAI Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
2020	J	`jnl`	TRP: Trained Rank Pruning for Efficient Deep Neural Networks. CoRR Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
2020	B	`conf`	Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation. ICIP Bowen Shi, Yuhui Xu, Wenrui Dai, Botao Wang, Shuai Zhang, Chenglin Li, Junni Zou, Hongkai Xiong
2019	J	`jnl`	AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2019	—	`conf`	Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
2019	A	`conf`	DAC: Data-Free Automatic Acceleration of Convolutional Networks. WACV Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi
2019	B	`conf`	DNQ: Dynamic Network Quantization. DCC Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong
2019	—	`conf`	Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. AI4I Fanghui Xue, Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi
2019	—	`conf`	Trained Rank Pruning for Efficient Deep Neural Networks. EMC2@NeurIPS Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
2019	—	`conf`	Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. ICLR (Poster) Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
2019	J	`jnl`	Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
2019	—	`conf`	Weakly-Supervised Degree of Eye-Closeness Estimation. ICCV Workshops Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi
2019	J	`jnl`	Weakly-Supervised Degree of Eye-Closeness Estimation. CoRR Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi
2019	J	`jnl`	𝓁 CoRR Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
2018	J	`jnl`	BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. SIAM J. Imaging Sci. Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	DAC: Data-free Automatic Acceleration of Convolutional Networks. CoRR Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi
2018	J	`jnl`	DNQ: Dynamic Network Quantization. CoRR Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong
2018	J	`jnl`	Minimization of transformed L Math. Program. Shuai Zhang, Jack Xin
2018	J	`jnl`	Trained Rank Pruning for Efficient Deep Neural Networks. CoRR Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
2016	J	`jnl`	Training Ternary Neural Networks with Exact Proximal Operator. CoRR Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi
2015	J	`jnl`	Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications. CoRR Shuai Zhang, Penghang Yin, Jack Xin
2014	J	`jnl`	Minimization of Transformed L CoRR Shuai Zhang, Jack Xin
2014	J	`jnl`	Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing. CoRR Shuai Zhang, Jack Xin
2012	J	`jnl`	An optimal-order error estimate for the mass-conservative characteristic finite element scheme. Appl. Math. Comput. Hongmei Wang, Hongxing Rui, Shuai Zhang