Yingyong Qi

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 36

Top Topics

Structured Sparsity

Feature Representation

Top Venues

Publications

Yunling Zheng, Zeyi Xu, Fanghui Xue, Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. CoRR (2024)
Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin
A Proximal Algorithm for Network Slimming. LOD (2) (2023)
Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin
A Proximal Algorithm for Network Slimming. CoRR (2023)
Zhijian Li, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. IEEE Access 11 (2023)
Zhijian Li, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. CoRR (2023)
Fanghui Xue, Yingyong Qi, Jack Xin
RARTS: An Efficient First-Order Relaxed Architecture Search Method. IEEE Access 10 (2022)
Fanghui Xue, Biao Yang, Yingyong Qi, Jack Xin
Searching Intrinsic Dimensions of Vision Transformers. CoRR (2022)
Biao Yang, Fanghui Xue, Yingyong Qi, Jack Xin
Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle. ISVC (2) (2021)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Improving Network Slimming With Nonconvex Regularization. IEEE Access 9 (2021)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. ISVC (1) (2020)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization. Frontiers Appl. Math. Stat. 6 (2020)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. CoRR (2020)
Fanghui Xue, Yingyong Qi, Jack Xin
RARTS: a Relaxed Architecture Search Method. CoRR (2020)
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. IJCAI (2020)
Yuhui Xu, Wenrui Dai, Yingyong Qi, Junni Zou, Hongkai Xiong
Iterative Deep Neural Network Quantization With Lipschitz Constraint. IEEE Trans. Multim. 22 (7) (2020)
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. CoRR (2020)
Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. KDD (2020)
Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong
DNQ: Dynamic Network Quantization. DCC (2019)
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
Trained Rank Pruning for Efficient Deep Neural Networks. EMC2@NeurIPS (2019)
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. ICLR (Poster) (2019)
Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi
Weakly-Supervised Degree of Eye-Closeness Estimation. ICCV Workshops (2019)
Fanghui Xue, Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi
Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. AI4I (2019)
Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi
Weakly-Supervised Degree of Eye-Closeness Estimation. CoRR (2019)
Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi
DAC: Data-Free Automatic Acceleration of Convolutional Networks. WACV (2019)
Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I (2019)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Regularized Structured Sparsity Convolutional Neural Networks. CoRR (2019)
Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR (2019)
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR (2019)
Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR (2018)
Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi
DAC: Data-free Automatic Acceleration of Convolutional Networks. CoRR (2018)
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
Trained Rank Pruning for Efficient Deep Neural Networks. CoRR (2018)
Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. SIAM J. Imaging Sci. 11 (4) (2018)
Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong
DNQ: Dynamic Network Quantization. CoRR (2018)
Penghang Yin, Jack Xin, Yingyong Qi
Linear Feature Transform and Enhancement of Classification on Deep Neural Network. J. Sci. Comput. 76 (3) (2018)
Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR (2018)
Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi
Training Ternary Neural Networks with Exact Proximal Operator. CoRR (2016)
Xiaohua Shi, Fredrick Park, Lina Wang, Jack Xin, Yingyong Qi
Parallelization of a color-entropy preprocessed Chan-Vese model for face contour detection on multi-core CPU and GPU. Parallel Comput. 49 (2015)
Jack Xin, Meng Yu, Yingyong Qi, Hsin-I Yang, Fan-Gang Zeng
A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech. WASPAA (2009)
Jie Liu, Jack Xin, Yingyong Qi
A Soft-Constrained Dynamic Iterative Method of Blind Source Separation. Multiscale Model. Simul. 7 (4) (2009)
Jie Liu, Jack Xin, Yingyong Qi
A dynamic algorithm for blind separation of convolutive sound mixtures. Neurocomputing 72 (1-3) (2008)
Michael Drew Lamar, Jack Xin, Yingyong Qi
Signal processing of acoustic signals in the time domain with an active nonlinear nonlocal cochlear model. Signal Process. 86 (2) (2006)
Ning Bi, Harinath Garudadri, Chienchung Chang, Andrew DeJaco, Yingyong Qi, Naren Malayath, William Huang
A robust speech recognition system embedded in CDMA cellular phone chipsets. ICASSP (2002)
Yingyong Qi, Jack Xin
A perception and PDE based nonlinear transformation for processing spoken words. INTERSPEECH (2000)
Ning Bi, Yingyong Qi
Application of speech conversion to alaryngeal speech enhancement. IEEE Trans. Speech Audio Process. 5 (2) (1997)
Yingyong Qi, Bobby R. Hunt
A multiresolution approach to computer verification of handwritten signatures. IEEE Trans. Image Process. 4 (6) (1995)
Yingyong Qi, Bobby R. Hunt
Signature verification using global and grid features. Pattern Recognit. 27 (12) (1994)
Yingyong Qi, Bobby R. Hunt
Voiced-unvoiced-silence classifications of speech using hybrid features and a network classifier. IEEE Trans. Speech Audio Process. 1 (2) (1993)
Yingyong Qi, Bobby R. Hunt, Ning Bi
The use of fuzzy membership in network training for isolated word recognition. ICNN (1993)