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Yingyong Qi
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2020 – today
- 2024
- [i17]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 abs/2407.12217 (2024) - 2023
- [j15]Zhijian Li
, Biao Yang
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. IEEE Access 11: 78042-78051 (2023) - [c16]Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin:
A Proximal Algorithm for Network Slimming. LOD (2) 2023: 69-83 - [i16]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 abs/2302.10899 (2023) - [i15]Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin:
A Proximal Algorithm for Network Slimming. CoRR abs/2307.00684 (2023) - 2022
- [j14]Fanghui Xue
RARTS: An Efficient First-Order Relaxed Architecture Search Method. IEEE Access 10: 65901-65912 (2022) - [i14]Fanghui Xue, Biao Yang, Yingyong Qi, Jack Xin:
Searching Intrinsic Dimensions of Vision Transformers. CoRR abs/2204.07722 (2022) - 2021
- [j13]Kevin Bui
Improving Network Slimming With Nonconvex Regularization. IEEE Access 9: 115292-115314 (2021) - [c15]Biao Yang
Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle. ISVC (2) 2021: 325-336 - 2020
- [j12]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: 529564 (2020) - [j11]Yuhui Xu
Iterative Deep Neural Network Quantization With Lipschitz Constraint. IEEE Trans. Multim. 22(7): 1874-1888 (2020) - [c14]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: 977-983 - [c13]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. ISVC (1) 2020: 39-53 - [c12]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: 608-616 - [i13]Yuhui Xu, Yuxi Li, Shuai Zhang
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. CoRR abs/2004.14566 (2020) - [i12]Fanghui Xue, Yingyong Qi, Jack Xin:
RARTS: a Relaxed Architecture Search Method. CoRR abs/2008.03901 (2020) - [i11]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. CoRR abs/2010.01242 (2020)
2010 – 2019
- 2019
- [c11]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: 89-90 - [c10]Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin:
Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I 2019: 97-98 - [c9]Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin
DNQ: Dynamic Network Quantization. DCC 2019: 610 - [c8]Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi:
Weakly-Supervised Degree of Eye-Closeness Estimation. ICCV Workshops 2019: 4416-4424 - [c7]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 - [c6]Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin
Trained Rank Pruning for Efficient Deep Neural Networks. EMC2@NeurIPS 2019: 14-17 - [c5]Xin Li
DAC: Data-Free Automatic Acceleration of Convolutional Networks. WACV 2019: 1598-1606 - [i10]Jiancheng Lyu, Shuai Zhang
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR abs/1901.08624 (2019) - [i9]Penghang Yin, Jiancheng Lyu, Shuai Zhang
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR abs/1903.05662 (2019) - [i8]Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi:
Weakly-Supervised Degree of Eye-Closeness Estimation. CoRR abs/1910.10845 (2019) - [i7]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
𝓁0 Regularized Structured Sparsity Convolutional Neural Networks. CoRR abs/1912.07868 (2019) - 2018
- [j10]Penghang Yin, Jack Xin, Yingyong Qi:
Linear Feature Transform and Enhancement of Classification on Deep Neural Network. J. Sci. Comput. 76(3): 1396-1406 (2018) - [j9]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): 2205-2223 (2018) - [i6]Penghang Yin, Shuai Zhang
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR abs/1801.06313 (2018) - [i5]Penghang Yin, Shuai Zhang
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR abs/1808.05240 (2018) - [i4]Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong:
DNQ: Dynamic Network Quantization. CoRR abs/1812.02375 (2018) - [i3]Yuhui Xu, Yuxi Li, Shuai Zhang
Trained Rank Pruning for Efficient Deep Neural Networks. CoRR abs/1812.02402 (2018) - [i2]Xin Li, Shuai Zhang
DAC: Data-free Automatic Acceleration of Convolutional Networks. CoRR abs/1812.08374 (2018) - 2016
- [i1]Penghang Yin, Shuai Zhang
Training Ternary Neural Networks with Exact Proximal Operator. CoRR abs/1612.06052 (2016) - 2015
- [j8]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: 28-49 (2015)
2000 – 2009
- 2009
- [j7]Jie Liu
A Soft-Constrained Dynamic Iterative Method of Blind Source Separation. Multiscale Model. Simul. 7(4): 1795-1810 (2009) - [c4]Jack Xin, Meng Yu, Yingyong Qi, Hsin-I Yang
A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech. WASPAA 2009: 81-84 - 2008
- [j6]Jie Liu
A dynamic algorithm for blind separation of convolutive sound mixtures. Neurocomputing 72(1-3): 521-532 (2008) - 2006
- [j5]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): 360-374 (2006) - 2002
- [c3]Ning Bi, Harinath Garudadri
A robust speech recognition system embedded in CDMA cellular phone chipsets. ICASSP 2002: 3804-3807 - 2000
- [c2]Yingyong Qi, Jack Xin:
A perception and PDE based nonlinear transformation for processing spoken words. INTERSPEECH 2000: 445-448
1990 – 1999
- 1997
- [j4]Ning Bi, Yingyong Qi:
Application of speech conversion to alaryngeal speech enhancement. IEEE Trans. Speech Audio Process. 5(2): 97-105 (1997) - 1995
- [j3]Yingyong Qi, Bobby R. Hunt:
A multiresolution approach to computer verification of handwritten signatures. IEEE Trans. Image Process. 4(6): 870-874 (1995) - 1994
- [j2]Yingyong Qi, Bobby R. Hunt:
Signature verification using global and grid features. Pattern Recognit. 27(12): 1621-1629 (1994) - 1993
- [j1]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): 250-255 (1993) - [c1]Yingyong Qi, Bobby R. Hunt, Ning Bi:
The use of fuzzy membership in network training for isolated word recognition. ICNN 1993: 1823-1828
Coauthor Index
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