The use of fuzzy membership in network training for isolated word recognition. - Yingyong Qi; Bobby R. Hunt; Ning Bi (ICNN, 1993)

Voiced-unvoiced-silence classifications of speech using hybrid features and a network classifier. - Yingyong Qi; Bobby R. Hunt (IEEE Trans. Speech Audio Process., 1993)

Signature verification using global and grid features. - Yingyong Qi; Bobby R. Hunt (Pattern Recognit., 1994)

A multiresolution approach to computer verification of handwritten signatures. - Yingyong Qi; Bobby R. Hunt (IEEE Trans. Image Process., 1995)

Application of speech conversion to alaryngeal speech enhancement. - Ning Bi; Yingyong Qi (IEEE Trans. Speech Audio Process., 1997)

A perception and PDE based nonlinear transformation for processing spoken words. - Yingyong Qi; Jack Xin (INTERSPEECH, 2000)

A robust speech recognition system embedded in CDMA cellular phone chipsets. - Ning Bi; Harinath Garudadri; Chienchung Chang; Andrew DeJaco; Yingyong Qi; Naren Malayath; William Huang (ICASSP, 2002)

Signal processing of acoustic signals in the time domain with an active nonlinear nonlocal cochlear model. - Michael Drew Lamar; Jack Xin; Yingyong Qi (Signal Process., 2006)

A dynamic algorithm for blind separation of convolutive sound mixtures. - Jie Liu 003; Jack Xin; Yingyong Qi (Neurocomputing, 2008)

A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech. - Jack Xin; Meng Yu 003; Yingyong Qi; Hsin-I Yang; Fan-Gang Zeng (WASPAA, 2009)

A Soft-Constrained Dynamic Iterative Method of Blind Source Separation. - Jie Liu 003; Jack Xin; Yingyong Qi (Multiscale Model. Simul., 2009)

Parallelization of a color-entropy preprocessed Chan-Vese model for face contour detection on multi-core CPU and GPU. - Xiaohua Shi; Fredrick Park; Lina Wang; Jack Xin; Yingyong Qi (Parallel Comput., 2015)

Training Ternary Neural Networks with Exact Proximal Operator. - Penghang Yin; Shuai Zhang 009; Jack Xin; Yingyong Qi (CoRR, 2016)

Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. - Penghang Yin; Shuai Zhang 009; Jiancheng Lyu; Stanley J. Osher; Yingyong Qi; Jack Xin (CoRR, 2018)

Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu; Yuxi Li; Shuai Zhang 009; Wei Wen; Botao Wang; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (CoRR, 2018)

Linear Feature Transform and Enhancement of Classification on Deep Neural Network. - Penghang Yin; Jack Xin; Yingyong Qi (J. Sci. Comput., 2018)

BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. - Penghang Yin; Shuai Zhang 009; Jiancheng Lyu; Stanley J. Osher; Yingyong Qi; Jack Xin (SIAM J. Imaging Sci., 2018)

Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. - Fanghui Xue; Jack Xin; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi (AI4I, 2019)

Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. - Biao Yang; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (AI4I, 2019)

DNQ: Dynamic Network Quantization. - Yuhui Xu; Shuai Zhang 009; Yingyong Qi; Jiaxian Guo; Weiyao Lin; Hongkai Xiong (DCC, 2019)

Weakly-Supervised Degree of Eye-Closeness Estimation. - Eyasu Mequanint; Shuai Zhang 009; Bijan Forutanpour; Yingyong Qi; Ning Bi (ICCV Workshops, 2019)

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. - Penghang Yin; Jiancheng Lyu; Shuai Zhang 009; Stanley J. Osher; Yingyong Qi; Jack Xin (ICLR (Poster), 2019)

Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu; Yuxi Li; Shuai Zhang 009; Wei Wen; Botao Wang; Wenrui Dai; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (EMC2@NeurIPS, 2019)

DAC: Data-Free Automatic Acceleration of Convolutional Networks. - Xin Li 080; Shuai Zhang 009; Bolan Jiang; Yingyong Qi; Mooi Choo Chuah; Ning Bi (WACV, 2019)

𝓁0 Regularized Structured Sparsity Convolutional Neural Networks. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (CoRR, 2019)

TRP: Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu; Yuxi Li; Shuai Zhang 009; Wei Wen; Botao Wang; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (IJCAI, 2020)

Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (ISVC (1), 2020)

AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. - Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (KDD, 2020)

RARTS: a Relaxed Architecture Search Method. - Fanghui Xue; Yingyong Qi; Jack Xin (CoRR, 2020)

Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (Frontiers Appl. Math. Stat., 2020)

Iterative Deep Neural Network Quantization With Lipschitz Constraint. - Yuhui Xu; Wenrui Dai; Yingyong Qi; Junni Zou; Hongkai Xiong (IEEE Trans. Multim., 2020)

Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle. - Biao Yang; Fanghui Xue; Yingyong Qi; Jack Xin (ISVC (2), 2021)

Improving Network Slimming With Nonconvex Regularization. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (IEEE Access, 2021)

RARTS: An Efficient First-Order Relaxed Architecture Search Method. - Fanghui Xue; Yingyong Qi; Jack Xin (IEEE Access, 2022)

Searching Intrinsic Dimensions of Vision Transformers. - Fanghui Xue; Biao Yang; Yingyong Qi; Jack Xin (CoRR, 2022)

A Proximal Algorithm for Network Slimming. - Kevin Bui; Fanghui Xue; Fredrick Park; Yingyong Qi; Jack Xin (LOD (2), 2023)

Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. - Zhijian Li; Biao Yang; Penghang Yin; Yingyong Qi; Jack Xin (IEEE Access, 2023)

AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. - Yunling Zheng; Zeyi Xu; Fanghui Xue; Biao Yang; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (ISVC (1), 2024)

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. - Aozhong Zhang; Zi Yang; Naigang Wang; Yingyong Qi; Jack Xin; Xin Li 005; Penghang Yin (IEEE Access, 2025)

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging. - Nhat Thanh Tran; Fanghui Xue; Shuai Zhang 009; Jiancheng Lyu; Yunling Zheng; Yingyong Qi; Jack Xin (CoRR, 2025)