Yingyong Qi

According to our database, Yingyong Qi authored at least 38 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Yingyong Qi, Jack Xin

Proceedings of the Advances in Visual Computing - 19th International Symposium, 2024

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

A Proximal Algorithm for Network Slimming.

Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

2022

Searching Intrinsic Dimensions of Vision Transformers.

Fanghui Xue, Biao Yang, Yingyong Qi, Jack Xin

CoRR, 2022

RARTS: An Efficient First-Order Relaxed Architecture Search Method.

Fanghui Xue, Yingyong Qi, Jack Xin

IEEE Access, 2022

2021

Improving Network Slimming With Nonconvex Regularization.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

IEEE Access, 2021

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

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

2020

Iterative Deep Neural Network Quantization With Lipschitz Constraint.

Yuhui Xu, Wenrui Dai, Yingyong Qi, Junni Zou, Hongkai Xiong

IEEE Trans. Multim., 2020

Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

Frontiers Appl. Math. Stat., 2020

RARTS: a Relaxed Architecture Search Method.

Fanghui Xue, Yingyong Qi, Jack Xin

CoRR, 2020

AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks.

Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Nonconvex Regularization for Network Slimming: Compressing CNNs Even More.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

TRP: Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

𝓁₀ Regularized Structured Sparsity Convolutional Neural Networks.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

CoRR, 2019

DAC: Data-Free Automatic Acceleration of Convolutional Networks.

Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.

Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin

Proceedings of the 7th International Conference on Learning Representations, 2019

Weakly-Supervised Degree of Eye-Closeness Estimation.

Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

DNQ: Dynamic Network Quantization.

Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong

Proceedings of the Data Compression Conference, 2019

Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method.

Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin

Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019

Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks.

Fanghui Xue, Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi

Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019

2018

BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights.

Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin

SIAM J. Imaging Sci., 2018

Linear Feature Transform and Enhancement of Classification on Deep Neural Network.

Penghang Yin, Jack Xin, Yingyong Qi

J. Sci. Comput., 2018

Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

CoRR, 2018

Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks.

Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin

CoRR, 2018

2016

Training Ternary Neural Networks with Exact Proximal Operator.

Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi

CoRR, 2016

2015

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

2009

A Soft-Constrained Dynamic Iterative Method of Blind Source Separation.

Jie Liu, Jack Xin, Yingyong Qi

Multiscale Model. Simul., 2009

A nonlocally weighted soft-constrained natural gradient algorithm for blind separation of reverberant speech.

Jack Xin, Meng Yu, Yingyong Qi, Hsin-I Yang, Fan-Gang Zeng

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

2008

A dynamic algorithm for blind separation of convolutive sound mixtures.

Jie Liu, Jack Xin, Yingyong Qi

Neurocomputing, 2008

2006

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

2002

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

Proceedings of the IEEE International Conference on Acoustics, 2002

2000

A perception and PDE based nonlinear transformation for processing spoken words.

Yingyong Qi, Jack Xin

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1997

Application of speech conversion to alaryngeal speech enhancement.

Ning Bi, Yingyong Qi

IEEE Trans. Speech Audio Process., 1997

1995

A multiresolution approach to computer verification of handwritten signatures.

Yingyong Qi, Bobby R. Hunt

IEEE Trans. Image Process., 1995

1994

Signature verification using global and grid features.

Yingyong Qi, Bobby R. Hunt

Pattern Recognit., 1994

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

The use of fuzzy membership in network training for isolated word recognition.

Yingyong Qi, Bobby R. Hunt, Ning Bi

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993