T. Xiong

发表

Stochastic Semi-supervised Learning on Partially Labeled Imbalanced Data

J. Xie, T. Xiong, Jianjun Xie, 2011 .

Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis

Jieping Ye, Tao Xiong, Jieping Ye, 2006, J. Mach. Learn. Res..

A combined SVM and LDA approach for classification

Tao Xiong, V. Cherkassky, V. Cherkassky, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Jieping Ye, T. Xiong, R. Janardan, 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Automatic Vertebra Labeling in Large-Scale Medical Images Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

Daguang Xu, Dong Yang, Tao Xiong, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, MICCAI.

Design Domain Specific Neural Network via Symbolic Testing

Kai Y. Xiao, T. Xiong, Yuan Qi, 2022, KDD.

Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization pdf

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, IPMI.

An Unsupervised Compressed Sensing Algorithm for Multi-Channel Neural Recording and Spike Sorting

Ralph Etienne-Cummings, Trac D. Tran, Emad N. Eskandar, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

An unsupervised dictionary learning algorithm for neural recordings

Ralph Etienne-Cummings, Trac D. Tran, Dung N. Tran, 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

Interaction Design of a Semi-automatic Video Face Annotation System

Chenguang Zhang, Tao Xiong, Zhibing Wang, 2014, HCI.

An Improved Multi-task Learning Approach with Applications in Medical Diagnosis

Murat Dundar, Jinbo Bi, R. Bharat Rao, 2008, ECML/PKDD.

Stochastic Semi-supervised Learning

J. Xie, T. Xiong, T. Xiong, 2011, Active Learning and Experimental Design @ AISTATS.

A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface

Jan Van der Spiegel, Ralph Etienne-Cummings, Trac D. Tran, 2016, IEEE Transactions on Biomedical Circuits and Systems.

SVM versus Least Squares SVM

Jieping Ye, Tao Xiong, Jieping Ye, 2007, AISTATS.

Compact all-CMOS spatiotemporal compressive sensing video camera with pixel-wise coded exposure.

Jie Zhang, Ralph Etienne-Cummings, Tao Xiong, 2016, Optics express.

Face alignment via joint-AAM

Yanming Zou, Yong Ma, Tao Xiong, 2011, ICMR.

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks

Yuan He, Yuhong Li, Hui Xue, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sarcasm Detection with Self-matching Networks and Low-rank Bilinear Pooling

Hongbo Zhu, Tao Xiong, Peiran Zhang, 2019, WWW.

Self-supervised Representation Learning on Dynamic Graphs

T. Xiong, Sheng Tian, Liang Zhu, 2021, CIKM.

A Generic Solver Combining Unsupervised Learning and Representation Learning for Breaking Text-Based Captchas

Tao Xiong, Sheng Tian, T. Xiong, 2020, WWW.

Co-attention Network and Low-rank Bilinear Pooling for Aspect Based Sentiment Analysis

Hongbo Zhu, Tao Xiong, Peiran Zhang, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sensitivity based Neural Networks Explanations pdf

Tao Xiong, Kay Giesecke, Lidia Mangu, 2018, ArXiv.

Data-Driven Representation, Learning and Applications: From Compressed Sensing to Deep Neural Networks

Tao Xiong, T. Xiong, 2017 .

Spatiotemporal compressed sensing for video compression

Ralph Etienne-Cummings, Trac D. Tran, Jie Zhang, 2017, 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS).

Compressed sensing block-wise exposure control algorithm using optical flow estimation

Ralph Etienne-Cummings, Trac D. Tran, Sang Peter Chin, 2015, 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS).

A closed-loop compressive-sensing-based neural recording system

Ralph Etienne-Cummings, Srinjoy Mitra, Jie Zhang, 2015, Journal of neural engineering.

Energy-Efficient Multi-Mode Compressed Sensing System for Implantable Neural Recordings

Ralph Etienne-Cummings, Trac D. Tran, Yuanming Suo, 2014, IEEE Transactions on Biomedical Circuits and Systems.

Communication Channel Analysis and Real Time Compressed Sensing for High Density Neural Recording Devices

Jie Zhang, Ralph Etienne-Cummings, Trac D. Tran, 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

Stochastic car tracking with line- and color-based features

Tao Xiong, Christian Debrunner, T. Xiong, 2004, IEEE Transactions on Intelligent Transportation Systems.

Stochastic car tracking with line- and color-based features

Tao Xiong, C. Debrunner, T. Xiong, 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

Efficient Kernel Discriminant Analysis via QR Decomposition

Jieping Ye, Qi Li, Vladimir Cherkassky, 2004, NIPS.

CPM: A Covariance-preserving Projection Method

Jieping Ye, Tao Xiong, Ravi Janardan, 2006, SDM.

Using Deep Learning to Extract Scenery Information in Real Time Spatiotemporal Compressed Sensing

Ralph Etienne-Cummings, Xiao Wang, Trac D. Tran, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Nonnegative matrix factorization with gradient vertex pursuit

Trac D. Tran, Dung N. Tran, Sang Peter Chin, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient model selection for regularized linear discriminant analysis

Jieping Ye, Jinbo Bi, Qi Li, 2006, CIKM '06.