Peng Tang

发表

Quantization of Rough Set Based Attribute Reduction

Tommy W. S. Chow, Bing Li, Peng Tang, 2012 .

Automatic generation of contact state graphs based on curvature monotonic segmentation

Jing Xiao, Peng Tang, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Learning extremely shared middle-level image representation for scene classification

Jin Zhang, Fabio Roli, Wenyu Liu, 2016, Knowledge and Information Systems.

Establishing A-Priori Performance Guarantees for Robot Missions that Include Localization Software

Damian M. Lyons, Ronald C. Arkin, Shu Jiang, 2017, Int. J. Monit. Surveillance Technol. Res..

Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training

Wei Shen, Song Bai, Alan L. Yuille, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer’s Disease

Tommy W. S. Chow, Peng Tang, Rosa H. M. Chan, 2014, IEEE Signal Processing Letters.

Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition

Chi-Wing Fu, Siu Cheung Hui, Peng Tang, 2014, S+SSPR.

Object Detection in Videos by Short and Long Range Object Linking pdf

Wenjun Zeng, Xinggang Wang, Peng Tang, 2018, ArXiv.

Semi-Supervised Image Classification Based on Local and Global Regression

Choujun Zhan, Zhou Wu, Peng Tang, 2015, IEEE Signal Processing Letters.

Recognition of word collocation habits using frequency rank ratio and inter-term intimacy

Tommy W. S. Chow, Peng Tang, 2013, Expert Syst. Appl..

Representation and automatic generation of contact state graphs between general solid objects

Peng Tang, 2007 .

Online chemical symbol recognition for handwritten chemical expression recognition

Chi-Wing Fu, Siu Cheung Hui, Peng Tang, 2013, 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS).

Video object segmentation based on graph cut with dynamic shape prior constraint

Peng Tang, Lin Gao, 2008, 2008 19th International Conference on Pattern Recognition.

A sequential procedure for estimating the steady-state mean using standardized time series

James R. Wilson, Peng Tang, David Goldsman, 2013, 2013 Winter Simulations Conference (WSC).

SQL Injection Behavior Mining Based Deep Learning

Zheng Huang, Peng Tang, Guozhen Liu, 2018, ADMA.

Wireless sensor network faulty scenes diagnosis using high dimensional Neighborhood Hidden Conditional Random Field

Tommy W. S. Chow, Peng Tang, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

Planning and Scheduling Models for EMAS Productive Process

Peng Tang, Hong Bin Yu, 2013 .

Probabilistic Verification of Multi-robot Missions in Uncertain Environments

Damian M. Lyons, Ronald C. Arkin, Shu Jiang, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound pdf

Wei Shen, Yan Wang, Alan L. Yuille, 2018, MICCAI.

Real time object tracking using adaptive Kalman particle filter

Zhifang Liu, Peng Tang, Lin Gao, 2007, International Symposium on Multispectral Image Processing and Pattern Recognition.

Semi-Supervised Surgical Workflow Recognition Based on Convolution Neural Network

Yuwen Chen, Peng Tang, Lei Han, 2019 .

Text style analysis using trace ratio criterion patch alignment embedding

Tommy W. S. Chow, Peng Tang, Ming-Bo Zhao, 2014, Neurocomputing.

Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging

Wei Sun, Dan Zhang, Peng Tang, 2019, Comput. Methods Programs Biomed..

Catenary Poles Detection and Occlusion Reasoning for Electric Railway Infrastructure Visual Inspection

Peng Tang, Weidong Jin, Wei-dong Jin, 2016 .

Differentially private multi-party high-dimensional data publishing

Xiang Cheng, Rui Chen, Sen Su, 2016, 2016 IEEE 32nd International Conference on Data Engineering (ICDE).

Visual abnormality detection framework for train-mounted pantograph headline surveillance

Liang Chen, Peng Tang, Weidong Jin, 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Automatic generation of contact state graphs between a polygon and a planar kinematic chain

Jing Xiao, Peng Tang, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

An Implementation and Optimization of Lattice Boltzmann Method Based on the Multi-Node CPU+MIC Heterogeneous Architecture

Wu Zhang, Zhixiang Liu, Anping Song, 2016, 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC).

APPLICATION OF NON-PARAMETRIC TEXTURE SYNTHESIS TO

Peng Tang, Image Inpainting, Penghao Tang, 2004 .

Online structural analysis for handwritten chemical expression recognition

Chi-Wing Fu, Siu Cheung Hui, Peng Tang, 2011, 2011 8th International Conference on Information, Communications & Signal Processing.

Integer programming for urban design

Biao Li, Peng Tang, Ludger Hovestadt, 2019, Eur. J. Oper. Res..

Rethinking ReLU to Train Better CNNs

Zhaoxiang Zhang, Peng Tang, Jingdong Wang, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

A lattice-based approach for chemical structural retrieval

Siu Cheung Hui, Alvis Cheuk M. Fong, Peng Tang, 2015, Eng. Appl. Artif. Intell..

Wi-Fi Fingerprint Localization Using RSSI-Probability Radio Map and AP Weight Clustering

Peng Tang, Peng Tang, 2016 .

Object Detection in Videos by High Quality Object Linking

Wenjun Zeng, Wenyu Liu, Xinggang Wang, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Salient Moving Object Detection Using Stochastic Approach Filtering

Peng Tang, Lin Gao, Zhifang Liu, 2007, Fourth International Conference on Image and Graphics (ICIG 2007).

Stochastic approach based salient moving object detection using kernel density estimation

Peng Sheng, Zhifang Liu, Peng Tang, 2007, International Symposium on Multispectral Image Processing and Pattern Recognition.

Rapid terminal area trajectory planning for reentry vehicles

Peng Tang, Shuguang Zhang, 2008 .

Authentication of Top-k Spatial Keyword Queries in Outsourced Databases

Xiang Cheng, Jianliang Xu, Peng Xu, 2015, DASFAA.

Final Approach and Landing Trajectory Generation for Civil Airplane in Total Loss of Thrust

Peng Tang, Shuguang Zhang, Jia Li, 2014 .

Automatic Generation of High-level Contact State Space between 3D Curved Objects

Jing Xiao, Peng Tang, 2008, Int. J. Robotics Res..

A Deep Belief Network-based Fault Detection Method for Nonlinear Processes

Kaixiang Peng, Zhiwen Chen, Xu Yang, 2018 .

Automatic Generation of High-level Contact State Space between Planar Curved Objects

Jing Xiao, Peng Tang, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Analyzing rough set based attribute reductions by extension rule

Tommy W. S. Chow, Bing Li, Peng Tang, 2014, Neurocomputing.

Latent information mining for semi-supervised sentiment classification in catering reviews

Jia Feng, Wenyu Liu, Bin Feng, 2016, 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP).

Revisiting multiple instance neural networks

Wenyu Liu, Xiang Bai, Xinggang Wang, 2016, Pattern Recognit..

Mining language variation using word using and collocation characteristics

Tommy W. S. Chow, Peng Tang, T. Chow, 2014, Expert Syst. Appl..

Scalable Distributed-FDPS Algorithm for QoS Provisioning

Chee Kheong Siew, Wuqiong Luo, Peng Tang, 2010, INC.

Connected Bond Recognition for Handwritten Chemical Skeletal Structural Formulas

Chi-Wing Fu, Siu Cheung Hui, Peng Tang, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

A Stochastic Approach Based Bayesian Salient Motion Segmentation Method

Peng Tang, Lin Gao, Peng Sheng, 2008, 2008 International Conference on Computer Science and Software Engineering.

Railway inspection oriented foreground objects detection and occlusion reasoning for locomotive-mounted camera video

Jun Liu, Weidong Jin, Peng Tang, 2016, CCC 2016.

Railway running smoothness monitoring based on visual motion parallax

Peng Tang, Weidong Jin, 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Deep patch learning for weakly supervised object classification and discovery

Wenyu Liu, Xiang Bai, Xinggang Wang, 2017, Pattern Recognit..

Automatic Image Semantic Segmentation by MRF with Transformation-Invariant Shape Priors

Peng Tang, Weidong Jin, 2016, AsiaSim/SCS AutumnSim.

Locality Alignment Discriminant Analysis for Visualizing Regional English

Tommy W. S. Chow, Peng Tang, Ming-Bo Zhao, 2015, Neural Processing Letters.

Indoor Simultaneous Localization and Mapping for Lego Ev3

Qiang Chen, Peng Tang, Ran Chen, 2018, DEStech Transactions on Computer Science and Engineering.

A Progressive Structural Analysis Approach for Handwritten Chemical Formula Recognition

Chi-Wing Fu, Siu Cheung Hui, Peng Tang, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Deep FisherNet for Object Classification pdf

Zhuowen Tu, Wenyu Liu, Xiang Bai, 2016, ArXiv.

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images

Zhao Zhang, Fanzhang Li, Bing Li, 2015, Neurocomputing.

Performance indices and evaluation of algorithms in building energy efficient design optimization

Xing Shi, Xin Zhou, Peng Tang, 2016 .

Probabilistic Visual Tracking using Global and Local Object's Information

Peng Tang, Lin Gao, Zhifang Liu, 2008, 2008 International Conference on Computer Science and Software Engineering.

VirtualRank: A Prediction Based Load Balancing Technique in Virtual Computing Environment

Tianyu Wo, Ting Deng, Qingyi Gao, 2011, 2011 IEEE World Congress on Services.

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

Wenyu Liu, Song Bai, Xiang Bai, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fisher vector with weakly-supervised Gaussian dictionary for scene classification

Wenyu Liu, Bin Feng, Xinggang Wang, 2015, 2015 International Conference on Wireless Communications & Signal Processing (WCSP).

Semi-supervised multi-organ segmentation via multi-planar co-training pdf

Yan Wang, Alan L. Yuille, Yuyin Zhou, 2018, ArXiv.

Autonomous Car Simulating Based on Lego Ev3 and Android App

Nan Xiao, Yu Zhang, Ran Chen, 2018 .

Kekulé Count in Capped Zigzag Boron-Nitride Nanotubes

Peng Tang, Cheng-de Lin, Peng Tang, 2004, J. Chem. Inf. Model..

A study and application of textual information extraction and discriminative learning for text analysis

Peng Tang, 2014 .

ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition

Zhao Zhang, Bing Li, Peng Tang, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Double discriminator generative adversarial networks and their application in detecting nests built in catenary and semisupervized learning

Peng Tang, Weidong Jin, Pei Yang, 2018 .

Wireless Sensor-Networks Conditions Monitoring and Fault Diagnosis Using Neighborhood Hidden Conditional Random Field

Tommy W. S. Chow, Peng Tang, 2016, IEEE Transactions on Industrial Informatics.

Weakly Supervised Region Proposal Network and Object Detection

Wenyu Liu, Alan L. Yuille, Xinggang Wang, 2018, ECCV.

Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia

Tommy W. S. Chow, Peng Tang, Rosa H. M. Chan, 2013, IEEE Signal Processing Letters.

Generation of Point-contact State Space between Strictly Curved Objects

Jing Xiao, Peng Tang, J. Xiao, 2006, Robotics: Science and Systems.

Functional Feature Extraction and Chemical Retrieval

Siu Cheung Hui, Gao Cong, Peng Tang, 2012, SSDBM.

Multiple Instance Detection Network with Online Instance Classifier Refinement

Wenyu Liu, Xiang Bai, Xinggang Wang, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification

Longin Jan Latecki, Song Bai, Philip H. S. Torr, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

Yan Wang, Yuyin Zhou, Wei Shen, 2021, IEEE Transactions on Medical Imaging.

Shape-Texture Debiased Neural Network Training pdf

Yingwei Li, Qihang Yu, Alan Yuille, 2020, ICLR.