Zengchang Qin

发表

Question Classification using Head Words and their Hypernyms

Zengchang Qin, Zhiheng Huang, Marcus Thint, 2008, EMNLP.

Ranking Answers by Hierarchical Topic Models

Zengchang Qin, Zhiheng Huang, Marcus Thint, 2009, IEA/AIE.

An Efficient Minimum Vocabulary Construction Algorithm for Language Modeling

Zengchang Qin, Tao Wan, Sina Lin, 2012, IEA/AIE.

Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks pdf

Hua Wang, Zengchang Qin, Yifan Liu, 2017, ArXiv.

Induction and Learning

Yongchuan Tang, Zengchang Qin, 2014 .

C V ] 1 4 D ec 2 01 7 Emotion Classification with Data Augmentation Using Generative Adversarial Networks

Zengchang Qin, Yifan Liu, Xinyue Zhu, 2017 .

Classification of Benign and Malignant Breast Tumors in Ultrasound Images Based on Multiple Sonographic and Textural Features

Renjie Liao, Zengchang Qin, T. Wan, 2011, 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics.

Popper's Philosophy and Learning

Zengchang Qin, 2006 .

A SIFT-LBP IMAGE RETRIEVAL MODEL BASED ON BAG-OF-FEATURES

Zengchang Qin, T. Wan, J. Yu, 2011 .

A Novel Quantum-Inspired Genetic Algorithm with Expanded Solution Space

Renjie Liao, Zengchang Qin, Xueyao Wang, 2010, 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics.

A Bayesian Model of Game Decomposition

Zengchang Qin, T. Wan, Hanqing Zhao, 2017, IEA/AIE.

Fuzzy Label Semantics for Data Mining

J. Lawry, Zengchang Qin, 2008 .

S I ] 3 O ct 2 01 7 Motif Iteration Model for Network Representation

Zengchang Qin, T. Wan, Lintao Lv, 2022 .

SALIENCY MODEL BASED ON MEAN SHIFT SEGMENTATION

Zengchang Qin, T. Wan, Xu Liu, 2013 .

Correlations for Cross-Modal Multimedia Information Retrieval

Zengchang Qin, J. Yu, 2015 .

Uncertainty Modeling for Data Mining

Zengchang Qin, Yongchuan Tang, Yongchuan Tang, 2014, Advanced Topics in Science and Technology in China.

Sparse Double Descent: Where Network Pruning Aggravates Overfitting

Zeke Xie, Zengchang Qin, Zhengqi He, 2022, ICML.

Evolutionary Auction Design for Agent-based Marketplaces

Zengchang Qin, 2008 .

Data Augmentation in Emotion Classification Using Generative Adversarial Networks

Zengchang Qin, Yifan Liu, Xinyue Zhu, 2017, ArXiv.

A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images

Zengchang Qin, T. Wan, Junyu Ji, 2022, Knowl. Based Syst..

Hybrid clustering of data and vague concepts based on labels semantics

Zengchang Qin, T. Wan, Hanqing Zhao, 2017, Annals of Operations Research.

A Prototype Theory Interpretation of Label Semantics

Zengchang Qin, Yongchuan Tang, Yongchuan Tang, 2014 .

Hybrid Bayesian estimation tree learning with discrete and fuzzy labels

Zengchang Qin, Tao Wan, Zengchang Qin, 2013, Frontiers of Computer Science.

Clustering data and imprecise concepts

Weifeng Zhang, Zengchang Qin, Zengchang Qin, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Multifocus image fusion based on robust principal component analysis

Zengchang Qin, Tao Wan, Chenchen Zhu, 2013, Pattern Recognit. Lett..

A ROBUST FEATURE SELECTION APPROACH USING LOW RANK MATRICES FOR BREAST TUMORS IN ULTRASONIC IMAGES

Renjie Liao, Zengchang Qin, Tao Wan, 2011 .

Motif Iteration Model for Network Representation

Zengchang Qin, Tao Wan, Lintao Lv, 2017, ICONIP.

Exploring Market Behaviors with Evolutionary Mixed-Games Learning Model

Zengchang Qin, Yu Du, Tao Wan, 2011, ICCCI.

Minority Game Data Mining for Stock Market Predictions

Ying Ma, Zengchang Qin, Guanyi Li, 2010, ADMI.

Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology

Xu Liu, Jianhui Chen, Zengchang Qin, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Feature integration analysis of bag-of-features model for image retrieval

Xi Zhang, Jing Yu, Zengchang Qin, 2013, Neurocomputing.

Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features

Jianhui Chen, Zengchang Qin, Tao Wan, 2017, Neurocomputing.

Automatic vessel segmentation in X-ray angiogram using spatio-temporal fully-convolutional neural network

Zengchang Qin, Tao Wan, Deyu Li, 2021, Biomed. Signal Process. Control..

Topic modeling of Chinese language beyond a bag-of-words

Zengchang Qin, Tao Wan, Yonghui Cong, 2016, Comput. Speech Lang..

Topic correlation model for cross-modal multimedia information retrieval

Jing Yu, Zengchang Qin, Tao Wan, 2016, Pattern Analysis and Applications.

A Topic Model of Observing Chinese Characters

Zengchang Qin, Yunkai Zhang, Zengchang Qin, 2010, 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics.

Cross-modal learning with prior visual relation knowledge

Zhuoqian Yang, Jing Yu, Zengchang Qin, 2020, Knowl. Based Syst..

Structured Knowledge Distillation for Semantic Segmentation

Ke Chen, Zengchang Qin, Jingdong Wang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Identifying clinical risk factors correlate with suicide attempts in patients with first episode major depressive disorder.

Zengchang Qin, H. Guan, K. Wang, 2021, Journal of affective disorders.

Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement

Lei Zhao, Zengchang Qin, Deyu Li, 2020, Neurocomputing.

Decision tree learning with fuzzy labels

Jonathan Lawry, Zengchang Qin, J. Lawry, 2005, Inf. Sci..

Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients

Min Zhu, Jianhui Chen, Alin Achim, 2017, Neurocomputing.

An automatic breast cancer grading method in histopathological images based on pixel-, object-, and semantic-level features

Jianhui Chen, Zengchang Qin, Tao Wan, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval

Weifeng Zhang, Yue Hu, Qi Wu, 2020, IEEE Transactions on Multimedia.

Spatial Weighting for Bag-of-Features Based Image Retrieval

Baochang Zhang, Zengchang Qin, Chuanqian Wang, 2013, IUKM.

An application of compressive sensing for image fusion

Zengchang Qin, Tao Wan, Zengchang Qin, 2010, CIVR '10.

Emotion Classification with Data Augmentation Using Generative Adversarial Networks

Zengchang Qin, Tao Wan, Yifan Liu, 2018, PAKDD.

Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog

Zengchang Qin, T. Wan, X. Jiang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue

Zengchang Qin, Jing Yu, Xiaoze Jiang, 2020, ACM Multimedia.

DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue pdf

Zengchang Qin, Jing Yu, Yue Hu, 2020, IJCAI.

Uncertainty Modeling for Data Mining: A Label Semantics Approach

Zengchang Qin, Yongchuan Tang, Yongchuan Tang, 2015 .

accordance with the requirements of the degree of Master of Science in the Faculty of Engineering Evolving Marketplace Designs by Artificial Agents

Zengchang Qin, Zengchang Qin, 2002 .

DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue pdf

Xingxing Zhang, Yue Hu, Zengchang Qin, 2019, AAAI.

A Theory of Modeling Semantic Uncertainty in Label Representation

Hanqing Zhao, Zengchang Qin, Tao Wan, 2016, IUKM.

Label Semantics Theory

Zengchang Qin, Yongchuan Tang, Yongchuan Tang, 2014 .

PNL-Enhanced Restricted Domain Question Answering System

Zengchang Qin, Marcus Thint, Mirza Mohd. Sufyan Beg, 2007, 2007 IEEE International Fuzzy Systems Conference.

Deduction Engine Design for PNL-Based Question Answering System

Zengchang Qin, Marcus Thint, Mirza Mohd. Sufyan Beg, 2007, IFSA.

Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval pdf

Weifeng Zhang, Zengchang Qin, Jing Yu, 2018, PCM.

Scene Graph Reasoning with Prior Visual Relationship for Visual Question Answering

Zhuoqian Yang, Jing Yu, Chenghao Yang, 2018 .

Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks

Zengchang Qin, Tao Wan, Shusong Xu, 2019, Neurocomputing.

Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis pdf

Zengchang Qin, Pengyu Li, Tao Wan, 2017, IEA/AIE.

Weifeng Zhang, Zengchang Qin, Zengchang Qin, 2010, 2010 International Conference on Machine Learning and Cybernetics.

Nonparametric bayesian upstream supervised multi-modal topic models

Renjie Liao, Jun Zhu, Zengchang Qin, 2014, WSDM.

Stock Volatility Prediction Based on Self-attention Networks with Social Information

Jie Zheng, Zengchang Qin, Lin Shao, 2019, 2019 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks

Zengchang Qin, Tao Wan, Yifan Liu, 2018, Neurocomputing.

Many-to-One Stable Matching for Prediction in Social Networks

Zengchang Qin, Ke Dong, Tao Wan, 2020, IEA/AIE.

Automated coronary artery tree segmentation in X-ray angiography using improved Hessian based enhancement and statistical region merging.

Zengchang Qin, Deyu Li, Tao Wan, 2018, Computer methods and programs in biomedicine.

Color saliency model based on mean shift segmentation

Xu Liu, Zengchang Qin, Tao Wan, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Behavior learning in minority games

Zengchang Qin, Guanyi Li, Ying Ma, 2009, CARE 2009.

Evolutionary Models for Agent-Based Complex Behavior Modeling

Zengchang Qin, Tao Wan, Yingsai Dong, 2013, Artificial Intelligence, Evolutionary Computing and Metaheuristics.

Data Augmentation in Emotion Classification Using Generative Adversarial Networks

Zengchang Qin, T. Wan, Yifan Liu, 2017, ArXiv.

Pixel Level Data Augmentation for Semantic Image Segmentation Using Generative Adversarial Networks

Yuxin Chen, Zengchang Qin, Tao Wan, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A New Kind of Economics-Computable and Behavioral Economics

Zengchang Qin, 2005 .

Learning with fuzzy labels : a random set approach towards intelligent data mining systems

Zengchang Qin, Zengchang Qin, 2005 .

A Lightweight Network Model For Video Frame Interpolation Using Spatial Pyramids

Tao Wan, Zengchang Qin, Jialu Chen, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Improved Nuclear Segmentation on Histopathology Images Using a Combination of Deep Learning and Active Contour Model

Lei Zhao, Zengchang Qin, Tao Wan, 2018, ICONIP.

An improved hybrid active contour model for nuclear segmentation on breast cancer histopathology

Zengchang Qin, Tao Wan, Juan Jing, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Text Generation Based on Generative Adversarial Nets with Latent Variable

Heng Wang, Zengchang Qin, Tao Wan, 2017, PAKDD.

A Sequential Guiding Network with Attention for Image Captioning

Zengchang Qin, Tao Wan, Daouda Sow, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-modal Learning with Prior Visual Relation Reasoning pdf

Jing Yu, Zengchang Qin, Zhuoqian Yang, 2018, ArXiv.

Multimodal feature fusion by relational reasoning and attention for visual question answering

Weifeng Zhang, Haiyang Hu, Hua Hu, 2020, Inf. Fusion.

Collective game behavior learning with probabilistic graphical models

Zengchang Qin, Tao Wan, Farhan Khawar, 2016, Neurocomputing.

A confidence growing model for super-resolution

Renjie Liao, Zengchang Qin, Tao Wan, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue

Weifeng Zhang, Jing Yu, Yue Hu, 2020, IEEE Transactions on Image Processing.

What Is the Basic Semantic Unit of Chinese Language? A Computational Approach Based on Topic Models

Qi Zhao, Zengchang Qin, Tao Wan, 2011, MOL.

Data Augmentation in Classification using GAN

Zengchang Qin, Yifan Liu, Xinyue Zhu, 2017 .

Hybrid moving object detection system based on key frame extraction

Zengchang Qin, Shuangshuang Xue, Yu Du, 2011, 2011 6th IEEE Conference on Industrial Electronics and Applications.

A Graphical Model for Collective Behavior Learning Using Minority Games

Zengchang Qin, Farhan Khawar, Zengchang Qin, 2014, PAKDD.

Stable Matching in Structured Networks

Zengchang Qin, Tao Wan, Ying Ling, 2016, PKAW.

What color is an object?

Xu Liu, Zengchang Qin, Tao Wan, 2013, 2013 Visual Communications and Image Processing (VCIP).

Cross-Modal Information Retrieval - A Case Study on Chinese Wikipedia

Jing Yu, Zengchang Qin, Tao Wan, 2012, ADMA.

Radiomic Features on Multiparametric MRI for Preoperative Evaluation of Pituitary Macroadenomas Consistency: Preliminary Findings

Zengchang Qin, T. Wan, Jun Ma, 2021, Journal of magnetic resonance imaging : JMRI.

Prediction and query evaluation using linguistic decision trees

Jonathan Lawry, Zengchang Qin, J. Lawry, 2011, Appl. Soft Comput..

Naive Bayes Classification Given Probability Estimation Trees

Zengchang Qin, Zengchang Qin, 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition pdf

Bin Sun, Ying Huang, Zengchang Qin, 2019, PRCV.

Learning Sentimental Representations for Mixed-Gram Terms

Zengchang Qin, Zhongyang Guo, Tao Wan, 2017, 2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).

Learning Sentimental Weights of Mixed-gram Terms for Classification and Visualization

Bowen Li, Zengchang Qin, Tao Wan, 2016, PRICAI.

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings

K. Han, Zengchang Qin, Quan Tang, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

A Tree-Structured Classification Model Based on Label Semantic

Jonathan Lawry, Qin Zengchang, J. Lawry, 2004 .

N ov 2 01 7 Data Augmentation in Emotion Classification using Generative Adversarial Networks

Zengchang Qin, Yifan Liu, Xinyue Zhu, 2017 .

Market Mechanism Designs with Heterogeneous Trading Agents

Zengchang Qin, Zengchang Qin, 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

Evolutionary collective behavior decomposition model for time series data mining

Zengchang Qin, Yu Du, Tao Wan, 2015, Appl. Soft Comput..

Deep Learning for Prediction of Population of Acetes in Avoiding Biological Hazards for Nuclear Power Plants

Zengchang Qin, S. Huang, Zhen Zhang, 2022, 2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).

Logical Parsing from Natural Language Based on a Neural Translation Model

Zengchang Qin, Pengyu Li, Liang Li, 2017, PACLING.

KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue

Zengchang Qin, J. Yu, Yajing Sun, 2020, ACM Multimedia.