Hybrid Bayesian Estimation Trees Based on Label Semantics. - Zengchang Qin; Jonathan Lawry (ECSQARU, 2005)

Decision tree learning with fuzzy labels. - Zengchang Qin; Jonathan Lawry (Inf. Sci., 2005)

Learning with fuzzy labels : a random set approach towards intelligent data mining systems. - Zengchang Qin (2005)

Naive Bayes Classification Given Probability Estimation Trees. - Zengchang Qin (ICMLA, 2006)

Market Mechanism Designs with Heterogeneous Trading Agents. - Zengchang Qin (ICMLA, 2006)

High Level Fuzzy Labels for Vague Concepts. - Zengchang Qin; Jonathan Lawry (SMPS, 2006)

PNL-Enhanced Restricted Domain Question Answering System. - Mirza Mohd. Sufyan Beg; Marcus Thint; Zengchang Qin (FUZZ-IEEE, 2007)

Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees. - Zengchang Qin; Jonathan Lawry (IFSA (1), 2007)

Deduction Engine Design for PNL-Based Question Answering System. - Zengchang Qin; Marcus Thint; Mirza Mohd. Sufyan Beg (IFSA (1), 2007)

Question Classification using Head Words and their Hypernyms. - Zhiheng Huang; Marcus Thint; Zengchang Qin (EMNLP, 2008)

LFOIL: Linguistic rule induction in the label semantics framework. - Zengchang Qin; Jonathan Lawry (Fuzzy Sets Syst., 2008)

Knowledge Discovery in a Framework for Modelling with Words. - Zengchang Qin; Jonathan Lawry (Soft Computing for Knowledge Discovery and Data Mining, 2008)

Ranking Answers by Hierarchical Topic Models. - Zengchang Qin; Marcus Thint; Zhiheng Huang (IEA/AIE, 2009)

A k-hyperplane-based neural network for non-linear regression. - Hongmei He; Zengchang Qin (IEEE ICCI, 2010)

Minority Game Data Mining for Stock Market Predictions. - Ying Ma; Guanyi Li; Yingsai Dong; Zengchang Qin (ADMI, 2010)

A novel serial crime prediction model based on Bayesian learning theory. - Renjie Liao; Xueyao Wang; Lun Li; Zengchang Qin (ICMLC, 2010)

Dissimilarity measure of logical expressions. - Weifeng Zhang 008; Zengchang Qin (ICMLC, 2010)

Clustering data and imprecise concepts. - Weifeng Zhang 008; Zengchang Qin (FUZZ-IEEE, 2011)

Exploring Market Behaviors with Evolutionary Mixed-Games Learning Model. - Yu Du; Yingsai Dong; Zengchang Qin; Tao Wan 001 (ICCCI (1), 2011)

Statistical Multisensor Image Segmentation in Complex Wavelet Domains. - Tao Wan 001; Zengchang Qin (ICIAP (2), 2011)

Image scene categorization using multi-bag-of-features. - Weifeng Zhang 008; Zengchang Qin; Tao Wan 001 (ICMLC, 2011)

Topic Modeling of Chinese Language Using Character-Word Relations. - Qi Zhao; Zengchang Qin; Tao Wan 001 (ICONIP (3), 2011)

What Is the Basic Semantic Unit of Chinese Language? A Computational Approach Based on Topic Models. - Qi Zhao; Zengchang Qin; Tao Wan 001 (MOL, 2011)

Prediction and query evaluation using linguistic decision trees. - Zengchang Qin; Jonathan Lawry (Appl. Soft Comput., 2011)

An application of compressive sensing for image fusion. - Tao Wan 001; Zengchang Qin (Int. J. Comput. Math., 2011)

Image Super-Resolution Using Local Learnable Kernel Regression. - Renjie Liao; Zengchang Qin (ACCV (3), 2012)

Cross-Modal Information Retrieval - A Case Study on Chinese Wikipedia. - Yonghui Cong; Zengchang Qin; Jing Yu 007; Tao Wan 001 (ADMA, 2012)

Statistical fault localization using execution sequence. - Zunwen You; Zengchang Qin; Zheng Zheng (ICMLC, 2012)

Semi-automatic image annotation using sparse coding. - Weifeng Zhang 008; Zengchang Qin; Tao Wan 001 (ICMLC, 2012)

Cross-modal topic correlations for multimedia retrieval. - Jing Yu 007; Yonghui Cong; Zengchang Qin; Tao Wan 001 (ICPR, 2012)

An Efficient Minimum Vocabulary Construction Algorithm for Language Modeling. - Sina Lin; Zengchang Qin; Zehua Huang; Tao Wan 001 (IEA/AIE, 2012)

A Bag-of-Tones Model with MFCC Features for Musical Genre Classification. - Zengchang Qin; Wei Liu; Tao Wan 001 (ADMA (1), 2013)

Color saliency model based on mean shift segmentation. - Xu Liu; Zengchang Qin; Xiaofan Zhang 008; Tao Wan 001 (ICASSP, 2013)

A robust fusion scheme for multifocus images using sparse features. - Tao Wan 001; Zengchang Qin; Chenchen Zhu; Renjie Liao (ICASSP, 2013)

Spatial Weighting for Bag-of-Features Based Image Retrieval. - Chuanqian Wang; Baochang Zhang 001; Zengchang Qin; Junyi Xiong (IUKM, 2013)

Salient object detection in image sequences via spatial-temporal cue. - Chuang Gan 001; Zengchang Qin; Jia Xu 004; Tao Wan 001 (VCIP, 2013)

What color is an object? - Xiaofan Zhang 008; Zengchang Qin; Xu Liu; Tao Wan 001 (VCIP, 2013)

Hybrid Bayesian estimation tree learning with discrete and fuzzy labels. - Zengchang Qin; Tao Wan 001 (Frontiers Comput. Sci., 2013)

Feature integration analysis of bag-of-features model for image retrieval. - Jing Yu 007; Zengchang Qin; Tao Wan 001; Xi Zhang (Neurocomputing, 2013)

Bisociation networks analysis for business process. - Hongmei He; Zengchang Qin (Int. J. Mach. Learn. Cybern., 2013)

Multifocus image fusion based on robust principal component analysis. - Tao Wan 001; Chenchen Zhu; Zengchang Qin (Pattern Recognit. Lett., 2013)

Evolutionary Models for Agent-Based Complex Behavior Modeling. - Zengchang Qin; Yingsai Dong; Tao Wan 001 (Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013)

Uncertainty Modeling for Data Mining - A Label Semantics Approach - Zengchang Qin; Yongchuan Tang (Springer, 2014)

A confidence growing model for super-resolution. - Sina Lin; Zengchang Qin; Renjie Liao; Tao Wan 001 (ICIP, 2014)

Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology. - Tao Wan 001; Xu Liu; Jianhui Chen; Zengchang Qin (ICIP, 2014)

A Graphical Model for Collective Behavior Learning Using Minority Games. - Farhan Khawar; Zengchang Qin (PAKDD (2), 2014)

Nonparametric bayesian upstream supervised multi-modal topic models. - Renjie Liao; Jun Zhu 001; Zengchang Qin (WSDM, 2014)

Impact of Social Network Structure on Social Welfare and Inequality. - Zhuoshu Li; Zengchang Qin (Social Networks: A Framework of Computational Intelligence, 2014)

A Bag-of-phonemes Model for Homeplace Classification of Mandarin Speakers. - Hanqing Zhao; Zengchang Qin; Yiyu Wang; Yuxiao Wang (IbPRIA, 2015)

Clustering Data and Vague Concepts Using Prototype Theory Interpreted Label Semantics. - Hanqing Zhao; Zengchang Qin (IUKM, 2015)

Evolutionary collective behavior decomposition model for time series data mining. - Zengchang Qin; Tao Wan 001; Yingsai Dong; Yu Du (Appl. Soft Comput., 2015)

Stable Matching with Incomplete Information in Structured Networks. - Ying Ling; Tao Wan 001; Zengchang Qin (CoRR, 2015)

An automatic breast cancer grading method in histopathological images based on pixel-, object-, and semantic-level features. - Jiajia Cao; Zengchang Qin; Juan Jing; Jianhui Chen; Tao Wan 001 (ISBI, 2016)

An improved hybrid active contour model for nuclear segmentation on breast cancer histopathology. - Juan Jing; Tao Wan 001; Jiajia Cao; Zengchang Qin (ISBI, 2016)

A Theory of Modeling Semantic Uncertainty in Label Representation. - Zengchang Qin; Tao Wan 001; Hanqing Zhao (IUKM, 2016)

Stable Matching in Structured Networks. - Ying Ling; Tao Wan 001; Zengchang Qin (PKAW, 2016)

Learning Sentimental Weights of Mixed-gram Terms for Classification and Visualization. - Tszhang Guo; Bowen Li; Zihao Fu; Tao Wan 001; Zengchang Qin (PRICAI, 2016)

Topic modeling of Chinese language beyond a bag-of-words. - Zengchang Qin; Yonghui Cong; Tao Wan 001 (Comput. Speech Lang., 2016)

Collective game behavior learning with probabilistic graphical models. - Zengchang Qin; Farhan Khawar; Tao Wan 001 (Neurocomputing, 2016)

Topic correlation model for cross-modal multimedia information retrieval. - Zengchang Qin; Jing Yu 007; Yonghui Cong; Tao Wan 001 (Pattern Anal. Appl., 2016)

Kinetic measures for distinguishing vulnerable from stable atherosclerotic plaque with dynamic contrast-enhanced MRI. - Zengchang Qin; Yaping Wang; Wanshu Zhang; Jianhui Chen; Tao Wan 001 (ICIP, 2017)

Motif Iteration Model for Network Representation. - Lintao Lv; Zengchang Qin; Tao Wan 001 (ICONIP (5), 2017)

A Radiomics Approach for Automated Identification of Aggressive Tumors on Combined PET and Multi-parametric MRI. - Tao Wan 001; Bixiao Cui; Yaping Wang; Zengchang Qin; Jie Lu 010 (ICONIP (6), 2017)

Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis. - Yifan Liu 001; Zengchang Qin; Pengyu Li; Tao Wan 001 (IEA/AIE (1), 2017)

A Bayesian Model of Game Decomposition. - Hanqing Zhao; Zengchang Qin; Weijia Liu; Tao Wan 001 (IEA/AIE (1), 2017)

Logical Parsing from Natural Language Based on a Neural Translation Model. - Liang Li; Yifan Liu 001; Zengchang Qin; Pengyu Li; Tao Wan 001 (PACLING, 2017)

Hybrid clustering of data and vague concepts based on labels semantics. - Zengchang Qin; Tao Wan 001; Hanqing Zhao (Ann. Oper. Res., 2017)

Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks. - Yifan Liu 001; Zengchang Qin; Zhenbo Luo; Hua Wang (CoRR, 2017)

Data Augmentation in Emotion Classification Using Generative Adversarial Networks. - Xinyue Zhu; Yifan Liu 001; Zengchang Qin; Jiahong Li (CoRR, 2017)

Text Generation Based on Generative Adversarial Nets with Latent Variable. - Heng Wang; Zengchang Qin; Tao Wan 001 (CoRR, 2017)

Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features. - Tao Wan 001; Jiajia Cao; Jianhui Chen; Zengchang Qin (Neurocomputing, 2017)

Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients. - Tao Wan 001; Wanshu Zhang; Min Zhu; Jianhui Chen; Alin Achim; Zengchang Qin (Neurocomputing, 2017)

Improved Nuclear Segmentation on Histopathology Images Using a Combination of Deep Learning and Active Contour Model. - Lei Zhao; Tao Wan 001; Hongxiang Feng; Zengchang Qin (ICONIP (6), 2018)

Text Generation Based on Generative Adversarial Nets with Latent Variables. - Heng Wang; Zengchang Qin; Tao Wan 001 (PAKDD (2), 2018)

Emotion Classification with Data Augmentation Using Generative Adversarial Networks. - Xinyue Zhu; Yifan Liu 001; Jiahong Li; Tao Wan 001; Zengchang Qin (PAKDD (3), 2018)

Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. - Jing Yu 007; Yuhang Lu; Zengchang Qin; Weifeng Zhang 002; Yanbing Liu; Jianlong Tan; Li Guo 001 (PCM (1), 2018)

Automated identification and grading of coronary artery stenoses with X-ray angiography. - Tao Wan 001; Hongxiang Feng; Chao Tong 001; Deyu Li; Zengchang Qin (Comput. Methods Programs Biomed., 2018)

Textual Relationship Modeling for Cross-Modal Information Retrieval. - Jing Yu 007; Chenghao Yang; Zengchang Qin; Zhuoqian Yang; Yue Hu 002; Yanbing Liu (CoRR, 2018)

Multi-modal Learning with Prior Visual Relation Reasoning. - Zhuoqian Yang; Jing Yu 007; Chenghao Yang; Zengchang Qin; Yue Hu 002 (CoRR, 2018)

Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks. - Yifan Liu 001; Zengchang Qin; Tao Wan 001; Zhenbo Luo (Neurocomputing, 2018)

Stock Volatility Prediction Based on Self-attention Networks with Social Information. - Jie Zheng; Andi Xia; Lin Shao; Tao Wan 001; Zengchang Qin (CIFEr, 2019)

Structured Knowledge Distillation for Semantic Segmentation. - Yifan Liu 001; Ke Chen; Chris Liu; Zengchang Qin; Zhenbo Luo; Jingdong Wang 001 (CVPR, 2019)

Pixel Level Data Augmentation for Semantic Image Segmentation Using Generative Adversarial Networks. - Shuangting Liu; Jiaqi Zhang; Yuxin Chen; Yifan Liu 001; Zengchang Qin; Tao Wan 001 (ICASSP, 2019)

A Sequential Guiding Network with Attention for Image Captioning. - Daouda Sow; Zengchang Qin; Mouhamed Niasse; Tao Wan 001 (ICASSP, 2019)

Multi-Level Network for High-Speed Multi-Person Pose Estimation. - Ying Huang 003; Jiankai Zhuang; Zengchang Qin (ICIP, 2019)

Generative Cooperative Net for Image Generation and Data Augmentation. - Qiangeng Xu; Zengchang Qin; Tao Wan 001 (IUKM, 2019)

Semantic Modeling of Textual Relationships in Cross-modal Retrieval. - Jing Yu 007; Chenghao Yang; Zengchang Qin; Zhuoqian Yang; Yue Hu 002; Zhiguo Shi (KSEM (1), 2019)

FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition. - Ying Huang 003; Bin Sun; Haipeng Kan; Jiankai Zhuang; Zengchang Qin (PRCV (3), 2019)

Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks. - Tao Wan 001; Shusong Xu; Chen Sang; Yulan Jin; Zengchang Qin (Neurocomputing, 2019)

DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue. - Xiaoze Jiang; Jing Yu 007; Zengchang Qin; Yingying Zhuang; Xingxing Zhang; Yue Hu 002; Qi Wu 001 (AAAI, 2020)

Prior Visual Relationship Reasoning For Visual Question Answering. - Zhuoqian Yang; Zengchang Qin; Jing Yu 007; Tao Wan 001 (ICIP, 2020)

A Lightweight Network Model For Video Frame Interpolation Using Spatial Pyramids. - Jiankai Zhuang; Zengchang Qin; Jialu Chen; Tao Wan 001 (ICIP, 2020)

A Deep Learning Model for Early Prediction of Sepsis from Intensive Care Unit Records. - Rui Zhao 019; Tao Wan 001; Deyu Li; Zhengbo Zhang; Zengchang Qin (ICONIP (4), 2020)

Many-to-One Stable Matching for Prediction in Social Networks. - Ke Dong; Zengchang Qin; Tao Wan 001 (IEA/AIE, 2020)

DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. - Xiaoze Jiang; Jing Yu 007; Yajing Sun; Zengchang Qin; Zihao Zhu; Yue Hu 002; Qi Wu 001 (IJCAI, 2020)

KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue. - Xiaoze Jiang; Siyi Du; Zengchang Qin; Yajing Sun; Jing Yu 007 (ACM Multimedia, 2020)

Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement. - Tao Wan 001; Lei Zhao; Hongxiang Feng; Deyu Li; Chao Tong 001; Zengchang Qin (Neurocomputing, 2020)

Multimodal feature fusion by relational reasoning and attention for visual question answering. - Weifeng Zhang 002; Jing Yu 007; Hua Hu 001; Haiyang Hu; Zengchang Qin (Inf. Fusion, 2020)

Cross-modal learning with prior visual relation knowledge. - Jing Yu 007; Weifeng Zhang 002; Zhuoqian Yang; Zengchang Qin; Yue Hu 002 (Knowl. Based Syst., 2020)

Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention. - Jing Yu 007; Yuhang Lu; Weifeng Zhang 002; Zengchang Qin; Yanbing Liu; Yue Hu 002 (Pattern Recognit. Lett., 2020)

Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval. - Jing Yu 007; Weifeng Zhang 002; Yuhang Lu; Zengchang Qin; Yue Hu 002; Jianlong Tan; Qi Wu 001 (IEEE Trans. Multim., 2020)

Random Neural Graph Generation with Structure Evolution. - Yuguang Zhou; Zheng He; Tao Wan 001; Zengchang Qin (ICONIP (2), 2021)

Automatic vessel segmentation in X-ray angiogram using spatio-temporal fully-convolutional neural network. - Tao Wan 001; Jianhui Chen; Zhonghua Zhang; Deyu Li; Zengchang Qin (Biomed. Signal Process. Control., 2021)

Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue. - Jing Yu 007; Xiaoze Jiang; Zengchang Qin; Weifeng Zhang 002; Yue Hu 002; Qi Wu 001 (IEEE Trans. Image Process., 2021)

Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog. - Shunyu Zhang; Xiaoze Jiang; Zequn Yang; Tao Wan 001; Zengchang Qin (CVPR Workshops, 2022)

Sparse Double Descent: Where Network Pruning Aggravates Overfitting. - Zheng He; Zeke Xie; Quanzhi Zhu; Zengchang Qin (ICML, 2022)

Topic Modeling of Political Dynamics with Shifted Cosine Similarity. - Yifan Luo; Tao Wan 001; Zengchang Qin (IUKM, 2022)

A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images. - Junyu Ji; Tao Wan 001; Dong Chen; Hao Wang 131; Menghan Zheng; Zengchang Qin (Knowl. Based Syst., 2022)

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. - Yuhe Liu; Chuanjian Liu; Kai Han 002; Quan Tang 001; Zengchang Qin (ICCV, 2023)

Integrating MedCLIP and Cross-Modal Fusion for Automatic Radiology Report Generation. - Qianhao Han; Junyi Liu; Zengchang Qin; Zheng Zheng 005 (IEEE Big Data, 2024)

Robust Lightweight Depth Estimation Model via Data-Free Distillation. - Zihan Gao; Peng Gao; Wei Yin 006; Yifan Liu 001; Zengchang Qin (ICASSP, 2024)

Caseg: Clip-Based Action Segmentation With Learnable Text Prompt. - Suyuan Huang; Haoxin Zhang; Yanyu Xu; Yan Gao 017; Yao Hu 002; Zengchang Qin (ICIP, 2024)

S3GCN: Sport Scoring Siamese Graph Convolution Network. - Yuxi Lu; Zhuming Zhang; Shiming Lin; Dengpan Zhang; Haibin Ma; Zengchang Qin (ICIP, 2024)

LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge. - Yuhe Liu; Mengxue Kang; Zengchang Qin; Xiangxiang Chu (CoRR, 2024)

From Image to Video, what do we need in multimodal LLMs? - Suyuan Huang; Haoxin Zhang; Yan Gao 017; Yao Hu 002; Zengchang Qin (CoRR, 2024)

SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task. - Ziije Zhong; Linqing Zhong; Zhaoze Sun; Qingyun Jin; Zengchang Qin; Xiaofan Zhang 012 (CoRR, 2024)

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval. - Suyuan Huang; Chao Zhang; Yuanyuan Wu; Haoxin Zhang; Yuan Wang; Maolin Wang 001; Shaosheng Cao; Tong Xu 001; Xiangyu Zhao 001; Zengchang Qin; Yan Gao 017; Yunhan Bai; et al. (CoRR, 2024)

Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA. - Qingyun Jin; Xiaohui Song; Feng Zhou; Zengchang Qin (CoRR, 2024)

Radgen: A Cross-Modal Fusion System for Automated Radiology Report Generation. - Qianhao Han; Daniel Ding; Junyi Liu; Zengchang Qin; Zheng Zheng 005 (CBMS, 2025)

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation. - Zijie Zhong; Hanwen Liu; Xiaoya Cui; Xiaofan Zhang 012; Zengchang Qin (COLING, 2025)

SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task. - Zijie Zhong; Linqing Zhong; Zhaoze Sun; Qingyun Jin; Zengchang Qin; Xiaofan Zhang 012 (COLING, 2025)

Contrastive Instruction Fine-Tuning Large Multimodal Model for Hateful Meme Classification. - Ming Shan Hee; Zihan Gao; Yinglong Wang; Xiangxiang Chu; Roy Ka-Wei Lee; Zengchang Qin (ICWSM, 2025)

MCA: Multimodal Contrastive Augmentation for Medical Report Generation. - Junyi Liu; Tao Wan; Zengchang Qin (PAKDD (7), 2025)

CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation. - Zijie Zhong; Yunhui Zhang; Ziyi Chang; Zengchang Qin (PAKDD (1), 2025)