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2020 – today
- 2024
[c74]Zihan Gao, Peng Gao, Wei Yin, Yifan Liu, Zengchang Qin:
Robust Lightweight Depth Estimation Model via Data-Free Distillation. ICASSP 2024: 4160-4164- [i27]Zijie Zhong, Yunhui Zhang, Ziyi Chang, Zengchang Qin:
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation. CoRR abs/2402.05135 (2024) - [i26]Yuhe Liu, Mengxue Kang, Zengchang Qin, Xiangxiang Chu:
LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge. CoRR abs/2403.11570 (2024) - [i25]Suyuan Huang, Haoxin Zhang, Yan Gao, Yao Hu, Zengchang Qin:
From Image to Video, what do we need in multimodal LLMs? CoRR abs/2404.11865 (2024) - [i24]Zijie Zhong, Hanwen Liu, Xiaoya Cui, Xiaofan Zhang, Zengchang Qin:
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation. CoRR abs/2406.00456 (2024) - [i23]Ziije Zhong, Linqing Zhong, Zhaoze Sun, Qingyun Jin, Zengchang Qin, Xiaofan Zhang:
SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task. CoRR abs/2406.10710 (2024) - 2023
- [c73]Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin:
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. ICCV 2023: 821-831 - [i22]Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin:
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. CoRR abs/2308.12894 (2023) - 2022
- [j26]Junyu Ji, Tao Wan
, Dong Chen, Hao Wang, Menghan Zheng, Zengchang Qin:
A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images. Knowl. Based Syst. 256: 109820 (2022) - [c72]Shunyu Zhang, Xiaoze Jiang, Zequn Yang, Tao Wan, Zengchang Qin:
Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog. CVPR Workshops 2022: 4599-4608 - [c71]Zheng He, Zeke Xie, Quanzhi Zhu, Zengchang Qin:
Sparse Double Descent: Where Network Pruning Aggravates Overfitting. ICML 2022: 8635-8659 - [c70]Yifan Luo, Tao Wan, Zengchang Qin:
Topic Modeling of Political Dynamics with Shifted Cosine Similarity. IUKM 2022: 267-278 - [i21]Shunyu Zhang, Xiaoze Jiang, Zequn Yang, Tao Wan, Zengchang Qin:
Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog. CoRR abs/2204.04680 (2022) - [i20]Zheng He, Zeke Xie, Quanzhi Zhu, Zengchang Qin:
Sparse Double Descent: Where Network Pruning Aggravates Overfitting. CoRR abs/2206.08684 (2022) - 2021
- [j25]Tao Wan, Jianhui Chen, Zhonghua Zhang, Deyu Li, Zengchang Qin:
Automatic vessel segmentation in X-ray angiogram using spatio-temporal fully-convolutional neural network. Biomed. Signal Process. Control. 68: 102646 (2021) - [j24]Jing Yu, Xiaoze Jiang, Zengchang Qin, Weifeng Zhang, Yue Hu, Qi Wu:
Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue. IEEE Trans. Image Process. 30: 220-233 (2021) - [c69]Yuguang Zhou, Zheng He, Tao Wan, Zengchang Qin:
Random Neural Graph Generation with Structure Evolution. ICONIP (2) 2021: 87-98 - 2020
- [j23]Tao Wan, Lei Zhao, Hongxiang Feng, Deyu Li, Chao Tong, Zengchang Qin:
Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement. Neurocomputing 408: 144-156 (2020) - [j22]Weifeng Zhang, Jing Yu, Hua Hu, Haiyang Hu, Zengchang Qin:
Multimodal feature fusion by relational reasoning and attention for visual question answering. Inf. Fusion 55: 116-126 (2020) - [j21]Jing Yu, Weifeng Zhang, Zhuoqian Yang, Zengchang Qin, Yue Hu:
Cross-modal learning with prior visual relation knowledge. Knowl. Based Syst. 203: 106150 (2020) - [j20]Jing Yu, Yuhang Lu, Weifeng Zhang, Zengchang Qin, Yanbing Liu, Yue Hu:
Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention. Pattern Recognit. Lett. 130: 189-198 (2020) - [j19]Jing Yu, Weifeng Zhang, Yuhang Lu, Zengchang Qin, Yue Hu, Jianlong Tan, Qi Wu:
Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval. IEEE Trans. Multim. 22(12): 3196-3209 (2020) - [c68]Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu:
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue. AAAI 2020: 11125-11132 - [c67]Jiankai Zhuang, Zengchang Qin, Jialu Chen, Tao Wan:
A Lightweight Network Model For Video Frame Interpolation Using Spatial Pyramids. ICIP 2020: 543-547 - [c66]Zhuoqian Yang, Zengchang Qin, Jing Yu, Tao Wan:
Prior Visual Relationship Reasoning For Visual Question Answering. ICIP 2020: 1411-1415 - [c65]Rui Zhao, Tao Wan, Deyu Li, Zhengbo Zhang, Zengchang Qin:
A Deep Learning Model for Early Prediction of Sepsis from Intensive Care Unit Records. ICONIP (4) 2020: 791-798 - [c64]Ke Dong, Zengchang Qin, Tao Wan:
Many-to-One Stable Matching for Prediction in Social Networks. IEA/AIE 2020: 345-356 - [c63]Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu:
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. IJCAI 2020: 687-693 - [c62]Xiaoze Jiang, Siyi Du, Zengchang Qin, Yajing Sun, Jing Yu:
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue. ACM Multimedia 2020: 1265-1273 - [i19]Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu:
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. CoRR abs/2007.03310 (2020) - [i18]Xiaoze Jiang, Siyi Du, Zengchang Qin, Yajing Sun, Jing Yu:
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue. CoRR abs/2008.04858 (2020)
2010 – 2019
- 2019
- [j18]Tao Wan, Shusong Xu, Chen Sang, Yulan Jin, Zengchang Qin:
Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks. Neurocomputing 365: 157-170 (2019) - [c61]Jie Zheng, Andi Xia, Lin Shao, Tao Wan, Zengchang Qin:
Stock Volatility Prediction Based on Self-attention Networks with Social Information. CIFEr 2019: 1-7 - [c60]Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang:
Structured Knowledge Distillation for Semantic Segmentation. CVPR 2019: 2604-2613 - [c59]Shuangting Liu, Jiaqi Zhang, Yuxin Chen, Yifan Liu, Zengchang Qin, Tao Wan:
Pixel Level Data Augmentation for Semantic Image Segmentation Using Generative Adversarial Networks. ICASSP 2019: 1902-1906 - [c58]Daouda Sow, Zengchang Qin, Mouhamed Niasse, Tao Wan:
A Sequential Guiding Network with Attention for Image Captioning. ICASSP 2019: 3802-3806 - [c57]Ying Huang, Jiankai Zhuang, Zengchang Qin:
Multi-Level Network for High-Speed Multi-Person Pose Estimation. ICIP 2019: 589-593 - [c56]Qiangeng Xu, Zengchang Qin, Tao Wan:
Generative Cooperative Net for Image Generation and Data Augmentation. IUKM 2019: 284-294 - [c55]Jing Yu, Chenghao Yang, Zengchang Qin, Zhuoqian Yang, Yue Hu, Zhiguo Shi:
Semantic Modeling of Textual Relationships in Cross-modal Retrieval. KSEM (1) 2019: 24-32 - [c54]Ying Huang, Bin Sun, Haipeng Kan, Jiankai Zhuang, Zengchang Qin:
FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition. PRCV (3) 2019: 110-121 - [i17]Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang:
Structured Knowledge Distillation for Semantic Segmentation. CoRR abs/1903.04197 (2019) - [i16]Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu:
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue. CoRR abs/1911.07251 (2019) - [i15]Ying Huang, Bin Sun, Haipeng Kan, Jiankai Zhuang, Zengchang Qin:
FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition. CoRR abs/1911.08344 (2019) - [i14]Ying Huang, Jiankai Zhuang, Zengchang Qin:
Multi-Level Network for High-Speed Multi-Person Pose Estimation. CoRR abs/1911.11686 (2019) - 2018
- [j17]Tao Wan, Hongxiang Feng, Chao Tong, Deyu Li, Zengchang Qin:
Automated identification and grading of coronary artery stenoses with X-ray angiography. Comput. Methods Programs Biomed. 167: 13-22 (2018) - [j16]Yifan Liu, Zengchang Qin, Tao Wan, Zhenbo Luo:
Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks. Neurocomputing 311: 78-87 (2018) - [c53]Lei Zhao, Tao Wan, Hongxiang Feng, Zengchang Qin:
Improved Nuclear Segmentation on Histopathology Images Using a Combination of Deep Learning and Active Contour Model. ICONIP (6) 2018: 307-317 - [c52]Heng Wang, Zengchang Qin, Tao Wan:
Text Generation Based on Generative Adversarial Nets with Latent Variables. PAKDD (2) 2018: 92-103 - [c51]Xinyue Zhu, Yifan Liu, Jiahong Li, Tao Wan, Zengchang Qin:
Emotion Classification with Data Augmentation Using Generative Adversarial Networks. PAKDD (3) 2018: 349-360 - [c50]Jing Yu, Yuhang Lu, Zengchang Qin, Weifeng Zhang, Yanbing Liu, Jianlong Tan, Li Guo:
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. PCM (1) 2018: 223-234 - [i13]Jing Yu, Yuhang Lu, Zengchang Qin, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang:
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. CoRR abs/1802.00985 (2018) - [i12]Jing Yu, Chenghao Yang, Zengchang Qin, Zhuoqian Yang, Yue Hu, Yanbing Liu:
Textual Relationship Modeling for Cross-Modal Information Retrieval. CoRR abs/1810.13151 (2018) - [i11]Shuangting Liu, Jiaqi Zhang, Yuxin Chen, Yifan Liu, Zengchang Qin, Tao Wan:
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks. CoRR abs/1811.00174 (2018) - [i10]Daouda Sow, Zengchang Qin, Mouhamed Niasse, Tao Wan:
A sequential guiding network with attention for image captioning. CoRR abs/1811.00228 (2018) - [i9]Zhuoqian Yang, Jing Yu, Chenghao Yang, Zengchang Qin, Yue Hu:
Multi-modal Learning with Prior Visual Relation Reasoning. CoRR abs/1812.09681 (2018) - 2017
- [j15]Zengchang Qin, Tao Wan, Hanqing Zhao:
Hybrid clustering of data and vague concepts based on labels semantics. Ann. Oper. Res. 256(2): 393-416 (2017) - [j14]Tao Wan, Jiajia Cao, Jianhui Chen, Zengchang Qin:
Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features. Neurocomputing 229: 34-44 (2017) - [j13]Tao Wan, Wanshu Zhang, Min Zhu, Jianhui Chen, Alin Achim, Zengchang Qin:
Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients. Neurocomputing 237: 291-303 (2017) - [c49]Zengchang Qin, Yaping Wang, Wanshu Zhang, Jianhui Chen, Tao Wan:
Kinetic measures for distinguishing vulnerable from stable atherosclerotic plaque with dynamic contrast-enhanced MRI. ICIP 2017: 3854-3858 - [c48]Lintao Lv, Zengchang Qin, Tao Wan:
Motif Iteration Model for Network Representation. ICONIP (5) 2017: 647-656 - [c47]Tao Wan, Bixiao Cui, Yaping Wang, Zengchang Qin, Jie Lu:
A Radiomics Approach for Automated Identification of Aggressive Tumors on Combined PET and Multi-parametric MRI. ICONIP (6) 2017: 731-739 - [c46]Hanqing Zhao, Zengchang Qin, Weijia Liu, Tao Wan:
A Bayesian Model of Game Decomposition. IEA/AIE (1) 2017: 82-91 - [c45]Yifan Liu, Zengchang Qin, Pengyu Li, Tao Wan:
Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis. IEA/AIE (1) 2017: 192-201 - [c44]Liang Li, Yifan Liu, Zengchang Qin, Pengyu Li, Tao Wan:
Logical Parsing from Natural Language Based on a Neural Translation Model. PACLING 2017: 115-126 - [i8]Yifan Liu, Zengchang Qin, Zhenbo Luo, Hua Wang:
Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks. CoRR abs/1705.01908 (2017) - [i7]Yifan Liu, Zengchang Qin, Pengyu Li, Tao Wan:
Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis. CoRR abs/1705.02447 (2017) - [i6]Qiangeng Xu, Zengchang Qin, Tao Wan:
Generative Cooperative Net for Image Generation and Data Augmentation. CoRR abs/1705.02887 (2017) - [i5]Liang Li, Pengyu Li, Yifan Liu, Tao Wan, Zengchang Qin:
Logical Parsing from Natural Language Based on a Neural Translation Model. CoRR abs/1705.03389 (2017) - [i4]Lintao Lv, Zengchang Qin, Tao Wan:
Motif Iteration Model for Network Representation. CoRR abs/1710.00644 (2017) - [i3]Xinyue Zhu, Yifan Liu, Zengchang Qin, Jiahong Li:
Data Augmentation in Emotion Classification Using Generative Adversarial Networks. CoRR abs/1711.00648 (2017) - [i2]Heng Wang, Zengchang Qin, Tao Wan:
Text Generation Based on Generative Adversarial Nets with Latent Variable. CoRR abs/1712.00170 (2017) - 2016
- [j12]Zengchang Qin, Yonghui Cong, Tao Wan:
Topic modeling of Chinese language beyond a bag-of-words. Comput. Speech Lang. 40: 60-78 (2016) - [j11]Zengchang Qin, Farhan Khawar, Tao Wan:
Collective game behavior learning with probabilistic graphical models. Neurocomputing 194: 74-86 (2016) - [j10]Zengchang Qin, Jing Yu, Yonghui Cong, Tao Wan:
Topic correlation model for cross-modal multimedia information retrieval. Pattern Anal. Appl. 19(4): 1007-1022 (2016) - [c43]Jiajia Cao, Zengchang Qin, Juan Jing, Jianhui Chen, Tao Wan:
An automatic breast cancer grading method in histopathological images based on pixel-, object-, and semantic-level features. ISBI 2016: 1151-1154 - [c42]Juan Jing, Tao Wan, Jiajia Cao, Zengchang Qin:
An improved hybrid active contour model for nuclear segmentation on breast cancer histopathology. ISBI 2016: 1155-1158 - [c41]Zengchang Qin, Tao Wan, Hanqing Zhao:
A Theory of Modeling Semantic Uncertainty in Label Representation. IUKM 2016: 64-75 - [c40]Ying Ling, Tao Wan, Zengchang Qin:
Stable Matching in Structured Networks. PKAW 2016: 271-280 - [c39]Tszhang Guo, Bowen Li, Zihao Fu, Tao Wan, Zengchang Qin:
Learning Sentimental Weights of Mixed-gram Terms for Classification and Visualization. PRICAI 2016: 116-124 - 2015
- [j9]Zengchang Qin, Tao Wan, Yingsai Dong, Yu Du:
Evolutionary collective behavior decomposition model for time series data mining. Appl. Soft Comput. 26: 368-377 (2015) - [c38]Hanqing Zhao, Zengchang Qin, Yiyu Wang, Yuxiao Wang:
A Bag-of-phonemes Model for Homeplace Classification of Mandarin Speakers. IbPRIA 2015: 683-690 - [c37]Hanqing Zhao, Zengchang Qin:
Clustering Data and Vague Concepts Using Prototype Theory Interpreted Label Semantics. IUKM 2015: 236-246 - [i1]Ying Ling, Tao Wan, Zengchang Qin:
Stable Matching with Incomplete Information in Structured Networks. CoRR abs/1510.07342 (2015) - 2014
- [b2]Zengchang Qin, Yongchuan Tang:
Uncertainty Modeling for Data Mining - A Label Semantics Approach. Advanced Topics in Science and Technology in China, Springer 2014, ISBN 978-3-642-41250-9, pp. 1-291 - [c36]Tao Wan, Xu Liu, Jianhui Chen, Zengchang Qin:
Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology. ICIP 2014: 2290-2294 - [c35]Sina Lin, Zengchang Qin, Renjie Liao, Tao Wan:
A confidence growing model for super-resolution. ICIP 2014: 3929-3933 - [c34]Farhan Khawar, Zengchang Qin:
A Graphical Model for Collective Behavior Learning Using Minority Games. PAKDD (2) 2014: 284-295 - [c33]Renjie Liao, Jun Zhu, Zengchang Qin:
Nonparametric bayesian upstream supervised multi-modal topic models. WSDM 2014: 493-502 - [p3]Zhuoshu Li, Zengchang Qin:
Impact of Social Network Structure on Social Welfare and Inequality. Social Networks: A Framework of Computational Intelligence 2014: 123-144 - 2013
- [j8]Zengchang Qin, Tao Wan:
Hybrid Bayesian estimation tree learning with discrete and fuzzy labels. Frontiers Comput. Sci. 7(6): 852-863 (2013) - [j7]Jing Yu, Zengchang Qin, Tao Wan, Xi Zhang:
Feature integration analysis of bag-of-features model for image retrieval. Neurocomputing 120: 355-364 (2013) - [j6]Hongmei He, Zengchang Qin:
Bisociation networks analysis for business process. Int. J. Mach. Learn. Cybern. 4(5): 419-426 (2013) - [j5]Tao Wan, Chenchen Zhu, Zengchang Qin:
Multifocus image fusion based on robust principal component analysis. Pattern Recognit. Lett. 34(9): 1001-1008 (2013) - [c32]Zengchang Qin, Wei Liu, Tao Wan:
A Bag-of-Tones Model with MFCC Features for Musical Genre Classification. ADMA (1) 2013: 564-575 - [c31]Tao Wan, Zengchang Qin, Chenchen Zhu, Renjie Liao:
A robust fusion scheme for multifocus images using sparse features. ICASSP 2013: 1957-1961 - [c30]Xu Liu, Zengchang Qin, Xiaofan Zhang, Tao Wan:
Color saliency model based on mean shift segmentation. ICASSP 2013: 2104-2108 - [c29]Chuanqian Wang, Baochang Zhang, Zengchang Qin, Junyi Xiong:
Spatial Weighting for Bag-of-Features Based Image Retrieval. IUKM 2013: 91-100 - [c28]Chuang Gan, Zengchang Qin, Jia Xu, Tao Wan:
Salient object detection in image sequences via spatial-temporal cue. VCIP 2013: 1-6 - [c27]Xiaofan Zhang, Zengchang Qin, Xu Liu, Tao Wan:
What color is an object? VCIP 2013: 1-5 - [p2]Zengchang Qin, Yingsai Dong, Tao Wan:
Evolutionary Models for Agent-Based Complex Behavior Modeling. Artificial Intelligence, Evolutionary Computing and Metaheuristics 2013: 601-631 - [e1]Zengchang Qin, Van-Nam Huynh:
Integrated Uncertainty in Knowledge Modelling and Decision Making - International Symposium, IUKM 2013, Beijing, China, July 12-14, 2013. Proceedings. Lecture Notes in Computer Science 8032, Springer 2013, ISBN 978-3-642-39514-7 [contents] - 2012
- [c26]Renjie Liao, Zengchang Qin:
Image Super-Resolution Using Local Learnable Kernel Regression. ACCV (3) 2012: 349-360 - [c25]Yonghui Cong, Zengchang Qin, Jing Yu, Tao Wan:
Cross-Modal Information Retrieval - A Case Study on Chinese Wikipedia. ADMA 2012: 15-26 - [c24]Weifeng Zhang, Zengchang Qin, Tao Wan:
Semi-automatic image annotation using sparse coding. ICMLC 2012: 720-724 - [c23]Zunwen You, Zengchang Qin, Zheng Zheng:
Statistical fault localization using execution sequence. ICMLC 2012: 899-905 - [c22]Jing Yu, Yonghui Cong, Zengchang Qin, Tao Wan:
Cross-modal topic correlations for multimedia retrieval. ICPR 2012: 246-249 - [c21]Sina Lin, Zengchang Qin, Zehua Huang, Tao Wan:
An Efficient Minimum Vocabulary Construction Algorithm for Language Modeling. IEA/AIE 2012: 292-301 - 2011
- [j4]Zengchang Qin, Jonathan Lawry:
Prediction and query evaluation using linguistic decision trees. Appl. Soft Comput. 11(5): 3916-3928 (2011) - [j3]Tao Wan, Zengchang Qin:
An application of compressive sensing for image fusion. Int. J. Comput. Math. 88(18): 3915-3930 (2011) - [c20]Weifeng Zhang, Zengchang Qin:
Clustering data and imprecise concepts. FUZZ-IEEE 2011: 603-608 - [c19]Yu Du, Yingsai Dong, Zengchang Qin, Tao Wan:
Exploring Market Behaviors with Evolutionary Mixed-Games Learning Model. ICCCI (1) 2011: 244-253 - [c18]Tao Wan, Zengchang Qin:
Statistical Multisensor Image Segmentation in Complex Wavelet Domains. ICIAP (2) 2011: 60-68 - [c17]Weifeng Zhang, Zengchang Qin, Tao Wan:
Image scene categorization using multi-bag-of-features. ICMLC 2011: 1804-1808 - [c16]Qi Zhao, Zengchang Qin, Tao Wan:
Topic Modeling of Chinese Language Using Character-Word Relations. ICONIP (3) 2011: 139-147 - [c15]Qi Zhao, Zengchang Qin, Tao Wan:
What Is the Basic Semantic Unit of Chinese Language? A Computational Approach Based on Topic Models. MOL 2011: 143-157 - 2010
- [c14]Hongmei He, Zengchang Qin:
A k-hyperplane-based neural network for non-linear regression. IEEE ICCI 2010: 783-787 - [c13]Ying Ma, Guanyi Li, Yingsai Dong, Zengchang Qin:
Minority Game Data Mining for Stock Market Predictions. ADMI 2010: 178-189 - [c12]Tao Wan, Zengchang Qin:
An application of compressive sensing for image fusion. CIVR 2010: 3-9 - [c11]Weifeng Zhang, Zengchang Qin:
Dissimilarity measure of logical expressions. ICMLC 2010: 199-203 - [c10]Renjie Liao, Xueyao Wang, Lun Li, Zengchang Qin:
A novel serial crime prediction model based on Bayesian learning theory. ICMLC 2010: 1757-1762
2000 – 2009
- 2009
- [c9]Zengchang Qin, Marcus Thint, Zhiheng Huang:
Ranking Answers by Hierarchical Topic Models. IEA/AIE 2009: 103-112 - 2008
- [j2]Zengchang Qin, Jonathan Lawry:
LFOIL: Linguistic rule induction in the label semantics framework. Fuzzy Sets Syst. 159(4): 435-448 (2008) - [c8]Zhiheng Huang, Marcus Thint, Zengchang Qin:
Question Classification using Head Words and their Hypernyms. EMNLP 2008: 927-936 - [p1]Zengchang Qin, Jonathan Lawry:
Knowledge Discovery in a Framework for Modelling with Words. Soft Computing for Knowledge Discovery and Data Mining 2008: 241-276 - 2007
- [c7]Mirza Mohd. Sufyan Beg, Marcus Thint, Zengchang Qin:
PNL-Enhanced Restricted Domain Question Answering System. FUZZ-IEEE 2007: 1-7 - [c6]Zengchang Qin, Marcus Thint, Mirza Mohd. Sufyan Beg:
Deduction Engine Design for PNL-Based Question Answering System. IFSA (1) 2007: 253-262 - [c5]Zengchang Qin, Jonathan Lawry:
Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees. IFSA (1) 2007: 407-416 - 2006
- [c4]Zengchang Qin:
Naive Bayes Classification Given Probability Estimation Trees. ICMLA 2006: 34-42 - [c3]Zengchang Qin:
Market Mechanism Designs with Heterogeneous Trading Agents. ICMLA 2006: 69-76 - [c2]Zengchang Qin, Jonathan Lawry:
High Level Fuzzy Labels for Vague Concepts. SMPS 2006: 317-324 - 2005
- [b1]Zengchang Qin:
Learning with fuzzy labels : a random set approach towards intelligent data mining systems. University of Bristol, UK, 2005 - [j1]Zengchang Qin, Jonathan Lawry:
Decision tree learning with fuzzy labels. Inf. Sci. 172(1-2): 91-129 (2005) - [c1]Zengchang Qin, Jonathan Lawry:
Hybrid Bayesian Estimation Trees Based on Label Semantics. ECSQARU 2005: 896-907
Coauthor Index
[j26] [c72] [c70] [i21] [j25] [c69] [j23] [c67] [c66] [c65] [c64] [j18] [c61] [c59] [c58] [c56] [j17] [j16] [c53] [c52] [c51] [i11] [i10] [j15] [j14] [j13] [c49] [c48] [c47] [c46] [c45] [c44] [i7] [i6] [i5] [i4] [i2] [j12] [j11] [j10] [c43] [c42] [c41] [c40] [c39] [j9] [i1] [c36] [c35] [j8] [j7] [j5] [c32] [c31] [c30] [c28] [c27] [p2] [c25] [c24] [c22] [c21] [j3] [c19] [c18] [c17] [c16] [c15] [c12]
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last updated on 2024-10-07 21:16 CEST by the dblp team
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