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2020 – today
- 2024
[j202]Zhen-Hao Guo
, Yan-Bin Wang, Siguo Wang, Qinhu Zhang, De-Shuang Huang:
scCorrector: a robust method for integrating multi-study single-cell data. Briefings Bioinform. 25(2) (2024)- [j201]Lin Yuan, Ling Zhao, Yufeng Jiang, Zhen Shen, Qinhu Zhang, Ming Zhang, Chun-Hou Zheng, De-Shuang Huang:
scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic data. Briefings Bioinform. 25(6) (2024) - [j200]Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang:
Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer. Future Gener. Comput. Syst. 159: 204-220 (2024) - [j199]Pengrui Teng, Wenjian Liu, Xuesong Wang, Di Wu, Chang-an Yuan, Yuhu Cheng, De-Shuang Huang:
Beyond singular prototype: A prototype splitting strategy for few-shot medical image segmentation. Neurocomputing 597: 127990 (2024) - [j198]Lin Yuan, Ling Zhao, Jinling Lai, Yufeng Jiang, Qinhu Zhang, Zhen Shen, Chun-Hou Zheng, De-Shuang Huang:
iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites. PLoS Comput. Biol. 20(8): 1012399 (2024) - [j197]Zhi-Peng Li, Hai-Long Su, Yong Wu, Qinhu Zhang, Chang-an Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Hierarchical Multiview Top-k Pooling With Deep-Q-Networks. IEEE Trans. Artif. Intell. 5(6): 2985-2996 (2024) - [j196]Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang:
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association. IEEE Trans. Big Data 10(4): 320-329 (2024) - [j195]Yun Ding, Mingyang Hou, Yao Ding, Chun-Hou Zheng, Qing Yan, De-Shuang Huang:
Exploring Positional Distributions of Labeled Superpixels Within Graph Convolutional Networks for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j194]Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong:
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association. IEEE J. Biomed. Health Informatics 28(3): 1742-1751 (2024) - [j193]Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong:
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28(3): 1752-1761 (2024) - [j192]Zhi-Peng Li, Hai-Long Su, Xiaobo Zhu, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
SSPool: A Simple Siamese Framework for Graph Infomax Pooling. IEEE Trans. Netw. Sci. Eng. 11(1): 463-470 (2024) - [e80]De-Shuang Huang, Prashan Premaratne, Changan Yuan:
Applied Intelligence - First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part I. Communications in Computer and Information Science 2014, Springer 2024, ISBN 978-981-97-0902-1 [contents] - [e79]De-Shuang Huang, Prashan Premaratne, Changan Yuan:
Applied Intelligence - First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part II. Communications in Computer and Information Science 2015, Springer 2024, ISBN 978-981-97-0826-0 [contents] - [e78]De-Shuang Huang, Xiankun Zhang, Wei Chen:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14862, Springer 2024, ISBN 978-981-97-5577-6 [contents] - [e77]De-Shuang Huang, Xiankun Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14863, Springer 2024, ISBN 978-981-97-5580-6 [contents] - [e76]De-Shuang Huang, Zhanjun Si, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14864, Springer 2024, ISBN 978-981-97-5587-5 [contents] - [e75]De-Shuang Huang, Chuanlei Zhang, Wei Chen:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14865, Springer 2024, ISBN 978-981-97-5590-5 [contents] - [e74]De-Shuang Huang, Xiankun Zhang, Jiayang Guo:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14866, Springer 2024, ISBN 978-981-97-5593-6 [contents] - [e73]De-Shuang Huang, Zhanjun Si, Jiayang Guo:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14867, Springer 2024, ISBN 978-981-97-5596-7 [contents] - [e72]De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14868, Springer 2024, ISBN 978-981-97-5599-8 [contents] - [e71]De-Shuang Huang, Wei Chen, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 14869, Springer 2024, ISBN 978-981-97-5602-5 [contents] - [e70]De-Shuang Huang, Wei Chen, Jiayang Guo:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 14870, Springer 2024, ISBN 978-981-97-5605-6 [contents] - [e69]De-Shuang Huang, Chuanlei Zhang, Jiayang Guo:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part X. Lecture Notes in Computer Science 14871, Springer 2024, ISBN 978-981-97-5608-7 [contents] - [e68]De-Shuang Huang, Yijie Pan, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 14872, Springer 2024, ISBN 978-981-97-5611-7 [contents] - [e67]De-Shuang Huang, Yijie Pan, Jiayang Guo:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 14873, Springer 2024, ISBN 978-981-97-5614-8 [contents] - [e66]De-Shuang Huang, Wei Chen, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part XIII. Lecture Notes in Computer Science 14874, Springer 2024, ISBN 978-981-97-5617-9 [contents] - [e65]De-Shuang Huang, Xiankun Zhang, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNAI). Lecture Notes in Computer Science 14875, Springer 2024, ISBN 978-981-97-5662-9 [contents] - [e64]De-Shuang Huang, Chuanlei Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part II (LNAI). Lecture Notes in Computer Science 14876, Springer 2024, ISBN 978-981-97-5665-0 [contents] - [e63]De-Shuang Huang, Zhanjun Si, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14877, Springer 2024, ISBN 978-981-97-5668-1 [contents] - [e62]De-Shuang Huang, Zhanjun Si, Chuanlei Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part IV (LNAI). Lecture Notes in Computer Science 14878, Springer 2024, ISBN 978-981-97-5671-1 [contents] - [e61]De-Shuang Huang, Xiankun Zhang, Chuanlei Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part V (LNAI). Lecture Notes in Computer Science 14879, Springer 2024, ISBN 978-981-97-5674-2 [contents] - [e60]De-Shuang Huang, Zhanjun Si, Wei Chen:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part VI (LNAI). Lecture Notes in Computer Science 14880, Springer 2024, ISBN 978-981-97-5677-3 [contents] - [e59]De-Shuang Huang, Qinhu Zhang, Jiayang Guo:
Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNBI). Lecture Notes in Computer Science 14881, Springer 2024, ISBN 978-981-97-5688-9 [contents] - [e58]De-Shuang Huang, Yijie Pan, Qinhu Zhang:
Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part II (LNBI). Lecture Notes in Computer Science 14882, Springer 2024, ISBN 978-981-97-5691-9 [contents] - [i9]Zejun Gu, Zhong-Qiu Zhao, Henghui Ding, Hao Shen, Zhao Zhang, De-Shuang Huang:
Cross-Domain Knowledge Distillation for Low-Resolution Human Pose Estimation. CoRR abs/2405.11448 (2024) - 2023
- [j191]Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang:
Computational prediction and characterization of cell-type-specific and shared binding sites. Bioinform. 39(1) (2023) - [j190]Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang:
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. PLoS Comput. Biol. 19(8) (2023) - [j189]Hai-Long Su, Zhi-Peng Li, Xiaobo Zhu, Li-Na Yang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, Anthony G. Cohn, De-Shuang Huang:
Hierarchical Graph Neural Network Based on Semi-Implicit Variational Inference. IEEE Trans. Cogn. Dev. Syst. 15(2): 887-895 (2023) - [j188]Yong Wu, Guo-Dui He, Li-Hua Wen, Xiao Qin, Chang-an Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification. IEEE Trans. Biom. Behav. Identity Sci. 5(1): 1-14 (2023) - [j187]Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang:
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 616-624 (2023) - [j186]Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuan-Nong Ye, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2690-2699 (2023) - [j185]Lei Wang, Zhu-Hong You, De-Shuang Huang, Jianqiang Li:
MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association. IEEE Trans. Cybern. 53(1): 67-75 (2023) - [j184]He Li, Duo Jin, Xuejiao Li, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Deshuang Huang, Shaojie Qiao, Jaesoo Yoo:
DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction. ACM Trans. Knowl. Discov. Data 17(7): 97:1-97:19 (2023) - [j183]Xiaorui Su, Zhuhong You, Deshuang Huang, Lei Wang, Leon Wong, Boya Ji, Bowei Zhao:
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction. IEEE Trans. Knowl. Data Eng. 35(6): 5640-5651 (2023) - [c100]Tianying Yan, Changhai Wang, Changan Yuan, De-Shuang Huang:
A Broader Study of Spectral Missing in Multi-spectral Vehicle Re-identification. ICAI (2) 2023: 51-63 - [c99]Lei Huang, De-Shuang Huang, Yuan Yuan Chen, Yu Zhong Peng, Chao Wang, Jianping Liao:
FasterPlateNet: A Faster Deep Neural Network for License Plate Detection and Recognition. ICAI (1) 2023: 200-208 - [e57]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14086, Springer 2023, ISBN 978-981-99-4754-6 [contents] - [e56]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14087, Springer 2023, ISBN 978-981-99-4741-6 [contents] - [e55]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14088, Springer 2023, ISBN 978-981-99-4748-5 [contents] - [e54]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14089, Springer 2023, ISBN 978-981-99-4751-5 [contents] - [e53]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14090, Springer 2023, ISBN 978-981-99-4760-7 [contents] - 2022
- [j182]Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Chee Keong Kwoh:
Graph representation learning in bioinformatics: trends, methods and applications. Briefings Bioinform. 23(1) (2022) - [j181]De-Shuang Huang:
Recent development on intelligent computing. Neurocomputing 488: 412-413 (2022) - [j180]Qinhu Zhang, Ying He, Siguo Wang, Zhanheng Chen, Zhen-Hao Guo, Zhen Cui, Qi Liu, De-Shuang Huang:
Base-resolution prediction of transcription factor binding signals by a deep learning framework. PLoS Comput. Biol. 18(3) (2022) - [j179]Siguo Wang, Qinhu Zhang, Ying He, Zhen Cui, Zhen-Hao Guo, Kyungsook Han, De-Shuang Huang:
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes. PLoS Comput. Biol. 18(10): 1010572 (2022) - [j178]Hao Shen, Zhong-Qiu Zhao, Wenrui Liao, Weidong Tian, De-Shuang Huang:
Joint operation and attention block search for lightweight image restoration. Pattern Recognit. 132: 108909 (2022) - [j177]Zhi-Peng Li, Hai-Long Su, Xiaobo Zhu, Xiumei Wei, Xuesong Jiang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Hierarchical Graph Pooling With Self-Adaptive Cluster Aggregation. IEEE Trans. Cogn. Dev. Syst. 14(3): 1198-1207 (2022) - [j176]Zhen Shen, Qinhu Zhang, Kyungsook Han, De-Shuang Huang:
A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 753-762 (2022) - [j175]De-Shuang Huang, Kyungsook Han, Tatsuya Akutsu:
Guest Editorial for Special Section on the 16th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3124-3125 (2022) - [j174]Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3144-3153 (2022) - [j173]Zhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3663-3672 (2022) - [j172]He Li, Xuejiao Li, Liangcai Su, Duo Jin, Jianbin Huang, Deshuang Huang:
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction. ACM Trans. Intell. Syst. Technol. 13(2): 19:1-19:21 (2022) - [j171]Jianbin Huang, Longji Huang, Meijuan Liu, He Li, Qinglin Tan, Xiaoke Ma, Jiangtao Cui, De-Shuang Huang:
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms. ACM Trans. Intell. Syst. Technol. 13(3): 41:1-41:19 (2022) - [j170]Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang, Xiao-Rui Su, Bo-Wei Zhao:
NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 26(10): 5075-5084 (2022) - [e52]De-Shuang Huang, Kang-Hyun Jo, Junfeng Jing, Prashan Premaratne, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Theories and Application - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13393, Springer 2022, ISBN 978-3-031-13869-0 [contents] - [e51]De-Shuang Huang, Kang-Hyun Jo, Junfeng Jing, Prashan Premaratne, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Theories and Application - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13394, Springer 2022, ISBN 978-3-031-13828-7 [contents] - [e50]De-Shuang Huang, Kang-Hyun Jo, Junfeng Jing, Prashan Premaratne, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Methodologies - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13395, Springer 2022, ISBN 978-3-031-13831-7 [contents] - [i8]Qi Lai, Jianhang Zhou, Yanfen Gan, Chi-Man Vong, Deshuang Huang:
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification. CoRR abs/2209.02625 (2022) - 2021
- [j169]Zhen-Hao Guo, Zhu-Hong You, De-Shuang Huang, Hai-Cheng Yi, Kai Zheng, Zhan-Heng Chen, Yan-Bin Wang:
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. Briefings Bioinform. 22(2): 2085-2095 (2021) - [j168]Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, De-Shuang Huang:
A survey on deep learning in DNA/RNA motif mining. Briefings Bioinform. 22(4) (2021) - [j167]Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, De-Shuang Huang:
Locating transcription factor binding sites by fully convolutional neural network. Briefings Bioinform. 22(5) (2021) - [j166]Qinhu Zhang, Vitoantonio Bevilacqua, De-Shuang Huang:
Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era. Neurocomputing 452: 508-509 (2021) - [j165]Yi Pan, De-Shuang Huang, Jian-Xin Wang, Fa Zhang:
Preface. J. Comput. Sci. Technol. 36(2): 231-233 (2021) - [j164]Yong Wu, Kun Zhang, Di Wu, Chao Wang, Chang-an Yuan, Xiao Qin, Tao Zhu, Yuchuan Du, Hanli Wang, De-Shuang Huang:
Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask. IEEE Trans. Cogn. Dev. Syst. 13(4): 865-874 (2021) - [j163]Qinhu Zhang, Zhen Shen, De-Shuang Huang:
Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 667-676 (2021) - [j162]De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 15th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1730-1732 (2021) - [j161]Qinhu Zhang, Dailun Wang, Kyungsook Han, De-Shuang Huang:
Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1743-1751 (2021) - [j160]Qinhu Zhang, Wenbo Yu, Kyungsook Han, Asoke K. Nandi, De-Shuang Huang:
Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1793-1800 (2021) - [j159]Hai-Cheng Yi, Zhu-Hong You, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan:
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2546-2554 (2021) - [j158]Di Wu, Chao Wang, Yong Wu, Qicong Wang, De-Shuang Huang:
Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 70-78 (2021) - [j157]Van-Thanh Hoang, De-Shuang Huang, Kang-Hyun Jo:
3-D Facial Landmarks Detection for Intelligent Video Systems. IEEE Trans. Ind. Informatics 17(1): 578-586 (2021) - [e49]De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya V. Gribova, Vitoantonio Bevilacqua:
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12836, Springer 2021, ISBN 978-3-030-84521-6 [contents] - [e48]De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya V. Gribova, Abir Hussain:
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12837, Springer 2021, ISBN 978-3-030-84528-5 [contents] - [e47]De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya V. Gribova, Prashan Premaratne:
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12838, Springer 2021, ISBN 978-3-030-84531-5 [contents] - 2020
- [j156]Lei Wang, Zhu-Hong You, Yu-An Huang, De-Shuang Huang, Keith C. C. Chan:
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network. Bioinform. 36(13): 4038-4046 (2020) - [j155]De-Shuang Huang:
Special issue on advanced intelligent computing: Theory and applications. Neurocomputing 408: 188 (2020) - [j154]Qinhu Zhang, Lin Zhu, Wenzheng Bao, De-Shuang Huang:
Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 679-689 (2020) - [j153]Lei Wang, Zhu-Hong You, De-Shuang Huang, Fengfeng Zhou:
Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 972-980 (2020) - [j152]De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1474-1475 (2020) - [j151]Zhen Shen, Su-Ping Deng, De-Shuang Huang:
Capsule Network for Predicting RNA-Protein Binding Preferences Using Hybrid Feature. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1483-1492 (2020) - [j150]Chen Peng, Yang Zheng, De-Shuang Huang:
Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1605-1612 (2020) - [j149]Zhen Shen, Su-Ping Deng, De-Shuang Huang:
RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1741-1750 (2020) - [c98]Hai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo:
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model. ICIC (2) 2020: 339-347 - [e46]De-Shuang Huang, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12463, Springer 2020, ISBN 978-3-030-60798-2 [contents] - [e45]De-Shuang Huang, Kang-Hyun Jo:
Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12464, Springer 2020, ISBN 978-3-030-60801-9 [contents] - [e44]De-Shuang Huang, Prashan Premaratne:
Intelligent Computing Methodologies - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12465, Springer 2020, ISBN 978-3-030-60795-1 [contents]
2010 – 2019
- 2019
- [j148]Di Wu, Hong-Wei Yang, De-Shuang Huang, Chang-An Yuan, Xiao Qin, Yang Zhao, Xin-Yong Zhao, Jian-Hong Sun:
Omnidirectional Feature Learning for Person Re-Identification. IEEE Access 7: 28402-28411 (2019) - [j147]Wenzheng Bao, Bin Yang, De-Shuang Huang, Dong Wang, Qi Liu, Yuehui Chen, Rong Bao:
IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC. IEEE Access 7: 54073-54083 (2019) - [j146]De-Shuang Huang:
Guest editorial for special section on the 13th international conference on intelligent computing (ICIC). Cogn. Syst. Res. 53: 1-2 (2019) - [j145]Di Wu, Si-Jia Zheng, Chang-An Yuan, De-Shuang Huang:
A deep model with combined losses for person re-identification. Cogn. Syst. Res. 54: 74-82 (2019) - [j144]Di Wu, Si-Jia Zheng, Wenzheng Bao, Xiao-Ping (Steven) Zhang, Chang-An Yuan, De-Shuang Huang:
A novel deep model with multi-loss and efficient training for person re-identification. Neurocomputing 324: 69-75 (2019) - [j143]Di Wu, Si-Jia Zheng, Xiao-Ping (Steven) Zhang, Chang-An Yuan, Fei Cheng, Yang Zhao, Yong-Jun Lin, Zhong-Qiu Zhao, Yong-Li Jiang, De-Shuang Huang:
Deep learning-based methods for person re-identification: A comprehensive review. Neurocomputing 337: 354-371 (2019) - [j142]Bo Li, Zhang-Tao Fan, Xiao-Long Zhang, De-Shuang Huang:
Robust dimensionality reduction via feature space to feature space distance metric learning. Neural Networks 112: 1-14 (2019) - [j141]De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 749-750 (2019) - [j140]Lin Yuan, Lehang Guo, Chang-an Yuan, Youhua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang:
Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 782-791 (2019) - [j139]Qinhu Zhang, Lin Zhu, De-Shuang Huang:
High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1184-1192 (2019) - [j138]Xianpeng Liang, Di Wu, De-Shuang Huang:
Image Co-Segmentation via Locally Biased Discriminative Clustering. IEEE Trans. Knowl. Data Eng. 31(11): 2228-2233 (2019) - [c97]Andong Li, Di Wu, De-Shuang Huang, Lijun Zhang:
Convolutional Capsule-Based Network for Person Re-identification. ICIC (1) 2019: 304-311 - [c96]Jiangchuan Wei, Hanli Wang, Yun Yi, Qinyu Li, Deshuang Huang:
P3D-CTN: Pseudo-3D Convolutional Tube Network for Spatio-Temporal Action Detection in Videos. ICIP 2019: 300-304 - [c95]Yihao Chen, Hanli Wang, Qinyu Li, Deshuang Huang:
Data Driven Regularization for Convolutional Neural Networks on Image Classification. ISCAS 2019: 1-5 - [e43]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne:
Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11643, Springer 2019, ISBN 978-3-030-26762-9 [contents] - [e42]De-Shuang Huang, Kang-Hyun Jo, Zhi-Kai Huang:
Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11644, Springer 2019, ISBN 978-3-030-26968-5 [contents] - [e41]De-Shuang Huang, Zhi-Kai Huang, Abir Hussain:
Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11645, Springer 2019, ISBN 978-3-030-26765-0 [contents] - [i7]Di Wu, Chao Wang, Yong Wu, De-Shuang Huang:
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification. CoRR abs/1911.10335 (2019) - 2018
- [j137]Chen Peng, Liang Zou, De-Shuang Huang:
Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion. IEEE Access 6: 59152-59162 (2018) - [j136]Bin Liu, Fan Yang, De-Shuang Huang, Kuo-Chen Chou:
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC. Bioinform. 34(1): 33-40 (2018) - [j135]Bin Liu, Fan Weng, De-Shuang Huang, Kuo-Chen Chou:
iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC. Bioinform. 34(18): 3086-3093 (2018) - [j134]Bin Liu, Kai Li, De-Shuang Huang, Kuo-Chen Chou:
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach. Bioinform. 34(22): 3835-3842 (2018) - [j133]Xianpeng Liang, De-Shuang Huang:
Image segmentation fusion using weakly supervised trace-norm multi-task learning method. IET Image Process. 12(7): 1079-1085 (2018) - [j132]Lin Zhu, Hong-Bo Zhang, De-Shuang Huang:
LMMO: A Large Margin Approach for Refining Regulatory Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 913-925 (2018) - [j131]Xianpeng Liang, Lin Zhu, De-Shuang Huang:
Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 1016-1021 (2018) - [j130]De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1433-1435 (2018) - [j129]Wenzheng Bao, Chang-An Yuan, Youhua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang:
Mutli-Features Prediction of Protein Translational Modification Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1453-1460 (2018) - [j128]Hongbo Zhang, Lin Zhu, De-Shuang Huang:
DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1810-1820 (2018) - [c94]Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Paulo Lisboa, De-Shuang Huang, Naeem Radi:
Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. CEC 2018: 1-7 - [c93]Si-Jia Zheng, Di Wu, Fei Cheng, Yang Zhao, Chang-An Yuan, Xiao Qin, De-Shuang Huang:
A Simple and Effective Deep Model for Person Re-identification. ICIC (3) 2018: 223-228 - [c92]Di Wu, Si-Jia Zheng, Fei Cheng, Yang Zhao, Chang-An Yuan, Xiao Qin, Yong-Li Jiang, De-Shuang Huang:
A Hybrid Deep Model for Person Re-Identification. ICIC (3) 2018: 229-234 - [e40]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, Phalguni Gupta:
Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10954, Springer 2018, ISBN 978-3-319-95929-0 [contents] - [e39]De-Shuang Huang, Kang-Hyun Jo, Xiaolong Zhang:
Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10955, Springer 2018, ISBN 978-3-319-95932-0 [contents] - [e38]De-Shuang Huang, M. Michael Gromiha, Kyungsook Han, Abir Hussain:
Intelligent Computing Methodologies - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III. Lecture Notes in Computer Science 10956, Springer 2018, ISBN 978-3-319-95956-6 [contents] - [i6]Di Wu, Kun Zhang, Si-Jia Zheng, De-Shuang Huang:
Random Occlusion-recovery for Person Re-identification. CoRR abs/1809.09970 (2018) - [i5]Di Wu, Hong-Wei Yang, De-Shuang Huang:
Omni-directional Feature Learning for Person Re-identification. CoRR abs/1812.05319 (2018) - 2017
- [j127]Lin Zhu, Hong-Bo Zhang, De-Shuang Huang:
Direct AUC optimization of regulatory motifs. Bioinform. 33(14): i243-i251 (2017) - [j126]Wenzheng Bao, Zhichao Jiang, De-Shuang Huang:
Novel human microbe-disease association prediction using network consistency projection. BMC Bioinform. 18(16): 173-181 (2017) - [j125]Zhen Shen, You-Hua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang:
miRNA-Disease Association Prediction with Collaborative Matrix Factorization. Complex. 2017: 2498957:1-2498957:9 (2017) - [j124]Lin Yuan, Chang-An Yuan, De-Shuang Huang:
FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis. Complex. 2017: 5024867:1-5024867:10 (2017) - [j123]Wenzheng Bao, Zhenhua Huang, Chang-An Yuan, De-Shuang Huang:
Pupylation sites prediction with ensemble classification model. Int. J. Data Min. Bioinform. 18(2): 91-104 (2017) - [j122]Lin Zhu, Suping Deng, De-Shuang Huang:
Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications. Neurocomputing 228: 1-2 (2017) - [j121]Xianpeng Liang, Lin Zhu, De-Shuang Huang:
Multi-task ranking SVM for image cosegmentation. Neurocomputing 247: 126-136 (2017) - [j120]Byungmin Kim, Saud Alguwaizani, Xiang Zhou, De-Shuang Huang, Byunkyu Park, Kyungsook Han:
An improved method for predicting interactions between virus and human proteins. J. Bioinform. Comput. Biol. 15(1): 1650024:1-1650024:17 (2017) - [j119]Fei Han, Chun Yang, Ya-Qi Wu, Jiansheng Zhu, Qing-Hua Ling, Yuqing Song, De-Shuang Huang:
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 85-96 (2017) - [j118]Lin Zhu, Suping Deng, Zhu-Hong You, De-Shuang Huang:
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 345-352 (2017) - [j117]Feng He, Guanghui Zhu, Yin-Ying Wang, Xing-Ming Zhao, De-Shuang Huang:
PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 678-686 (2017) - [j116]De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1104-1105 (2017) - [j115]Su-Ping Deng, Shaolong Cao, De-Shuang Huang, Yu-Ping Wang:
Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1147-1153 (2017) - [j114]Lin Yuan, Lin Zhu, Wei-Li Guo, Xiaobo Zhou, Youhua Zhang, Zhenhua Huang, De-Shuang Huang:
Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1154-1164 (2017) - [c91]Hongbo Zhang, De-Shuang Huang:
Soft-bag based motif discovery for ChIP-seq datasets. BIBM 2017: 146-149 - [c90]Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang:
Convex local sensitive low rank matrix approximation. IJCNN 2017: 256-261 - [c89]Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang:
Cross-validated smooth multi-instance learning. IJCNN 2017: 1321-1325 - [e37]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, Phalguni Gupta:
Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10361, Springer 2017, ISBN 978-3-319-63308-4 [contents] - [e36]De-Shuang Huang, Kang-Hyun Jo, Juan Carlos Figueroa-García:
Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10362, Springer 2017, ISBN 978-3-319-63311-4 [contents] - [e35]De-Shuang Huang, Abir Hussain, Kyungsook Han, M. Michael Gromiha:
Intelligent Computing Methodologies - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10363, Springer 2017, ISBN 978-3-319-63314-5 [contents] - 2016
- [j113]Wei-Li Guo, Lin Zhu, Suping Deng, Xing-Ming Zhao, Deshuang Huang:
Understanding tissue-specificity with human tissue-specific regulatory networks. Sci. China Inf. Sci. 59(7): 070105:1-070105:10 (2016) - [j112]Yoonsuck Choe, Asim Roy, Haibo He, De-Shuang Huang:
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports]. IEEE Comput. Intell. Mag. 11(1): 8-10 (2016) - [j111]Lin Zhu, Vitoantonio Bevilacqua, De-Shuang Huang:
Special issue on Advanced Intelligent Computing Methodologies and Applications. Neurocomputing 188: 1-2 (2016) - [j110]Hai Min, Xiao-Feng Wang, De-Shuang Huang, Wei Jia:
A novel dual minimization based level set method for image segmentation. Neurocomputing 214: 910-926 (2016) - [j109]De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC). IEEE ACM Trans. Comput. Biol. Bioinform. 13(1): 1-3 (2016) - [j108]Suping Deng, Lin Zhu, De-Shuang Huang:
Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 13(1): 27-35 (2016) - [j107]Lin Zhu, Wei-Li Guo, Suping Deng, De-Shuang Huang:
ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 13(1): 55-63 (2016) - [j106]Wen Jiang, De-Shuang Huang, Shenghong Li:
Random Walk-Based Solution to Triple Level Stochastic Point Location Problem. IEEE Trans. Cybern. 46(6): 1438-1451 (2016) - [c88]Lin Zhu, Ning Li, Wenzheng Bao, De-Shuang Huang:
Learning regulatory motifs by direct optimization of Fisher Exact Test Score. BIBM 2016: 86-91 - [c87]Wenzheng Bao, Lin Zhu, De-Shuang Huang:
ILSES: Identification lysine succinylation-sites with ensemble classification. BIBM 2016: 274-277 - [c86]Wei-Li Guo, Kyungsook Han, De-Shuang Huang:
Analysis of MicroRNA and Transcription Factor Regulation. ICIC (1) 2016: 278-284 - [c85]Wei-Li Guo, Kyungsook Han, De-Shuang Huang:
Prediction of Target Genes Based on Multiway Integration of High-Throughput Data. ICIC (1) 2016: 455-460 - [c84]Lin Yuan, Kyungsook Han, De-Shuang Huang:
Novel Algorithm for Multiple Quantitative Trait Loci Mapping by Using Bayesian Variable Selection Regression. ICIC (3) 2016: 862-868 - [c83]Wenzheng Bao, Zhichao Jiang, Kyungsook Han, De-Shuang Huang:
Prediction of Lysine Acetylation Sites Based on Neural Network. ICIC (2) 2016: 873-879 - [c82]Gang Wang, De-Shuang Huang:
Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network. IJCNN 2016: 471-476 - [c81]Qing-Yi Liu, Lin Zhu, De-Shuang Huang, Gang Wang, Xiao-Ping (Steven) Zhang, Li Shang, Zhi-Kai Huang:
Visual data completion via local sensitive low rank tensor learning. IJCNN 2016: 2693-2698 - [e34]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne:
Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9771, Springer 2016, ISBN 978-3-319-42290-9 [contents] - [e33]De-Shuang Huang, Kang-Hyun Jo:
Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9772, Springer 2016, ISBN 978-3-319-42293-0 [contents] - [e32]De-Shuang Huang, Kyungsook Han, Abir Hussain:
Intelligent Computing Methodologies - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9773, Springer 2016, ISBN 978-3-319-42296-1 [contents] - 2015
- [j105]Xing-Ming Zhao, Keqin Liu, Guanghui Zhu, Feng He, Béatrice Duval, Jean-Michel Richer, De-Shuang Huang, Changjun Jiang, Jin-Kao Hao, Luonan Chen:
Identifying cancer-related microRNAs based on gene expression data. Bioinform. 31(8): 1226-1234 (2015) - [j104]Zhiwei Ji, Guanmin Meng, Deshuang Huang, Xiao-Qiang Yue, Bing Wang:
NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma. Comput. Math. Methods Medicine 2015: 846942:1-846942:12 (2015) - [j103]Suping Deng, De-Shuang Huang:
An integrated strategy for functional analysis of microbial communities based on gene ontology and 16S rRNA gene. Int. J. Data Min. Bioinform. 13(1): 63-74 (2015) - [j102]De-Shuang Huang:
Special issue on advanced intelligent computing theories and applications. Neurocomputing 151: 953-954 (2015) - [j101]Hai Min, Xiao-Feng Wang, De-Shuang Huang, Jing Jin, Hongzhi Wang, Hai Li:
Level set method for image segmentation based on moment competition. J. Electronic Imaging 24(3): 033020 (2015) - [c80]Lin Zhu, Wei-Li Guo, De-Shuang Huang, Canyi Lu:
Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding. BIBM 2015: 141-144 - [c79]Hongbo Zhang, Lin Zhu, Deshuang Huang:
DiscMLA: AUC-based discriminative motif learning. BIBM 2015: 250-255 - [c78]Fei Han, Dan Yang, Qing-Hua Ling, De-Shuang Huang:
A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization. IJCNN 2015: 1-7 - [e31]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne:
Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9225, Springer 2015, ISBN 978-3-319-22179-3 [contents] - [e30]De-Shuang Huang, Kang-Hyun Jo, Abir Jaafar Hussain:
Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9226, Springer 2015, ISBN 978-3-319-22185-4 [contents] - [e29]De-Shuang Huang, Kyungsook Han:
Advanced Intelligent Computing Theories and Applications - 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III. Lecture Notes in Computer Science 9227, Springer 2015, ISBN 978-3-319-22052-9 [contents] - [i4]Canyi Lu, De-Shuang Huang:
Optimized Projection for Sparse Representation Based Classification. CoRR abs/1502.00115 (2015) - 2014
- [j100]De-Shuang Huang:
Special issue on advanced intelligent computing theories and methodologies. Neurocomputing 137: 1-2 (2014) - [j99]Lin Zhu, De-Shuang Huang:
A Rayleigh-Ritz style method for large-scale discriminant analysis. Pattern Recognit. 47(4): 1698-1708 (2014) - [c77]Lin Zhu, Suping Deng, De-Shuang Huang:
A two-stage geometric method for detecting unreliable links in protein-protein networks. BIBM 2014: 31-36 - [c76]Xiao Wang, Guo-Zheng Li, Qiuwen Zhang, Deshuang Huang:
MultiP-SChlo: Multi-label protein subchloroplast localization prediction. BIBM 2014: 86-89 - [c75]Jair Cervantes, De-Shuang Huang, Farid García-Lamont, Asdrúbal López Chau:
A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets. ICIC (1) 2014: 782-788 - [c74]Jing-Hua Yuan, De-Shuang Huang, Hao-Dong Zhu, Yong Gan:
Completed hybrid local binary pattern for texture classification. IJCNN 2014: 2050-2057 - [c73]Lin Zhu, Zhu-Hong You, De-Shuang Huang:
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. ISBRA 2014: 138-148 - [c72]Hai Min, Xiao-Feng Wang, De-Shuang Huang:
A novel texture image segmentation model based on multi-scale structure. MFI 2014: 1-6 - [e28]De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne:
Intelligent Computing Theory - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings. Lecture Notes in Computer Science 8588, Springer 2014, ISBN 978-3-319-09332-1 [contents] - [e27]De-Shuang Huang, Kang-Hyun Jo, Ling Wang:
Intelligent Computing Methodologies - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings. Lecture Notes in Computer Science 8589, Springer 2014, ISBN 978-3-319-09338-3 [contents] - [e26]De-Shuang Huang, Kyungsook Han, M. Michael Gromiha:
Intelligent Computing in Bioinformatics - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings. Lecture Notes in Computer Science 8590, Springer 2014, ISBN 978-3-319-09329-1 [contents] - [i3]Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan:
Robust and Efficient Subspace Segmentation via Least Squares Regression. CoRR abs/1404.6736 (2014) - 2013
- [j98]Can-Yi Lu, De-Shuang Huang:
Optimized projections for sparse representation based classification. Neurocomputing 113: 213-219 (2013) - [j97]Jian-Xun Mi, De-Shuang Huang, Bing Wang, Xingjie Zhu:
The nearest-farthest subspace classification for face recognition. Neurocomputing 113: 241-250 (2013) - [j96]De-Shuang Huang, DeLiang Wang:
Special issue on advanced theory and methodology in intelligent computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011). Neurocomputing 116: 1-2 (2013) - [j95]Lin Zhu, De-Shuang Huang:
Efficient optimally regularized discriminant analysis. Neurocomputing 117: 12-21 (2013) - [j94]Lin Zhu, Zhu-Hong You, De-Shuang Huang:
Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding. Neurocomputing 121: 99-107 (2013) - [j93]Hong-Jie Yu, De-Shuang Huang:
Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 457-467 (2013) - [j92]Hong-Jie Yu, De-Shuang Huang:
Graphical Representation for DNA Sequences via Joint Diagonalization of Matrix Pencil. IEEE J. Biomed. Health Informatics 17(3): 503-511 (2013) - [c71]Suping Deng, Jing-Hua Yuan, Deshuang Huang, Zhen Wang:
SFAPS: An R package for structure/function analysis of protein sequences based on informational spectrum method. BIBM 2013: 29-34 - [c70]Bing Wang, De-Shuang Huang:
Dataset reconstruction for protein interface identification using manifold learning method. BIBM 2013: 398-403 - [c69]Jair Cervantes, De-Shuang Huang, Xiaoou Li, Wen Yu:
A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm. CIARP (2) 2013: 342-349 - [c68]Kai Yang, Deshuang Huang:
Mathematical Inference and Application of Expectation-Maximization Algorithm in the Construction of Phylogenetic Tree. ICIC (2) 2013: 260-266 - [e25]De-Shuang Huang, Phalguni Gupta, Ling Wang, M. Michael Gromiha:
Emerging Intelligent Computing Technology and Applications - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings. Communications in Computer and Information Science 375, Springer 2013, ISBN 978-3-642-39677-9 [contents] - [e24]De-Shuang Huang, Vitoantonio Bevilacqua, Juan Carlos Figueroa García, Prashan Premaratne:
Intelligent Computing Theories - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings. Lecture Notes in Computer Science 7995, Springer 2013, ISBN 978-3-642-39478-2 [contents] - [e23]De-Shuang Huang, Kang-Hyun Jo, Yong-Quan Zhou, Kyungsook Han:
Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings. Lecture Notes in Computer Science 7996, Springer 2013, ISBN 978-3-642-39481-2 [contents] - 2012
- [j91]M. Michael Gromiha, De-Shuang Huang:
Introduction: advanced intelligent computing theories and their applications in bioinformatics. BMC Bioinform. 13(S-7): I1 (2012) - [j90]Ying-Ke Lei, Zhuhong You, Zhen Ji, Lin Zhu, De-Shuang Huang:
Assessing and predicting protein interactions by combining manifold embedding with multiple information integration. BMC Bioinform. 13(S-7): S3 (2012) - [j89]Shu-Ling Wang, Yi-Hai Zhu, Wei Jia, De-Shuang Huang:
Robust Classification Method of Tumor Subtype by Using Correlation Filters. IEEE ACM Trans. Comput. Biol. Bioinform. 9(2): 580-591 (2012) - [j88]Yang Zhao, De-Shuang Huang, Wei Jia:
Completed Local Binary Count for Rotation Invariant Texture Classification. IEEE Trans. Image Process. 21(10): 4492-4497 (2012) - [j87]Rong-Xiang Hu, Wei Jia, Haibin Ling, Deshuang Huang:
Multiscale Distance Matrix for Fast Plant Leaf Recognition. IEEE Trans. Image Process. 21(11): 4667-4672 (2012) - [j86]De-Shuang Huang, Wen Jiang:
A General CPL-AdS Methodology for Fixing Dynamic Parameters in Dual Environments. IEEE Trans. Syst. Man Cybern. Part B 42(5): 1489-1500 (2012) - [c67]Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan:
Robust and Efficient Subspace Segmentation via Least Squares Regression. ECCV (7) 2012: 347-360 - [c66]Lin Zhu, De-Shuang Huang:
A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis. IJCNN 2012: 1-8 - [e22]De-Shuang Huang, Phalguni Gupta, Xiang Zhang, Prashan Premaratne:
Emerging Intelligent Computing Technology and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings. Communications in Computer and Information Science 304, Springer 2012, ISBN 978-3-642-31836-8 [contents] - [e21]De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa García:
Advanced Intelligent Computing - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers. Lecture Notes in Computer Science 6838, Springer 2012, ISBN 978-3-642-24727-9 [contents] - [e20]De-Shuang Huang, Yong Gan, Phalguni Gupta, M. Michael Gromiha:
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011, Revised Selected Papers. Lecture Notes in Computer Science 6839, Springer 2012, ISBN 978-3-642-25943-2 [contents] - [e19]De-Shuang Huang, Yong Gan, Prashan Premaratne, Kyungsook Han:
Bio-Inspired Computing and Applications - 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou,China, August 11-14. 2011, Revised Selected Papers. Lecture Notes in Computer Science 6840, Springer 2012, ISBN 978-3-642-24552-7 [contents] - [e18]De-Shuang Huang, Changjun Jiang, Vitoantonio Bevilacqua, Juan Carlos Figueroa García:
Intelligent Computing Technology - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings. Lecture Notes in Computer Science 7389, Springer 2012, ISBN 978-3-642-31587-9 [contents] - [e17]De-Shuang Huang, Jianhua Ma, Kang-Hyun Jo, M. Michael Gromiha:
Intelligent Computing Theories and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings. Lecture Notes in Computer Science 7390, Springer 2012, ISBN 978-3-642-31575-6 [contents] - 2011
- [j85]De-Shuang Huang:
Special issue on advanced intelligent computing theory and methodology. Comput. Hum. Behav. 27(5): 1467 (2011) - [j84]Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang:
Selecting salient objects in real scenes: An oscillatory correlation model. Neural Networks 24(1): 54-64 (2011) - [j83]Chun-Hou Zheng, Lei Zhang, To-Yee Ng, Simon Chi-Keung Shiu, De-Shuang Huang:
Metasample-Based Sparse Representation for Tumor Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 8(5): 1273-1282 (2011) - [j82]Chun-Hou Zheng, Lei Zhang, Vincent To-Yee Ng, Simon Chi-Keung Shiu, De-Shuang Huang:
Molecular Pattern Discovery Based on Penalized Matrix Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1592-1603 (2011) - 2010
- [j81]Zhuhong You, Ying-Ke Lei, Jie Gui, De-Shuang Huang, Xiaobo Zhou:
Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data. Bioinform. 26(21): 2744-2751 (2010) - [j80]Junfeng Xia, Xing-Ming Zhao, Jiangning Song, De-Shuang Huang:
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility. BMC Bioinform. 11: 174 (2010) - [j79]Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang Huang, Xiaobo Zhou:
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network. BMC Bioinform. 11: 343 (2010) - [j78]Shu-Lin Wang, Xueling Li, Shanwen Zhang, Jie Gui, De-Shuang Huang:
Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction. Comput. Biol. Medicine 40(2): 179-189 (2010) - [j77]Shanwen Zhang, De-Shuang Huang, Shu-Lin Wang:
A method of tumor classification based on wavelet packet transforms and neighborhood rough set. Comput. Biol. Medicine 40(4): 430-437 (2010) - [j76]Bo Li, Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Kyungsook Han:
Gene expression data classification using locally linear discriminant embedding. Comput. Biol. Medicine 40(10): 802-810 (2010) - [j75]Rong-Xiang Hu, Wei Jia, De-Shuang Huang, Ying-Ke Lei:
Maximum margin criterion with tensor representation. Neurocomputing 73(10-12): 1541-1549 (2010) - [j74]Jie Gui, Wei Jia, Ling Zhu, Shu-Ling Wang, De-Shuang Huang:
Locality preserving discriminant projections for face and palmprint recognition. Neurocomputing 73(13-15): 2696-2707 (2010) - [j73]Xing-Ming Zhao, Yiu-ming Cheung, De-Shuang Huang:
Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate. Int. J. Pattern Recognit. Artif. Intell. 24(4): 651-666 (2010) - [j72]Fei Han, Qing-Hua Ling, De-Shuang Huang:
An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks. Neural Comput. Appl. 19(2): 255-261 (2010) - [j71]Xiaofeng Wang, De-Shuang Huang, Huan Xu:
An efficient local Chan-Vese model for image segmentation. Pattern Recognit. 43(3): 603-618 (2010) - [c65]Ying-Ke Lei, Rong-Xiang Hu, Lei Tang, Shanwen Zhang, De-Shuang Huang:
Orthogonal linear local spline discriminant embedding for face recognition. IJCNN 2010: 1-8 - [c64]Lei Tang, Ying-Ke Lei, Lin Zhu, De-Shuang Huang:
Dimensionality reduction based on minimax risk criterion for face recognition. IJCNN 2010: 1-6 - [c63]Shanwen Zhang, Ying-Ke Lei, De-Shuang Huang:
Two-dimensional Neighborhood Discriminant Projection. IJCNN 2010: 1-7 - [e16]De-Shuang Huang, T. Martin McGinnity, Laurent Heutte, Xiao-Ping (Steven) Zhang:
Advanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings. Communications in Computer and Information Science 93, Springer 2010, ISBN 978-3-642-14830-9 [contents] - [e15]De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa García:
Advanced Intelligent Computing Theories and Applications, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings. Lecture Notes in Computer Science 6215, Springer 2010, ISBN 978-3-642-14921-4 [contents] - [e14]De-Shuang Huang, Xiang Zhang, Carlos A. Reyes García, Lei Zhang:
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings. Lecture Notes in Computer Science 6216, Springer 2010, ISBN 978-3-642-14931-3 [contents]
2000 – 2009
- 2009
- [j70]Jisu Kim, De-Shuang Huang, Kyungsook Han:
Finding motif pairs in the interactions between heterogeneous proteins via bootstrapping and boosting. BMC Bioinform. 10(S-1) (2009) - [j69]Bo Li, Chao Wang, De-Shuang Huang:
Supervised feature extraction based on orthogonal discriminant projection. Neurocomputing 73(1-3): 191-196 (2009) - [j68]Ngoc Thanh Nguyen, De-Shuang Huang:
Knowledge Management for Autonomous Systems and Computational Intelligence. J. Univers. Comput. Sci. 15(4): 704 (2009) - [j67]De-Shuang Huang:
Advanced intelligent computing theory and methodology. Pattern Recognit. Lett. 30(9): 781 (2009) - [j66]Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Xiangzhen Kong:
Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection. IEEE Trans. Inf. Technol. Biomed. 13(4): 599-607 (2009) - [j65]Xiaofeng Wang, De-Shuang Huang:
A Novel Density-Based Clustering Framework by Using Level Set Method. IEEE Trans. Knowl. Data Eng. 21(11): 1515-1531 (2009) - [c62]Chun-Gui Xu, KunHong Liu, De-Shuang Huang:
The analysis of microarray datasets using a genetic programming. CIBCB 2009: 176-181 - [c61]Chao Wang, De-Shuang Huang, Bo Li:
A Novel Local Sensitive Frontier Analysis for Feature Extraction. ICIC (2) 2009: 556-565 - [c60]Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang:
An oscillatory correlation model of object-based attention. IJCNN 2009: 2596-2602 - [c59]Ming-Guang Shi, Min Wu, De-Shuang Huang, Xueling Li:
Inferring Protein Interactions from Sequence using Support Vector Machine. IJCNN 2009: 2903-2907 - [c58]Wei Jia, Yi-Hai Zhu, Ling-Feng Liu, De-Shuang Huang:
Fast Palmprint Retrieval Using Principal Lines. SMC 2009: 4118-4123 - [e13]De-Shuang Huang, Kang-Hyun Jo, Hong-Hee Lee, Hee-Jun Kang, Vitoantonio Bevilacqua:
Emerging Intelligent Computing Technology and Applications, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009. Proceedings. Lecture Notes in Computer Science 5754, Springer 2009, ISBN 978-3-642-04069-6 [contents] - [e12]De-Shuang Huang, Kang-Hyun Jo, Hong-Hee Lee, Hee-Jun Kang, Vitoantonio Bevilacqua:
Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009, Proceedings. Lecture Notes in Computer Science 5755, Springer 2009, ISBN 978-3-642-04019-1 [contents] - 2008
- [j64]De-Shuang Huang:
Special issue on advanced intelligent computing theory and methodology in applied mathematics and computation. Appl. Math. Comput. 205(2): 509-510 (2008) - [j63]Xiaofeng Wang, De-Shuang Huang, Ji-Xiang Du, Huan Xu, Laurent Heutte:
Classification of plant leaf images with complicated background. Appl. Math. Comput. 205(2): 916-926 (2008) - [j62]KunHong Liu, De-Shuang Huang:
Cancer classification using Rotation Forest. Comput. Biol. Medicine 38(5): 601-610 (2008) - [j61]Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, Xing-Ming Zhao:
Gene Expression Data Classification Using Consensus Independent Component Analysis. Genom. Proteom. Bioinform. 6(2): 74-82 (2008) - [j60]Peng Chen, De-Shuang Huang, Xing-Ming Zhao, Xueling Li:
Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function. Int. J. Bioinform. Res. Appl. 4(2): 123-136 (2008) - [j59]Fei Han, Qing-Hua Ling, De-Shuang Huang:
Modified constrained learning algorithms incorporating additional functional constraints into neural networks. Inf. Sci. 178(3): 907-919 (2008) - [j58]Xiaofeng Wang, De-Shuang Huang:
A Novel Multi-Layer Level Set Method for Image Segmentation. J. Univers. Comput. Sci. 14(14): 2427-2452 (2008) - [j57]Fei Han, De-Shuang Huang:
A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks. Neural Comput. Appl. 17(5-6): 433-439 (2008) - [j56]KunHong Liu, Yong Xu, De-Shuang Huang, Min Cheng:
Grooming of dynamic traffic in WDM star and tree networks using a genetic algorithm. Photonic Netw. Commun. 15(2): 111-121 (2008) - [j55]De-Shuang Huang, Wei Jia, David Zhang:
Palmprint verification based on principal lines. Pattern Recognit. 41(4): 1316-1328 (2008) - [j54]Wei Jia, De-Shuang Huang, David Zhang:
Palmprint verification based on robust line orientation code. Pattern Recognit. 41(5): 1504-1513 (2008) - [j53]Bo Li, De-Shuang Huang, Chao Wang, KunHong Liu:
Feature extraction using constrained maximum variance mapping. Pattern Recognit. 41(11): 3287-3294 (2008) - [j52]Bo Li, Chun-Hou Zheng, De-Shuang Huang:
Locally linear discriminant embedding: An efficient method for face recognition. Pattern Recognit. 41(12): 3813-3821 (2008) - [j51]De-Shuang Huang, Ji-Xiang Du:
A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks. IEEE Trans. Neural Networks 19(12): 2099-2115 (2008) - [c57]Guo-Zhu Wen, De-Shuang Huang:
A Novel Spike Sorting Method Based on Semi-supervised Learning. ICIC (2) 2008: 605-615 - [c56]Huan Xu, De-Shuang Huang:
One Class Support Vector Machines for Distinguishing Photographs and Graphics. ICNSC 2008: 602-607 - [c55]Jie Gui, De-Shuang Huang, Zhuhong You:
An improvement on learning with local and global consistency. ICPR 2008: 1-4 - [c54]Bo Li, De-Shuang Huang, Chao Wang:
Improving the robustness of ISOMAP by de-noising. IJCNN 2008: 266-270 - [c53]Bo Li, De-Shuang Huang, KunHong Liu:
Constrained Maximum Variance Mapping. IJCNN 2008: 534-537 - [c52]Wei Jia, De-Shuang Huang, Dacheng Tao, David Zhang:
Palmprint identification based on directional representation. SMC 2008: 1562-1567 - [e11]De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo:
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings. Communications in Computer and Information Science 15, Springer 2008, ISBN 978-3-540-85929-1 [contents] - [e10]De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo:
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings. Lecture Notes in Computer Science 5226, Springer 2008, ISBN 978-3-540-87440-9 [contents] - [e9]De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo:
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings. Lecture Notes in Computer Science 5227, Springer 2008, ISBN 978-3-540-85983-3 [contents] - 2007
- [j50]De-Shuang Huang:
Special issue on intelligent computing theory and methodology. Appl. Math. Comput. 185(2): 757-758 (2007) - [j49]De-Shuang Huang, Prashan Premaratne:
Advanced Neurocomputing Theory and Methodology. Neurocomputing 70(4-6): 623-624 (2007) - [j48]Ji-Xiang Du, De-Shuang Huang, Xiaofeng Wang, Xiao Gu:
Shape recognition based on neural networks trained by differential evolution algorithm. Neurocomputing 70(4-6): 896-903 (2007) - [j47]Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia:
Palmprint recognition with 2DPCA+PCA based on modular neural networks. Neurocomputing 71(1-3): 448-454 (2007) - [j46]Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun:
MISEP Method for Postnonlinear Blind Source Separation. Neural Comput. 19(9): 2557-2578 (2007) - [j45]Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu:
Extracting gene regulation information for cancer classification. Pattern Recognit. 40(12): 3379-3392 (2007) - [j44]Catalin-Daniel Caleanu, De-Shuang Huang, Vasile Gui, Virgil Tiponut, Valentin Maranescu:
Interest Operator versus Gabor filtering for facial imagery classification. Pattern Recognit. Lett. 28(8): 950-956 (2007) - [j43]De-Shuang Huang, Jian-Xun Mi:
A New Constrained Independent Component Analysis Method. IEEE Trans. Neural Networks 18(5): 1532-1535 (2007) - [c51]KunHong Liu, De-Shuang Huang, Bo Li:
Improving the performance of ICA based microarray data prediction models with genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 606-611 - [c50]KunHong Liu, De-Shuang Huang, Jun Zhang:
Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation 2007: 634-637 - [c49]Ji-Xiang Du, De-Shuang Huang, Zengfu Wang:
Pattern classification with a PSO optimization based elliptical basis function neural networks. IEEE Congress on Evolutionary Computation 2007: 1654-1661 - [c48]Zhong-Qiu Zhao, De-Shuang Huang:
An evolutionary modular neural network for unbalanced pattern classifications. IEEE Congress on Evolutionary Computation 2007: 1662-1669 - [c47]Jun Zhang, De-Shuang Huang, KunHong Liu:
Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. IEEE Congress on Evolutionary Computation 2007: 3215-3220 - [c46]Sheng-Bo Guo, Ying Wang, Xing Yan, Longnian Lin, Joe Tsien, De-Shuang Huang:
Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus. ICIC (2) 2007: 1339-1344 - [c45]Bing Wang, Lu-Sheng Ge, De-Shuang Huang, Hau-San Wong:
Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method. ICNC (2) 2007: 329-333 - [c44]Zhong-Hua Quan, De-Shuang Huang, KunHong Liu, Kwok-Wing Chau:
A Hybrid HMM/ANN Based Approach for Online Signature Verification. IJCNN 2007: 402-405 - [c43]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943 - [c42]Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, KunHong Liu:
Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. IJCNN 2007: 991-996 - [c41]Junfeng Xia, Bing Wang, De-Shuang Huang:
Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. IJCNN 2007: 2471-2475 - [c40]Wei Jia, De-Shuang Huang:
Palmprint Verification Based on Robust Orientation Code. IJCNN 2007: 2510-2514 - [e8]De-Shuang Huang, Laurent Heutte, Marco Loog:
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings. Communications in Computer and Information Science 2, Springer 2007, ISBN 978-3-540-74281-4 [contents] - [e7]De-Shuang Huang, Laurent Heutte, Marco Loog:
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings. Lecture Notes in Computer Science 4681, Springer 2007, ISBN 978-3-540-74170-1 [contents] - [e6]De-Shuang Huang, Laurent Heutte, Marco Loog:
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings. Lecture Notes in Computer Science 4682, Springer 2007, ISBN 978-3-540-74201-2 [contents] - 2006
- [j42]Fei Han, De-Shuang Huang:
Improved constrained learning algorithms by incorporating additional functional constraints into neural networks. Appl. Math. Comput. 174(1): 34-50 (2006) - [j41]De-Shuang Huang, Chun-Hou Zheng:
Independent component analysis-based penalized discriminant method for tumor classification using gene expression data. Bioinform. 22(15): 1855-1862 (2006) - [j40]Zhan-Li Sun, Deshuang Huang, Yiu-ming Cheung:
Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346]. Digit. Signal Process. 16(2): 205 (2006) - [j39]Fei Han, De-Shuang Huang, Zhi-Hua Zhu, Tie-Hua Rong:
The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine. Int. J. Neural Syst. 16(1): 39-46 (2006) - [j38]Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun:
Noise removal using a novel non-negative sparse coding shrinkage technique. Neurocomputing 69(7-9): 874-877 (2006) - [j37]Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, Tat-Ming Lok:
Nonnegative independent component analysis based on minimizing mutual information technique. Neurocomputing 69(7-9): 878-883 (2006) - [j36]Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang:
Optimal selection of time lags for TDSEP based on genetic algorithm. Neurocomputing 69(7-9): 884-887 (2006) - [j35]Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Zheng:
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network. Neurocomputing 69(13-15): 1782-1786 (2006) - [j34]Fei Han, De-Shuang Huang:
Improved extreme learning machine for function approximation by encoding a priori information. Neurocomputing 69(16-18): 2369-2373 (2006) - [j33]Jun Zhang, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu:
A novel adaptive sequential niche technique for multimodal function optimization. Neurocomputing 69(16-18): 2396-2401 (2006) - [j32]Chun-Hou Zheng, De-Shuang Huang, Li Shang:
Feature selection in independent component subspace for microarray data classification. Neurocomputing 69(16-18): 2407-2410 (2006) - [j31]Ji-Xiang Du, De-Shuang Huang, Guo-Jun Zhang, Zengfu Wang:
A novel full structure optimization algorithm for radial basis probabilistic neural networks. Neurocomputing 70(1-3): 592-596 (2006) - [j30]Yuan Yan Tang, De-Shuang Huang:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 20(2): 111-112 (2006) - [j29]De-Shuang Huang, Xing-Ming Zhao, Guang-Bin Huang, Yiu-ming Cheung:
Classifying protein sequences using hydropathy blocks. Pattern Recognit. 39(12): 2293-2300 (2006) - [j28]Hong-Qiang Wang, De-Shuang Huang:
Regulation probability method for gene selection. Pattern Recognit. Lett. 27(2): 116-122 (2006) - [j27]Jian Xun Peng, Kang Li, De-Shuang Huang:
A Hybrid Forward Algorithm for RBF Neural Network Construction. IEEE Trans. Neural Networks 17(6): 1439-1451 (2006) - [c39]Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu:
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering. FSKD 2006: 582-585 - [c38]Shun Pei, De-Shuang Huang, Kang Li, George W. Irwin:
Gene Selection by Cooperative Competition Clustering. ICIC (3) 2006: 464-474 - [c37]Xing-Ming Zhao, De-Shuang Huang, Shiwu Zhang, Yiu-ming Cheung:
Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines. ICIC (3) 2006: 593-602 - [c36]Xing Yan, Lei Cao, De-Shuang Huang, Kang Li, George W. Irwin:
A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition. ICIC (1) 2006: 1085-1091 - [c35]Zhi-Kai Huang, De-Shuang Huang, Ji-Xiang Du, Zhong-Hua Quan, Sheng-Bo Guo:
Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network. ICONIP (2) 2006: 80-87 - [c34]Zhong-Hua Quan, De-Shuang Huang, Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok:
Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification. ICPR (2) 2006: 1122-1125 - [c33]Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang:
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN 2006: 2325-2330 - [c32]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Long-Range Interaction Analysis using Principal Component Analysis. IJCNN 2006: 2331-2336 - [c31]Li Shang, De-Shuang Huang, Ji-Xiang Du, Zhi-Kai Huang:
Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network. ISNN (2) 2006: 216-221 - [e5]De-Shuang Huang, Kang Li, George W. Irwin:
Intelligent Computing, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I. Lecture Notes in Computer Science 4113, Springer 2006, ISBN 3-540-37271-7 [contents] - [e4]De-Shuang Huang, Kang Li, George W. Irwin:
Computational Intelligence, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part II. Lecture Notes in Computer Science 4114, Springer 2006, ISBN 3-540-37274-1 [contents] - [e3]De-Shuang Huang, Kang Li, George W. Irwin:
Computational Intelligence and Bioinformatics, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part III. Lecture Notes in Computer Science 4115, Springer 2006, ISBN 3-540-37277-6 [contents] - [i2]KunHong Liu, Yong Xu, De-Shuang Huang, Min Cheng:
Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm. CoRR abs/cs/0610147 (2006) - [i1]KunHong Liu, Yong Xu, De-Shuang Huang:
A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation. CoRR abs/cs/0610157 (2006) - 2005
- [j26]De-Shuang Huang, Wen-Bo Zhao:
Determining the centers of radial basis probabilistic neural networks by recursive orthogonal least square algorithms. Appl. Math. Comput. 162(1): 461-473 (2005) - [j25]De-Shuang Huang, Horace Ho-Shing Ip, Ken C. K. Law, Zheru Chi, Hau-San Wong:
A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials. Appl. Math. Comput. 162(3): 1183-1200 (2005) - [j24]De-Shuang Huang, Zheru Chi, Wan-Chi Siu:
A case study for constrained learning neural root finders. Appl. Math. Comput. 165(3): 699-718 (2005) - [j23]Zhan-Li Sun, De-Shuang Huang, Yiu-ming Cheung:
Extracting nonlinear features for multispectral images by FCMC and KPCA. Digit. Signal Process. 15(4): 331-346 (2005) - [j22]Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang:
Using batch algorithm for kernel blind source separation. Neurocomputing 69(1-3): 273-278 (2005) - [j21]Bing-Yu Sun, De-Shuang Huang, Hai-Tao Fang, Xing-Ming Yang:
A novel robust regression approach of Lidar signal based on modified least squares support vector machine. Int. J. Pattern Recognit. Artif. Intell. 19(5): 715-729 (2005) - [j20]Zhan-Li Sun, De-Shuang Huang, Yiu-ming Cheung, Jiming Liu, Guang-Bin Huang:
Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images. IEEE Geosci. Remote. Sens. Lett. 2(2): 108-112 (2005) - [j19]Xing-Ming Zhao, Yiu-ming Cheung, De-Shuang Huang:
A novel approach to extracting features from motif content and protein composition for protein sequence classification. Neural Networks 18(8): 1019-1028 (2005) - [j18]Zhigang Zeng, De-Shuang Huang, Zengfu Wang:
Global Stability of a General Class of Discrete-Time Recurrent Neural Networks. Neural Process. Lett. 22(1): 33-47 (2005) - [j17]Guang-Zheng Zhang, De-Shuang Huang, Zhong-Hua Quan:
Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction. Pattern Recognit. Lett. 26(10): 1543-1553 (2005) - [j16]Guang-Zheng Zhang, De-Shuang Huang, Yunping Zhu, Yi-Xue Li:
Improving protein secondary structure prediction by using the residue conformational classes. Pattern Recognit. Lett. 26(15): 2346-2352 (2005) - [j15]Bing-Yu Sun, De-Shuang Huang, Hai-Tao Fang:
Lidar signal denoising using least-squares support vector machine. IEEE Signal Process. Lett. 12(2): 101-104 (2005) - [j14]De-Shuang Huang, Horace Ho-Shing Ip, Ken Chee-keung Law, Zheru Chi:
Zeroing polynomials using modified constrained neural network approach. IEEE Trans. Neural Networks 16(3): 721-732 (2005) - [j13]Guang-Bin Huang, Ke Zhi Mao, Chee Kheong Siew, De-Shuang Huang:
Fast Modular network implementation for support vector machines. IEEE Trans. Neural Networks 16(6): 1651-1663 (2005) - [c30]Li Shang, Deshuang Huang:
Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm. CVPR (1) 2005: 1017-1022 - [c29]Jun-Hua Han, De-Shuang Huang:
A novel BP-based image retrieval system. ISCAS (2) 2005: 1557-1560 - [c28]Ji-Xiang Du, Deshuang Huang, Xiaofeng Wang, Xiao Gu:
Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification. ISNN (2) 2005: 281-285 - [c27]Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Shang:
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure. ISNN (2) 2005: 478-483 - [c26]Fei Han, Deshuang Huang, Yiu-ming Cheung, Guang-Bin Huang:
A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. ISNN (1) 2005: 572-577 - [c25]Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun:
Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model. ISNN (2) 2005: 807-812 - [c24]Ji-Xiang Du, De-Shuang Huang, Jun Zhang, Xiao-Feng Wang:
Shape matching using fuzzy discrete particle swarm optimization. SIS 2005: 405-408 - [e2]De-Shuang Huang, Xiao-Ping (Steven) Zhang, Guang-Bin Huang:
Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3644, Springer 2005, ISBN 3-540-28226-2 [contents] - [e1]De-Shuang Huang, Xiao-Ping (Steven) Zhang, Guang-Bin Huang:
Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3645, Springer 2005, ISBN 3-540-28227-0 [contents] - 2004
- [j12]Deshuang Huang, Zheru Chi:
Finding roots of arbitrary high order polynomials based on neural network recursive partitioning method. Sci. China Ser. F Inf. Sci. 47(2): 232-245 (2004) - [j11]Zhigang Zeng, De-Shuang Huang, Zengfu Wang:
Attractability and location of equilibrium point of cellular neural networks with time-varying delays. Int. J. Neural Syst. 14(5): 337-345 (2004) - [j10]Wen-Bo Zhao, De-Shuang Huang, Ji-Yan Du, Li-Ming Wang:
Genetic Optimization Of Radial Basis Probabilistic Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 18(8): 1473-1499 (2004) - [j9]Guang-Zheng Zhang, De-Shuang Huang:
Prediction of inter-residue contacts map based on genetic algorithm optimized radial basis function neural network and binary input encoding scheme. J. Comput. Aided Mol. Des. 18(12): 797-810 (2004) - [j8]De-Shuang Huang, Horace Ho-Shing Ip, Zheru Chi:
A Neural Root Finder of Polynomials Based on Root Moments. Neural Comput. 16(8): 1721-1762 (2004) - [j7]Zhong-Qiu Zhao, De-Shuang Huang, Bing-Yu Sun:
Human face recognition based on multi-features using neural networks committee. Pattern Recognit. Lett. 25(12): 1351-1358 (2004) - [j6]De-Shuang Huang:
A constructive approach for finding arbitrary roots of polynomials by neural networks. IEEE Trans. Neural Networks 15(2): 477-491 (2004) - [c23]Guang-Zheng Zhang, De-Shuang Huang:
Radial basis function neural network optimized by a genetic algorithm for soybean protein sequence residue spatial distance prediction. IEEE Congress on Evolutionary Computation 2004: 1015-1019 - [c22]Jian-Xun Mi, De-Shuang Huang:
Image compression using principal component neural network. ICARCV 2004: 698-701 - [c21]Zhigang Zeng, Zengfu Wang, De-Shuang Huang:
Global exponential stability of delayed Cohen-Grossberg neural networks. ICARCV 2004: 2254-2257 - [c20]Guang-Zheng Zhang, De-Shuang Huang, Hong-Qiang Wang:
Protein secondary structure prediction based on the amino acids conformational classification and neural network technique. ICASSP (5) 2004: 573-576 - [c19]Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-Qiang Wang, Xin Huang:
A Novel Hybrid GA/SVM System for Protein Sequences Classification. IDEAL 2004: 11-16 - [c18]Wen-Bo Zhao, Mingyi Zhang, Li-Ming Wang, Ji-Yan Du, De-Shuang Huang:
Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks. IDEAL 2004: 314-319 - [c17]Zhigang Zeng, De-Shuang Huang, Zengfu Wang:
Global Convergence of Steepest Descent for Quadratic Functions. IDEAL 2004: 672-677 - [c16]Zhigang Zeng, De-Shuang Huang, Zengfu Wang:
Stability Analysis of Discrete-Time Cellular Neural Networks. ISNN (1) 2004: 114-119 - [c15]Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, Xin Huang:
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns. ISNN (2) 2004: 476-481 - [c14]Guang-Zheng Zhang, De-Shuang Huang, Xin Huang:
Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction. ISNN (2) 2004: 513-518 - [c13]Bing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao:
Support Vector Machine Committee for Classification. ISNN (1) 2004: 648-653 - [c12]Zhan-Li Sun, De-Shuang Huang:
Extracting Target Information in Multispectral Images Using a Modified KPCA Approach. ISNN (1) 2004: 774-779 - [c11]Zhigang Zeng, De-Shuang Huang, Zengfu Wang:
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks. ISNN (1) 2004: 1008-1014 - 2003
- [c10]Bing-Yu Sun, De-Shuang Huang:
Support vector clustering for multiclass classification problems. IEEE Congress on Evolutionary Computation 2003: 1480-1485 - [c9]De-Shuang Huang, Horace H. S. Ip:
Finding the maximum modulus roots of polynomials based on constrained neural networks. ICASSP (2) 2003: 797-800 - [c8]De-Shuang Huang:
On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations. IDEAL 2003: 169-176 - [c7]Wen-Bo Zhao, De-Shuang Huang, Lin Guo:
Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks. IDEAL 2003: 389-396 - [c6]De-Shuang Huang, Horace Ho-Shing Ip:
On the Choices of the Parameters in General Constrained Learning Algorithms. IDEAL 2003: 967-974
1990 – 1999
- 1999
- [j5]De-Shuang Huang:
A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets. Int. J. Pattern Recognit. Artif. Intell. 13(1): 65-83 (1999) - [j4]De-Shuang Huang:
Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets. Int. J. Pattern Recognit. Artif. Intell. 13(6): 945-962 (1999) - [j3]Deshuang Huang:
The "bottleneck" behaviours in linear feedforward neural network classifiers and their breakthrough. J. Comput. Sci. Technol. 14(1): 34-43 (1999) - [c5]De-Shuang Huang:
On the conditions of outer-supervised feedforward neural networks for null cost learning. IJCNN 1999: 841-845 - [c4]De-Shuang Huang:
A fusion design of linear feedforward neural networks for pattern classification. IJCNN 1999: 2768-2771 - [c3]Jiuzhen Liang, Xingui He, Deshuang Huang:
Gradient-Newton Learning Algorithm for Feedforward Neural Networks. PDPTA 1999: 2870-2874 - [c2]De-Shuang Huang:
Neural Pattern Analyses Based on a Novel Error Cost Function. PDPTA 1999: 2875-2880 - 1998
- [j2]De-Shuang Huang:
The local minima-free condition of feedforward neural networks for outer-supervised learning. IEEE Trans. Syst. Man Cybern. Part B 28(3): 477-480 (1998) - 1997
- [j1]De-Shuang Huang:
The United Adaptive Learning Algorithm for The Link Weights and Shape Parameter in RBFN for Pattern Recognition. Int. J. Pattern Recognit. Artif. Intell. 11(6): 873-888 (1997) - 1995
- [c1]Deshuang Huang, Erke Mao, Yueqiu Han:
Application of function link net to recognition of radar targets. ICASSP 1995: 3487-3490
Coauthor Index
Vladimir F. Filaretov
aka: Vladimir Fedorovich Filaretov
aka: Vladimir Fedorovich Filaretov
Abir Jaafar Hussain
aka: Abir Hussain
aka: Abir Hussain
Zhu-Hong You
aka: Zhuhong You
aka: Zhuhong You
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