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ORCIDXiaolong Zhang 0002
Person information
- affiliation: Wuhan University of Science and Technology, School of Computer Science and Technology, Hubei Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China
- affiliation (former): Tokyo Institute of Technology, Department of Computer Science, Japan
Other persons with the same name
- Xiaolong Zhang — disambiguation page
- Xiaolong Zhang 0001
![[0000-0002-6828-4930]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6828-4930")
(aka: Xiaolong Luke Zhang, Xiaolong (Luke) Zhang) — Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA - Xiaolong Zhang 0003 — Georgia Southern University, Department of Finance and Quantitative Analysis, Statesboro, GA, USA (and 1 more)
- Xiaolong Zhang 0004 — The University of Hong Kong, Hong Kong
- Xiaolong Zhang 0005 — Dalian University of Technology, School of Mathematical Sciences, China
- Xiaolong Zhang 0006 — Tongji University, School of Mechanical Engineering, Shanghai, China
- Xiaolong Zhang 0007 — Nanchang University, College of Information Engineering, Nanchang, China
- Xiaolong Zhang 0008 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Xiaolong Zhang 0009 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
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2020 – today
- 2024
[c81]Mengyao Wang, Xiaolong Zhang, Haoran Liu, Xiaoli Lin, Jing Hu, Jun Pang:
Drug Molecule Generation Method Based on Fusion of Protein Sequence Features. ICIC (LNBI 2) 2024: 119-130- [c80]Shuo Hu, Jing Hu, Xiaolong Zhang:
Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Feature Fusion. ICIC (LNBI 2) 2024: 131-142 - [c79]Weiwenzheng Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu:
Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism. ICIC (LNBI 2) 2024: 143-154 - 2023
- [j38]Bo Li, Chen Peng, Zeran You, Xiaolong Zhang, Shihua Zhang:
Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning. Briefings Bioinform. 24(6) (2023) - [j37]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2647-2658 (2023) - [j36]Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao:
Exploiting Residual and Illumination with GANs for Shadow Detection and Shadow Removal. ACM Trans. Multim. Comput. Commun. Appl. 19(3): 120:1-120:22 (2023) - [c78]Lizhi Wang, Xiaolong Zhang, Xiaoli Lin, Jing Hu:
Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism. ADMA (3) 2023: 3-17 - [c77]Ling Zhang, Yinghao He, Qing Zhang, Zheng Liu, Xiaolong Zhang, Chunxia Xiao:
Document Image Shadow Removal Guided by Color-Aware Background. CVPR 2023: 1818-1827 - [c76]Kang Wang, Jing Hu, Xiaolong Zhang:
Identifying Drug-Target Interactions Through a Combined Graph Attention Mechanism and Self-attention Sequence Embedding Model. ICIC (3) 2023: 246-257 - [c75]Zonghao Li, Jing Hu, Xiaolong Zhang:
De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit Model. ICIC (3) 2023: 627-638 - [c74]Haoran Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu:
An Efficient Drug Design Method Based on Drug-Target Affinity. ICIC (3) 2023: 764-775 - [c73]Xizi Wang, Jing Hu, Xiaolong Zhang:
Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural Network. ICIC (3) 2023: 776-790 - [c72]Zhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu:
DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention. ICIC (3) 2023: 791-802 - 2022
- [j35]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-target interaction prediction via multiple classification strategies. BMC Bioinform. 22-S(12): 461 (2022) - [j34]Zhijing Wan, Xin Xu, Zheng Wang, Toshihiko Yamasaki, Xiaolong Zhang, Ruimin Hu:
Efficient virtual data search for annotation-free vehicle reidentification. Int. J. Intell. Syst. 37(5): 2988-3005 (2022) - [j33]Zhijing Wan, Xin Xu, Zheng Wang, Toshihiko Yamasaki, Xiaolong Zhang, Ruimin Hu:
Cover: International Journal of Intelligent Systems, Volume 37 Issue 5 May 2022. Int. J. Intell. Syst. 37(5): i (2022) - [j32]Bo Li, Yihui Tian, Yang Tian, Shihua Zhang, Xiaolong Zhang:
Predicting Cancer Lymph-Node Metastasis From LncRNA Expression Profiles Using Local Linear Reconstruction Guided Distance Metric Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3179-3189 (2022) - [c71]Zhuang Yin, Xiaoli Lin, Xiaolong Zhang:
Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation. BIBM 2022: 3209-3216 - [c70]Tianyi Zhou, Yu Liu, Hang Zhang, Feng Gao, Xiaolong Zhang:
Optimization of Bit Matrix Index for Temporal RDF. CCKS 2022: 95-107 - [c69]Jinglu Tao, Xiaolong Zhang, Xiaoli Lin:
A Targeted Drug Design Method Based on GRU and TopP Sampling Strategies. ICIC (2) 2022: 423-437 - [c68]Zhenghao Wu, Xiaolong Zhang, Xiaoli Lin:
KGAT: Predicting Drug-Target Interaction Based on Knowledge Graph Attention Network. ICIC (2) 2022: 438-450 - [c67]Minghao Xia, Jing Hu, Xiaolong Zhang, Xiaoli Lin:
Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec. ICIC (2) 2022: 496-506 - [c66]Hang Zhang, Jing Hu, Xiaolong Zhang:
Drug-Target Affinity Prediction Based on Multi-channel Graph Convolution. ICIC (2) 2022: 533-546 - 2021
- [j31]Jing Hu, Longwei Zhou, Bo Li, Xiaolong Zhang, Nansheng Chen:
Improve hot region prediction by analyzing different machine learning algorithms. BMC Bioinform. 22(3): 522 (2021) - [j30]Xiaoli Lin, Xiaolong Zhang:
Identification of hot regions in hub protein-protein interactions by clustering and PPRA optimization. BMC Medical Informatics Decis. Mak. 21(1): 143 (2021) - [j29]Xin Xu, Lei Liu, Xiaolong Zhang, Weili Guan, Ruimin Hu:
Rethinking data collection for person re-identification: active redundancy reduction. Pattern Recognit. 113: 107827 (2021) - [j28]Jun Pang, Zhiliang Shu, Linlin Ding, Chengyang Jiang, Chen Liu, Xiaolong Zhang:
Efficient and Exact Multigraph Matching Search. IEEE Trans. Ind. Informatics 17(6): 4141-4149 (2021) - [j27]Xin Xu, Shiqin Wang, Zheng Wang, Xiaolong Zhang, Ruimin Hu:
Exploring Image Enhancement for Salient Object Detection in Low Light Images. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 8:1-8:19 (2021) - [c65]Shuo Zhang, Xiaoli Lin, Xiaolong Zhang:
Discovering DTI and DDI by Knowledge Graph with MHRW and Improved Neural Network. BIBM 2021: 588-593 - [c64]Jing Hu, Zonghao Li, Xiaolong Zhang, Nansheng Chen:
Prediction of hot spots in protein-protein interaction by Nine-Pipeline & Ensemble Learning strategy. BIBM 2021: 2223-2230 - [c63]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
De Novo Drug Design via Multi-Label Learning and Adversarial Autoencoder. BIBM 2021: 3456-3463 - [c62]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks. ICIC (3) 2021: 87-99 - [c61]Jinfan Zou, Xiaolong Zhang, Xiaoli Lin:
A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism. ICIC (1) 2021: 129-142 - [c60]Tingting Niu, Xiaolong Zhang, Chunhua Deng, Ruoqin Chen:
Dual-Channel Recalibration and Feature Fusion Method for Liver Image Classification. ICIC (2) 2021: 579-591 - [c59]Sai Shao, Xiaolong Zhang, Ruoqin Chen, Chunhua Deng:
Semantic segmentation method of 3D liver image based on contextual attention model. SMC 2021: 3042-3049 - 2020
- [j26]Ling Zhang, Chengjiang Long, Qingan Yan, Xiaolong Zhang, Chunxia Xiao:
CLA-GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal. Comput. Graph. Forum 39(7): 483-494 (2020) - [j25]Jing Hu, Haomin Gan, Nansheng Chen, Xiaolong Zhang:
Identification of protein hot regions by combining structure-based classification, energy-based clustering and sequence-based conservation in evolution. Int. J. Data Min. Bioinform. 24(1): 74-95 (2020) - [j24]Xiaoli Lin, Xiaolong Zhang, Xin Xu:
Efficient Classification of Hot Spots and Hub Protein Interfaces by Recursive Feature Elimination and Gradient Boosting. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1525-1534 (2020) - [c58]Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao:
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal. AAAI 2020: 12829-12836 - [c57]Minqi Xu, Xiaolong Zhang, Xiaoli Lin:
Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix. BIBM 2020: 503-506 - [c56]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-target Interaction Prediction via Multiple Output Deep Learning. BIBM 2020: 507-510 - [i2]Xin Xu, Shiqin Wang, Zheng Wang, Xiaolong Zhang, Ruimin Hu:
Exploring Image Enhancement for Salient Object Detection in Low Light Images. CoRR abs/2007.16124 (2020)
2010 – 2019
- 2019
- [j23]Bo Li, Yan-Rui Li, Xiaolong Zhang:
A survey on Laplacian eigenmaps based manifold learning methods. Neurocomputing 335: 336-351 (2019) - [j22]Nan Mu, Xin Xu, Xiaolong Zhang:
A spatial-frequency-temporal domain based saliency model for low contrast video sequences. J. Vis. Commun. Image Represent. 58: 79-88 (2019) - [j21]Nan Mu, Xin Xu, Xiaolong Zhang:
Finding autofocus region in low contrast surveillance images using CNN-based saliency algorithm. Pattern Recognit. Lett. 125: 124-132 (2019) - [j20]Xiaolong Zhang, Xiaoli Lin, Jiafu Zhao, Qianqian Huang, Xin Xu:
Efficiently Predicting Hot Spots in PPIs by Combining Random Forest and Synthetic Minority Over-Sampling Technique. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 774-781 (2019) - [j19]Ling Zhang, Qingan Yan, Yao Zhu, Xiaolong Zhang, Chunxia Xiao:
Effective shadow removal via multi-scale image decomposition. Vis. Comput. 35(6-8): 1091-1104 (2019) - [c55]Jing Hu, Haomin Gan, Xiaolong Zhang, Nansheng Chen:
Identification of protein hot regions by integrated machine learning algorithm. BIBM 2019: 24-29 - [c54]Nan Mu, Xin Xu, Xiaolong Zhang:
Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement. CVPR Workshops 2019: 743-751 - [c53]Jing Hu, Longwei Zhou, Xiaolong Zhang, Nansheng Chen:
Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN. ICIC (2) 2019: 440-452 - [i1]Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao:
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal. CoRR abs/1911.09178 (2019) - 2018
- [j18]Bo Li, Wei Guo, Xiaolong Zhang:
A global manifold margin learning method for data feature extraction and classification. Eng. Appl. Artif. Intell. 75: 94-101 (2018) - [j17]Nan Mu, Xin Xu, Xiaolong Zhang, Xiaoli Lin:
Discrete stationary wavelet transform based saliency information fusion from frequency and spatial domain in low contrast images. Pattern Recognit. Lett. 115: 84-91 (2018) - [j16]Xiaoli Lin, Xiaolong Zhang:
Prediction of Hot Regions in PPIs Based on Improved Local Community Structure Detecting. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1470-1479 (2018) - [c52]Jing Hu, Haomin Gan, Xiaolong Zhang, Nansheng Chen:
Analysis of hot regions prediction in PPI with different amino acid mutation using machine learning algorithm. BIBM 2018: 2254-2261 - [c51]Yi Liu, Xiaolong Zhang:
Breast Cancer Medical Image Analysis Based on Transfer Learning Model. ICIC (2) 2018: 44-53 - [c50]Haomin Gan, Jing Hu, Xiaolong Zhang, Qianqian Huang, Jiafu Zhao:
Accurate Prediction of Hot Spots with Greedy Gradient Boosting Decision Tree. ICIC (2) 2018: 353-364 - [c49]Xiaoli Lin, Xiaolong Zhang, Fengli Zhou:
Identification of Hotspots in Protein-Protein Interactions Based on Recursive Feature Elimination. ICIC (1) 2018: 576-582 - [c48]Nan Mu, Xin Xu, Xiaolong Zhang:
Optimal Feature Selection for Saliency Seed Propagation in Low Contrast Images. PCM (3) 2018: 35-45 - [c47]Nan Mu, Xin Xu, Xiaolong Zhang:
Ant Colony Optimization Based Salient Object Detection for Weak Light Images. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1432-1437 - [e1]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] - 2017
- [c46]Bo Li, Ping-Ping Zheng, Jin Liu, Xiaolong Zhang:
Face Recognition via Domain Adaptation and Manifold Distance Metric Learning. ICIC (2) 2017: 3-10 - [c45]Jing Hu, Xiaoli Lin, Xiaolong Zhang:
Protein Hot Regions Feature Research Based on Evolutionary Conservation. ICIC (2) 2017: 254-260 - [c44]Xiaoli Lin, Xiaolong Zhang, Jing Hu:
Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions. ICIC (2) 2017: 365-374 - [c43]Chen Zhang, Xiaolong Zhang:
An Effective Sampling Strategy for Ensemble Learning with Imbalanced Data. ICIC (3) 2017: 377-388 - [c42]Nan Mu, Xin Xu, Xiaolong Zhang:
Estimation of Local and Global Superpixel Covariance for Salient Object Detection in Low Contrast Images. ICMLC 2017: 314-319 - [c41]Nan Mu, Xin Xu, Xiaolong Zhang, Li Chen:
Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images. ICONIP (3) 2017: 602-612 - [c40]Yulin Ding, Xiaolong Zhang, Jinshan Tang:
A noisy sparse convolution neural network based on stacked auto-encoders. SMC 2017: 3457-3461 - 2016
- [j15]Xin Xu, Nan Mu, Li Chen, Xiaolong Zhang:
Hierarchical salient object detection model using contrast-based saliency and color spatial distribution. Multim. Tools Appl. 75(5): 2667-2679 (2016) - [j14]Xiaotong Huang, Li Chen, Jing Tian, Xiaolong Zhang:
Blind image noise level estimation using texture-based eigenvalue analysis. Multim. Tools Appl. 75(5): 2713-2724 (2016) - [c39]Qianqian Huang, Xiaolong Zhang:
An improved ensemble learning method with SMOTE for protein interaction hot spots prediction. BIBM 2016: 1584-1589 - [c38]Xiaoli Lin, Xiaolong Zhang:
Prediction and analysis of hot region in protein-protein interactions. BIBM 2016: 1598-1603 - [c37]Bo Li, Xiao-Hui Lei, Yang Hu, Xiaolong Zhang:
A Hybrid Tumor Gene Selection Method with Laplacian Score and Correlation Analysis. ICIC (1) 2016: 214-223 - [c36]Lin Xia, Xiaolong Zhang, Bo Li:
Improving Deep Learning Accuracy with Noisy Autoencoders Embedded Perturbative Layers. ICIC (3) 2016: 229-238 - [c35]Xiaoli Lin, Xiaolong Zhang:
Identification of Hot Regions in Protein-Protein Interactions Based on Detecting Local Community Structure. ICIC (1) 2016: 432-438 - [c34]Xin Xu, Nan Mu, Xiaolong Zhang, Bo Li:
Covariance descriptor based convolution neural network for saliency computation in low contrast images. IJCNN 2016: 616-623 - [c33]Bo Li, Zhang-Tao Fan, Xiaolong Zhang:
Feature space distance metric learning for discriminant graph embedding. IJCNN 2016: 3608-3613 - [c32]Nan Mu, Xin Xu, Xiaolong Zhang:
Salient Object Detection from Single Haze Images via Dark Channel Prior and Region Covariance Descriptor. IVS 2016: 99-106 - 2015
- [j13]Jing Hu, Xiaolong Zhang, Xiaoming Liu, Jinshan Tang:
Prediction of hot regions in protein-protein interaction by combining density-based incremental clustering with feature-based classification. Comput. Biol. Medicine 61: 127-137 (2015) - [c31]Jing Hu, Xiaolong Zhang:
Prediction of hot regions in protein-protein interaction by density-based incremental clustering with parameter selection. BIBM 2015: 1162-1169 - [c30]Jing Hu, Xiaolong Zhang:
Testing whether hot regions in protein-protein interactions are conserved in different species. BIBM 2015: 1624-1629 - [c29]Jing Hu, Xiaolong Zhang:
Identification of Hot Regions in Protein Interfaces: Combining Density Clustering and Neighbor Residues Improves the Accuracy. ICIC (2) 2015: 399-407 - 2014
- [j12]Xiaoli Lin, Xiaolong Zhang, Fengli Zhou:
Protein structure prediction with local adjust tabu search algorithm. BMC Bioinform. 15(S-15): S1 (2014) - [j11]Bo Li, Bei-Bei Tian, Xiaolong Zhang, Xiao-Ping (Steven) Zhang:
Locally linear representation Fisher criterion based tumor gene expressive data classification. Comput. Biol. Medicine 53: 48-54 (2014) - [j10]Xiaotong Huang, Li Chen, Jing Tian, Xiaolong Zhang, Xiaowei Fu:
Blind noisy image quality assessment using block homogeneity. Comput. Electr. Eng. 40(3): 796-807 (2014) - [j9]Xin Xu, Xiaolong Zhang, Haidong Fu, Li Chen, Hong Zhang, Xiaowei Fu:
Robust passive autofocus system for mobile phone camera applications. Comput. Electr. Eng. 40(4): 1353-1362 (2014) - [j8]Xiaoyong Bian, Xiaolong Zhang, Renfeng Liu, Li Ma, Xiaowei Fu:
Adaptive classification of hyperspectral images using local consistency. J. Electronic Imaging 23(6): 063014 (2014) - [j7]Xin Xu, Yinglin Wang, Xiaolong Zhang, Shunxin Li, Xiaoming Liu, Xiaofeng Wang, Jinshan Tang:
A comparison of contrast measurements in passive autofocus systems for low contrast images. Multim. Tools Appl. 69(1): 139-156 (2014) - [c28]Junjie Wang, Xiaolong Zhang:
Efficient Deep Learning Algorithm with Accelerating Inference Strategy. ADMA 2014: 394-405 - [c27]Bingqin Tan, Xiaolong Zhang:
Prediction of hot regions in protein-protein interaction based on the Gi statistics and cascade classifier. BIBM 2014: 23-30 - [c26]Xiaoli Lin, Xiaolong Zhang:
Protein folding structure optimization based on GAPSO algorithm in the off-lattice model. BIBM 2014: 43-49 - [c25]Danqin Wang, Xiaolong Zhang:
Mobile user stability prediction with Random Forest model. DSAA 2014: 430-434 - 2013
- [j6]Xiaoyong Bian, Tianxu Zhang, Xiaolong Zhang, Luxin Yan, Bo Li:
Clustering-Based Extraction of Near Border Data Samples for Remote Sensing Image Classification. Cogn. Comput. 5(1): 19-31 (2013) - [j5]Xin Xu, Jinshan Tang, Xiaolong Zhang, Xiaoming Liu, Hong Zhang, Yimin Qiu:
Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation. Sensors 13(2): 1635-1650 (2013) - [c24]Juhong Qi, Xiaolong Zhang, Bo Li:
Protein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation. ADMA (2) 2013: 201-210 - [c23]Dongfang Nan, Xiaolong Zhang:
Prediction of hot regions in protein-protein interactions based on complex network and community detection. BIBM 2013: 17-23 - [c22]Jiaolong Huang, Xiaolong Zhang:
An incremental grid clustering algorithm based on density-dimension-tree. ICMLC 2013: 356-361 - [c21]Xiaotong Huang, Li Chen, Jing Tian, Xiaolong Zhang, Xiaowei Fu:
Homogeneity Based Blind Noisy Image Quality Assessment. SMC 2013: 2963-2967 - 2012
- [c20]Xiaolong Zhang, Chao Cheng:
Imbalanced data classification algorithm based on boosting and cascade model. SMC 2012: 2861-2866 - 2011
- [j4]Xin Xu, Yinglin Wang, Jinshan Tang, Xiaolong Zhang, Xiaoming Liu:
Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure. Sensors 11(9): 8281-8294 (2011) - [c19]Rui Peng, Xiaolong Zhang, Hua Zhang:
Emulation of Dynamic Secondary Cooling and Soft Reduction in Continuous Slab Casting. ICAIC (1) 2011: 356-364 - [c18]Xin Xu, Yinglin Wang, Jinshan Tang, Xiaolong Zhang, Xiaoming Liu:
Adaptive Variance Based Sharpness Computation for Low Contrast Images. ICIC (1) 2011: 335-341 - [c17]Li Chen, Yang Xiang, YaoJie Chen, Xiaolong Zhang:
Retinal image registration using bifurcation structures. ICIP 2011: 2169-2172 - [c16]Zhaohong Qin, Xiaolong Zhang, Zong Huang, Na Zeng, Jinshan Tang:
Suspicious user tracking based on web data analysis. SMC 2011: 3353-3357 - 2010
- [j3]Xiaolong Zhang, Ting Wang, Huiping Luo, Jack Y. Yang, Youping Deng, Jinshan Tang, Mary Qu Yang:
3D Protein structure prediction with genetic tabu search algorithm. BMC Syst. Biol. 4(S-1): S6 (2010) - [c15]Xiaolong Zhang, Na Zeng, Jinshan Tang, Xin Xu:
Web user behavior monitoring for campus networks. SMC 2010: 3828-3833 - [c14]Xin Xu, Jinshan Tang, Xiaoming Liu, Xiaolong Zhang:
Human behavior understanding for video surveillance: Recent advance. SMC 2010: 3867-3873
2000 – 2009
- 2009
- [c13]Jiapeng Qu, Hanchao Zhu, Haijun Hu, Xiaolong Zhang:
Resource Schedule and Allocation of Production Line with Real-Time Data Streams. DBTA 2009: 452-455 - [c12]Xiaoming Liu, Jinshan Tang, Xiaolong Zhang:
A multiscale image enhancement method for calcification detection in screening mammograms. ICIP 2009: 677-680 - 2008
- [c11]Xiaolong Zhang, Wen Cheng:
An Improved Tabu Search Algorithm for 3D Protein Folding Problem. PRICAI 2008: 1104-1109 - 2007
- [c10]Haidong Fu, Xiguo Yuan, Kui Zhang, Xiaolong Zhang, Qi Xie:
Investigating Novel Immune-Inspired Multi-agent Systems for Anomaly Detection. APSCC 2007: 466-472 - [c9]Xiaolong Zhang, Xiaoli Lin, Chengpeng Wan, Tingting Li:
Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model. PAKDD Workshops 2007: 186-193 - 2006
- [c8]Xiaolong Zhang, Xiaoli Lin:
Protein Folding Prediction Using an Improved Genetic-Annealing Algorithm. Australian Conference on Artificial Intelligence 2006: 1196-1200 - [c7]