Xiaolong Zhang

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 53

Top Topics

Distance Metric Learning

Protein Interaction

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

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)
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)
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)
Ling Zhang, Yinghao He, Qing Zhang, Zheng Liu, Xiaolong Zhang, Chunxia Xiao
Document Image Shadow Removal Guided by Color-Aware Background. CVPR (2023)
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) (2023)
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) (2023)
Tianyi Zhou, Yu Liu, Hang Zhang, Feng Gao, Xiaolong Zhang
Optimization of Bit Matrix Index for Temporal RDF. CCKS (2022)
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) (2022)
Qing Ye, Xiaolong Zhang, Xiaoli Lin
Drug-target interaction prediction via multiple classification strategies. BMC Bioinform. (12) (2022)
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) (2022)
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) (2022)
Jinfan Zou, Xiaolong Zhang, Xiaoli Lin
A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism. ICIC (1) (2021)
Qing Ye, Xiaolong Zhang, Xiaoli Lin
Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks. ICIC (3) (2021)
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) (2021)
Jing Hu, Longwei Zhou, Bo Li, Xiaolong Zhang, Nansheng Chen
Improve hot region prediction by analyzing different machine learning algorithms. BMC Bioinform. 22 (3) (2021)
Jun Pang, Zhiliang Shu, Linlin Ding, Chengyang Jiang, Chen Liu, Xiaolong Zhang
Efficient and Exact Multigraph Matching Search. IEEE Trans. Ind. Informatics 17 (6) (2021)
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) (2021)
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) (2020)
Qing Ye, Xiaolong Zhang, Xiaoli Lin
Drug-target Interaction Prediction via Multiple Output Deep Learning. BIBM (2020)
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) (2020)
Minqi Xu, Xiaolong Zhang, Xiaoli Lin
Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix. BIBM (2020)
Bo Li, Yan-Rui Li, Xiaolong Zhang
A survey on Laplacian eigenmaps based manifold learning methods. Neurocomputing 335 (2019)
Nan Mu, Xin Xu, Xiaolong Zhang
Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement. CVPR Workshops (2019)
Jing Hu, Haomin Gan, Xiaolong Zhang, Nansheng Chen
Identification of protein hot regions by integrated machine learning algorithm. BIBM (2019)
Jing Hu, Longwei Zhou, Xiaolong Zhang, Nansheng Chen
Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN. ICIC (2) (2019)
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 (2019)
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) (2019)
Nan Mu, Xin Xu, Xiaolong Zhang
Finding autofocus region in low contrast surveillance images using CNN-based saliency algorithm. Pattern Recognit. Lett. 125 (2019)
Xiaoli Lin, Xiaolong Zhang, Fengli Zhou
Identification of Hotspots in Protein-Protein Interactions Based on Recursive Feature Elimination. ICIC (1) (2018)
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) (2018)
Haomin Gan, Jing Hu, Xiaolong Zhang, Qianqian Huang, Jiafu Zhao
Accurate Prediction of Hot Spots with Greedy Gradient Boosting Decision Tree. ICIC (2) (2018)
Nan Mu, Xin Xu, Xiaolong Zhang, Hong Zhang
Salient object detection using a covariance-based CNN model in low-contrast images. Neural Comput. Appl. 29 (8) (2018)
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)
Bo Li, Wei Guo, Xiaolong Zhang
A global manifold margin learning method for data feature extraction and classification. Eng. Appl. Artif. Intell. 75 (2018)
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 (2018)
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)
Nan Mu, Xin Xu, Xiaolong Zhang
Optimal Feature Selection for Saliency Seed Propagation in Low Contrast Images. PCM (3) (2018)
Bo Li, Ping-Ping Zheng, Jin Liu, Xiaolong Zhang
Face Recognition via Domain Adaptation and Manifold Distance Metric Learning. ICIC (2) (2017)
Jing Hu, Xiaoli Lin, Xiaolong Zhang
Protein Hot Regions Feature Research Based on Evolutionary Conservation. ICIC (2) (2017)
Xiaoli Lin, Xiaolong Zhang, Jing Hu
Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions. ICIC (2) (2017)
Yulin Ding, Xiaolong Zhang, Jinshan Tang
A noisy sparse convolution neural network based on stacked auto-encoders. SMC (2017)
Nan Mu, Xin Xu, Xiaolong Zhang, Li Chen
Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images. ICONIP (3) (2017)
Nan Mu, Xin Xu, Xiaolong Zhang
Estimation of Local and Global Superpixel Covariance for Salient Object Detection in Low Contrast Images. ICMLC (2017)
Bo Li, Zhang-Tao Fan, Xiaolong Zhang
Feature space distance metric learning for discriminant graph embedding. IJCNN (2016)
Bo Li, Xiao-Hui Lei, Yang Hu, Xiaolong Zhang
A Hybrid Tumor Gene Selection Method with Laplacian Score and Correlation Analysis. ICIC (1) (2016)
Xin Xu, Nan Mu, Xiaolong Zhang, Bo Li
Covariance descriptor based convolution neural network for saliency computation in low contrast images. IJCNN (2016)
Nan Mu, Xin Xu, Xiaolong Zhang
Salient Object Detection from Single Haze Images via Dark Channel Prior and Region Covariance Descriptor. IVS (2016)
Xiaoli Lin, Xiaolong Zhang
Prediction and analysis of hot region in protein-protein interactions. BIBM (2016)
Xiaotong Huang, Li Chen, Jing Tian, Xiaolong Zhang
Blind image noise level estimation using texture-based eigenvalue analysis. Multim. Tools Appl. 75 (5) (2016)
Qianqian Huang, Xiaolong Zhang
An improved ensemble learning method with SMOTE for protein interaction hot spots prediction. BIBM (2016)
Lin Xia, Xiaolong Zhang, Bo Li
Improving Deep Learning Accuracy with Noisy Autoencoders Embedded Perturbative Layers. ICIC (3) (2016)
Xiaoli Lin, Xiaolong Zhang
Identification of Hot Regions in Protein-Protein Interactions Based on Detecting Local Community Structure. ICIC (1) (2016)
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) (2016)
Jing Hu, Xiaolong Zhang
Prediction of hot regions in protein-protein interaction by density-based incremental clustering with parameter selection. BIBM (2015)
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 (2015)
Jing Hu, Xiaolong Zhang
Testing whether hot regions in protein-protein interactions are conserved in different species. BIBM (2015)
Jing Hu, Xiaolong Zhang
Identification of Hot Regions in Protein Interfaces: Combining Density Clustering and Neighbor Residues Improves the Accuracy. ICIC (2) (2015)
Danqin Wang, Xiaolong Zhang
Mobile user stability prediction with Random Forest model. DSAA (2014)
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 (2014)
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) (2014)
Xiaoyong Bian, Xiaolong Zhang, Renfeng Liu, Li Ma, Xiaowei Fu
Adaptive classification of hyperspectral images using local consistency. J. Electronic Imaging 23 (6) (2014)
Bingqin Tan, Xiaolong Zhang
Prediction of hot regions in protein-protein interaction based on the Gi statistics and cascade classifier. BIBM (2014)
Xiaoli Lin, Xiaolong Zhang
Protein folding structure optimization based on GAPSO algorithm in the off-lattice model. BIBM (2014)
Xiaoli Lin, Xiaolong Zhang, Fengli Zhou
Protein structure prediction with local adjust tabu search algorithm. BMC Bioinform. 15 (S-15) (2014)
Junjie Wang, Xiaolong Zhang
Efficient Deep Learning Algorithm with Accelerating Inference Strategy. ADMA (2014)
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) (2014)
Xiaotong Huang, Li Chen, Jing Tian, Xiaolong Zhang, Xiaowei Fu
Blind noisy image quality assessment using block homogeneity. Comput. Electr. Eng. 40 (3) (2014)
Dongfang Nan, Xiaolong Zhang
Prediction of hot regions in protein-protein interactions based on complex network and community detection. BIBM (2013)
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) (2013)
Jiaolong Huang, Xiaolong Zhang
An incremental grid clustering algorithm based on density-dimension-tree. ICMLC (2013)
Xiaotong Huang, Li Chen, Jing Tian, Xiaolong Zhang, Xiaowei Fu
Homogeneity Based Blind Noisy Image Quality Assessment. SMC (2013)
Juhong Qi, Xiaolong Zhang, Bo Li
Protein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation. ADMA (2) (2013)
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) (2013)
Xiaolong Zhang, Chao Cheng
Imbalanced data classification algorithm based on boosting and cascade model. SMC (2012)
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) (2011)
Rui Peng, Xiaolong Zhang, Hua Zhang
Emulation of Dynamic Secondary Cooling and Soft Reduction in Continuous Slab Casting. ICAIC (1) (2011)
Li Chen, Yang Xiang, YaoJie Chen, Xiaolong Zhang
Retinal image registration using bifurcation structures. ICIP (2011)
Xin Xu, Yinglin Wang, Jinshan Tang, Xiaolong Zhang, Xiaoming Liu
Adaptive Variance Based Sharpness Computation for Low Contrast Images. ICIC (1) (2011)
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) (2010)
Xiaolong Zhang, Na Zeng, Jinshan Tang, Xin Xu
Web user behavior monitoring for campus networks. SMC (2010)
Xin Xu, Jinshan Tang, Xiaoming Liu, Xiaolong Zhang
Human behavior understanding for video surveillance: Recent advance. SMC (2010)
Xiaoming Liu, Jinshan Tang, Xiaolong Zhang
A multiscale image enhancement method for calcification detection in screening mammograms. ICIP (2009)
Jiapeng Qu, Hanchao Zhu, Haijun Hu, Xiaolong Zhang
Resource Schedule and Allocation of Production Line with Real-Time Data Streams. DBTA (2009)
Xiaolong Zhang, Wen Cheng
An Improved Tabu Search Algorithm for 3D Protein Folding Problem. PRICAI (2008)
Xiaolong Zhang, Xiaoli Lin, Chengpeng Wan, Tingting Li
Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model. PAKDD Workshops (2007)
Haidong Fu, Xiguo Yuan, Kui Zhang, Xiaolong Zhang, Qi Xie
Investigating Novel Immune-Inspired Multi-agent Systems for Anomaly Detection. APSCC (2007)
Xiaolong Zhang, Chuan Jiang, Mingjian Luo
Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis. PKAW (2006)
Xiaolong Zhang, Xiaoli Lin
Protein Folding Prediction Using an Improved Genetic-Annealing Algorithm. Australian Conference on Artificial Intelligence (2006)
Xiaolong Zhang, Mingjian Luo, Daoying Pi
Effective Classifier Pruning with Rule Information. Discovery Science (2005)
Xiaolong Zhang, Tetsuo Narita
Integrated Mining for Cancer Incidence Factors from Healthcare Data. Active Mining (2003)
Xiaolong Zhang, Masayuki Numao
Toward Effective Knowledge Acquisition with First-Order Logic Induction. J. Comput. Sci. Technol. 17 (5) (2002)
Xiaolong Zhang, Tetsuo Narita
Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires. Discovery Science (1999)
Xiaolong Zhang, Tetsuo Narita, Masayuki Numao
Toward Effective Knowledge Acquisition with First Order Logic Induction. Discovery Science (1998)
Xiaolong Zhang, Masayuki Numao
An efficient multiple predicate learner. J. Comput. Sci. Technol. 13 (3) (1998)
Xiaolong Zhang, Masayuki Numao
Learning and Revising Theories in Noisy Domains. ALT (1997)
Xiaolong Zhang, Masayuki Numao
Efficient Multiple Predicate Learner Based on Fast Failure Mechanism. PRICAI (1996)