Efficient Multiple Predicate Learner Based on Fast Failure Mechanism. - Xiaolong Zhang 002; Masayuki Numao (PRICAI, 1996)

Learning and Revising Theories in Noisy Domains. - Xiaolong Zhang 002; Masayuki Numao (ALT, 1997)

Toward Effective Knowledge Acquisition with First Order Logic Induction. - Xiaolong Zhang 002; Tetsuo Narita; Masayuki Numao (Discovery Science, 1998)

An efficient multiple predicate learner. - Xiaolong Zhang 002; Masayuki Numao (J. Comput. Sci. Technol., 1998)

Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires. - Xiaolong Zhang 002; Tetsuo Narita (Discovery Science, 1999)

Toward Effective Knowledge Acquisition with First-Order Logic Induction. - Xiaolong Zhang 002; Masayuki Numao (J. Comput. Sci. Technol., 2002)

Integrated Mining for Cancer Incidence Factors from Healthcare Data. - Xiaolong Zhang 002; Tetsuo Narita (Active Mining, 2003)

Effective Classifier Pruning with Rule Information. - Xiaolong Zhang 002; Mingjian Luo; Daoying Pi (Discovery Science, 2005)

Protein Folding Prediction Using an Improved Genetic-Annealing Algorithm. - Xiaolong Zhang 002; Xiaoli Lin (Australian Conference on Artificial Intelligence, 2006)

Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis. - Xiaolong Zhang 002; Chuan Jiang; Mingjian Luo (PKAW, 2006)

Investigating Novel Immune-Inspired Multi-agent Systems for Anomaly Detection. - Haidong Fu; Xiguo Yuan; Kui Zhang; Xiaolong Zhang 002; Qi Xie (APSCC, 2007)

Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model. - Xiaolong Zhang 002; Xiaoli Lin; Chengpeng Wan; Tingting Li (PAKDD Workshops, 2007)

An Improved Tabu Search Algorithm for 3D Protein Folding Problem. - Xiaolong Zhang 002; Wen Cheng (PRICAI, 2008)

Resource Schedule and Allocation of Production Line with Real-Time Data Streams. - Jiapeng Qu; Hanchao Zhu; Haijun Hu; Xiaolong Zhang 002 (DBTA, 2009)

A multiscale image enhancement method for calcification detection in screening mammograms. - Xiaoming Liu 004; Jinshan Tang; Xiaolong Zhang 002 (ICIP, 2009)

Human behavior understanding for video surveillance: Recent advance. - Xin Xu 007; Jinshan Tang; Xiaoming Liu 004; Xiaolong Zhang 002 (SMC, 2010)

Web user behavior monitoring for campus networks. - Xiaolong Zhang 002; Na Zeng; Jinshan Tang; Xin Xu 007 (SMC, 2010)

3D Protein structure prediction with genetic tabu search algorithm. - Xiaolong Zhang 002; Ting Wang; Huiping Luo; Jack Y. Yang; Youping Deng; Jinshan Tang; Mary Qu Yang (BMC Syst. Biol., 2010)

Emulation of Dynamic Secondary Cooling and Soft Reduction in Continuous Slab Casting. - Rui Peng; Xiaolong Zhang 002; Hua Zhang (ICAIC (1), 2011)

Adaptive Variance Based Sharpness Computation for Low Contrast Images. - Xin Xu 007; Yinglin Wang; Jinshan Tang; Xiaolong Zhang 002; Xiaoming Liu 004 (ICIC (1), 2011)

Retinal image registration using bifurcation structures. - Li Chen 011; Yang Xiang; YaoJie Chen; Xiaolong Zhang 002 (ICIP, 2011)

Suspicious user tracking based on web data analysis. - Zhaohong Qin; Xiaolong Zhang 002; Zong Huang; Na Zeng; Jinshan Tang (SMC, 2011)

Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure. - Xin Xu 007; Yinglin Wang; Jinshan Tang; Xiaolong Zhang 002; Xiaoming Liu 004 (Sensors, 2011)

Imbalanced data classification algorithm based on boosting and cascade model. - Xiaolong Zhang 002; Chao Cheng (SMC, 2012)

Protein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation. - Juhong Qi; Xiaolong Zhang 002; Bo Li 002 (ADMA (2), 2013)

Prediction of hot regions in protein-protein interactions based on complex network and community detection. - Dongfang Nan; Xiaolong Zhang 002 (BIBM, 2013)

An incremental grid clustering algorithm based on density-dimension-tree. - Jiaolong Huang; Xiaolong Zhang 002 (ICMLC, 2013)

Homogeneity Based Blind Noisy Image Quality Assessment. - Xiaotong Huang; Li Chen 011; Jing Tian 002; Xiaolong Zhang 002; Xiaowei Fu (SMC, 2013)

Clustering-Based Extraction of Near Border Data Samples for Remote Sensing Image Classification. - Xiaoyong Bian; Tianxu Zhang; Xiaolong Zhang 002; Luxin Yan; Bo Li 002 (Cogn. Comput., 2013)

Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation. - Xin Xu 007; Jinshan Tang; Xiaolong Zhang 002; Xiaoming Liu 004; Hong Zhang 022; Yimin Qiu (Sensors, 2013)

Efficient Deep Learning Algorithm with Accelerating Inference Strategy. - Junjie Wang; Xiaolong Zhang 002 (ADMA, 2014)

Protein folding structure optimization based on GAPSO algorithm in the off-lattice model. - Xiaoli Lin; Xiaolong Zhang 002 (BIBM, 2014)

Prediction of hot regions in protein-protein interaction based on the Gi statistics and cascade classifier. - Bingqin Tan; Xiaolong Zhang 002 (BIBM, 2014)

Mobile user stability prediction with Random Forest model. - Danqin Wang; Xiaolong Zhang 002 (DSAA, 2014)

Protein structure prediction with local adjust tabu search algorithm. - Xiaoli Lin; Xiaolong Zhang 002; Fengli Zhou (BMC Bioinform., 2014)

Locally linear representation Fisher criterion based tumor gene expressive data classification. - Bo Li 002; Bei-Bei Tian; Xiaolong Zhang 002; Xiao-Ping (Steven) Zhang (Comput. Biol. Medicine, 2014)

Blind noisy image quality assessment using block homogeneity. - Xiaotong Huang; Li Chen 011; Jing Tian 002; Xiaolong Zhang 002; Xiaowei Fu (Comput. Electr. Eng., 2014)

Robust passive autofocus system for mobile phone camera applications. - Xin Xu 007; Xiaolong Zhang 002; Haidong Fu; Li Chen 011; Hong Zhang 022; Xiaowei Fu (Comput. Electr. Eng., 2014)

Adaptive classification of hyperspectral images using local consistency. - Xiaoyong Bian; Xiaolong Zhang 002; Renfeng Liu; Li Ma; Xiaowei Fu (J. Electronic Imaging, 2014)

A comparison of contrast measurements in passive autofocus systems for low contrast images. - Xin Xu 007; Yinglin Wang; Xiaolong Zhang 002; Shunxin Li; Xiaoming Liu 004; Xiaofeng Wang; Jinshan Tang (Multim. Tools Appl., 2014)

Prediction of hot regions in protein-protein interaction by density-based incremental clustering with parameter selection. - Jing Hu 003; Xiaolong Zhang 002 (BIBM, 2015)

Testing whether hot regions in protein-protein interactions are conserved in different species. - Jing Hu 003; Xiaolong Zhang 002 (BIBM, 2015)

Identification of Hot Regions in Protein Interfaces: Combining Density Clustering and Neighbor Residues Improves the Accuracy. - Jing Hu 003; Xiaolong Zhang 002 (ICIC (2), 2015)

Prediction of hot regions in protein-protein interaction by combining density-based incremental clustering with feature-based classification. - Jing Hu 003; Xiaolong Zhang 002; Xiaoming Liu 004; Jinshan Tang (Comput. Biol. Medicine, 2015)

An improved ensemble learning method with SMOTE for protein interaction hot spots prediction. - Qianqian Huang; Xiaolong Zhang 002 (BIBM, 2016)

Prediction and analysis of hot region in protein-protein interactions. - Xiaoli Lin; Xiaolong Zhang 002 (BIBM, 2016)

A Hybrid Tumor Gene Selection Method with Laplacian Score and Correlation Analysis. - Bo Li 002; Xiao-Hui Lei; Yang Hu; Xiaolong Zhang 002 (ICIC (1), 2016)

Identification of Hot Regions in Protein-Protein Interactions Based on Detecting Local Community Structure. - Xiaoli Lin; Xiaolong Zhang 002 (ICIC (1), 2016)

Improving Deep Learning Accuracy with Noisy Autoencoders Embedded Perturbative Layers. - Lin Xia; Xiaolong Zhang 002; Bo Li 002 (ICIC (3), 2016)

Feature space distance metric learning for discriminant graph embedding. - Bo Li 002; Zhang-Tao Fan; Xiaolong Zhang 002 (IJCNN, 2016)

Covariance descriptor based convolution neural network for saliency computation in low contrast images. - Xin Xu 007; Nan Mu; Xiaolong Zhang 002; Bo Li 002 (IJCNN, 2016)

Salient Object Detection from Single Haze Images via Dark Channel Prior and Region Covariance Descriptor. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (IVS, 2016)

Blind image noise level estimation using texture-based eigenvalue analysis. - Xiaotong Huang; Li Chen 011; Jing Tian 002; Xiaolong Zhang 002 (Multim. Tools Appl., 2016)

Hierarchical salient object detection model using contrast-based saliency and color spatial distribution. - Xin Xu 007; Nan Mu; Li Chen 011; Xiaolong Zhang 002 (Multim. Tools Appl., 2016)

Protein Hot Regions Feature Research Based on Evolutionary Conservation. - Jing Hu 003; Xiaoli Lin; Xiaolong Zhang 002 (ICIC (2), 2017)

Face Recognition via Domain Adaptation and Manifold Distance Metric Learning. - Bo Li 002; Ping-Ping Zheng; Jin Liu 016; Xiaolong Zhang 002 (ICIC (2), 2017)

Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions. - Xiaoli Lin; Xiaolong Zhang 002; Jing Hu 003 (ICIC (2), 2017)

An Effective Sampling Strategy for Ensemble Learning with Imbalanced Data. - Chen Zhang; Xiaolong Zhang 002 (ICIC (3), 2017)

Estimation of Local and Global Superpixel Covariance for Salient Object Detection in Low Contrast Images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (ICMLC, 2017)

Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002; Li Chen 011 (ICONIP (3), 2017)

A noisy sparse convolution neural network based on stacked auto-encoders. - Yulin Ding; Xiaolong Zhang 002; Jinshan Tang (SMC, 2017)

Analysis of hot regions prediction in PPI with different amino acid mutation using machine learning algorithm. - Jing Hu 003; Haomin Gan; Xiaolong Zhang 002; Nansheng Chen (BIBM, 2018)

Accurate Prediction of Hot Spots with Greedy Gradient Boosting Decision Tree. - Haomin Gan; Jing Hu 003; Xiaolong Zhang 002; Qianqian Huang; Jiafu Zhao (ICIC (2), 2018)

Identification of Hotspots in Protein-Protein Interactions Based on Recursive Feature Elimination. - Xiaoli Lin; Xiaolong Zhang 002; Fengli Zhou (ICIC (1), 2018)

Breast Cancer Medical Image Analysis Based on Transfer Learning Model. - Yi Liu; Xiaolong Zhang 002 (ICIC (2), 2018)

Optimal Feature Selection for Saliency Seed Propagation in Low Contrast Images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (PCM (3), 2018)

Ant Colony Optimization Based Salient Object Detection for Weak Light Images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

A global manifold margin learning method for data feature extraction and classification. - Bo Li 002; Wei Guo; Xiaolong Zhang 002 (Eng. Appl. Artif. Intell., 2018)

Discrete stationary wavelet transform based saliency information fusion from frequency and spatial domain in low contrast images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002; Xiaoli Lin (Pattern Recognit. Lett., 2018)

Prediction of Hot Regions in PPIs Based on Improved Local Community Structure Detecting. - Xiaoli Lin; Xiaolong Zhang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Identification of protein hot regions by integrated machine learning algorithm. - Jing Hu 003; Haomin Gan; Xiaolong Zhang 002; Nansheng Chen (BIBM, 2019)

Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (CVPR Workshops, 2019)

Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN. - Jing Hu 003; Longwei Zhou; Xiaolong Zhang 002; Nansheng Chen (ICIC (2), 2019)

A survey on Laplacian eigenmaps based manifold learning methods. - Bo Li 002; Yan-Rui Li; Xiaolong Zhang 002 (Neurocomputing, 2019)

A spatial-frequency-temporal domain based saliency model for low contrast video sequences. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (J. Vis. Commun. Image Represent., 2019)

Finding autofocus region in low contrast surveillance images using CNN-based saliency algorithm. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (Pattern Recognit. Lett., 2019)

Efficiently Predicting Hot Spots in PPIs by Combining Random Forest and Synthetic Minority Over-Sampling Technique. - Xiaolong Zhang 002; Xiaoli Lin; Jiafu Zhao; Qianqian Huang; Xin Xu 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Effective shadow removal via multi-scale image decomposition. - Ling Zhang 017; Qingan Yan; Yao Zhu; Xiaolong Zhang 002; Chunxia Xiao (Vis. Comput., 2019)

RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal. - Ling Zhang 017; Chengjiang Long; Xiaolong Zhang 002; Chunxia Xiao (AAAI, 2020)

Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix. - Minqi Xu; Xiaolong Zhang 002; Xiaoli Lin (BIBM, 2020)

Drug-target Interaction Prediction via Multiple Output Deep Learning. - Qing Ye; Xiaolong Zhang 002; Xiaoli Lin (BIBM, 2020)

CLA-GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal. - Ling Zhang 017; Chengjiang Long; Qingan Yan; Xiaolong Zhang 002; Chunxia Xiao (Comput. Graph. Forum, 2020)

Identification of protein hot regions by combining structure-based classification, energy-based clustering and sequence-based conservation in evolution. - Jing Hu 003; Haomin Gan; Nansheng Chen; Xiaolong Zhang 002 (Int. J. Data Min. Bioinform., 2020)

Efficient Classification of Hot Spots and Hub Protein Interfaces by Recursive Feature Elimination and Gradient Boosting. - Xiaoli Lin; Xiaolong Zhang 002; Xin Xu 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Prediction of hot spots in protein-protein interaction by Nine-Pipeline & Ensemble Learning strategy. - Jing Hu 003; Zonghao Li; Xiaolong Zhang 002; Nansheng Chen (BIBM, 2021)

De Novo Drug Design via Multi-Label Learning and Adversarial Autoencoder. - Qing Ye; Xiaolong Zhang 002; Xiaoli Lin (BIBM, 2021)

Discovering DTI and DDI by Knowledge Graph with MHRW and Improved Neural Network. - Shuo Zhang; Xiaoli Lin; Xiaolong Zhang 002 (BIBM, 2021)

Dual-Channel Recalibration and Feature Fusion Method for Liver Image Classification. - Tingting Niu; Xiaolong Zhang 002; Chunhua Deng; Ruoqin Chen (ICIC (2), 2021)

Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks. - Qing Ye; Xiaolong Zhang 002; Xiaoli Lin (ICIC (3), 2021)

A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism. - Jinfan Zou; Xiaolong Zhang 002; Xiaoli Lin (ICIC (1), 2021)

Semantic segmentation method of 3D liver image based on contextual attention model. - Sai Shao; Xiaolong Zhang 002; Ruoqin Chen; Chunhua Deng (SMC, 2021)

Improve hot region prediction by analyzing different machine learning algorithms. - Jing Hu 003; Longwei Zhou; Bo Li 002; Xiaolong Zhang 002; Nansheng Chen (BMC Bioinform., 2021)

Identification of hot regions in hub protein-protein interactions by clustering and PPRA optimization. - Xiaoli Lin; Xiaolong Zhang 002 (BMC Medical Informatics Decis. Mak., 2021)

Rethinking data collection for person re-identification: active redundancy reduction. - Xin Xu 007; Lei Liu; Xiaolong Zhang 002; Weili Guan; Ruimin Hu (Pattern Recognit., 2021)

Efficient and Exact Multigraph Matching Search. - Jun Pang 002; Zhiliang Shu; Linlin Ding; Chengyang Jiang; Chen Liu; Xiaolong Zhang 002 (IEEE Trans. Ind. Informatics, 2021)

Exploring Image Enhancement for Salient Object Detection in Low Light Images. - Xin Xu 007; Shiqin Wang; Zheng Wang 007; Xiaolong Zhang 002; Ruimin Hu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation. - Zhuang Yin; Xiaoli Lin; Xiaolong Zhang 002 (BIBM, 2022)

Optimization of Bit Matrix Index for Temporal RDF. - Tianyi Zhou; Yu Liu; Hang Zhang; Feng Gao; Xiaolong Zhang 002 (CCKS, 2022)

A Targeted Drug Design Method Based on GRU and TopP Sampling Strategies. - Jinglu Tao; Xiaolong Zhang 002; Xiaoli Lin (ICIC (2), 2022)

KGAT: Predicting Drug-Target Interaction Based on Knowledge Graph Attention Network. - Zhenghao Wu; Xiaolong Zhang 002; Xiaoli Lin (ICIC (2), 2022)

Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec. - Minghao Xia; Jing Hu 003; Xiaolong Zhang 002; Xiaoli Lin (ICIC (2), 2022)

Drug-Target Affinity Prediction Based on Multi-channel Graph Convolution. - Hang Zhang; Jing Hu 003; Xiaolong Zhang 002 (ICIC (2), 2022)

Drug-target interaction prediction via multiple classification strategies. - Qing Ye; Xiaolong Zhang 002; Xiaoli Lin (BMC Bioinform., 2022)

Cover: International Journal of Intelligent Systems, Volume 37 Issue 5 May 2022. - Zhijing Wan; Xin Xu 007; Zheng Wang 007; Toshihiko Yamasaki; Xiaolong Zhang 002; Ruimin Hu (Int. J. Intell. Syst., 2022)

Efficient virtual data search for annotation-free vehicle reidentification. - Zhijing Wan; Xin Xu 007; Zheng Wang 007; Toshihiko Yamasaki; Xiaolong Zhang 002; Ruimin Hu (Int. J. Intell. Syst., 2022)

Predicting Cancer Lymph-Node Metastasis From LncRNA Expression Profiles Using Local Linear Reconstruction Guided Distance Metric Learning. - Bo Li 002; Yihui Tian; Yang Tian; Shihua Zhang; Xiaolong Zhang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism. - Lizhi Wang; Xiaolong Zhang 002; Xiaoli Lin; Jing Hu 003 (ADMA (3), 2023)

Document Image Shadow Removal Guided by Color-Aware Background. - Ling Zhang 017; Yinghao He; Qing Zhang 006; Zheng Liu 004; Xiaolong Zhang 002; Chunxia Xiao (CVPR, 2023)

DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention. - Zhenhua Cai; Xiaoli Lin; Xiaolong Zhang 002; Jing Hu 003 (ICIC (3), 2023)

De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit Model. - Zonghao Li; Jing Hu 003; Xiaolong Zhang 002 (ICIC (3), 2023)

An Efficient Drug Design Method Based on Drug-Target Affinity. - Haoran Liu; Xiaolong Zhang 002; Xiaoli Lin; Jing Hu 003 (ICIC (3), 2023)

Identifying Drug-Target Interactions Through a Combined Graph Attention Mechanism and Self-attention Sequence Embedding Model. - Kang Wang; Jing Hu 003; Xiaolong Zhang 002 (ICIC (3), 2023)

Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural Network. - Xizi Wang; Jing Hu 003; Xiaolong Zhang 002 (ICIC (3), 2023)

Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks. - Qing Ye; Xiaolong Zhang 002; Xiaoli Lin (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Exploiting Residual and Illumination with GANs for Shadow Detection and Shadow Removal. - Ling Zhang 017; Chengjiang Long; Xiaolong Zhang 002; Chunxia Xiao (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning. - Bo Li 002; Chen Peng; Zeran You; Xiaolong Zhang 002; Shihua Zhang (Briefings Bioinform., 2023)

Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Feature Fusion. - Shuo Hu; Jing Hu 003; Xiaolong Zhang 002 (ICIC (LNBI 2), 2024)

Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism. - Weiwenzheng Liu; Xiaolong Zhang 002; Xiaoli Lin; Jing Hu 003 (ICIC (LNBI 2), 2024)

Drug Molecule Generation Method Based on Fusion of Protein Sequence Features. - Mengyao Wang; Xiaolong Zhang 002; Haoran Liu; Xiaoli Lin; Jing Hu 003; Jun Pang 002 (ICIC (LNBI 2), 2024)

KGRLFF: Detecting Drug-Drug Interactions Based on Knowledge Graph Representation Learning and Feature Fusion. - Xiaoli Lin; Zhuang Yin; Xiaolong Zhang 002; Jing Hu 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering. - Bo Li 002; Yongkang Zhao; Jing Hu 003; Shihua Zhang; Xiaolong Zhang 002 (Briefings Bioinform., 2025)

DLIENet: A lightweight low-light image enhancement network via knowledge distillation. - Ling Zhang 017; Zhenyu Li; Liang Cheng; Qing Zhang 006; Zheng Liu 004; Xiaolong Zhang 002; Chunxia Xiao (Pattern Recognit., 2026)