Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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.uni-trier.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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2023
[j38]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)- [j37]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) - 2022
- [j36]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-target interaction prediction via multiple classification strategies. BMC Bioinform. 22-S(12): 461 (2022) - [j35]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) - [j34]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) - [j33]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) - 2021
- [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - 2020
- [j27]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) - [j26]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) - [j25]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) - 2019
- [j24]Bo Li, Yan-Rui Li, Xiaolong Zhang:
A survey on Laplacian eigenmaps based manifold learning methods. Neurocomputing 335: 336-351 (2019) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - 2018
- [j19]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) - [j18]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): 181-192 (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) - 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) - 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) - 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) - 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) - 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) - 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) - 2002
- [j2]Xiaolong Zhang, Masayuki Numao:
Toward Effective Knowledge Acquisition with First-Order Logic Induction. J. Comput. Sci. Technol. 17(5): 565-577 (2002) - 1998
- [j1]Xiaolong Zhang, Masayuki Numao:
An efficient multiple predicate learner. J. Comput. Sci. Technol. 13(3): 268-278 (1998)
Conference and Workshop Papers
- 2023
- [c71]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 - 2022
- [c70]Zhuang Yin, Xiaoli Lin, Xiaolong Zhang:
Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation. BIBM 2022: 3209-3216 - [c69]Tianyi Zhou, Yu Liu, Hang Zhang, Feng Gao, Xiaolong Zhang:
Optimization of Bit Matrix Index for Temporal RDF. CCKS 2022: 95-107 - [c68]Jinglu Tao, Xiaolong Zhang, Xiaoli Lin:
A Targeted Drug Design Method Based on GRU and TopP Sampling Strategies. ICIC (2) 2022: 423-437 - [c67]Zhenghao Wu, Xiaolong Zhang, Xiaoli Lin:
KGAT: Predicting Drug-Target Interaction Based on Knowledge Graph Attention Network. ICIC (2) 2022: 438-450 - [c66]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 - [c65]Hang Zhang, Jing Hu, Xiaolong Zhang:
Drug-Target Affinity Prediction Based on Multi-channel Graph Convolution. ICIC (2) 2022: 533-546 - 2021
- [c64]Shuo Zhang, Xiaoli Lin, Xiaolong Zhang:
Discovering DTI and DDI by Knowledge Graph with MHRW and Improved Neural Network. BIBM 2021: 588-593 - [c63]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 - [c62]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
De Novo Drug Design via Multi-Label Learning and Adversarial Autoencoder. BIBM 2021: 3456-3463 - [c61]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks. ICIC (3) 2021: 87-99 - [c60]Jinfan Zou, Xiaolong Zhang, Xiaoli Lin:
A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism. ICIC (1) 2021: 129-142 - [c59]Tingting Niu, Xiaolong Zhang, Chunhua Deng, Ruoqin Chen:
Dual-Channel Recalibration and Feature Fusion Method for Liver Image Classification. ICIC (2) 2021: 579-591 - [c58]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
- [c57]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 - [c56]Minqi Xu, Xiaolong Zhang, Xiaoli Lin:
Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix. BIBM 2020: 503-506 - [c55]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-target Interaction Prediction via Multiple Output Deep Learning. BIBM 2020: 507-510 - 2019
- [c54]Jing Hu, Haomin Gan, Xiaolong Zhang, Nansheng Chen:
Identification of protein hot regions by integrated machine learning algorithm. BIBM 2019: 24-29 - [c53]Nan Mu, Xin Xu, Xiaolong Zhang:
Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement. CVPR Workshops 2019: 743-751 - [c52]Jing Hu, Longwei Zhou, Xiaolong Zhang, Nansheng Chen:
Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN. ICIC (2) 2019: 440-452 - 2018
- [c51]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 - [c50]Yi Liu, Xiaolong Zhang:
Breast Cancer Medical Image Analysis Based on Transfer Learning Model. ICIC (2) 2018: 44-53 - [c49]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 - [c48]Xiaoli Lin, Xiaolong Zhang, Fengli Zhou:
Identification of Hotspots in Protein-Protein Interactions Based on Recursive Feature Elimination. ICIC (1) 2018: 576-582 - [c47]Nan Mu, Xin Xu, Xiaolong Zhang:
Optimal Feature Selection for Saliency Seed Propagation in Low Contrast Images. PCM (3) 2018: 35-45 - [c46]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 - 2017
- [c45]Bo Li, Ping-Ping Zheng, Jin Liu, Xiaolong Zhang:
Face Recognition via Domain Adaptation and Manifold Distance Metric Learning. ICIC (2) 2017: 3-10 - [c44]Jing Hu, Xiaoli Lin, Xiaolong Zhang:
Protein Hot Regions Feature Research Based on Evolutionary Conservation. ICIC (2) 2017: 254-260 - [c43]Xiaoli Lin, Xiaolong Zhang, Jing Hu:
Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions. ICIC (2) 2017: 365-374 - [c42]Chen Zhang, Xiaolong Zhang:
An Effective Sampling Strategy for Ensemble Learning with Imbalanced Data. ICIC (3) 2017: 377-388 - [c41]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 - [c40]Nan Mu, Xin Xu, Xiaolong Zhang, Li Chen:
Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images. ICONIP (3) 2017: 602-612 - [c39]Yulin Ding, Xiaolong Zhang, Jinshan Tang:
A noisy sparse convolution neural network based on stacked auto-encoders. SMC 2017: 3457-3461 - 2016
- [c38]Qianqian Huang, Xiaolong Zhang:
An improved ensemble learning method with SMOTE for protein interaction hot spots prediction. BIBM 2016: 1584-1589 - [c37]Xiaoli Lin, Xiaolong Zhang:
Prediction and analysis of hot region in protein-protein interactions. BIBM 2016: 1598-1603 - [c36]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 - [c35]Lin Xia, Xiaolong Zhang, Bo Li:
Improving Deep Learning Accuracy with Noisy Autoencoders Embedded Perturbative Layers. ICIC (3) 2016: 229-238 - [c34]Xiaoli Lin, Xiaolong Zhang:
Identification of Hot Regions in Protein-Protein Interactions Based on Detecting Local Community Structure. ICIC (1) 2016: 432-438 - [c33]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 - [c32]Bo Li, Zhang-Tao Fan, Xiaolong Zhang:
Feature space distance metric learning for discriminant graph embedding. IJCNN 2016: 3608-3613 - [c31]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
- [c30]Jing Hu, Xiaolong Zhang:
Prediction of hot regions in protein-protein interaction by density-based incremental clustering with parameter selection. BIBM 2015: 1162-1169 - [c29]Jing Hu, Xiaolong Zhang:
Testing whether hot regions in protein-protein interactions are conserved in different species. BIBM 2015: 1624-1629 - [c28]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
- [c27]Junjie Wang, Xiaolong Zhang:
Efficient Deep Learning Algorithm with Accelerating Inference Strategy. ADMA 2014: 394-405 - [c26]Bingqin Tan, Xiaolong Zhang:
Prediction of hot regions in protein-protein interaction based on the Gi statistics and cascade classifier. BIBM 2014: 23-30 - [c25]Xiaoli Lin, Xiaolong Zhang:
Protein folding structure optimization based on GAPSO algorithm in the off-lattice model. BIBM 2014: 43-49 - [c24]Danqin Wang, Xiaolong Zhang:
Mobile user stability prediction with Random Forest model. DSAA 2014: 430-434 - 2013
- [c23]Juhong Qi, Xiaolong Zhang, Bo Li:
Protein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation. ADMA (2) 2013: 201-210 - [c22]Dongfang Nan, Xiaolong Zhang:
Prediction of hot regions in protein-protein interactions based on complex network and community detection. BIBM 2013: 17-23 - [c21]Jiaolong Huang, Xiaolong Zhang:
An incremental grid clustering algorithm based on density-dimension-tree. ICMLC 2013: 356-361 - [c20]Xiaotong Huang, Li Chen, Jing Tian, Xiaolong Zhang, Xiaowei Fu:
Homogeneity Based Blind Noisy Image Quality Assessment. SMC 2013: 2963-2967 - 2012
- [c19]Xiaolong Zhang, Chao Cheng:
Imbalanced data classification algorithm based on boosting and cascade model. SMC 2012: 2861-2866 - 2011
- [c18]Rui Peng, Xiaolong Zhang, Hua Zhang:
Emulation of Dynamic Secondary Cooling and Soft Reduction in Continuous Slab Casting. ICAIC (1) 2011: 356-364 - [c17]Xin Xu, Yinglin Wang, Jinshan Tang, Xiaolong Zhang, Xiaoming Liu:
Adaptive Variance Based Sharpness Computation for Low Contrast Images. ICIC (1) 2011: 335-341 - [c16]Li Chen, Yang Xiang, YaoJie Chen, Xiaolong Zhang:
Retinal image registration using bifurcation structures. ICIP 2011: 2169-2172 - 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 - 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]Xiaolong Zhang, Chuan Jiang, Mingjian Luo:
Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis. PKAW 2006: 89-98 - 2005
- [c6]Xiaolong Zhang, Mingjian Luo, Daoying Pi:
Effective Classifier Pruning with Rule Information. Discovery Science 2005: 392-395 - 2003
- [c5]Xiaolong Zhang, Tetsuo Narita:
Integrated Mining for Cancer Incidence Factors from Healthcare Data. Active Mining 2003: 336-347 - 1999
- [c4]Xiaolong Zhang, Tetsuo Narita:
Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires. Discovery Science 1999: 371- - 1998
- [c3]Xiaolong Zhang, Tetsuo Narita, Masayuki Numao:
Toward Effective Knowledge Acquisition with First Order Logic Induction. Discovery Science 1998: 399-400 - 1997
- [c2]Xiaolong Zhang, Masayuki Numao:
Learning and Revising Theories in Noisy Domains. ALT 1997: 339-351 - 1996
- [c1]Xiaolong Zhang, Masayuki Numao:
Efficient Multiple Predicate Learner Based on Fast Failure Mechanism. PRICAI 1996: 35-46
Editorship
- 2018
- [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]
Informal and Other Publications
- 2020
- [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) - 2019
- [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)
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 01:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
