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2020 – today
- 2020
[j9]Ke Ren
, Yiyao Wu, Huijie Zhang, Jia Fu, Dezhan Qu, Xiaoli Lin:
Visual Analytics of Air Pollution Propagation Through Dynamic Network Analysis. IEEE Access 8: 205289-205306 (2020)- [j8]Dezhan Qu, Xiaoli Lin, Ke Ren, Quanle Liu, Huijie Zhang:
AirExplorer: visual exploration of air quality data based on time-series querying. J. Vis. 23(6): 1129-1145 (2020) - [j7]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) - [c27]Minqi Xu, Xiaolong Zhang, Xiaoli Lin:
Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix. BIBM 2020: 503-506 - [c26]Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-target Interaction Prediction via Multiple Output Deep Learning. BIBM 2020: 507-510 - [c25]Xiaoli Lin, Minqi Xu, Haiping Yu:
Prediction of Drug-Target Interactions with CNNs and Random Forest. ICIC (2) 2020: 361-370
2010 – 2019
- 2019
- [j6]Qiqige Wuniri, Wei Huangfu, Yaxi Liu, Xiaoli Lin, Liyuan Liu, Zhigang Yu:
A Generic-Driven Wrapper Embedded With Feature-Type-Aware Hybrid Bayesian Classifier for Breast Cancer Classification. IEEE Access 7: 119931-119942 (2019) - [j5]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) - [c24]Xiaoli Lin, Fengli Zhou:
Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest. ICIC (2) 2019: 324-332 - [c23]Fengli Zhou, Xiaoli Lin:
Research on HP Model Optimization Method Based on Reinforcement Learning. ICIC (2) 2019: 480-492 - [c22]Fengli Zhou, Xiaoli Lin:
Resource Efficiency Optimization for Big Data Mining Algorithm with Multi-MapReduce Collaboration Scenario. ICIC (3) 2019: 503-514 - 2018
- [j4]Xiaofang Zhang, Xiaoli Lin, Rana Aamir Raza Ashfaq:
Impact of Different Random Initializations on Generalization Performance of Extreme Learning Machine. J. Comput. 13(7): 805-822 (2018) - [j3]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) - [j2]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) - [c21]Fengli Zhou, Xiaoli Lin:
Frequent Sequence Pattern Mining with Differential Privacy. ICIC (1) 2018: 454-466 - [c20]Xiaoli Lin, Xiaolong Zhang, Fengli Zhou:
Identification of Hotspots in Protein-Protein Interactions Based on Recursive Feature Elimination. ICIC (1) 2018: 576-582 - [c19]Fengli Zhou, Xiaoli Lin:
New Particle Swarm Optimization Based on Sub-groups Mutation. ICIC (3) 2018: 639-649 - [c18]Huayong Yang, Xiaoli Lin:
A Novel Image Denoising Algorithm Based on Non-subsampled Contourlet Transform and Modified NLM. ICIC (3) 2018: 689-699 - 2017
- [c17]Xiaoli Lin, Qianqian Huang, Fengli Zhou:
Effective Identification of Hot Spots in PPIs Based on Ensemble Learning. ICIC (2) 2017: 199-207 - [c16]Jing Hu, Xiaoli Lin, Xiaolong Zhang:
Protein Hot Regions Feature Research Based on Evolutionary Conservation. ICIC (2) 2017: 254-260 - [c15]Xiaoli Lin, Xiaolong Zhang, Jing Hu:
Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions. ICIC (2) 2017: 365-374 - [c14]Fengli Zhou, Xiaoli Lin:
Similarity Comparison of 3D Protein Structure Based on Riemannian Manifold. ICIC (2) 2017: 387-397 - 2016
- [c13]Xiaoli Lin, Xiaolong Zhang:
Prediction and analysis of hot region in protein-protein interactions. BIBM 2016: 1598-1603 - [c12]Xiaoli Lin, Wei Huangfu, Fei Wang, Liyuan Liu, Keping Long:
A Breast Cancer Risk Classification Model Based on the Features Selected by Novel F-Score Index for the Imbalanced Multi-Feature Dataset. CyberC 2016: 198-203 - [c11]Xiaoli Lin, Xiaolong Zhang:
Identification of Hot Regions in Protein-Protein Interactions Based on Detecting Local Community Structure. ICIC (1) 2016: 432-438 - [c10]Xiaoli Lin, Fengli Zhou, Huayong Yang:
Effective Protein Structure Prediction with the Improved LAPSO Algorithm in the AB Off-Lattice Model. ICIC (1) 2016: 448-454 - [c9]Yanxia Yang, Xiaoli Lin:
Tourism Network Comments Sentiment Analysis and Early Warning System Based on Ontology. ICIC (2) 2016: 863-870 - 2015
- [c8]Xiaoli Lin, Huayong Yang, Jing Ye:
Identification of Hot Regions in Protein-Protein Interactions Based on SVM and DBSCAN. ICIC (2) 2015: 390-398 - 2014
- [j1]Xiaoli Lin, Xiaolong Zhang, Fengli Zhou:
Protein structure prediction with local adjust tabu search algorithm. BMC Bioinform. 15(S-15): S1 (2014) - [c7]Xiaoli Lin, Xiaolong Zhang:
Protein folding structure optimization based on GAPSO algorithm in the off-lattice model. BIBM 2014: 43-49 - [c6]Fengli Zhou, Xiaoli Lin:
Research of Training Feedforward Neural Networks Based on Hybrid Chaos Particle Swarm Optimization-Back-Propagation. ICIC (3) 2014: 41-47 - 2013
- [c5]Xiaoli Lin, Fengli Zhou:
3D Protein Structure Prediction with Local Adjust Tabu Search Algorithm. ICIC (3) 2013: 106-111 - 2010
- [c4]Li Zheng, Xiaoli Lin, Fei Qiao, Tao Yang:
Existences of two solutions of one-dimensional computational verb cellular networks. ICNC 2010: 2102-2106
2000 – 2009
- 2009
- [c3]Xiaoli Lin, Pavol Zavarsky, Ron Ruhl, Dale Lindskog:
Threat Modeling for CSRF Attacks. CSE (3) 2009: 486-491 - 2007
- [c2]Xiaolong Zhang, Xiaoli Lin, Chengpeng Wan, Tingting Li:
Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model. PAKDD Workshops 2007: 186-193 - 2006
- [c1]Xiaolong Zhang, Xiaoli Lin:
Protein Folding Prediction Using an Improved Genetic-Annealing Algorithm. Australian Conference on Artificial Intelligence 2006: 1196-1200
Coauthor Index
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