Publications
1. Jialiang Kou, Shengwu Xiong, Zhixiang Fang, Xinlu Zong, and Zhong Chen. "Multiobjective optimization of evacuation routes in stadium using superposed potential field network based ACO." Computational Intelligence and Neuroscience 2013 (2013): 1-11. [link]
2. Zhongbo Hu, Shengwu Xiong, Xiuhua Wang, Qinghua Su, Mianfang Liu, and Zhong Chen. "Subspace clustering mutation operator for developing convergent differential evolution algorithm." Mathematical Problems in Engineering 2014 (2014): 1-18. [link]
3. Zhong Chen, Shengwu Xiong, Zhixiang Fang, Qingquan Li, Baolin Wang, and Qin Zou. "A kernel support vector machine-based feature selection approach for recognizing Flying Apsaras’ streamers in the Dunhuang Grotto Murals, China." Pattern Recognition Letters 49 (2014): 107-113. [link]
4. Zhong Chen, Shengwu Xiong, Zhixiang Fang, Ruiling Zhang, Xiangzhen Kong, and Yi Rong. "Topologically ordered feature extraction based on sparse group restricted Boltzmann machines." Mathematical Problems in Engineering 2015 (2015): 1-12. [link]
5. Zhong Chen, Shengwu Xiong, Qingzhou Mao, Zhixiang Fang, and Xiaohan Yu. "An improved saliency detection approach for Flying Apsaras in the Dunhuang Grotto Murals, China." Advances in Multimedia 2015 (2015): 1-11. [link]
6. Ruiling Zhang, Shengwu Xiong, and Zhong Chen. "Construction method of concept lattice based on improved variable precision rough set." Neurocomputing 188 (2016): 326-338. [link]
7. Zhong Chen, Andrea Edwards, Yongsheng Gao, and Kun Zhang. "Learning discriminative facial subregions and pattern orders for facial gender classification." Image and Vision Computing 89 (2019): 144-157. [link]
8. Zhong Chen, Andrea Edwards, Chindo Hicks, and Kun Zhang. "Inferring personalized and race-specific causal effects of genomic aberrations on Gleason scores: A deep latent variable model." Frontiers in Oncology 10 (2020): 272. [link]
9. Zhong Chen, Zhide Fang, Victor Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, and Kun Zhang. "Adaptive robust local online density estimation for streaming data." International Journal of Machine Learning and Cybernetics 12 (2021): 1803–1824. [link]
10. Zhong Chen, Wensheng Zhang, Hongwen Deng, and Kun Zhang. "Effective cancer subtype and stage prediction via Dropfeature-DNNs." IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021). [link]
11. You Lu, Ming Li, Gi Young Lee, Na Zhao, Zhong Chen, Andrea Edwards, and Kun Zhang. "Seeking the Exclusive Binding Region of Phenylalkylamine Derivatives on Human T-type Calcium Channels via Homology Modeling and Molecular Dynamics Simulation Approach." Pharmacology Research & Perspectives 9 (2021). (link)
12. Zhong Chen, Bo Cao, Andrea Edwards, Hongwen Deng, and Kun Zhang. "A Deep Imputation and Inference Framework for Estimating Personalized and Race-Specific Causal Effects of Genomic Alterations on PSA." Journal of Bioinformatics and Computational Biology (2021). (link)
Conference Papers
1. Pengfei Duan, Haohao Zhang, Shengwu Xiong, Siqin Zhou, Zhong Chen, and Pengcheng Yang. "Personalized route planning system based on wardrop equilibrium model for campus evacuation." In Proceedings of the IEEE International Symposium on Dependable Computing and Internet of Things (DCIT'15), pp. 101-105. IEEE, 2015. [link]
2. Ruiling Zhang, Shengwu Xiong, and Zhong Chen. "An ontology-based approach for measuring semantic similarity between words." In Proceedings of the International Conference on Intelligent Computing (ICIC'15), pp. 510-516. Springer, Cham, 2015. [link]
3. Zhong Chen, Zhide Fang, Wei Fan, Andrea Edwards, and Kun Zhang. "CSTG: An effective framework for cost-sensitive sparse online learning." In Proceedings of the 2017 SIAM International Conference on Data Mining (SDM'17), pp. 759-767. Society for Industrial and Applied Mathematics, 2017. (Regular Paper with Accept Rate 93/358=26.0%) [link]
4. Zhong Chen, Zhide Fang, Jiabin Zhao, Wei Fan, Andrea Edwards, and Kun Zhang. "Online density estimation over streaming data: A local adaptive solution." In Proceedings of the 2018 IEEE International Conference on Big Data (IEEE Big Data'18), pp. 201-210. IEEE, 2018. (Regular Paper with Accept Rate 98/518=19.7%) [link]
5. Zhong Chen, Andrea Edwards, and Kun Zhang. "Fusion Lasso and its applications to cancer subtype and stage prediction." In Proceedings of the 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB'20), pp. 1-8, 2020. (Short Paper with Accept Rate 17/130=13.1%) [link]
