个人简介
刘诚，2018年7月博士毕业于香港城市大学；现为汕头大学工学院计算机系，讲师（入选汕头大学卓越人才计划：优秀青年人才）。主要研究方向为机器学习和生物信息学，在IEEE Transactions on Neural Networks and Learning Systems，IEEE Transactions on Cybernetic,IEEE/ACM Transactions on Computational Biology and Bioinformatics.Pattern Recognition等计算机重要期刊以第一作者发表多篇。
主要论文：
期刊论文：
[1] Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang: The L1/2 regularization method for variable selection in the Cox model. Applied Soft Computing. 14: 498-503 (2014) [ASOC] [中科院计算机科学1区/工程技术2区]
[2] Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu and Hau-San Wong: Encoding Sparse and Competitive Structures among Tasks in Multi-Task Learning. Pattern Recognition 88: 689-701 (2019).[CCF B][中科院计算机科学1区/工程技术2区]
[3] Cheng Liu, Hau-San Wong: Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics PP.99 (2017) [IEEE TCBB] [CCF B]
[4] Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong: Multi-task feature selection by graphclustered feature sharing. IEEE Transactions on Cybernetics 50(1): 74-86 (2020) [IEEE TCYB][CCF B] [中科院1区]
[5] Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong: Asymmetric Graph-Guided Multi-Task Survival Analysis with Self-Paced Learning. IEEE Transactions on Neural Networks and Learning Systems (Accepted) [IEEE TNNLS] [CCF B] [中科院1区]
[6] Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong: Supervised graph clustering for cancer subtyping based on survival analysis and integration of multi-omic tumor data. IEEE/ACM Transactions on Computational Biology and Bioinformatics (Accepted) [IEEE TCBB] [CCF B]
[7] Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong: Joint Subspace and Discriminative Learning for Self-Paced Domain Adaptation. Knowledge Based System (Accepted) [KBS] [CCF C] [中科院计算机科学1区/工程技术2区]
[8] Cheng Liu, Wenming Cao, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong: Adaptive Graph-Guided Co-Regularization for Clustered Multi-Task Learning. (submit to Pattern Recognition)
[9]Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu,Cheng Liu, Zhiwen Yu, Hau-San Wong: Semisupervised Multiple Choice Learning for Ensemble Classifification. IEEE Transactions on Cybernetics (Accepted) [IEEE TCYB] [CCF B] [中科院1区](共同通讯作者).
[10] Yong Liang,Cheng Liu, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang: Sparse logistic regression with a L1/2 penalty for gene selection in cancer classi?cation. BMC Bioinformatics 14: 198 (2013) [CCF C] [中科院3区]
[11] Chutao Zheng,Cheng Liu, Hau-San Wong: Corpus-based topic di?usion for short text clustering. Neurocomputing 275: 2444-2458 (2018) [CCF C] [中科院2区]
[12] Sheng Qian, Hua Liu,Cheng Liu, Si Wu, Hau-San Wong: Adaptive activation functions in convolutional neural networks. Neurocomputing 272: 204-212 (2018) [CCF C] [中科院2区]
[13] Jichang Li, Si Wu,Cheng Liu, Zhiwen Yu, Hau-San Wong: Semi-Supervised Deep Coupled Ensemble Learning With Classi?cation Landmark Exploration. IEEE Transaction. Image Processing 29: 538-550 (2020) [IEEE TIP] [CCF A] [中科院1区]
[14] Si Wu, Shufeng Wang, Robert Laganiere,Cheng Liu, Hau-San Wong, Yong Xu: Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE Transaction. Image Processing 27(3): 1418-1432 (2018) [IEEE TIP] [CCF A] [中科院1区]
[15] Xin-Ze Luan, Yong Liang,Cheng Liu, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang: A novel L1/2 regularization shooting method for Cox’s proportional hazards model. Soft Comput. 18(1): 143-152 (2014) [中科院3区]
会议论文:
[1] Cheng Liu, Wen-Ming Cao, Chutao Zheng, Hau-San Wong: Learning With Partially Shared Features in Multi-Task Learning. The 24th International Conference on Neural Information Processing ICONIP (5) 2017: 95-104（CCF C）
[12] Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang: Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. ICSI (2) 2012: 11-17
[3] Chutao Zheng,Cheng Liu, Hau-San Wong: Iterative Term Weighting for Short Text Data. IEEE International Conference on Systems, Man, and Cybernetics. IEEE, 2015:1687-1692. (Nominee of Best Paper Award)（CCF C）
[4] Si Wu, Jichang Li,Cheng Liu, Zhiwen Yu, Hau-San Wong: Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classi?cation. CVPR 2019: 6500-6509（CCF A）
[5] Sheng Qian, Guanyue Li, Wen-Ming Cao,Cheng Liu, Si Wu, Hau-San Wong: Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. IJCAI 2019: 3268-3274（CCF A）
[6] Xin-Ze Luan, Yong Liang,Cheng Liu, Zongben Xu, Hai Zhang, Kwong-Sak Leung, Tak-Ming Chan: Regularization Path for Linear Model via Net Method. ICSI (2) 2012: 414-421