廖清(Qing Liao)
副教授(Associate Professor)
哈尔滨工业大学(深圳)
Harbin Institute of Technology, Shenzhen
地址: 深圳西丽大学城哈工大校区信息楼1705室
个人主页:www.liaoqing.me
Email: liaoqing@hit.edu.cn
Phone: 18682212660
基本信息
廖清,副教授,毕业于香港科技大学,深圳市海外高层次人才,校级“青年拔尖人才”。廖清的研究领域包括数据挖掘及人工智能,在国际期刊会议发表论文40余篇,其中SCI论文13篇,JCR 1/2区论文10篇,CCF类论文17篇,包括NIPS, IEEE ICDM, IEEE ICASSP, Signal Processing, IEEE TMC 等国际顶级会议和期刊。与此同时,廖清还是多个著名国际会议及期刊的分会主席、技术委员及评委,其中包括IEEE ICDM,IEEECIKM,DASFAA,IEEE TKDE等。 廖清当前主持国家自然科学基金1项,深圳市自由探索1项,并以哈工大负责人身份承担自然科学联合基金1项、国家重点研发计划共1项,深圳市学科布局2项。
研究方向
数据挖掘、人工智能、信息安全、生物信息
欢迎对本小组研究方向感兴趣的同学报考研究生,具体要求:勤奋踏实,有较强的编程、数学、英语能力,以及较为独立的思考能力,面试合格学生可提前进入课题组实习,中心负责学生住宿。
学术活动&获奖
DASFAA (CCF B)会议TPC委员, 2020
IEEE ICDM (CCF B)会议分会主席 2019, TPC 委员 2018-2020
IEEE CIKM (CCF B) 会议分会主席, 2019
IEEE ICPADS (CCF C)会议TPC委员,2018
指导硕士生获2019 IEEE DSC 最佳学生论文
指导本科生获 第四届全国人工智能创新创业大赛,创新组一等奖
指导本科生获2018全国绿色计算机大赛开源标注组二等奖(190多支参赛队伍)
指导本科生获2018全国绿色计算机大赛项目挑战组三等奖(500多支参赛队伍)
担任人工智能,数据挖掘顶级期刊审稿人: IEEE TNNLS (IF 11.68)、IEEE TKDE(IF 3.85)等
承担项目
当前主持并承担国家、省市科研项目共6项。
授课
哈工大(深圳)主讲:Technology and Application of Big Data, 2017-至今
哈工大(深圳)主讲:软件工程, 2018-至今
哈工大(深圳)主讲:人工智能技术及应用实战创新研修课, 2019-至今
哈工大(深圳)主讲:论文写作与指导, 2020-至今
近5年部分发表刊物(一作或通信)
1. [SCI, IF 1.77, CCF B] DP-FL: a novel differentially private federated learning framework for the unbalanced data
Xixi Huang, Ye Ding, Zoe L. Jiang, Shuhan Qi, Xuan Wang and Qing Liao
The World Wide Web Journal, 2020
2. [SCI, IF 4.07] Multi-task deep convolutional neural network for cancer diagnosis.
Qing Liao, Ye Ding, Zoe L. Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang
Neurocomputing 348: 66-73 (2019)
3. [SCI, IF 9.10] A comprehensive review and evaluation of computational methods for identifying protein complexes from protein–protein interaction networks.
Zhourun Wu, Qing Liao, Bin Liu
Briefings in Bioinformatics, 2019
4. [SCI, IF 1.396] Diverse Mobile System for Location-Based Mobile Data.
Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding
Wireless Communications and Mobile Computing 2018: 4217432:1-4217432:17 (2018)
5. [SCI, IF 4.09] iRBP-Motif-PSSM: Identification of RNA-Binding Proteins Based on Collaborative Learning
X Gao, D Wang, J Zhang, Qing Liao, B Liu
IEEE Access 7, 168956-168962,2019
6. [SCI, IF 4.09] iEsGene-ZCPseKNC: Identify Essential Genes Based on Z Curve Pseudo -Tuple Nucleotide Composition
J Chen, Y Liu, Qing Liao, B Liu
IEEE Access 7, 165241-165247,2019
7. [SCI, IF 4.73] Local coordinate based graph-regularized NMF for image representation.
Qing Liao, Qian Zhang
Signal Processing 124: 103-114 (2016)
8. [EI, CCF C] Multi-depth Graph Convolutional Networks for Fake News Detection
G Hu, Y Ding, S Qi, X Wang, Qing Liao
CCF International Conference on Natural Language Processing and Chinese(NLPCC), 2019
9. [EI, CCF C] Predicting unknown interactions between known drugs and targets via matrix completion
Qing Liao, N Guan, C Wu, Q Zhang
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 591-604,2016
10. [EI, CCF B] Gauss-Seidel based non-negative matrix factorization for gene expression clustering
Qing Liao, N Guan, Q Zhangg
IEEE International Conference on Acoustics, Speech and Signal (ICASSP),2016
11. [EI, CCF B] Logdet divergence based sparse non-negative matrix factorization for stable representation
Qing Liao, N Guan, Q Zhang
IEEE International Conference on Data Mining (ICDM), 871-876, 2015
12. [EI, CCF C] Robust Local Coordinate Non-negative Matrix Factorization via Maximum Correntropy Criteria.
Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2204-2209, 2015