Full Publications:

Journal:

  1. (SCI, JCR-Q2, IF 1.899) Diverse Mobile System for Location-based Mobile Data
    Wireless Communications & Mobile Computing, Research Article (17 pages), Article ID 4217432, Volume (2018)
    Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding
  2. (SCI, JCR-Q1, IF 3.317) Multi-task Deep Convolutional Neural Network for Cancer Diagnosis
    Neurocomputing, Volume xxx,Page xxx, 2018
    Qing Liao, Ye Ding, Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang
  3. 基于JSON的RSA-PKCS#1加密算法的安全性研究
    《信息技术与网络安全》, 第一期, 2018
    Lin Jiang, Qing Liao, Xuan Wang
  4. (SCI, JCR-Q1, IF 3.11) Local Coordinate Based Graph-Regularized NMF for Image Representation
    Elsevier Signal Processing, Volume 124,Page 103-114, 2016
    Qing Liao, Xuan Wang
  5. (SCI, JCR-Q1, IF 4.951) COD: A Cooperative Cell Outage Detection Architecture for Self-Organizing Femtocell Networks
    IEEE Transactions on Wireless Communications (TWC), Volume 13, No.11, 2014
    Wei Wang, Qing Liao, Qian Zhang

Conference:

  1. (EI) Cancer Classification with Multi-task Deep Learning (Slide)
    IEEE International Conference on Security, Pattern Analysis, and Cybernetics (ICSPAC), 2017, Shenzhen, China
    Qing Liao, Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding
  2. (EI) Online Discriminant Projective Non-negative Matrix Factorization
    IEEE International Conference on Security, Pattern Analysis, and Cybernetics (ICSPAC), 2017, Shenzhen, China
    Xiang Zhang, Qing Liao, Zhigang Luo
  3. (EI) A Novel Privacy-preserving Distributed Anomaly Detection Method
    IEEE International Conference on Security, Pattern Analysis, and Cybernetics (ICSPAC), 2017, Shenzhen, China
    Chunkai Zhang, Haodong Liu, Ye Li, Ao Yin, Zoe L Jiang, Qing Liao and Xuan Wang
  4. (EI) EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-sampling
    IEEE International Conference on Security, Pattern Analysis, and Cybernetics (ICSPAC), 2017, Shenzhen, China
    Chunkai Zhang, Jianwei Guo, Changqing Qi, Zoe L Jiang, Qing Liao, Lin Yao and Xuan Wang
  5. (EI) Mining Inter-Transaction Association Rules from Multiple Time-Series Data
    IEEE International Conference on Security, Pattern Analysis, and Cybernetics (ICSPAC), 2017, Shenzhen, China
    Chunkai Zhang, Xudong Zhang, Zoe L Jiang, Qing Liao, Lin Yao and Xuan Wang
  6. (EI) Feature Selection For High Demensional Imbalanced Class Data Based on F-Measure Optimization
    IEEE International Conference on Security, Pattern Analysis, and Cybernetics (ICSPAC), 2017, Shenzhen, China
    Chunkai Zhang, Guoquan Wang, Ying Zhou, Lin Yao, Zoe L Jiang, Qing Liao and Xuan Wang
  7. (EI) Outsourced Privacy-Preserving C4.5 Algorithm over Arbitrarily Partitioned Databases
    IEEE International Conference on Data Science in Cyberspace (DSC),2017, Shenzhen, China
    Ye Li, Zoe L Jiang, Xuan Wang, Sm Yiu, Qing Liao
  8. (CCF C, EI) Gauss-seidel Based Non-negative Matrix Factorization for Gene Experession Clustering (Slide)
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, Shanghai, China
    Qing Liao, Naiyang Guan, Qian Zhang
  9. (CCF C, EI) Predicting Unknown Interactions between Known Drugs and Targets via Matrix Completion
    Pacific Asia Knowledge Discovery and Data Mining Conference (PAKDD), 2016, Auckland, New Zealand
    Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang, Zhigang Luo
    - Datasets : Include Enzyme, GPCR, Ion Channel, and Nuclear Receptors datasets. Thanks to Yoshihiro Yamanishi for collecting and organizing the datasets. Also available here.
    - Source Code : Our method source code.
    - Tools : An useful tool for finding drug-target interaction in DrugBank and KEGG.
    - Supplementary material : Validated New Pairs in DrugBank and KEGG Databases.
  10. (CCF B, EI) Logdet Divergence Based Sparse Non-negative Matrix Factorization for Stable Representation (Slide)
    IEEE International Conference on Data Mining (ICDM), 2015, Atlantic City, USA
    Qing Liao, Naiyang Guan, Qian Zhang
  11. (EI) Robust Local Coordinate Non-negative Matrix Factorization via Maximum Correntropy Criteria
    IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2015, Hong Kong
    Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang
  12. (EI) Local Coordinate Projective Non-negative Matrix Factorization
    IEEE International Conference on Machine Learning and Applications (ICMLA) Poster, 2015, Florida, USA
    Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang
  13. (CCF C, EI) TiSA: Time-Dependent Social Network Advertising
    IEEE International Conference on Communications (ICC), 2015, London, UK
    Wei Wang, Linlin Yang, Qing Liao, Xiang Zhu, Qian Zhang
  14. (CCF C, EI) Analyzing the Influential People in Sina Weibo Dataset
    IEEE Global Communications Conference, Exhibition & Industry Forum (GLOBECOM), 2013, Atlanta, USA
    Qing Liao, Wei Wang, Yi Han, Qian Zhang
  15. (CCF B, EI) Effcient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization (Slide)
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2013, Prague, Czech Republic
    Qing Liao, Qian Zhang
  16. Reasonably Integrating Data for Predicting Drug Toxicity by Machine Learning
    International Conference on Critical Assessment of Massive Data Analysis (CAMDA), 2013
    Naiyang Guan, Zhilong Jia, Xiang Zhang, Bin Luo, Bin Mao, Qing Liao, Zhigang Luo

(C) 2013-2018 Qing Liao @ Harbin Institute of Technology, Shenzhen