Full Publications:

Journal:

  1. (SCI, JCR-Q1, IF 3.317) Multi-task Deep Convolutional Neural Network for Cancer Diagnosis
    Neurocomputing, Volume 348,Page 66-73, 2019
    Qing Liao, Ye Ding, Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang
  2. (SCI, JCR-Q1, IF 3.577) Another Robust NMF Rethinking the Hyperbolic Tangent Function and Locality Constraint
    IEEE Access, Volume 7,Page 31089-31102, 2019
    XingYu Shen, Xiang Zhang, Long Lan, Qing Liao, Zhigang Luo
  3. (SCI, JCR-Q1, IF 2.918) HashEclat: an efficient frequent itemset algorithm
    International Journal of Machine Learning and Cybernetics, Page 1-14, 2019
    Chunkai Zhang, Panbo Tian, Xudong Zhang, Qing Liao, Zoe L. Jiang, Xuan Wang
  4. (SCI, JCR-Q3, IF 1.896) Self-supervised learning-based weight adaptive hashing for fast cross-modal retrieval
    International Journal of Machine Learning and Cybernetics, Page 1-14, 2019
    Yifan Li, Xuan Wang, Shuhan Qi, Chengkai Huang, Zoe L Jiang, Qing Liao, Jian Guan, Jiajia Zhang
  5. (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
  6. 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
  7. (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, Qian Zhang
  8. (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, CCF C) Multi-Depth Graph Convolutional Networks for Fake News Detection
    The 8th CCF Conference on Natural Language Processing and Chinese Computing(NLPCC), 2019, DunHuang, China
    Guoyong Hu, Ye Ding, Shuhan Qi, Xuan Wang and Qing Liao*
  2. (EI) Differentially Private Convolutional Neural Networks with Adaptive Gradient Descent (Best Student Paper)
    IEEE International Conference on Data Science in Cyberspace(IEEE DSC), Best Student Paper, 2019, Hangzhou, China
    Xixi Huang, Jian Guan, Bin Zhang, Shuhan Qi, Xuan Wang, Qing Liao*
  3. (EI) Structural-Based Graph Publishing Under Differential Privacy
    International Conference on Cognitive Computing(IEEE ICCC), 2019, San Diego, USA
    Yiping Yin, Qing Liao,Yang Liu, Ruifeng Xu
  4. (EI) Learning Contextual Features with Multi-head Self-attention for Fake News Detection
    International Conference on Cognitive Computing(ICCC), 2019, San Diego, USA
    Yangqian Wang, Hao Han, Ye Ding, Xuan Wang, Qing Liao*
  5. (EI) Protein Remote Homology Detection based on Profiles
    International Work-Conference on Bioinformatics and Biomedical Engineering, 2019, Granada, Spain
    Qing Liao, Mingyue Guo, Bin Liu
  6. (EI) NotOnlyLog: Mining Patch-Log Associations from Software Evolution History to Enhance Failure Diagnosis Capability
    25th Asia-Pacific Software Engineering Conference (APSEC), 2018, Nara, Japan
    Shuqi Chi, Shanshan Li, Yong Guo, Wei Dong, Zhouyang Jia, Haochen He,Qing Liao
  7. (EI) File Fragment Classification Using Grayscale Image Conversion and Deep Learning in Digital Forensics
    2018 IEEE Security and Privacy Workshops, 2018, San Francisco, USA
    Qian Chen, Qing Liao, Zoe L Jiang, Junbin Fang, Siuming Yiu, Guikai Xi, Rong Li, Zhengzhong Yi, Xuan Wang, Lucas CK Hui, Dong Liu, En Zhang
  8. (EI) MisconfDoctor: Diagnosing Misconfiguration via Log-Based Configuration Testing
    2018 IEEE Security and Privacy Workshops, 2018, Lisbon, Portugal
    Teng Wang, Xiaodong Liu, Shanshan Li, Xiangke Liao, Wang Li, Qing Liao
  9. (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
  10. (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
  11. (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
  12. (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
  13. (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
  14. (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
  15. (EI) Outsourced Privacy-Preserving C4.5 Algorithm over Arbitrarily Partitioned Databases
    IEEE International Conference on Data Science in Cyberspace (ICDSC),2017, Shenzhen, China
    Ye Li, Zoe L Jiang, Xuan Wang, Sm Yiu, Qing Liao
  16. (CCF B, 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
  17. (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.
  18. (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
  19. (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
  20. (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
  21. (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
  22. (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
  23. (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
  24. 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