Bin Li   

     Machine Learning Research Group (MLRG)
     National ICT Australia
(NICTA)
     
Level 5, 13 Garden St, Eveleigh NSW 2015

     Email: libin82cn [AT] gmail [DOT] com 

 
News

    [NEW] Short Course at UTS "Recommender Systems: An Introduction" [link]
    [NEW] Short Course at KAUST "Recommender Systems: From Real-world Systems to State-of-the-Art Technologies" [link]
    [NEW] A Survey on "Instance Selection for Active Learning" is available online [link]
    [NEW] A Brief Survey on "Cross-Domain Collaborative Filtering" is available online [paper]
 

Biography

I'm a Researcher at National ICT Australia (NICTA). Prior to this, I was a Lecturer at University of Technology, Sydney (UTS). I received my PhD degree in Computer Science from Fudan University in 2009. My research interests include machine learning and its applications to recommender systems and big data analytics. I'm a pioneer in the following research topics: 
  • Big Structured Data Hashing: ICDM-12, PAKDD-13, SDM-14, etc.
  • Cross-Domain Collaborative Filtering: IJCAI-09, ICML-09, IJCAI-11, ICTAI-11, WWWJ-13, etc.
 

Selected Publications (full list at Google Citations)

  Conference Papers
  • Lianhua Chi, Bin Li, Xingquan Zhu, Context-Preserving Hashing for Fast Text ClassificationProc of the 14th SIAM Int'l Conf on Data Mining (SDM 2014), pp:100-108. [paper]
  • Lianhua Chi, Bin Li, Xingquan Zhu, Fast Graph Stream Classification Using Discriminative Clique Hashing, Proc of the 17th Pacific-Asia Conf on Knowledge Discovery and Data Mining (PAKDD 2013), pp:225-236. [paper] Best Paper Award
  • Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang, Nested Subtree Hash Kernels for Large-scale Graph Classification over Streams, Proc of the 12th IEEE Int'l Conf on Data Mining (ICDM 2012), pp:399-408. [paper][data][code]
  • Ruijiang Li, Bin Li, Ke Zhang, Cheng Jin, Xiangyang Xue, Groupwise Constrained Reconstruction for Subspace Clustering, Proc of the 29th Int'l Conf on Machine Learning (ICML 2012), pp:377-384. [paper]
  • Bin Li, Cross-Domain Collaborative Filtering: A Brief Survey, Proc of the 23rd IEEE Int'l Conf on Tools with Artificial Intelligence (ICTAI 2011), pp:1085-1086. [paper]
  • Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue, Xingquan Zhu, Tracking User-Preference Varying Speed in Collaborative Filtering, Proc of the 25th AAAI Conf on Artificial Intelligence (AAAI 2011), pp:133-138. [paper]
  • Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu, Cross-Domain Collaborative Filtering over TimeProc of the 22nd Int'l Joint Conf on Artificial Intelligence (IJCAI 2011), pp:2293-2298. [paper][code]
  • Bin Li, Qiang Yang, Xiangyang Xue, Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model, Proc of the 26th Int'l Conf on Machine Learning (ICML 2009), pp:617-624. [paper][code][video]
  • Bin Li, Qiang Yang, Xiangyang Xue, Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction, Proc of the 21st Int'l Joint Conf on Artificial Intelligence (IJCAI 2009), pp:2052-2057. [paper]
  • Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue, Support Cluster Machine, Proc of the 24th Int'l Conf on Machine Learning (ICML 2007), pp:505-512. [paper][demo][video]

  Journal Papers

  • Daqing Zhang, Lin Sun, Bin Li, Chao Chen, Gang Pan, Shijian Li, Zhaohui Wu, Understanding Taxi Service Strategies from Taxi GPS Traces, IEEE Transactions on Intelligent Transportation Systems, accepted.
  • Yifan Fu, Bin LiXingquan Zhu, Chengqi Zhang, Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query ApproachIEEE Transactions on Knowledge and Data Engineering, 26(4):808-822, 2014. [link]
  • Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang, Noisy but Non-malicious User Detection in Social Recommender Systems, World Wide Web, 16(5-6):677-699, 2013. [link][code]
  • Yifan Fu, Xingquan Zhu, Bin Li, A Survey on Instance Selection for Active Learning, Knowledge and Information Systems, 35(2):249-283, 2013. [link]
  • Xingquan Zhu, Bin Li, Xindong Wu, Dan He, Chengqi Zhang, CLAP: Collaborative Pattern Mining for Distributed Information Systems, Decision Support Systems, 52(1):40-51, 2011. [link]
  • Shile Zhang, Bin Li, Xiangyang Xue, Semi-Automatic Dynamic Auxiliary-Tag-Aided Image Annotation, Pattern Recognition, 43(2):470-477, 2010. [link]
  • Bin Li, Xiangyang Xue, Jianping Fan, A Robust Incremental Learning Framework for Accurate Skin Region Segmentation in Color Images, Pattern Recognition, 40(12):3621-3632, 2007. [paper][demo]
  Workshop Papers
  • Bin Li, Daqing Zhang, Lin Sun, Chao Chen, Shijian Li, Guande Qi, Qiang Yang, Hunting or Waiting? Discovering Passenger-Finding Strategies from a Large-scale Real-world Taxi Dataset, in Proc of IEEE PerCom Workshops 2011, pp:63-68. [paper] Featured in IEEE Spectrum [link]
 

Professional Activities

  Co-Organizer & PC Member
    - Workshop Co-Organizer: ICDM-11 Workshop on Mining Multiple Information Sources (MMIS-11)
    - Special Session Co-Chair: The 23rd IEEE Int'l Conf on Tools with Artificial Intelligence (ICTAI-11)
    - Publicity Co-Chair: The 11th Int’l Conf on Machine Learning and Applications (ICMLA-12)
    - Publicity Co-Chair: The 23rd IEEE Int'l Conf on Tools with Artificial Intelligence (ICTAI-11)
    - PC Member: ACM Conf on Information and Knowledge Management (CIKM): 2011
    - PC Member: IEEE Int'l Conf on Tools with Artificial Intelligence (ICTAI): 2011~2014
 
  Journal Reviewer
    - ACM Transactions on Intelligent Systems and Technology (TIST)
    - (Elsevier) Knowledge-Based Systems
    - (Elsevier) Neurocomputing
    - (Elsevier) Signal Processing
    - IEEE Transactions on Knowledge and Data Engineering (TKDE)
    - (Springer) Frontiers of Computer Science in China
    - (Springer) Pattern Analysis and Applications
    - (Springer) Social Network Analysis and Mining
    - (Springer) World Wide Web
 

Last update: 17-04-2013