Bin Li   

     Researcher: Machine Learning Group, National ICT Australia (NICTA)

     Visiting Fellow: QCIS Centre, University of Technology Sydney (UTS)

     Email: libin82cn [AT] gmail [DOT] com 


[NEW] Our team won NICTA's 2014 Impact Award: Wealth Creation - Water Pipes [link]
[NEW] Slides on "Recursive Hashing: Approximating Similarities of Structured Data" is available online [slides]
[NEW] A survey on "Instance Selection for Active Learning" is available online [link]
[NEW] A poster of my work on "Cross-Domain Collaborative Filtering" is available online [poster]
[NEW] A brief survey on "Cross-Domain Collaborative Filtering" is available online [paper]


I'm a researcher at NICTA. Prior to this, I was a lecturer at University of Technology Sydney and a research fellow at Institut TELECOM SudParis. I received my PhD degree in computer science from Fudan University in 2009. My current research interests include stochastic processes and randomized algorithms in machine learning. I'm particularly interested in two research topics: (1) Graph function estimation [IJCAI-09, ICML-09, IJCAI-11, ICML-15, etc] and (2) Structured data hashing [ICDM-12, PAKDD-13, SDM-14, etc]. My daily work is mainly about data analytics in SmartCity projects. 

Research Publications [full list] *co-supervised students

  Selected Conference Papers
  • Yi Wang*, Bin Li, Yang Wang, Fang Chen, Metadata Dependent Mondrian Processes, Proceedings of the 32nd Int'l Conference on Machine Learning (ICML 2015), pp:1339-1347. [paper]
  • Lianhua Chi*, Bin Li, Xingquan Zhu, Context-Preserving Hashing for Fast Text ClassificationProceedings of the 14th SIAM Int'l Conference on Data Mining (SDM 2014), pp:100-108. [paper]
  • Bin Li, Xingquan Zhu, Lianhua Chi*, Chengqi Zhang, Nested Subtree Hash Kernels for Large-scale Graph Classification over Streams, Proceedings of the 12th IEEE Int'l Conference 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, Proceedings of the 29th Int'l Conference on Machine Learning (ICML 2012), pp:377-384. [paper]
  • Ruijiang Li*, Bin Li, Cheng Jin, Xiangyang Xue, Xingquan Zhu, Tracking User-Preference Varying Speed in Collaborative Filtering, Proceedings of the 25th AAAI Conference 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 TimeProceedings of the 22nd Int'l Joint Conference 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, Proceedings of the 26th Int'l Conference 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, Proceedings of the 21st Int'l Joint Conference on Artificial Intelligence (IJCAI 2009), pp:2052-2057. [paper]
  • Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue, Support Cluster Machine, Proceedings of the 24th Int'l Conference on Machine Learning (ICML 2007), pp:505-512. [paper][demo][video]

  Selected Journal Papers

  • Bin Li, Xingquan Zhu, Ruijiang Li*, Chengqi Zhang, Rating Knowledge Sharing in Cross-Domain Collaborative FilteringIEEE Trans. on Cybernetics, 45(5):1054-1068, 2015. [link]
  • Yifan Fu*, Bin LiXingquan Zhu, Chengqi Zhang, Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query ApproachIEEE Trans. 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]

SmartCity Publications (Infrastructure, Transportation, & Social Media)

  • Bin Li, Bang Zhang, Zhidong Li, Yang Wang, Fang Chen, Dammika Vitanage, Prioritising Water Pipes for Condition Assessment with Data Analytics, OzWater, 2015. [link]
  • Bin Li, Yang Wang, Fang Chen, Yi Wang, Group Infrastructure ComponentsPatent Application (AU2015900215). [link]
  • Daqing Zhang, Lin Sun, Bin Li, Chao Chen, Gang Pan, Shijian Li, Zhaohui Wu, Understanding Taxi Service Strategies from Taxi GPS TracesIEEE Trans. on Intelligent Transportation Systems, 16(1):123-135, 2015. [link]
  • Lin Sun, Daqing Zhang, Bin LiTaxi Customer Seeking Strategy Selection Method based on GPS Track, Patent Application (CN201310564651). [link]
  • 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]
  • Bin Li, Xiangyang XueA Method for Skin-Region Segmentation in Color Images and Videos, Patent Granted (CN200510027078). [linkAssociated software registration [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: ICTAI'11, ICMLA'12, BIBE'14
  - PC Member: CIKM'11, ICTAI'11~15, AAAI'15, MM'15
  Journal Reviewer
  - (ACM) TIST
  - (Elsevier) KBS, Neurocomputing, Signal Processing
  - (Springer) SNAM, WWWJ

Tutorials & Talks

  - Seminar @NICTA: Recursive Hashing: Approximating Similarities of Structured Data [slides]
  - Short Course @UTS: Recommender Systems: An Introduction [link]
  - Short Course @KAUST: Recommender Systems: From Real-world Systems to State-of-the-Art Technologies [link]

Awards & Grants

  - [Best Paper Award] The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-13) [link]
  - [Research Grant] UTS Early Career Researcher Grant (Sole Investigator), AU$24,098, 2012~2013.
  - [Thesis Award Nomination] China Computer Federation (CCF) Distinguished PhD Thesis Award 2009 (rank 11) [link]

Last update: 17-04-2015