Bin Li   

     Associate Professor(青年研究员、博导)

     School of Computer Science, Fudan University

     Email: libin [AT] fudan [DOT] edu [DOT] cn 

 
Highlights

😊 长期招收有志于做研究的本科、直研、直博生,欢迎在数学、编程、视觉艺术等方面有特长的同学联系我
😊 Some generative artworks produced by myself (updated on 19/03/2018) [album]
😊 Slides of "Recursive Hashing: Approximating Similarities of Structured Data" [slides]
😊 A poster of my previous work on "Cross-Domain Collaborative Filtering" [poster]
😊 A brief survey on "Cross-Domain Collaborative Filtering" [paper]
 

Bio

I'm an associate professor of computer science at Fudan University since Nov 2017.  Prior to this, I was a senior research scientist of machine learning at Data61 (formerly NICTA), CSIRO and a lecturer at University of Technology Sydney (UTS). I received my PhD degree in computer science from Fudan University in 2009. My current research interests lie in machine learning, AI and cognitive science, particularly in complex data (high-dimensional, structured, streaming, etc.) representation, modeling and inference.
 

Selected Research Publications [full list][Google Scholar] *under my (co-)supervision

Conference Papers
  1. Wei Wu*, Bin Li, Ling Chen, Chengqi Zhang, Efficient Attributed Network Embedding via Recursive Randomized Hashing, Proc. of the 27th Int'l Joint Conf. on Artificial Intelligence (IJCAI 2018), accepted.
  2. Xuhui Fan*, Bin LiScott A. Sisson, The Binary Space Partitioning-Tree ProcessProc. of the 21st Int'l Conf. on Artificial Intelligence and Statistics (AISTATS 2018), pp:1859-1867. [paper][link]
  3. Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudré-Mauroux, HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept DriftProc. of the 17th IEEE Int'l Conf. on Data Mining (ICDM 2017), pp:545-554. [paper]
  4. Ling Luo*, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen, Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process, Proc. of the 26th Int’l Joint Conf. on Artificial Intelligence (IJCAI 2017), pp:2414-2420. [paper][news
  5. Wei Wu*, Bin Li, Ling Chen, Chengqi Zhang, Consistent Weighted Sampling Made More Practical, Proc. of the 26th Int’l Conf. on World Wide Web (WWW 2017), pp:1035-1043. [paper]
  6. Dingqi Yang, Bin LiPhilippe Cudré-Mauroux, POIsketch: Semantic Place Labeling over User Activity StreamsProc. of the 25th Int'l Joint Conf. on Artificial Intelligence (IJCAI 2016), pp:2697-2703. [paper]
  7. Yi Wang*, Bin Li, Xuhui Fan*, Yang Wang, Fang Chen, Bayesian Optimization of Partition Layouts for Mondrian ProcessesProc. of the 25th Int'l Joint Conf. on Artificial Intelligence (IJCAI 2016), pp:2160-2166. [paper]
  8. Xuhui Fan*, Bin Li, Yi Wang*, Yang Wang, Fang Chen, The Ostomachion Process, Proc. of the 30th AAAI Conf. on Artificial Intelligence (AAAI 2016), pp:1547-1553. [paper]
  9. Yi Wang*, Bin Li, Yang Wang, Fang Chen, Metadata Dependent Mondrian Processes, Proc. of the 32nd Int'l Conf. on Machine Learning (ICML 2015), pp:1339-1347. [paper]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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

  1. Wei Wu*, Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang, $K$-Ary Tree Hashing for Fast Graph Classification, IEEE Trans. on Knowledge and Data Engineering, 30(5):936-949, 2018.
  2. Lianhua Chi*, Bin Li, Xingquan Zhu, Shirui Pan, Ling Chen, Hashing for Adaptive Real-time Graph Stream Classification with Concept Drifts, IEEE Trans. on Cybernetics, 48(5):1591-1604, 2018.
  3. Yi Wang*, Bin Li, Yang Wang, Fang Chen, Bang Zhang, Zhidong Li, Robust Bayesian Non-parametric Dictionary Learning with Heterogeneous Gaussian Noise, Computer Vision and Image Understanding, 150:31-43, 2016.
  4. Bin Li, Xingquan Zhu, Ruijiang Li*, Chengqi Zhang, Rating Knowledge Sharing in Cross-Domain Collaborative FilteringIEEE Trans. on Cybernetics, 45(5):1054-1068, 2015.
  5. 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.
  6. 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. [code]
  7. Shile Zhang, Bin Li, Xiangyang Xue, Semi-Automatic Dynamic Auxiliary-Tag-Aided Image Annotation, Pattern Recognition, 43(2):470-477, 2010.
  8. 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. [demo]
Industry/Product Related
  1. Bin Li, Xuhui Fan, Jianjia Zhang, Yang Wang, Fang Chen, Sarath Kodagoda, Tony Wells, Louisa Vorreiter, Dammika Vitanage, Gino Iori, Derek Cunningham, Tiffany Chen, Predictive Analytics Toolkit for H2S Estimation and Sewer Corrosion, Proc. of the Australia’s Int’l Water Conf. & Exhibition (OzWater), 2017. Featured in Water Journal [link]
  2. Ling Luo, Bin LiShlomo Berkovsky, Irena Koprinska, Fang Chen, Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program, Proc. of the 26th Int’l Conf. on World Wide Web Companion, 2017.
  3. Bin Li, Bang Zhang, Zhidong Li, Yang Wang, Fang Chen, David Zhang, Dammika Vitanage, Multi-level Data Analytics for Risk Water Pipe Selection,  IWA Leading-Edge Conference on Strategic Asset Management (LESAM), 2015.
  4. Bin Li, Yang Wang, Fang Chen, Yi Wang, Group Infrastructure ComponentsPatent Application (AU2015900215), filed on 27-01-2015. [link]
  5. Lin Sun, Daqing Zhang, Bin Li, A Method for Discovering Passenger-Finding Strategies based on GPS Traces, Chinese Patent (CN103544834B), granted on 16-03-2016. [link]
  6. 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, Proc. of IEEE PerCom Workshops, 2011. [paper] Featured in IEEE Spectrum [link]
  7. Bin Li, Xiangyang XueA Method for Skin-Region Segmentation in Color Images and Videos, Chinese Patent (CN100367294C), granted on 06-02-2008. [linkSoftware registration [link]


Professional Activities

(Co-)Organizers
  • [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
Journal Reviewers
  • (ACM) TIST
  • (Elsevier) KBS, Neurocomputing, Signal Processing
  • (IEEE) TBD, TCYB, TITS, TKDE
  • (Springer) FCSC, SNAM, WWWJ
Invited Talks
  • 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

  • PAKDD 2013 Best Paper Award [link]
  • CCF 2009 Doctoral Dissertation Award Nomination [link]

Students

  • Wei Wu - PhD student@UTS (with Dr. Ling Chen), 2015 - now.
  • Ling Luo - PhD@USyd (with Prof. Irena Koprinska), 2015 - 2018. Google PhD Fellowship 2017 
  • Xuhui Fan - Postdoc@CSIRO, 2015 - 2017.
  • Yi Wang - PhD@UNSW (with Dr. Fang Chen and Dr. Yang Wang), 2014 - 2016.
  • From 2009 to 2014, I also co-supervised Ruijiang Li - PhD@Fudan, Yifan Fu - PhD@UTS, and Lianhua Chi - PhD@UTS without formally registering as their co-supervisors in their universities. 

Last update: 25-10-2017