Prof. Wan-Lei Zhao

English | 中文

  Computing Multimedia Lab

Depart. of Computer Science and Engineering

Faculty of Information Science, Xiamen University

Email:

        Curriculum Vitae
Personal Information

    Wan-lei Zhao received his Bachelor degree of Eng. and Master degree of Eng. from Yunnan University, China in Jul. 2002, Nov. 2005 respectively. During his graduate's studies, he spent a year at the Software Institute, Chinese Academy of Sciences, as an exchange student. He pursued his doctoral studies at City University of Hong Kong under the supervision of Professor Chong-Wah Ngo. He received his Ph.D. in November 2010. From February 2011 to December 2013, he pursued the postdoctoral research at the Technical University of Kaiserslautern-Landau in Germany and the National Institute for Research in Digital Science and Technology (INRIA, Bretagne Atlantique) in France.

        He focuses on multimedia information retrieval and multidimensional time series analysis. In multimedia information retrieval, his research covers mainly the vector database index structure design and unified feature representation of multimedia data (e.g. text, image, and visual instances). In multidimensional time series analysis, his research focuses on the online anomaly detection and short-term trend prediction. In addition, he also conducts research on optimization algorithms to help enterprises optimize the production planning in the manufacture indurstry by mathematical modeling. His research team welcomes talented young people who are aspiring in scientific research or the IT industry.


Research Interests
  • Multimedia Information retrieval
  • Computer Vision
  • Machine learning

            Research works shown in slides


Projects on GitHub
  • Traditional local interest point detectors and descriptors LIP-VIREO
  • k-means and its variants xkmeans
  • Indexing graph construction and graph-based fast NN search TSDG
  • Product quantizer for fast NN search product-quantizer
  • Mean shift for image shading and segmentation Mean-shift

Selected Publications
  • Near-duplicate Image/Video Detection
    1. Fast tracking of near-duplicate keyframes in broadcast domain with transitivity propagation, ACM Conf. on Multimedia, 2006, the 2nd author
    2. Scale-rotation invariant pattern entropy for keypoint-based near-duplicate detection, IEEE Trans. on Image Processing, 2009, the 1st author
    3. Large-scale near-duplicate web video search: Challenge and opportunity, IEEE ICME, 2009, the 1st author
    4. On the annotation of web videos by efficient near-duplicate search, IEEE Trans. on Multimeida, 2010, the 1st author
    5. Flip-Invariant SIFT for Copy and Object Detection, IEEE Trans. on Image Processing, 2013, the 1st author
    6. Near-duplicate keyframe identification with interest point matching and pattern learning, IEEE Trans. on Multimedia, 2007, the 1st author
    7. Oriented pooling for dense and non-dense rotation-invariant features, BMVC, 2013, the 1st author
    8. Sim-Min-Hash: An efficient matching technique for linking large image collections, ACM Multimedia, 2013, the 1st author
  • Machine Learnig
    1. k-means: A revisit, Neurocomputing, 2018, the 1st author
    2. A joint model for IT operation series prediction and anomaly detection, Neurocomputing, 2021, the 2nd author*
    3. k-sums clustering: a stochastic optimization approach, ACM CIKM, 2021, the 1st author*
    4. Fast k-Means Based on k-NN Graph, IEEE ICDE, 2018, the 2nd author*
    5. Online Deep Metric Learning via Mutual Distillation, IEEE ICME, 2022, the 2nd author*
  • Fast Indexing
    1. Approximate k-NN Graph Construction: A Generic Online Approach, IEEE Trans. on Multimeida, 2021, the 1st author*
    2. On the merge of k-NN graph, IEEE Trans. on Big Data, 2021, the 1st author*
    3. Fast k-NN Graph Construction by GPU based NN-Descent, ACM CIKM, 2021, the 2nd author*
  • Computer Vision
    1. Towards Accurate Localization by Instance Search, ACM Conf. on Multimedia, 2021, the 3rd author*
    2. Deeply Activated Salient Region for Instance Search, ACM TOMM, 2022, the 2nd author*
    3. Instance search based on weakly supervised feature learning, Neurocomputing, 2020, the 2nd author*
    4. Dynamic sampling for deep metric learning, Pattern Recognition Letters, 2021, the 2nd author*
    5. Instance search via instance level segmentation and feature representation, Journal of Visual Communication and Image Representation, 2021, the 2nd author*

             The full publication list can be found from his Google Scholar website


Teaching

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