Bio

Zhu Li (Bio, CV) is now an Associate Professor with the Dept of Computer Science & Electrical Engnieering (CSEE), University of Missouri,Kansas City, and the director of the new NSF Center for Big Learning at UMKC . He was an AFRL summer visiting professor at the US Air Force Academy , Colorado Springs, Summer of 2016,'17,'18. He received his PhD in Electrical & Computer Engineering from Northwestern University, Evanston in 2004. He was Sr. Staff Researcher/Sr. Manager with with Samsung Research America's Multimedia Standards Research Lab in Richardson, TX, 2012-2015, Sr. Staff Researcher/Media Analytics Group Lead with FutureWei (Huawei) Technology's Media Lab in Bridgewater, NJ, 2010~2012, and an Assistant Professor with the Dept of Computing, The Hong Kong Polytechnic University from 2008 to 2010, and a Principal Staff Research Engineer with the Multimedia Research Lab (MRL), Motorola Labs, from 2000 to 2008.

His research interests include audio-visual analytics and machine learning with its application in large scale video repositories annotation, mining and recommendation, video object identification and event recognition, as well as video adaptation, source-channel coding and distributed optimization issues of the wireless video networks. He has 46 issued or pending patents, 100+ publications in book chapters, journals, conference proceedings and standard contributions in these areas. He is an IEEE senior member, associated editor (2015~) for IEEE Trans.on Multimedia, and associated editor (2016~) for IEEE Trans on Circuits & System for Video Technology, associated editor (2015~) for Journal of Signal Processing Systems (Springer), steering committee memeber of IEEE ICME, elected member (2014-2017) of the IEEE Multimedia Signal Processing (MMSP) Tech Committee, elected Vice Chair (2008-2010), Standards Liaison (2014-2016) of the IEEE Multimedia Communication Technical Committee (MMTC), member of the Best Paper Award Committee, ICME 2010, co-editor for the Springer-Verlag book on "Intelligent Video Communication: Techniques and Applications", and " Multimedia Analysis, Computing and Communication,". He received the Best Poster Paper Award at IEEE Int'l Conf on Multimedia & Expo (ICME), Toronto, 2006, and the Best Paper (DoCoMo Labs Innovative Paper) Award at IEEE Int'l Conf on Image Processing (ICIP), San Antonio, 2007.

Recent Services:

I am serving as TPC Co-Chair for IEEE ICME 2019, served as General Co-Chair for IEEE Visual Communication & Image Processing (VCIP) Conference, St. Petersburg, FL, 2017, Steering Committee member, IEEE Int'l Conference on Multimedia & Expo (ICME), and Area Chair for IEEE Int'l Conf on Image Processing (ICIP), Phoenix, AZ, 2016.

Teaching

  • Fall 2018: ECE/CS 548 Digital Image Processing
  • Fall 2018: ECE/CS 5578 Multimedia Communication
  • Spring 2018: ECE/CS 5590 Image Analysis & Retrieval , previous offerings: 2017
  • Fall 2017: Adv. Multimedia Communication

    Invited Talks

    - Mobile Visual Search: Object Re-Identification Against Large Repositories, invited talk at Academia Sinica, Taipei, 2015.12, hosted by Prof. Wen-Huang Cheng, University of Science & Tech of China (USTC), hosted by Prof. Houqiang Li, and Shanghai Jiaotong University, hosted by Prof. Y.L. Xu, 2016.01.
    - Subspace Indexing on Grassmannian Manifold for Large Scale Visual Identification, given at EPFL/IBM Research/Northwestern Univ/Stevens Tech/Motorola Solutions Research/MIT Lincoln Lab/Beijing University.

  • Multimedia Computing & Communication Lab

    Publications:

    People:

    • Li Li, Univ of Science & Tech of China, Visiting Assistant Professor/Asst. Director of MCC Lab (Fall, 2016~)
    • Renlong Hang, Nanjing Univ of Info Science & Tech (NUISCT), Post-Doc Researcher (Fall, 2018~)
    • Dewan F. Noor, Bangeladesh Univ of Engineering & Tech, PhD Student (Spring, 2016~)
    • Zhaobin Zhang, Huazhong Univ of Science & Tech, PhD Student (Fall, 2016~)
    • Yangfan Sun, MS UMKC, PhD Student (Spring 2017~)
    • Raghunath Puttagunta, MS UMKC, PhD Student (Fall 2017~)
    • Birendra Kathariya, MS UMKC, PhD Student (Fall, 2017~)
    • Anique Akhatar, PhD Student (Spring, 2018~)
    • Wei Jia, PhD Student (Fall, 2018~)
    • Han Zhang , visiting PhD student, Shanghai Jiaotong Univ (SJTU), 2018~
    • Ning Yan , research assistant/visiting PhD student, Univ of Science & Tech of China (USTC), 2018~
    • Paras Maharjan, MS student, Deep learning image enhancement/post processing. 2018~

    Alumni:

    • Wenjie Zhu , visiting PhD student, Shanghai Jiaotong Univ (SJTU), 2017~2018.
    • Yue Li , visiting PhD student, Univ of Science & Tech of China (USTC), 2017.09-2018.09.
    • Karthik Ainala, MS Thesis ( Low Latency Point Cloud Compression and Communication ) Student (graduated, 2018)
    • Eric Cornwell , MS Thesis (Dense Camera Capture Light Field Compression ) Student (graduated 2017, now with Honeywell KCP)
    • Prasana Gadiparthi, MS Thesis (Content De-Duplication with Spatio-Temporal Compact Hash) Student (graduated 2017, now with American Express)
    • Shaina Krumme, RA/visiting student, Univ of Kansas (Summer 2017).

    Research Projects:

    • Depth sensing and Point Cloud Capture and Comperssion for auto-driving and 3D mapping (PCC)
    • Future Video Codec with deep learning for compression (FVC)
    • Deep Learning Model Compression and Acceleration (DLMCA)
    • Low Resolution and Quality Image Enhancement and Recognition (LRQIER)
    • Multimedia Transport System research, Low latency visual communication, immersive visual communication system (MMSys)

    Sponsors:

    Many thanks to the generous support from: Sponsors

    Full publication list

    2018

    1. Z. Zhang, L. Li, Z. Li, and H. Li, "Mobile Visual Search Compression with Grassmann Manifold Embedding", IEEE Trans on Circuits & Sys for Video Tech , accepted.
    2. Y. Li and Z. Li, "Light Field Compression", book chapter in Springer-Verlag Book in Dynamic Data Driven Applications Systems (DDDAS)", Ed. Erik Blausch, to appear, 2018.
    3. Y. Li, L. Li, D. Li, H. Li, Z. Li, and F. Wu, “Learning a Convolutional Neural Network for Image Compact Resolution”,  accepted, IEEE Trans on Image Processing , 2018.
    4. L. Li, Z. Li, X. Ma, H. Yang, and H. Li, “An Efficient Compression Framework for the 360-Degree Video”,  accepted with minor revision,  IEEE Trans on Image Processing, 2018.
    5. B. Kathariya, L. Li, Z. Li, and J. Alvarez, “Lossless Dynamic Point Cloud Geometry Compression with Inter Compensation and Traveling Salesman Prediction”, IEEE Data Compression Conference (DCC) , Snow Bird, 2018.
    6. S. Zhao, G. Muppala, Z. Li, D. Medhi, "Smooth Streaming With MPEG-DASH Using SDN-Based Application-Aware Networking". Intl Conf on Computing, Networking and Communications (ICNC)2018: 77-81
    7. N. Reddy, D. Noor, Z. Li, and R. Derakhashani, “Multi-Frame Super Resolution Occular Biometrics”, IEEE Computer Society Biometrics Workshop (CVPRW on Biometrics) , Salt Lake City, USA, 2018.
    8. Duc Huy Hoang Nguyen, R. Puttagunta, Z. Li, and R. Derakhshani, "User Re-Identification Using Clothing Information for Smartphones", IEEE Int'l Symposium on Technologies for Homeland Security , Woburn, MA, 2018. Best Paper Award
    9. B. Kathariya, L. Li, Z. Li, and J. Alvarez, “Scalable Point Cloud Geometry Coding with Binary Tree Embedded Quadtree”, IEEE Int'l Conf. on Multimedia & Expo (ICME) ,San Diego, USA, 2018.
    10. Y. Shao, Q. Zhang, G. Li and Z. Li, "Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction" ACM Multimedia , Seoul, Korea, 2018.
    11. Y. Li, L. Li, Z. Li, J. Yang, N. Xu, D. Liu, H. Li, "A Hybrid Neural Network for Chroma Intra Prediction" IEEE Int'l Conf on Image Processing (ICIP), Athens, Greece, 2018.
    12. Y. Sun, M. J. L. Li, and Z. Li, "A Machine Learning Approach to Accurate Sequence Level Rate Control Scheme for Video Coding" IEEE Int'l Conf on Image Processing (ICIP), Athens, Greece, 2018.
    13. Xin Zhao, Li Li, Zhu Li, Xiang Li, Shan Liu, "Coupled Primary and Secondary Transform for Next Generation Video Coding", IEEE Visual Communication & Image Processing Conf (VCIP), Taiwan, 2018.
    14. Zhuoqun Wang, Zhu Li, Yiling Xu, Jun Sun, "Selective Convolutional Features based Generalized-mean Pooling for Fine-grained Image Retrieval" IEEE Visual Communication & Image Processing Conf (VCIP), Taiwan, 2018.
    15. Zhaobin Zhang, Yue Li, Li Li, Li Zhu, Shan Liu, "Combining Intra Block Copy and Neighboring Samples Using Convolutional Neural Network for Image Coding" IEEE Visual Communication & Image Processing Conf (VCIP), Taiwan, 2018.

    2017

    1. L. Li, Z. Li, B. Li, D. Liu, and H. Li, “Pseudo sequence based 2-D hierarchical coding structure for light-field image compression”, to appear, IEEE Journal of Selected Topics in Signal Processing, Special Issue on Light Field, 2017.
    2. L. Li, H. Li, D. Liu, Z. Li, H. Yang, S. Lin, F. Wu, “An Efficient Four-Parameter Affine Motion Model for Video Coding”, to appear, IEEE Trans on Circuits & System for Video Tech, 2017.
    3. S. Zhao, Z. Li, D. Medhi, P. Lai, and S. Liu, "Study of User QoE Improvement for Dynamic Adaptive Streaming over HTTP (MPEG-DASH)", Intl Conf on Computing, Networking and Communications (ICNC), Santa Clara, 2017.
    4. L. Li, Z. Li, B. Li, D. Liu, and H.-Q. Li, "Pseudo Sequence based 2-D hierarchical reference structure for Light-Field Image Compression", IEEE Data Compression Conference (DCC), Snow Bird, 2017.
    5. S. Feng, Z. Li, Y. Xu, and J. Sun, “Compact Scalable Hash from Deep Learning Features Aggregation for Content De-duplication”, IEEE Multimedia Signal Processing Workshop (MMSP), London, 2017.
    6. W. Zhu, L. Li, Z. Li and Y. Xu, “Lossless Point Cloud Geometry Compression via Binary Tree Partition and Intra Prediction”, IEEE Multimedia Signal Processing Workshop (MMSP), London, 2017.
    7. E. Cornwell, L. Li, Z. Li, and Y. Sun, “An Efficient Compression Scheme for the Multi-Camera Light Field Images”, IEEE Multimedia Signal Processing Workshop (MMSP), London, 2017.
    8. Z. Zhang, L. Li, Z. Li, and H. Li, “Visual Query Compression with Locality Preserving Projection on Grassmann Manifold”, IEEE Intl Conf on Image Processing (ICIP), Beijing, 2017.
    9. L. Li, Z. Li, M. Bugadavi, and H. Li, “PROJECTION BASED ADVANCED MOTION MODEL FOR CUBIC MAPPING FOR 360-DEGREE VIDEO”, IEEE Intl Conf on Image Processing (ICIP), Beijing, 2017.
    10. Y. Li, L. Li, Z. Li, and H. Li, “Hierarchical Piece-Wise Canonical Correlation Analysis Projections for Efficient Intra-Prediction Coding”, IEEE Visual Communication & Image Processing (VCIP) Conf, St. Petersberg, FL, 2017.
    11. Y. Shao, Z. Zhang, Z. Li, and G. Li, “Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform”, IEEE Visual Communication & Image Processing (VCIP) Conf, St. Petersberg, FL, 2017.
    12. B. Kathariya, K. Ainala, Z. Li, and R. Joshi, “Embedded Binary Tree For Dynamic Point Cloud Geometry Compression with Graph Signal Resampling and Prediction”, IEEE Visual Communication & Image Processing (VCIP) Conf, St. Petersberg, FL, 2017.
      

    2016

      
    1. K. Aninala, R. Mekuria, B. Kathariya, Z. Li, Y.-K. Wang and R. Joshi, "An improved enhancement layer for octree based point cloud compression with plane projection approximation", SPIE App. of Digital Image Processing San Diego, 2016.
    2. W. Huang, Y.-L. Xu, and Z. Li, "A New AL-FEC Coding Scheme for Mobile Video Broadcasting with Limited Feedback", IEEE Mutimedia Signal Processing (MMSP) Workshop, Montreal, Canada, 2016.
    3. Z. Li, S. Zhao, D. Medhi, and I. Bouazizi, "Wireless Video Traffic Bottleneck Coordination with DASH SAND Framework", IEEE Visual Communication and Image Processing (VCIP) Conf, Chengdu, China, 2016.
    4. S. Zhao, Z. Li, and D. Medhi, "Low Delay MPEG DASH Streaming over the WebRTC Data Channel", IEEE PacketVideo Workshop , Seattle, 2016.
    5. S. Xie, Y.-L, Xu, and Z. Li, "DASH Sub-Representation with Temporal QoE Driven Layering", IEEE PacketVideo Workshop , Seattle, 2016.
    6. S. Zhao, Z. Li, and D. Medhi, "Low Delay Streaming of DASH Content with WebRTC Data Channel", IEEE/ACM Int'l Workshop on Quality of Service (IWQoS), Beijing, 2016.
    7. D. Noor, Z. Li, and A. Nagar, " ROBUST OBJECT RE-IDENTIFICATION WITH GRASSMANN SUBSPACE FEATURE FOR KEY POINTS AGGREGATION", IEEE Int'l Conf on Image Processing, Arizona, 2016.
    2010-2015
    1. Z. Zheng, Z. Li, A. Nagar, "Compact Deep Neural Networks for Device-Based Image Classification", book chapter, Mobile Cloud Visual Media Computing, Springer-Verlag, 2015: 201-217.
    2. Z. Zheng, Z. Li, A. Nagar, and W. Kang, "Compact Deep Neural Network for Device Based Image Classification", submitted to IEEE Int'l Conf on Multimedia & Expo (ICME). [PDF]
    3. V. Fragoso, G. Srivastava, A. Nagar, Z. Li, K. Park, and M. Turk, "Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation", Proc of the 4th IEEE Int'l Workshop on Mobile Vision , Columbus, USA, 2014. [PDF]
    4. A. Nagar, Z. Li, G. Srivastava, and K. Park, "AKULA: Adaptive Cluster Aggregation for Visual Search", IEEE Data Compression Conference (DCC), 2014. [PDF]
    5. Z. Li, and I. Bouazizi, "Light Weight Content Fingerprinting for Video Playback Verification in MPEG DASH", Proceedings of IEEE PacketVideo, San Jose, 2013. [PDF]
    6. X. Xin, A. Nagar, G. Srivastava, Z. Li, F. Fernandes, A. Katsaggelos,Large Visual Repository Search with Hash Collision Design Optimization. IEEE MultiMedia 20(2): 62-71 (2013).
    7. X. Xin, Zhu Li, A. K. Katsaggelos, "Laplacian embedding and key points topology verification for large scale mobile visual identification", Signal Processing: Image Communication vol. 28(4): 323-333 (2013).
    8. J. Yuan, G. Zhao, Y. Fu, Z. Li, A. K. Katsaggelos, Y. Wu," Discovering Thematic Objects in Image Collections and Videos", IEEE Trans. on Image Processing vol.21(4): 2207-2219 (2012).
    9. W. Ji, Z. Li, and Y. Chen, "Joint Source-Channel Coding Optimization for Layered Video Broadcasting to Heterogeneous Devices", IEEE Trans. on Multimedia, vol.14(2): 443-455 (2012).
    10. H. Xu, J. Wang, Z. Li, G. Zeng, S. Li,"Complementary Hashing for Approximate Nearest Neighbor Search", IEEE Int'l Conference on Computer Vision (ICCV), Barcelona, Spain, 2011. [PDF]
    11. X. Wang, Z. Li, and D. Tao, "Subspace Indexing on Grassmann Manifold for Large Scale Multimedia Retrieval", IEEE Trans. on Image Processing, vol.20(9): 2627-2635 (2011). [PDF]
    12. B. Liu, Z. Li, L. Lin, and M. Wang, "Real-Time Video Copy Location Detection in Large Scale Repository ", IEEE Multimedia vol. 18(3): 22-31 (2011). [PDF]
    13. X. Wang, Z. Li, L. Zhang, and J. Yuan, "Grassmann Hashing for Approx Nearest Neighbour Search in High Dimensional Space", Proc. of IEEE Int'l Conf on Multimedia & Expo (ICME), Barcelona, Spain, 2011. [PDF]
    Recent News
    2016-18 AFRL visiting faculty at the USAF Academy, falling in love with Colorado 14ers: Mt. Antero (#10) , Mt. Elbert (#1), Mt. Harvard (#3) , Mt. Massive (#2), Mt. Lincoln (#8) , Grays Peak (#9), plan to finish all top 10 14ers. :)

    News

    2018.11, elected IEEE IVMSP Technical Committee, 2019-2021.

    2018.10, Best Paper Award at IEEE Int'l Symposium on Technologies for Homeland Security, Woburn, MA, 2018.

    2018.07, Elected TPC co-chair for IEEE ICME 2019 , representing SPS.

    2018.05, IEEE Journal on Selected Area in Communication (J-SAC) Special Issue on Multimedia Economics for Future Networks: Theory, Methods and Applications.

    2018.05, Springer Journal on Signal Processing Systems (JSPS) Speical Issue on "Deep Learning in Compression".

    2018.02, NSF I/UCRC Center for Big Learning awarded. The UMKC Kickoff Meeting & Workshop on 03/09.

    2018.01, elected steering committee member for the IEEE Int'l Conf on Multimedia & Expo (ICME) representing MMSP TC, and IEEE Visual Communication & Image Processing (VCIP) Conf sponsored by VSPC TC.
       

    Announcements

    PhD Scholarships are available for 2 self-motivated students. Ideal candidates should have an MS degree in CS/EE and have solid programming in C, Python, and MATLAB. Visiting scholars are welcome. If interested, send me a brief email at: lizhu@umkc.edu.
    For more details, click here.