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 director of the Multimedia Computing & Communication (MC^2) Lab. 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.

While on faculty at the Hong Kong Polytechnic University, he also served as CTO for the "big data" mobile music and visual search startup Mudi Technology Inc, which has successfully commercialized its music search product with China Mobile Shenzhen, and mobile query-by-capture for books and CDs with dangdang.com. [android demo app]

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 25 issued or pending patents, 90+ 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 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

Spring 2017: ECE/CS 5590 Image Analysis & Retrieval
Spring 2017: ECE/CS 5590: Multimedia Communication
Fall 2016: 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

People:

  • Li Li, Univ of Science & Tech of China, Post-Doc Researcher (Fall, 2016)
  • 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, 2016)
  • Karthik Ainala, MS/PhD Student (Fall, 2016)
  • Eric Cornwell, MS Thesis Student (graduated 2017, now with Honeywell KCP)
  • Prasana Gadiparthi, MS Thesis Student (graduated 2017, now with American Express)

Research Projects:

  • Point Cloud Capture and Comperssion (PCC)
  • Future Video Codec (FVC)
  • Deep Learning Model Compression and Acceleration (DLMCA)
  • Content & Object Re-Identification and Retrieval (CORIR)
  • Genome Data Compression, Privacy and Retrieval Systems.
  • Low latency visual communication, immersive visual communication system.

Publications:

Recent Papers

  • 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.
  • S. Zhao, Z. Li, D. Medhi, P. Lai, and S. Liu, "Study of User QoE Improvement for Dynamic Adaptive Streaming over HTTP (MPEG-DASH)", International Conference on Computing, Networking and Communications (ICNC), Santa Clara, 2017.
  • 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.
  • 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.
  • 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.
  • S. Zhao, Z. Li, and D. Medhi, "Low Delay MPEG DASH Streaming over the WebRTC Data Channel", IEEE PacketVideo Workshop, Seattle, 2016.
  • S. Xie, Y.-L, Xu, and Z. Li, "DASH Sub-Representation with Temporal QoE Driven Layering", IEEE PacketVideo Workshop, Seattle, 2016.
  • 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.
  • 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.
  • 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.
  • 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]
  • 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]
  • A. Nagar, Z. Li, G. Srivastava, and K. Park, "AKULA: Adaptive Cluster Aggregation for Visual Search", IEEE Data Compression Conference (DCC), 2014. [PDF]
  • Z. Li, and I. Bouazizi, "Light Weight Content Fingerprinting for Video Playback Verification in MPEG DASH", Proceedings of IEEE PacketVideo, San Jose, 2013. [PDF]
  • 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).
  • 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).
  • 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).
  • 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).
  • 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]
  • 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]
  • 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]
  • 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]

For a more detailed list, click Here.

Zhu Li
Scaling Mt. Elbert, 14439ft, 2016.07, Colorado.

News

2017.08, Farewell hike of Eagle's Peak, climbed 5 14ers: Mt. Antero, Mt. Massive, Mtns.Lincoln, Democrat, and Bross.      

2017.06, visiting professor, Center for Unmanned Aerial System (UAS) Research, US Air Force Academy

2016.12, Multi-University (Florida, CMU, UMKC and Oregon) NSF I/UCRC on Big Learning (NSF CBL) planning grant approved.

2016.12, APSIPA Plenary ForumDeep Learning: Past, Present and Future , Jeju, Korea, 2016.

2016.07, Climbed Mountain Elbert, the highest peak in Rocky Mountains.

2016.06, Starting my AFRL Summer Faculty Fellowship with the US Air Force Academy , in Colorado Springs.

2016.05, Appointed Ad Hoc Group Co-Chair, MPEG 3DGC group, working on the Point Cloud Compression.

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.