Wang Zhi

September, 2008 - January 2014: PhD, Department of      Computer Science and Technology, Tsinghua University

September, 2004 - July, 2008: BE, Department of      Computer Science and Technology, Tsinghua University

December, 2018 - Now: Associate Professor, Tsinghua Shenzhen      International Graduate School, Tsinghua University

February, 2014 - December, 2018: Assistant Professor, Tsinghua      Shenzhen International Graduate School, Tsinghua University

February, 2012 - August 2012: Visitor, University of Toronto

January, 2010 - July 2010: Research Assistant, The University      of Hong Kong

1. Associate, Editor, IEEE Transactions on Multimedia, 2019-至今;

2. Associate, Editor, IEEE Open Journal of Communications Society, 2019--2020;
   

3. Guest, Editor, ACM Transactions on Intelligent Systems and Technology (ACM TIST), Special issue on Data-driven Intelligence for Wireless Networking, 2016-2017;
   

4. Guest, Editor, Special Section on Data-driven Design for Edge Networking and Edge Cloud, Journal of Computer and Technology (JCST), 2016 -- 2017;
   

5. Guest, Editor, Special Section on Networking and Distributed Computing for Big Data, Journal of Computer and Technology (JCST), 2015 -- 2016;
   

6. Leading Guest Editor, Special Issue on Computer Network Design for Social Media, China Communications, 2015 -- 2016;
   

1. Foundations for Big Data Systems

2. Distributed Machine Learning Systems

3. Seminars on Data Science and Applications

We are looking for graduate students with strong interests and motivation to work on data-driven network design, mobile cloud computing and big-data systems. Students with hands-on systems building abilities and mathematical background are highly encouraged. Send me an email with your CV if you are interested in working with us.

Zhi Wang is currently an associate professor at Shenzhen International Graduate School, Tsinghua University. He received his Ph.D. in 2014 and his B.E. in 2008, both from Tsinghua University. His research areas include multimedia networks, mobile cloud computing, and large-scale machine learning systems. He is a recipient of the Natural Science Award of the Ministry of Education (First Prize) in 2017, the National Natural Science Award (Second Prize) in 2018, the Shenzhen Youth Science and Technology Award in 2019, and the Technology Invention Award of the Chinese Institute of Electronics (First Prize) in 2020. In addition, his research won the Best Paper Award of ACM Multimedia, the Outstanding Doctoral Thesis Award of China Computer Federation, the Best Student Paper Award of MMM, and the Best Paper Award of ACM Multimedia, HUMA Workshop. He is an Associate Editor of IEEE TMM and Guest Editor of ACM TIST and JCST. His current research areas are as follows:

1. Multimedia edge computing

2. Distributed machine learning

3. Multimedia network

4. Multimedia content delivery

[1]Shuzhao Xie, Yuan Xue, Yifei Zhu and Zhi Wang. Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach, In Proceedings of IEEE INFOCOM, 2-5 May 2022, Virtual Conference (CCF-A). [pdf]

[2]Lei Zhang, Yuqing Zhang, Ximing Wu, Fangxin Wang, Laizhong Cui, Zhi Wang and Jiangchuan Liu. Batch Adaptative Streaming for Video Analytics, In Proceedings of IEEE INFOCOM, 2-5 May 2022, Virtual Conference (CCF-A). [pdf]

[3]Shiji Zhou, Lianzhe Wang, Shanghang Zhang, Zhi Wang and Wenwu Zhu. Active Gradual Domain Adaptation: Dataset and Approach, In IEEE Transactions on Multimedia, vol. 24, pp. 1210--1220, January 2022. (JCR-Q1) [pdf]

[4]Jingyan Jiang, Ziyue Luo, Chenghao Hu, Zhaoliang He, Zhi Wang, Shutao Xia and Chuan Wu. Joint Model and Data Adaptation for Cloud Inference Serving, In Proceedings of IEEE Real-Time Systems Symposium (RTSS), 7–10 December 2021, Dortmund, Germany (CCF-A). [pdf]

[5]Tao Dai, Yalei Lv, Bin Chen, Zhi Wang, Zexuan Zhu and Shutao Xia. Mix-order Attention Networks for Image Restoration, In Proceedings of ACM Multimedia, 20-24 October 2021, Chengdu, China (CCF-A). [pdf]

[6]Yitian Yuan, Xiaohan Lan, Xin Wang, Long Chen, Zhi Wang and Wenwu Zhu. A Closer Look at Temporal Sentence Grounding in Videos: Dataset and Metric, In Proceedings of ACM Multimedia, HUMA Workshop, 20–24 October 2021, Chengdu, China (Best Paper Award). [pdf]

[7]Chenglei Wu, Zhi Wang and Lifeng Sun. PAAS: A Preference-Aware Deep Reinforcement Learning Approach for 360 Video Streaming, In Proceedings of ACM NOSSDAV, September 2021, Istanbul, Turkey.

[8]Jiahui Ye, Zichun Li, Zhi Wang, Zhuobin Zheng, Han Hu and Wenwu Zhu. Joint Cache Size Scaling and Replacement Adaptation for Small Content Providers, In Proceedings of IEEE INFOCOM 2021, May 10--13, 2021, Virtual Conference, China (CCF-A) [pdf]

[9]Haopeng Yan, Zeming Chen, Zhi Wang and Wenwu Zhu. DRL-based Collaborative Edge Content Replication with Popularity Distillation, In Proceedings of IEEE ICME 2021, July 5-9, 2021, Shenzhen, China. [pdf]

[10]Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu and Jianping An. Model Compression via Collaborative Data-free Knowledge Distillation for Edge Intelligence, In Proceedings of IEEE ICME 2021, July 5-9, 2021, Shenzhen, China. (Best Paper Award Finalist) [pdf]

[11]Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Chuan Wu, Shanghang Zhang and Wenwu Zhu. Caching in Dynamic Environments: a Near-optimal Online Learning Approach, In IEEE Transactions on Multimedia, vol. 23, no. 8, pp. 1--13, March 2021. (JCR-Q1) [pdf]

[12]Laizhong Cui, Erchao Ni, Yipeng Zhou, Zhi Wang, Lei Zhang, Jiangchuan Liu and Yuedong Xu. Towards Real-Time Video Caching at Edge Servers: A Cost-Aware Deep Q-Learning Solution, In IEEE Transactions on Multimedia, vol. xx, no. xx, pp. xx--xx, November 2021 (accepted). (JCR-Q1) [pdf]

[13]Wenwu Zhu and Zhi Wang. Data-driven Multiemdia Edge Network and Content Delivery, In Science China Information Sciences, vol. 51, no. 3, pp. 468--504, 2021 (CCF-A) [pdf]

[14]Yuwei Zhang, Peng Zhang, Chun Yuan and Zhi Wang. Texture and Shape Biased Two-stream Networks for Clothing Classification and Attribute Recognition, In Proceedings of IEEE CVPR, June 14-19, 2020, Virtual (CCF-A).

[15]Chenglei Wu, Ruixiao Zhang, Zhi Wang and Lifeng Sun. A Spherical Convolution Approach for Learning Long Term Viewport Prediction in 360 Immersive Video, In Proceedings of AAAI Conference on Artificial Intelligence 2020, February 7-12, 2020, New York, NY, USA (CCF-A) [pdf]

[16]Full list...

Best Paper Award, ACM Multimedia, HUMA Workshop 2021

Best Paper Runner-up, IEEE ICME 2021

Best Paper Runner-up, IEEE/ACM IWQoS 2016

Best Student Paper Award, MMM 2015

Outstanding Doctoral Dissertation Award, China Computer Federation 2014

Best Paper Award, ACM Multimedia 2012

Chinese Institute of Electronics Award (First Prize), 2020

Shenzhen Youth Science and Technology Award, 2019

National Natural Science Award (Second Prize), 2018

 Natural Science Award of Ministry of Education (First Prize), 2017