Zhi Wang

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 research has been covered by prestigious technology media, including MIT Technology Review and Synced Review. 

• 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

•  Associate Editor, IEEE Transactions on Multimedia, 2019--

•  Associate Editor, IEEE Open Journal of Communications Society, 2019--

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

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

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

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

His current research areas are as follows:

- Data-driven strategies for multimedia networking: Using data-driven intelligence to improve the performance of multimedia content delivery systems and the quality of user experience.

- Edge Computing: Using cloudlet resources to support innovative services and applications for mobile users.

- Distributed Machine Learning: Building large-scale distributed machine learning systems for streaming and iterative machine learning tasks.

•  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

We are looking for Ph.D. and master 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.

PUBLICATIONS

1. Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang and Shutao Xia. FSR: A General Frequency-oriented Framework to Accelerate Image Super-resolution Networks, In Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence, Washiongton, DC, USA, 7-14 February 2023 (CCF-A)

2. Zijie Fang, Yang Chen, Yifeng Wang, Zhi Wang, Xiangyang Ji and Yongbing Zhang. Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint, In Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence, Washiongton, DC, USA, 7-14 February 2023 (CCF-A)

3. Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang and Wenwu Zhu. Curriculum Multi-Negative Augmentation for Debiased Video Grounding, In Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence, Washiongton, DC, USA, 7-14 February 2023 (CCF-A)

4. Yiyun Lu, Yifei Zhu and Zhi Wang. Personalized 360-Degree Video Streaming: A Meta-Learning Approach, In Proceedings of ACM Multimedia, Lisbon, Portugal, 10-14 October 2022 (CCF-A)

5. Chen Tang, Haoyu Zhai, Kai Ouyang, Zhi Wang, Yifei Zhu and Wenwu Zhu. Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach, In Proceedings of ACM Multimedia, Lisbon, Portugal, 10-14 October 2022 (CCF-A)

6. Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, Wen Ji, Yaowei Wang and Wenwu Zhu. Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance, In Proceedings of European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, 23-27 October 2022

7. Xinjie Yuan, Mingzhou Wu, Zhi Wang, Yifei Zhu, Ming Ma, Junjian Guo, Zhili Zhang and Wenwu Zhu. Understanding 5G Performance for Real-world Services: a Content Provider's Perspective, In Proceedings of ACM SIGCOMM, Amsterdam, the Netherlands, August 2022 (CCF-A)

8. Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu and Qun Liu. bert2BERT: Towards Reusable Pretrained Language Models, In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL), Dublin, 22-27 May 2022 (CCF-A)

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

10. 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, Virtual Conference, 2-5 May 2022 (CCF-A)

11. Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu and Jianping An. CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing, In IEEE Transactions on Multimedia (TMM), vol. 24, no. xx, pp. 4262-4274, 2022.

12. Xiaohan Lan, Yitian Yuan, Xin Wang, Long Chen, Zhi Wang, Lin Ma and Wenwu Zhu. A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach, In ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. xx, no. xx, article xx, Accepted.

13. Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang and Yonggang Wen. Towards a Systematic Survey for Carbon Neutral Data Centers, In IEEE Communications Surveys and Tutorials, vol. xx, no. xx, article xx, Accepted. (Impact Factor: 25.25 as of April 2022)

14. 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)

15. 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), Dortmund, Germany, 7–10 December 2021 (CCF-A)

16. 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, Chengdu, China, 20-24 October 2021 (CCF-A)

17. 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, Chengdu, China, 20–24 October 2021 (Best Paper Award)

18. 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, Virtual Conference, China, May 10--13, 2021 (CCF-A)

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

20. 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, Shenzhen, China, July 5-9, 2021 (Best Paper Award Finalist)

21. 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)

22. 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)

23. Zhaoliang He, Hongshan Li, Zhi Wang, Shutao Xia and Wenwu Zhu. Adaptive Compression for Online Computer Vision: An Edge Reinforcement Learning Approach, In ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 17, no. 4, article 118, September      2021.

24. Cheng Zhan, Han Hu, Zhi Liu, Zhi Wang and Shiwen Mao. Multi-UAV-Enabled Mobile Edge Computing for Time-Constrained IoT Applications, In IEEE Internet of Things Journal, vol. 8, no. 20, pp. 15553--15567, October 2021

25. 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)

We are looking for Ph.D. and master 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.