Talks

Conference Invited Talks

1. J. Zhang, “Towards connected intelligence: Communication for AI as a Service (AIaaS),” IEEE Workshop on Integrated Communication and Computing for Next-generation Mobile Networks, VTC2023-Fall, Hong Kong, Oct. 2023.

2. J. Zhang, “Task-oriented Communication for Edge AI,” IEEE Workshop on Task-Oriented Communications and Networking for 6G, VTC2023-Fall, Hong Kong, Oct. 2023.

3. J. Zhang, “An Algorithmic Investigation of Hybrid Beamforming for 5G and Beyond Networks,” The IEEE Signal Processing Society Webinar, Aug 2020. [Slides]

4. J. Zhang, “Deep Learning for Wireless Networks – Which Model to Use?” IEEE International Conference on Signal, Information and Data Processing 2019, Chongqing, China, Dec 2019.

5. J. Zhang, “Mobility-Aware Caching for Content-Centric Wireless Networks,” IEEE/CIC International Conference on Communications in China, Chengdu, China, July 2016. [Slides]

Invited Talks

1. Task-oriented Communication for Edge AI

   1. 2023 BrainLink X-Lab Day: Semantic Communication for 6G, Pyeongchang, Korea, Nov. 2023.

   2. The Third Macao Conference on Smart City Technologies 2023, Macao, Nov. 2023.

   3. Huawei – IEEE ITSoc HK Joint Workshop on Semantic Information Theory 2022, May 2022. [Slides] [Video]

2. The Reasonable Effectiveness of Graph Neural Networks for Wireless Communications

   1. Huawei – HKUST Joint Workshop on Theory for Future Wireless, Sept. 2022. [Slides]

3. Machine Learning for Optimization in Dense Wireless Networks

   1. Fudan University, China, June 2019.

   2. Tsinghua University, China, June 2019.

   3. Shanghai Jiaotong University, China, May 2019.

   4. The University of Hong Kong, Hong Kong, Apr. 2019.

   5. Theory Lab, 2012 Labs, Huawei Technologies Co., Ltd., Hong Kong, Apr. 2019.

   6. Southeast University, China, April 2019.

4. From Mobile Edge Computing to Edge AI

   1. Tsinghua University, China, June 2019.

   2. Nanjing University of Post and Telecommunications, China, April 2019.

   3. Guangdong University of Technology, China, March 2019.

5. Dense Cooperative Wireless Networks for 5G [Slides]

   1. Nanjing University, China, Oct. 2018.

   2. Guangdong University of Technology, China, Aug. 2018.

   3. Hong Kong Polytechnic University, Hong Kong, Jul. 2018.

6. Cache Management for In-Memory Big Data Analytics [Slides]

   1. Nanjing University of Post and Telecommunications, China, Oct. 2018.

   2. Southeast University, China, Oct. 2018.

   3. Sun Yat-Sen University, China, Aug. 2018

7. Cloud and Edge Computing for Mobile Intelligence [Slides]

   1. Fudan University, China, Apr. 2018.

   2. Sun Yat-Sen University, China, Jan. 2018.

   3. ShanghaiTech University, China, Jan. 2018.

   4. The University of Hong Kong, Hong Kong, Jan. 2018.

   5. South University of Science and Technology of China, Shenzhen, China, Nov. 2017.

   6. Chinese University of Hong Kong, Hong Kong, Sept. 2017.

8. Resource Management for Mobile Edge Computing (MEC) [Slides]

   1. South China University of Technology, China, Aug. 2017.

   2. Guangdong University of Technology, China, Aug. 2017.

   3. Shanghai Jiao Tong University, China, Aug. 2017.

9. Hybrid Precoding for mm-Wave MIMO Systems: Algorithm Design and Hardware Implementation [Slides]

   1. Fudan University, China, Oct. 2017.

   2. Southeast University, China, May 2017.

10. A Tractable Framework for Dense Multi-Antenna Wireless Networks

    1. Tongji University, China, May 2017.

    2. Shanghai Advanced Research Institute, Chinese Academy of Science, July 2013.

11. Mobility-Aware Caching at the Wireless Edge

    1. Fudan University, China, Nov. 2016.

    2. ShanghaiTech University, China, Aug. 2016.

12. Cloud-RAN: A New Design Paradigm for Cooperative Wireless Network

    1. Australian National University, Canberra, Jun. 2014.

    2. Zhejiang University, Jan. 2014.

    3. Southeast University, Dec. 2013