Xuanyu Cao（曹轩宇）

Assistant Professor

Department of Electronic and Computer Engineering

The Hong Kong University of Science and Technology

Clear Water Bay, Kowloon, Hong Kong

Email: eexcao@ust.hk

Address: 2445, Academic Building, HKUST, Clear Water Bay, Kowloon, Hong Kong

 

Recruitment:

u I am looking for self-motivated PhD students with strong mathematical background.

u I am looking for a Postdoctoral Fellow to work on distributed/online optimization, communication-efficient distributed learning, federated learning, and other related areas. Candidates should have published papers in relevant top-tier venues.

 

Biography:

Since October 2021, I have been an assistant professor with the Department of Electronic and Computer Engineering at The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong. From August 2017 to October 2021, I was successively a postdoctoral research associate with the Department of Electrical Engineering at Princeton University (advisors: H. Vincent Poor and Junshan Zhang), and the Coordinated Science Lab at the University of Illinois, Urbana-Champaign (advisor: Tamer Başar). I received the M.S. and Ph.D. in Electrical Engineering from the University of Maryland, College Park, in 2016 and 2017, respectively, under the supervision of K. J. Ray Liu. Prior to that, I got a B.S. in Electrical Engineering from Shanghai Jiao Tong University, Shanghai, China, in 2013.

Research interests:

l  Distributed/online optimization

l  Communication-efficient distributed learning

l  Federated learning

l  Network economics

Journal Papers and Selected Conference Papers

1.   Fei Han, Xuanyu Cao, and Yi Gong, “Decentralized stochastic optimization with pairwise constraints and variance reduction”, IEEE Trans. on Signal Processing, vol. 72, pp. 1960-1973, 2024.

2.  Wenjing Yan and Xuanyu Cao, “Decentralized multi-task online convex optimization under random link failures”, IEEE Trans. on Signal Processing, vol. 72, pp. 622-635, 2024.

3.  Navjot Singh, Xuanyu Cao, Suhas Diggavi, and Tamer Başar, “Decentralized multi-task stochastic optimization with compressed communications”, Automatica (regular paper), vol. 159, article 111363, 2024.

4.  Kai Zhang and Xuanyu Cao, “Online power control for distributed multitask learning over noisy fading wireless channels”, IEEE Trans. on Signal Processing, vol. 71, pp. 3679-3694, 2023.

5.  Wenjing Yan and Xuanyu Cao, “Zero-regret performative prediction under inequality constraints”, Conference on Neural Information Processing Systems (NeurIPS), 2023.

6.  Xuanyu Cao and Tamer Başar, “Decentralized online convex optimization with compressed communications”, Automatica (regular paper), vol. 156, article 111186, 2023.

7.  Xuanyu Cao, Tamer Başar, Suhas Diggavi, Yonina C. Eldar, Khaled B. Letaief, H. Vincent Poor, and Junshan Zhang, “Communication-efficient distributed learning: An overview”, IEEE Journal on Selected Areas in Communications, vol. 41, no. 4, pp. 851-873, 2023.

8.  Xuanyu Cao and Tamer Başar, “Distributed constrained online convex optimization over multiple access fading channels”, IEEE Trans. on Signal Processing, vol. 70, pp. 3468-3483, 2022.

9.  Wenjing Yan, Xiaojun Yuan, and Xuanyu Cao, “Frequency reflection modulation for reconfigurable intelligent surface aided OFDM systems”, IEEE Trans. on Wireless Communications, vol. 21, no. 11, pp. 9381-9393, 2022.

10.  Xuanyu Cao and Tamer Başar, “Decentralized online convex optimization with feedback delays”, IEEE Trans. on Automatic Control (regular paper), vol. 67, no. 6, pp. 2889-2904, 2022.

11.   Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “Constrained online convex optimization with feedback delays”, IEEE Trans. on Automatic Control (regular paper), vol. 66, no. 11, pp. 5049-5064, 2021.

12.  Xuanyu Cao and Tamer Başar, “Decentralized online convex optimization based on signs of relative states”, Automatica (regular paper), vol. 129, article 109676, 2021.

13.  Xuanyu Cao and Tamer Başar, “Decentralized online convex optimization with event-triggered communications”, IEEE Trans. on Signal Processing, vol. 69, pp. 284-299, 2021.

14.  Xuanyu Cao, Junshan Zhang, H. Vincent Poor, and Zhi Tian, “Differentially private ADMM for regularized consensus optimization”, IEEE Trans. on Automatic Control, vol. 66, no. 8, pp. 3718-3725, 2021.

15.  Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “Online stochastic optimization with time-varying distributions”, IEEE Trans. on Automatic Control, vol. 66, no. 4, pp. 1840-1847, 2021.

16.  Xuanyu Cao and K.J. Ray Liu, “Distributed Newton’s method for network cost minimization”, IEEE Trans. on Automatic Control, vol. 66, no. 3, pp. 1278-1285, 2021.

17.  Xuanyu Cao and Tamer Başar, “Decentralized multi-agent stochastic optimization with pairwise constraints and quantized communications”, IEEE Trans. on Signal Processing, vol. 68, pp. 3296-3311, 2020.

18.  Xuanyu Cao and K.J. Ray Liu, “Dynamic sharing through the ADMM”, IEEE Trans. on Automatic Control, vol. 65, no. 5, pp. 2215-2222, 2020.

19.  Xuanyu Cao and K.J. Ray Liu, “Online convex optimization with time-varying constraints and bandit feedback”, IEEE Trans. on Automatic Control (regular paper), vol. 64, no. 7, pp. 2665-2680, 2019.

20. Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “Data center demand response with on-site renewable generation: a bargaining approach”, IEEE/ACM Trans. on Networking, vol. 26, no. 6, pp. 2707-2720, 2018.

21.  Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “Joint energy procurement and demand response towards optimal deployment of renewables”, IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 4, pp. 657-672, 2018.

22. Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “A virtual-queue-based algorithm for constrained online convex optimization with applications to data center resource allocation”, IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 4, pp. 703-716, 2018.

23. Xuanyu Cao and K.J. Ray Liu, “Distributed linearized ADMM for network cost minimization”, IEEE Trans. on Signal and Information Processing over Networks, vol. 4, no. 3, pp. 626-638, 2018.

24. Xuanyu Cao and K.J. Ray Liu, “Decentralized sparse multitask RLS over networks”, IEEE Trans. on Signal Processing, vol. 65, no. 23, pp. 6217-6232, 2017.

25. Xuanyu Cao, Yan Chen, and K.J. Ray Liu, “Data trading with multiple owners, collectors and users: an iterative auction mechanism”, IEEE Trans. on Signal and Information Processing over Networks, vol. 3, no. 2, pp. 268-281, 2017.

26. Xuanyu Cao and K.J. Ray Liu, “A graphical evolutionary game approach to social learning”, IEEE Signal Processing Letters, vol. 24, no. 6, pp. 765-769, 2017.

27. Xuanyu Cao, Yan Chen, and K.J. Ray Liu, “Understanding popularity dynamics: decision-making with long-term incentives”, IEEE Trans. on Signal and Information Processing over Networks, vol. 3, no. 1, pp. 91-103, 2017.

28. Xuanyu Cao, Jinbei Zhang, Luoyi Fu, Weijie Wu, and Xinbing Wang, “Optimal secrecy capacity-delay tradeoff in large-scale mobile ad hoc networks”, IEEE/ACM Trans. on Networking, vol. 24, no. 2, pp. 1139-1152, 2016.

29. Xuanyu Cao, Yan Chen, Chunxiao Jiang, and K.J. Ray Liu, “Evolutionary information diffusion over heterogeneous social networks”, IEEE Trans. on Signal and Information Processing over Networks, vol. 2, no. 4, pp. 595-610, 2016.

30. Xuanyu Cao, Yan Chen, and K.J. Ray Liu, “A data analytic approach to quantifying scientific impact”, Journal of Informetrics, vol. 10, no. 2, pp. 471-484, 2016.

31.  Xuanyu Cao, Yan Chen, and K.J. Ray Liu, “Cognitive radio networks with heterogeneous users: how to procure and price the spectrum?”, IEEE Trans. on Wireless Communications, vol. 14, no. 3, pp. 1676-1688, 2015.

32. Xuanyu Cao, Xinbing Wang, and Songwu Lu, “Function computation over heterogeneous wireless sensor networks”, IEEE Trans. on Parallel and Distributed Systems, vol. 25, no. 7, pp. 1756-1766, 2014.

33. Xuanyu Cao, Feng Yang, Xiaoying Gan, Jing Liu, Liang Qian, Xiaohua Tian, and Xinbing Wang, “Joint estimation of clock skew and offset in pairwise broadcast synchronization mechanism”, IEEE Trans. on Communications, vol. 61, no. 6, pp. 2508-2521, 2013.

Book Chapters

1.   Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “Mobile edge caching: an optimal auction approach”, in Edge Caching for Mobile Networks, edited by Wei Chen and H. Vincent Poor, IET Press, 2021, to appear.

Other Conference Papers

1.   Xuanyu Cao and Tamer Başar, “Differentially private parameter estimation: optimal noise insertion and data owner selection”, IEEE CDC, Jeju Island, Republic of Korea, 2020.

2.  Xuanyu Cao and Tamer Başar, “Decentralized multitask recursive least squares with local linear constraints”, Asilomar, Pacific Grove, CA, 2020.

3.  Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “Impact of delays on constrained online convex optimization”, Asilomar, Pacific Grove, CA, 2019.

4.  Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “On the time-varying distributions of online stochastic optimization”, ACC, Philadelphia, 2019.

5.  Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “An optimal auction mechanism for mobile edge caching”, IEEE ICDCS, Vienna, Austria, 2018.

6.  Xuanyu Cao and K.J. Ray Liu, “An ADMM approach to dynamic sharing problems”, CISS, Princeton, NJ, 2018.

7.  Xuanyu Cao and K.J. Ray Liu, “Generic network cost minimization: a decentralized Newton’s method”, CISS, Princeton, NJ, 2018.

8.  Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “Optimal renewable penetration in energy procurement and demand response”, IEEE ICC, Kansas City, 2018.

9.  Xuanyu Cao, Junshan Zhang, and H. Vincent Poor, “A novel online convex optimization algorithm based on virtual queues”, IEEE ICC, Kansas City, 2018.

10.  Xuanyu Cao and K.J. Ray Liu, “On the time-varying constraints and bandit feedback of online convex optimization”, IEEE ICC, Kansas City, 2018.

11.   Xuanyu Cao and K.J. Ray Liu, “Distributed efficient optimization for general network cost minimization problems”, IEEE ICC, Kansas City, 2018.

12.  Xuanyu Cao, Yan Chen, and K.J. Ray Liu, “An iterative auction mechanism for data trading”, IEEE ICASSP, New Orleans, 2017.

13.  Xuanyu Cao, Yan Chen, and K.J. Ray Liu, “A game-theoretic modeling of popularity dynamics”, IEEE GlobalSIP, Greater Washington, D.C., 2016.

14.  Xuanyu Cao, Yan Chen, and K.J. Ray Liu, “Community detection game”, IEEE ICASSP, Shanghai, 2016.

15.  Xuanyu Cao, Yan Chen, Chunxiao Jiang, and K.J. Ray Liu, “An evolutionary game-theoretic modeling for heterogeneous information diffusion”, IEEE GlobalSIP, Atlanta, 2014.

16.  Xuanyu Cao, Yan Chen, and K.J. Ray Liu, “Spectrum trading in heterogeneous cognitive radio networks”, IEEE GlobalSIP, Atlanta, 2014.

17.  Xuanyu Cao, Jinbei Zhang, Guanglin Zhang, Luoyi Fu, and Xinbing Wang, “Heterogeneous multicast networks with wireless helping networks”, WASA, Yellow Mountains, China, 2012.

Teaching

ELEC 2100: Signals and Systems (S’22, F’22, F’23)

ELEC 5470: Convex Optimization (S’23, S’24)

Professional Memberships and Services

n  IEEE Senior Member, since 2020

n  Lead Guest Editor for IEEE Journal on Selected Areas in Communications, special issue on Communication-Efficient Distributed Learning over Networks, 2023

n  Editor for IEEE Transactions on Wireless Communications (since 2022) and IEEE Transactions on Vehicular Technology (since 2021)

n  TPC Member for ACM MobiHoc 2022, 2023, 2024

n  Reviewer for IEEE Trans. on Automatic Control, Automatica, SIAM Journal on Control and Optimization, Operations Research, IEEE Trans. on Signal Processing, IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE/ACM Trans. on Networking, IEEE Journal on Selected Areas in Communications, etc.