About Me

• I joined Shenzhen research institute of big data (SRIBD), associated with the Chinese University of Hong Kong, Shenzhen, as a research scientist (Associate Research Fellow).

• My research interests lie in the general area of machine learning and wireless communication, particularly in learning theory, high-dimensional data analysis, non-convex optimization and applications in the future wireless network optimization.

• I received my Ph.D. degree in the Electronic and Computer Engineering (ECE) Department at HKUST, supervised by Prof. Vincent LAU in 2022. Before that, I received my Bachelor’s Degree in Information Science and Technology, enrolled in the Advanced Class for Leading Professionals in Engineering in Chien-Shiung Wu Honor College ¹, Southeast University.

Openings: WE WANT YOU!

We are actively looking for Ph.D. students who are self-motivated and have a strong background in mathematics, machine learning, and wireless communications (joint Ph.D. program with Chinese University of Hong Kong, Shenzhen. More details can be found here). We also welcome applications of Post-Doctoral Researchers, and Visiting Students (highly competitive salary can be offered).

Please feel free to drop me an email with your CV, transcript, awards and publications (if any).

Note: please make your email subject as Name-School-Major-PhD application.

Recent News

• June 2023. Our paper “Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation” has been accepted by IEEE Transactions on Signal Processing. [paper][Arxiv]
• March 2023. We are organizing DTMS 2023-International Workshop on Digital Twin-Empowered Mobile Networks, Systems and Applications, colocated with MobiSys 2023.
• Jan 2023. Our paper “Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC” has been accepted by ICC 2023.[paper]

Selected Publications

• Learning Theory (Statistic + Optimization)
  • Ye Xue, V. K. N. Lau and S. Cai, “Efficient Sparse Coding Using Hierarchical Riemannian Pursuit,” in IEEE Transactions on Signal Processing, vol. 69, pp. 4069-4084, 2021, doi: 10.1109/TSP.2021.3093769.[paper] [code]
  • Ye Xue*, Yifei Shen*, Jun Zhang, Khaled B. Letaief, Vincent Lau, “Complete Dictionary Learning via ℓ_p-norm Maximization”, in Proc. Conf. Uncertainty in Artif. Intell. (UAI), vol. 124. Virtual: PMLR, 03–06 Aug 2020, pp. 280–289. [paper] [code] [slides] [presentation]
• Learning Theory (Optimization)
  • Ye Xue and V. K. N. Lau, “Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method,” in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3131181. [paper] [Arxiv][code]
• Machine Learning for Communication
  • Ye Xue, Yifei Shen, Vincent Lau, Jun Zhang, and Khaled B. Letaief, “Blind data detection in massive MIMO via ℓ₃-norm maximization over the Stiefel manifold,” in IEEE Transactions on Wireless Communication, vol. 20, no. 2, pp. 1411-1424, Feb. 2021, doi: 10.1109/TWC.2020.3033699. [paper][code]
• MIMO Communication
  • Ye Xue*, Xuanyu Zheng* and Vincent Lau, “Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems,” in Journal of Communications and Information Networks (cover paper), vol. 5, no. 2, pp. 177-193, June 2020. [paper]
  • C. Zhang, J. Jin, Y. Xue, X. Tan, C. Studer, Z. Zhang, X. You, “Efficient Pre-Conditioned Descent Search Detector for Massive MU-MIMO,” in IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 4663-4676, May 2020, doi: 10.1109/TVT.2020.2975878. [paper]
  • Chuan Zhang, Ye Xue, Xiaohu You, “ MIMO linear iteraction detection method extensive under non-ideal communication channel”, CN Patent, CN106357309B issued June 21, 2019. [patent]
  • Ye Xue, Zhizhen Wu, Junmei Yang, Shunqing Zhang, Zaichen Zhang, Xiaohu You, Chuan Zhang, “Adaptive Preconditioned Iterative Linear Detection and Architecture for Massive MU-MIMO Uplink”, Journal of Signal Processing Systems (2018) 90:1453–1467. [paper]

[* denotes equal contribution]

Academic Services

• Reviewer: IEEE Transactions on Signal Processing, IEEE Internet of Things Journal, IEEE Transactions on Wireless Communication, IEEE Transactions on Circuits and Systems II, Electronics Letters, Globecom 2018, 2021, ICC 2018, APCC 2018, ISCAS 2016.
• Volunteer: ICLR 2020, ICML 2020, NeurIPS 2020, NeurIPS 2021

Teaching

• Teaching assistant:
  • ELEC 2100: Signals and Systems
  • ELEC 5460: Advanced Stochastic Optimization for Wireless Systems
  • ELEC 1200: A System View of Communications: from Signals to Packets
  • EESM 6980G/H: MSc Project Telecom

Industrial Project

• Federated Learning in Wireless Communication (12/2021-)
• High Spectral Efficiency Wireless Backhaul with LoS MIMO (09/2018-09/2019)
  • Phase noise model and generation
  • QoE-constraint transceiver design
  • Achievable performance analysis to provide a guideline of the project
  • System-level transceiver simulation platform
  • Project slides and project report
• Enhanced MU-MIMO 802.11ax (WiFi 6) (05/2020-11/2020) Patent submit
  • High-accuracy and low-complexity channel estimation fo large-scale OFDMA system
  • Low-complexity robust transceiver design for the large-scale MU-MIMO-OFDMA system

Selected Award

• 2017 HKUST Postgraduate Studentships
• 2017 First Prize of Excellent BSc Thesis of Jiangsu Province
• 2016 Baosteel Scholarship
• 2015 Young Scholar Awards by Microsoft Research Asian
• 2015 3rd place of RoboCup,Kidsize,China； 2nd place of RoboCup, Kidsize Challenge, China

Links

• Find the codes of machine learning in wireless communication [here].
• My husband Dr. Kaixuan Wang is working on cutting-edge applications in autonomous driving industry. Check out his [webpage].

¹ Chien-Shiung Wu College (honor) selects top 5% students in EE&CS field with an enrollment test, and the Advanced Class is made up of the top 30 elites of the selected students, offering extensive and demanding EE&CS courses in the first two years of undergraduate study.