Life is about exploring

I am a PhD fellow in Audio Analysis Lab​ at Aalborg University, Denmark. I work in multi-discipline including distributed signal processing, secure multiparty computation, privacy and security. I am currently working on 'Secure and Privacy-Preserving distributed processing' under supervision of Professor Mads Græsbøll Christensen and Professor Richard Heusdens.

From Sep. 2019 to Dec. 2019, I visited CAS group in TUDelft as a visiting PhD.

Here is my CV, 中文简历

Email: qili[at]create.aau.dk, qiongxiuli[at]outlook.com

Current project

Sensing the world without violating privacy

Driven by the concern of private data abuse in the current 'Big Data' word. I am currently working on a very interesting project called 'SECURE' (Secure Estimation and Control Using Recursion and Encryption) at Aalborg University, Denmark. It is an interdisciplinary project that requires techniques from distributed optimization, information theory, statistics, differential privacy, cryptography, security, and more. My main research focus is to design privacy-preserving protocols for distributed processing over networks. I am particularly interested in computationally efficient solutions for practical scenarios such as resource-constrained wireless sensor networks.

News

Publications

Journals

  1. Qiongxiu Li, Richard Heusdens, and Mads Græsbøll Christensen. "Communication Efficient Privacy-Preserving Distributed Optimization using Adaptive Differential Quantization ." (submitted), 2020, [Preprint]

  2. Qiongxiu Li, Jaron Skovsted Gundersen, Richard Heusdens, and Mads Græsbøll Christensen. "Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms." IEEE. Trans. on Information Forensics and Security, 2021, [Link]

  3. Qiongxiu Li, Richard Heusdens, and Mads Græsbøll Christensen. "Privacy-Preserving Distributed optimization via Subspace Perturbation: A General Framework." IEEE. Trans. on Signal Processing, 2020, [link]

Conferences

  1. Qiongxiu Li, Richard Heusdens, and Mads Græsbøll Christensen. "Privacy-Preserving Distributed Least Squares via Subspace Perturbation." EUSIPCO, 2020.

  2. Qiongxiu Li, Mario Coutino, Geert Leus and Mads Græsbøll Christensen. "Privacy-Preserving Distributed Graph Filtering." EUSIPCO, 2020.

  3. Qiongxiu Li, Richard Heusdens, and Mads Græsbøll Christensen. "Covex Optimisation-based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks." ICASSP, 2020. [PDF]

  4. Qiongxiu Li, Ignacio Cascudo, and Mads Græsbøll Christensen. "Privacy-Preserving Distributed Average Consensus based on Additive Secret Sharing." EUSIPCO, 2019. [PDF]

  5. Qiongxiu Li, and Mads Græsbøll Christensen. "A Privacy-Preserving Asynchronous Averaging Algorithm based on Shamir’s Secret Sharing." EUSIPCO, 2019. [PDF]

Presentations & Talks

  • Qiongxiu Li, "Privacy-Preserving Distributed Signal Processing", 3 minute thesis (3MT) winning presentation, EUSIPCO 2020.



  • Qiongxiu Li, Mario Coutino, Geert Leus and Mads Græsbøll Christensen. "Privacy-Preserving Distributed Graph Filtering." EUSIPCO, 2020.


  • Qiongxiu Li, Richard Heusdens, and Mads Græsbøll Christensen. "Covex Optimisation-based Privacy-Preserving Distributed Least Squares via Subspace Perturbation." EUSIPCO, 2020.


  • Qiongxiu Li, Richard Heusdens, and Mads Græsbøll Christensen. "Covex Optimisation-based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks." ICASSP, 2020.

  • Qiongxiu Li, Ignacio Cascudo, and Mads Græsbøll Christensen. "Privacy-Preserving Distributed Average Consensus based on Additive Secret Sharing." EUSIPCO, 2019.

  • Qiongxiu Li, and Mads Græsbøll Christensen. "A Privacy-Preserving Asynchronous Averaging Algorithm based on Shamir’s Secret Sharing." EUSIPCO, 2019.


Teaching

Distributed optimization

  • Teaching: Giving guest lecture on advanced topics in distributed optimization [Nov. 2018]

  • Lecture title: Distributed and secure computation- Applications of secure MPC protocols

  • Program: PhD students

  • Aalborg University, Denmark