Curriculum Vitae

Ph.D. in Electrical and Computer Engineering

Texas A&M University, TX

• Major in Information Science and Learning Systems
• Advised by Prof. Chao Tian
• GPA 4.0/4.0

M.S. in Electrical and Computer Engineering

University of California San Diego, CA

• Major in Communication Theory and Systems
• Advised by Prof. Xinyu Zhang

B.E. in Information Engineering

Southeast University, China

• Major in Information Engineering
• Advised by Prof. Cheng Zhang

• Sun Qingyun Scholarship, Southeast University

• 1st place in Mathematical Contest in Modeling (CUMCM)
• Mitsubishi Electric Corporation Scholarship, Southeast University

• Academic Records Scholarship, Southeast University

Deep Gaussian Process Research Assistant

Texas A&M University, College Station, TX

• A sparse expansion for deep Gaussian processes (DGPs) as BNNs
• Interpretability and uncertainty quantification on sparse DGPs
• Software designs and tutorials
  • Python and PyTorch based sparse DGP package
  • Benchmarks on regression, classification, generative tasks

Coding for Privacy Research Assistant

Texas A&M University, College Station, TX

• Code construction for weakly private information retrieval (PIR)
• Optimization for probability allocation of Weakly PIR code
• Heterogeneity in servers trustfulness
  • Maximal leakage (Max-L) mutual information (MI) metric
  • Sophisticated analysis of underlying convex optimization

mmWave Networking Research Assistant

Center of Wireless Communication, UC San Diego, CA

• RL-driven method for dynammic mmWave mesh configuration
• Bridging the Simulation-to-Reality gap in mmWave interference mapping
• Simulation and testbed evaluation
  • A software-defined mmWave mesh network
  • A mmWave mesh testbed using MikroTik hardware

Massive MIMO Research Assistant

Southeast University, Nanjing, China

• Precoding algorithms for massive MIMO downlink
• Complex-valued Gradient Neural Network (CVGNN) to solve complex matrices inversion
• Theoretical convergence and computation overhead evaluation of CVGNN

mmWave Research Assistant

Souteast University, Nanjing, China

• mmWave beam alignment and tracking (BA/T) formulation with stochastic bandit learning
• Greedy strategy and upper confidence bound (UCB) strategy for optimal beam searching