教师

Heng
乔恒
助理教授
办公室 438
电话 +86-21-34206765 Ext. 4381
电子邮箱 heng.qiao@sjtu.edu.cn

教育背景

Ph.D. Electrical Engineering, University of California, San Diego, CA, USA (2019)
M.S. Electrical Engineering, University of Maryland, College Park, MD, USA (2016)
B.E. Electronic Engineering, Tsinghua University (2012)

工作经历

2020 – present Assistant Professor, UM-SJTU Joint Institute, Shanghai Jiao Tong University

荣誉奖励

  • Shannon Graduate Fellowship, University of California, San Diego (2019)
  • Qualcomm Fellow-Mentor-Advisor Fellowship (2018)
  • Best Student Paper Award (First Place), IEEE 42nd ICASSP, New Orleans, USA (2017)
  • Clark School of Engineering Distinguished Graduate Fellowship, University of Maryland, College Park, USA (2012)
  • Good Graduate Award, Tsinghua University (2012)

科研方向

  • Statistical Signal Processing, Array Signal Processing
  • High-Dimensional Statistics, Linear and Non-Linear Optimization
  • Compressed Sensing Theory and Algorithms

发表论文

  • H. Qiao, P. Pal. Guaranteed Localization of More Sources than Sensors with Finite Snapshots in Multiple Measurement Vector Models Using Difference Co-Arrays[J]. IEEE Transactions on Signal Processing, 2019, 67(22): 5715-5729.
  • Ali KoochakZadeh, H. Qiao, P. Pal. On Fundamental Limits of Joint Sparse Support Recovery Using Certain Correlation Priors[J]. IEEE Transactions on Signal Processing, 2018, 66(17): 4612-4625.
  • H. Qiao, P. Pal. Gridless Line Spectrum Estimation and Low-Rank Toeplitz Matrix Compression Using Structured Samplers: A Regularization-Free Approach[J]. IEEE Transactions on Signal Processing, 2017, 65(9): 2211-2226.
  • H. Qiao, P. Pal. On Maximum Likelihood Methods For Localizing More Sources than Sensors[J]. IEEE Signal Processing Letters, 2017, 24(5): 703-706.
  • H. Qiao, P. Pal. Generalized Nested Sampling for Compressing Low Rank Toeplitz Matrices[J]. IEEE Signal Processing Letters, 2015, 22(11): 1844-1848.
  • H. Qiao, P. Pal. Unified Analysis of Co-Array Interpolation for Direction-of-Arrival Estimation[C]. The 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 2017. [Best Student Paper Award, First Place]
  • H. Qiao, P. Pal. Understanding the Role of Positive Constraints in Sparse Bilinear Problems[C]. The 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, 2017. [Nominated for Best Student Paper Award Competition]
  • H. Qiao, P. Pal. Sparse Phase Retrieval with Near Minimal Measurements: A Structured Sampling Based Approach[C]. The 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016.
  • H. Qiao and P. Pal. Sparse Phase Retrieval Using Partial Nested Fourier Samplers[C]. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Orlando, FL, USA, 2015.
  • H. Qiao and P. Pal. Generalized Nested Sampling for Compression and Exact Recovery of Symmetric Toeplitz Matrix[C]. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, USA, 2014.

专业贡献

  • Reviewer for IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, IEEE Signal Processing Magazine, IEEE Signal Processing Letters, Signal Processing

所授课程

  • University of Maryland, College Park: Analog and Digital Circuits, Communication Systems, Information Theory
  • University of California, San Diego: Convex Optimization and Applications, Introduction to Linear and Nonlinear Optimization