Hao Wang, Assistant Professor

Hao Wang, Assistant Professor

Tel:  (021) 20685389
Email: wanghao1@shanghaitech.edu.cn
Office: Room 1A-404A, SIST Building
Major: CS
Education: Ph.D., Lehigh University, USA


  • Nonlinear Optimization

  • Machine Learning


Dr. Hao Wang obtained his Ph.D. degree in Industrial Engineering, Lehigh University, USA in May 2015, and received his Bachelor's and Master's degree in Mathematics, Beihang University (BUAA) in 2010 and 2007, respectively. He has participated in research internship opportunities at ExxonMobil Corporate Strategic Research Lab, Mitsubishi Electric Research Lab, and GroupM R&D Department during his Ph.D. study. Hao has worked in the area of nonlinear optimization and machine learning. His research has been published in the top journal SIAM Journal on Optimization. His current interests include penalty methods, inexact algorithms, regularization problems and many other machine learning problems. Dr. Hao Wang joined School of Information Science and Technology at ShanghaiTech University as an Assistant Professor, PI in March 2016.


Published Journal Articles

  1. Hao Wang, Fan Zhang, Jiashan Wang, Yuyang Rong. “An Inexact First-Order Method for Constrained Nonlinear Optimization”, accepted by Optimization Methods and Software, https://arxiv.org/abs/1809.06704.

  2. Fan Zhang, Hao Wang, Jiashan Wang, Kai Yan, “Inexact Primal-Dual Gradient Projection Methods for Nonlinear Optimization on Convex Set”, to appear on Optimization, https://arxiv.org/abs/1911.07758.

  3. Yang Liu, Jing Li, Hao Wang. “Robust Beamforming in Wireless Sensor Networks”, IEEE Transactions on Communications, vol. 67, no. 6, pp. 4450-4463, June 2019. https://ieeexplore.ieee.org/abstract/document/8660565.

  4. Qiong Wu, Fan Zhang, Hao Wang∗, Jun Lin, Yang Liu. “Parameter-free lp-Box Decoding of LDPC Codes”, IEEE Communications Letters, vol. 22, no. 7, pp. 1318-1321, Jul. 2018. https://ieeexplore.ieee.org/abstract/document/8352866.

  5. James V. Burke, Frank E. Curtis, Hao Wang, J. Wang. “Iterative Reweighted Linear Least Squares for Exact Penalty Subproblems on Product Sets”, SIAM Journal on Optimization, vol. 25, no. 1, pp. 261-294, Jan. 2015.

  6. James V. Burke, Frank E. Curtis, Hao Wang. “A Sequential Quadratic Optimization Algorithm with Fast Infeasibility Detection”, SIAM Journal on Optimization, vol. 24, no. 2, pp. 839-872, Jun. 2014.

  7. Hao Wang, Hongying Liu, Yong Xia. “Two-point Step Size Iterative Soft-thresholding Method for Sparse Reconstruction”, International Journal for Computer Mathematics, vol. 88, no. 12, pp. 2527-2537, Aug. 2010.

  8. Hao Wang, Hongying Liu, Yong Xia. “Two-step Version of the Fixed Point Continuation Method for Sparse Reconstruction”, Frontiers of Mathematics in China, vol. 5, no. 3, pp. 575-588, Sep. 2010.

Published Conference Articles 

  1. S. Hua, X. Yang, K. Yang, G. Yin, Y. Shi and H. Wang, “Deep Learning Tasks Processing in Fog-RAN,” 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), Honolulu, HI, USA, 2019, pp. 1-5.

  1. T. Jiang, X. Yang, Y. Shi and H. Wang, “Layer-wise Deep Neural Network Pruning via Iteratively Reweighted Optimization,” ICASSP 2019 -2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 5606-5610.

  2. Jie Lu, Xuyang Wu, Hejie Wei, Hao Wang, “Distributed Second-Order Methods for Con- vex Optimization Over Networks,” the proceedings of the 15th International Conference on Control, Automation, Robotics and Vision, (ICARCV), Singapore, 2018.

  3. Fan Zhang, Qiong Wu, Hao Wang, Yuanming Shi. “Topological interference alignment via generalized low-rank optimization with sequential convex approximations,” in Proc. IEEE Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC), Kalamata, Greece, Jun. 2018.

  4. Fan Zhang, Qiong Wu, Hao Wang, Yuanming Shi. “lp-Box Optimization for Green Cloud- RAN via Network Adaptation”, in Pro. IEEE Veh. Technol. Conf. (VTC), Chicago, USA, Aug. 2018.

  5. Q. Wu, F. Zhang, H. Wang and Y. Shi, “Generalized Low-Rank Matrix Completion via Non- convex Schatten p-Norm Minimization,” 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, IL, USA, 2018, pp. 1-5.