Tsung-Hui Chang

Research

Tsung-Hui Chang
Title:

Professor, Associate Dean (Education)

Education Background:
National Tsing Hua University, Hsinchu, Taiwan
PhD in Communications Engineering, 2008
BSc in Electrical Engineering, 2003
Office Address

Room 510, Cheng Dao Bldg.,

Phone

86 755 8427 3815

Research

Signal Processing, Optimization, Data Communications, Machine Learning

Research List

General research interests are the applications of signal processing and optimization theories to data communications, machine learning and big data analysis.

My Google Scholar profile

Selected Publications

(1) Distributed Optimization/Optimization for Machine Learning

10. Z. Wang, J. Zhang, J. Li, T.-H. Chang, Z.-Q. Luo, "Distribtued stochastic consensus optimization with momentum for non-convex non-smooth problems," submitted for publication, 2020.

9. S. Wang and T.-H. Chang, "Federated matrix factorization: Algorithm design and application to data clustering," submitted for publication, 2020.

8. S. Wang, T.-H. Chang, Y. Cui and J.-S. Pang, "Clustering by orthogonal NMF model and non-convex penalty optimization," submitted for publication, 2020.

7. T.-H. Chang*, M. Hong*, H.-T. Wai*, X. Zhang and S, Lu, "Distributed learning in the non-convex world: From batch to streaming data and beyond," IEEE Signal Process. Mag., 2020 (* equal contribution)

6. M. Hong and T. -H. Chang, “ Stochastic Proximal Gradient Consensus Over Random Networks," IEEE Trans. Signal Process., vol. 65, no. 11, pp. 2933-2948, June 2017. 

5. T.-H. Chang," A proximal dual consensus ADMM method for multi-agent constrained optimization ", IEEE Trans. Signal Process., vol. 64, no. 14, pp. 3719-3734, July 2016.

4. T.-H. Chang, W.-C. Liao, M. Hong and X. Wang," Asynchronous Distributed ADMM for Large-Scale Optimization PartII: Linear Convergence Analysis and Numerical Performance ", IEEE Trans. Signal Process., vol. 64, no. 12, pp. 3131-3144, June 2016.

3. T.-H. Chang, M. Hong, W.-C. Liao and X. Wang," Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis,” IEEE Trans. Signal Process., vol. 64, no. 12, pp. 3118-3130, June 2016.

2. T.-H. Chang, M. Hong and X. Wang," Multi-agent distributed optimization via inexact consensus ADMM ”, IEEE Trans. Signal Process., vol. 63, no. 2, pp. 482-497, Jan. 2015.  (2021 IEEE SPS Best Paper Award, ESI Highly Cited Paper) 

1. T.-H. Chang, A. Nedich, and A. Scaglione," Distributed constrained optimization by consensus-based primal-dual perturbation method ”, IEEE Trans. Automatic Control, vol. 59, no. 6, pp. 1524-1538, June 2014.  (ESI Highly Cited Paper) 

(2) UAV Communications

3. L. Li, T.-H. Chang and S. Cai, "UAV Positioning and Power Control for Two-Way Wireless Relaying,IEEE Trans. Wireless Commun., vol. 19, no. 2, 1008-1024, Feb. 2020.

2. C. Shen, T.-H. Chang, J. Gong, Y. Zeng and R. Zhang," Multi-UAV Interference Coordiation via Joint Trajectory and Power Control," IEEE Trans. Signal Process., vol. 68, pp. 843-858, Jan. 2020

1. Jie Gong, T. -H. Chang, Chao Shen and Xiang Chen, “ Flight Time Minimization of UAV for Data Collection over Wireless Sensor Networks," IEEE J. Sel. Area Commun. , vol. 36, no. 10, 1-13, Oct. 2018.   (ESI Highly Cited Paper) 


(3) Transmit Beamforming Optimization

6. M. Zhu, T. -H. Chang, and M. Hong, "Learning to beamform in heterogeneous massive MIMO networks,submitted for publication, 2020.

5. T.-H. Chang, Y.-F. Liu and S.-C. Lin, “ QoS-Based Linear Transceiver Optimization for Full Duplex Multi-User Communications,” IEEE Trans. Signal Process., vol. 66, no. 9, pp. 2300-2313, May. 2018. 

4. K.-Y. Wang, A. M.-C. So, T.-H. Chang, W.-K. Ma and C.-Y. Chi," Outage constrained robust transmit optimization for multiuser MISO downlinks: Tractable approximations by conic optimization ", IEEE Trans. Signal Process., vol. 62, no. 21, pp. 5690-5705, Nov. 2014. (2018 IEEE SPS Best Paper Award, ESI Highly Cited Paper)

3. W.-C.Li, T.-H. Chang, Che Lin and C.-Y.Chi," Coordinated beamforming for multiuser MISO interference channel under rate outage constraints ", IEEE Trans. Signal Process., vol. 61, no. 5, pp. 1087-1103, March 2013.

2. C. Shen, T. -H. Chang, K. -Y. Wang, Zhengding Qiu and C. -Y. Chi, " Distributed robust multicell coordinated beamforming with imperfect CSI: An ADMM approach," IEEE Trans. Signal Process. , vol. 60. no. 6, pp. 2988-3003, June 2012.

1. T.-H. Chang, Z.-Q. Luo and C.-Y. Chi," Approximation bounds for semidefinite relaxation of Max-Min-Fair multicast transmit beamforming problem ", IEEE Trans. Signal Process., vol. 56, no. 8, pp. 3932-3943, August 2008.

(4) Physical-Layer Security

1. W.-C. Liao, T.-H. Chang, W.-K. Ma, and C.-Y. Chi," QoS-based transmit beamforming in the presence of eavesdroppers: Anoptimized artificial-noise-aided approach ", IEEETrans. Signal Process., vol. 59, no. 3, pp. 1202-1216, March 2011.  (ESI Highly Cited Paper)

2. T.-H. Chang, W.-C. Chiang, Y.-W. Peter Hong, and C.-Y. Chi," Training sequence design for discriminatory channel estimation in wireless MIMO systems ", IEEE Trans. Signal Process., vol. 58, no. 12, pp. 6223-6237, Dec. 2010.

(5) Smart Grid Control

1. S.-C. Tsai, Y.-H. Tseng and T.-H. Chang, " Communication-efficient distributed demand response: A randomized ADMM approach,” IEEE Trans. Smart Grid, vol. 8, no. 3, pp. 10851095, May 2017.

2. T.-H. Chang, M. Alizadeh, and A. Scaglione," Real-time power balancing via decentralized coordinated home energy scheduling ", IEEE Trans. Smart Grid, vol. 4, no. 3, pp. 1490-1504, Sept. 2013.