My academic website has much more information.
Bio. I am currently a PhD Student at College of ISEE, Zhejiang University, China, working with Chunguang Li on Variational Bayesian Algorithms and their applications in Distributed Systems.
My Ph.D research work covers a range of issues: variational Bayesian inference, stochastic / distributed optimization, probabilistic graphical models, transfer learning, multitask learning and sensor networks.
Currently, I am interesting in varies approaches to deep learning (CNN, GAN, Deep Bayesian Learning, etc.) and their applications to computer vision (image processing, video analysis, etc.).
Education & Experience.
- 2013 - now: Ph.D. student, Circuits and Systems, Zhejiang University. Adviser: Chunguang Li.
- Summer 2012: C/C++ Engineer Internship at State Stree(Hangzhou).
- 2009-2013: Bachelor's Degree, double major in Computer Science and Automation, Zhejiang University of Technology. Adviser: Shengyong Chen.
Publications [Google scholar]
- Junhao Hua, Chunguang Li, Distributed Robust Kalman Filtering By Variational Bayesian Approximations, in preparing.
- Junhao Hua, Chunguang Li, Distributed Jointly Sparse Bayesian Learning with Quantized Communication, submitted to IEEE Transactions on Cybernetics, 2017.
- Junhao Hua, Chunguang Li, Hui-Liang Shen, Distributed Learning of Predictive Structures from Multiple Tasks Over Networks, IEEE Transactions on Industrial Electronics(TIE), preprint, DOI: 10.1109/TIE.2016.2588463.
- Junhao Hua, Chunguang Li, Distributed Variational Bayesian Algorithms over Sensor Networks, IEEE Transactions on Signal Processing (TSP), vol.64, no.3, pp.783-798, Feb. 2016.