Chao Zhang                                                                                     

Associate Professor

School of Mathematical Sciences

Dalian University of Technology

Dalian, Liaoning, 116024, China.

Email: zhangchao1015@gmail.com;chao.zhang@dlut.edu.cn                                                                                                                                                                         








Biography
  • I received my Bachelors and PhD degrees from Department of Applied Mathematics, Dalian University of Technology (Dalian, China) in 2004 and 2009, respectively.
  • From Mar-2008 to Aug-2008, I was a intern at Bell Labs (Beijing, China).
  • From 2009 to 2011, I was a Research Fellow at the School of Computer Engineering, Nanyang Technological University (Singapore). 
  • From 2012-2013, I pursued the Post-Doctoral program at the Center for Evolutionary Medicine and Informatics, Biodesign Institute, Arizona State University (Tempe, US).
  • From 2013 to now, I am an associate professor at the School of Mathematical Sciences, Dalian University of Technology, Dalian, Liaoning, China.
  • Reviewer for the journals: Neural Computing and Applications; Neural Processing Letters; Neurocomputing; IEEE Transactions on Neural Networks and Learning Systems; Computational Statistics & Data Analysis;  IEEE Signal Processing Letters.
     
Research Interests:

Neural Networks; Machine Learning; Statistical Learning Theory; Empirical Processes; Stochastic Processes; Transfer Learning & Multitask Learning; Functional Data Analysis, etc.

Publications:

  1. Chao Zhang, Wei Wu and Yan Xiong. Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks. Neural Processing Letters,  vol. 26, no. 3, pp177-189, 2007. 
  2. Chao Zhang, Wei Wu, Xianhua Chen and Yan Xiong. Convergence of BP Algorithm for Product Unit Neural Networks with Exponential Weights. Neurocomputing, vol. 72, no. 1-3, pp. 513–520, 2008.
  3. Chao Zhang, Jie Yang and Wei Wu. Binary Higher-Order Neural Networks for Realizing Boolean Functions. IEEE Transactions on Neural Networks,  vol. 22, no. 5, pp. 701 - 713, 2011.
  4. Chao Zhang and Dacheng Tao. Risk Bounds for Levy Processes in the PAC-Learning Framework. AISTATS 2010. 
  5. Chao Zhang and Dacheng Tao. Error bounds for real function classes based on discretized Vapnik-Chervonenkis dimensions. Australian J. Intell. Inform. Process. Syst. Mach. Learn. Appl. I, vol. 12, no. 3, 2010.
  6. Chao Zhang and Dacheng Tao. Generalization Bound for Infinitely Divisible Empirical Process. AISTATS 2011. 
  7. Chao Zhang and Dacheng Tao. Risk Bounds for Infinitely Divisible Distribution. UAI 2011.
  8. Chao Zhang, Wei Bian, Dacheng Tao and Weisi Lin. Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes. IEEE Transactions on Neural Networks and Learning Systems,  vol. 23, no. 9, pp. 1461 - 1472, 2012.
  9. Chao Zhang and Dacheng Tao. Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains. IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 12, pp. 1872 - 1883, 2012. [Correction Version]
  10. Chao Zhang, Lei Zhang and Jieping Ye. Generalization Bounds for Domain Adaptation. NIPS 2012. [PDF][Rademacher Version in arXiv]
  11. Chao Zhang and Dacheng Tao. Risk Bounds of Learning Processes for Lévy Processes, Journal of Machine Learning Research, vol. 14,  pp. 351−376, 2013.
  12. Chao Zhang and Dacheng Tao. Structure of Indicator Function Classes with Finite Vapnik-Chervonenkis Dimensions,  IEEE Transactions on Neural Networks and Learning Systems,  vol. 24, no. 7, pp. 1156 - 1160, 2013.
  13. Chao Zhang. Bennett-type Generalization Bounds: Large-deviation Case and Faster Rate of Convergence. UAI 2013. [Full Version]
  14. Chao Zhang, Lei Du and Dacheng Tao. LSV-Based Tail Inequalities for Sums of Random Matrices.  Neural Computation, vol. 29, pp. 247–262, 2017. 

Co-author Works:

  1. Huifang Lu, Wei Wu, Chao Zhang and Yan Xiong. Convergence of Gradient Descent Algorithm for Pi-Sigma Neural Networks. Journal of Information and Computational Sciencevol. 3, pp. 503-509, 2006. 
  2.  Wei Wu, Yan Xiong, Xidai Kang and Chao Zhang. Convergence of Asynchronous Batch Gradient Method for Pi-Sigma Neural Networks. Dynamics of Continuous, Discrete and Impulsive Systems (B), vol. 14, pp. 95-99, 2007. 
  3. Wei Wu, Yan Xiong, Xidai Kang and Chao Zhang. Training Pi-Sigma Neural Network by Online Gradient Algorithm with Penalty for Small Weights. Neural Computation, vol. 19, pp. 3356-3368, 2007.
  4. Huisheng Zhang, Chao Zhang and Wei Wu. Convergence of Batch Split-Complex Backpropagation Algorithm for Complex-Valued Neural Networks. Discrete Dynamics in Nature and Society, 2009.
  5. Xue Xu, Chao Zhang, Pidong Li, Feilong Zhang, Kuo Gao, Jianxin Chen and Hongcai Shang. Drug-symptom networking: Linking drug-likeness screening to drug discovery. Pharmacological Research, vol. 103, pp. 105-113, 2016. (Co-first author with Dr. Xu)
  6. Mingcheng Yao, Chao Zhang and Wei Wu. Learning Bounds of ERM Principle for Sequences of Time-Dependent Samples. Discrete Dynamics in Nature and Society, 2015. (Corresponding author )