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Yaodong (Donn) He
E-mail:
yaodonghe2-c@my.cityu.edu.hk
Address:
FYW building 2386, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong

ABOUT ME

I am a PhD candidate in Department of Electrical Engineering, City University of Hong Kong. My supervisor is Dr. Shiu Yin Yuen. Before admitted to CityU, I worked and studied in the multimedia lab, Rutgers University with Professor Ivan Marsic.
I was born and grew up in Chengdu, a beautiful city located in southwest China. In my spare time, I enjoy playing computer games, watching comics and animes and playing basketball.

EDUCATION

PhD candidate, Department of Electrical Engineering, City University of Hong Kong, 2016-now.
MS, Department of Electrical and Computer Engineering, Rutgers University, 2013-2015.
BS, School of Electronic Engineering, University of Electronic Science and Technology of China, 2010-2014.

RESEARCH

Research Interests

My research interests include algorithm selection, evolutionary computation (and its applications), computer vision and machine learning.

Publications

1. Yaodong He, Shiu Yin Yuen, and Yang Lou, "A Bayesian Restarting Approach to Algorithm Selection", In: Simulated Evolution and Learning, (Proc. SEAL 2017), Shenzhen, pp.397–409 (2017).
2. Yaodong He, Shiu Yin Yuen, and Yang Lou, "Exploratory Landscape Analysis Using Algorithm Based Sampling", In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '18), Kyoto, Japan (2018).
3. Yaodong He, Shiu Yin Yuen, Yang Lou, and Xin Zhang. "A sequential algorithm portfolio approach for black box optimization." Swarm and Evolutionary Computation 44 (2019): 559-570.
4. Yaodong He, Jianfeng Zhou, and Shiu Yin Yuen. "Composing photomosaic images using clustering based evolutionary programming" Multimedia Tools and Applications (2018): vol 78, 25919-25936.
5. Yaodong He and Shiu Yin Yuen, "Black Box Algorithm Selection by Convolutional Neural Network", International Conference on Machine Learning, Optimization, and Data Science. (accepted)
6. Yang Lou, Yaodong He, Lin Wang, Guanrong Chen “Predicting Network Controllability Robustness: A Convolutional Neural Network Approach”, IEEE Transactions on cybernetics. (Under review)
7. Yang Lou, Yaodong He, Lin Wang, Kim Fung Tsang, and Guanrong Chen, "Predicting the Robustness of Undirected Network Controllability", In Proceedings of 39th Chinese Control Conference (CCC2020). (accepted)
8. Zhang Xin, Lou Yang, Yuen Shiu Yin, Wu Zhou, He Yaodong, Zhang Xiu. "Hybrid Artificial Bee Colony with Covariance Matrix Adaptation Evolution Strategy for Economic Load Dispatch." 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019.

TEACHING

Digital Signal Processing, EE4015, teaching assistant, 2016-2017.
Data Structures and Algorithms, EE2331, teaching assistant, 2017-2018.
Foundations of Data Engineering, EE3001, teaching assistant,2016-2017, 2017-2018, 2018-2019, 2019-2020.