Assistant Professor Sun Yat-sen University (SYSU) luzhichaocn [at] gmail.com Zhichao Lu received his B.Sc. and Ph.D degrees in Electrical and Computer Engineering from Michigan State University, USA, in 2014 and 2020. He was a member in the COIN Laboratory, under the supervision of Prof. Kalyanmoy Deb, where he studied bilevel optimization, multi-objective optimization, and neural architecture search. His general research interest is Evolutionary Computation based learning and optimization. His current research focuses on developing efficient and automated ML/DL algorithms and systems, with an overarching goal of making AI accessible to everyone.
CV / 简历 / Google Scholar / Github / LinkedIn
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Zhichao Lu , Gautam Sreekumar, Erik Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu N. Boddeti TPAMI, 2021   arXiv / video / code Improve practical utilities of neural architecture search through many-objective optimization, iterative surrogate modeling, and transfer learning. |
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Zhichao Lu , Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu N. Boddeti ECCV, 2020   (Oral Presentation) arXiv / video / code An efficient multi-objective neural architecture search framework. It can be easily integrated with most of search spaces. |
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Zhichao Lu , Kalyanmoy Deb, Vishnu N. Boddeti CVPR, 2020   arXiv / video / code A novel convolutional layer designed through neural architecture search to improve both parameter and FLOPs efficiency. |
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Zhichao Lu , Ian Whalen, Vishnu N. Boddeti, Yashesh Dhebar, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf GECCO, 2019   (Oral Presentation, Best Paper Award) arXiv / video / code / extended abstract (invited by IJCAI '20) An evolutionary multi-objective search algorithm for evolving DNN architectures automatically. |