Assistant Professor City University of Hong Kong (CityU) luzhichaocn [at] gmail [dot] com Zhichao Lu received Ph.D degree in Electrical and Computer Engineering from Michigan State University under the supervision of Prof. Kalyanmoy Deb (FIEEE, FACM), where he studied bilevel optimization, evolutionary multi-objective optimization, and neural architecture search. In the broad context of AI, his current research focuses on the intersections of evolutionary computation, learning, and optimization, notably on developing efficient and automated ML/DL algorithms and systems, with the overarching goal of making AI accessible to everyone.
Prospective Students: I am always looking for self-motivated students with strong mathematical and programming background. Please refer to openings for potential opportunities.
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Zhichao Lu , Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb IEEE TEVC, 2023   arXiv / slides / code Transforming Neural Architecture Search (NAS) into multiobjective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning. |
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Shihua Huang, Zhichao Lu , Kalyanmoy Deb, Vishnu N. Boddeti CVPR, 2023   arXiv / poster / code A holistic study on the impact of architectural design on adversarial robustness, showing that architecture contributes as much as, if not more than, adversarial training to adversarial robustness. |
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Zhichao Lu , Gautam Sreekumar, Erik Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu N. Boddeti IEEE 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 , 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. |