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
- 08/2022: I will be joining the School of Software Engineering at Sun Yat-sen University as an Assistant Professor!
- 09/2021: Our HZL team won the Excellent Award (ranked 6/566) of Glaucoma grAding from Multi-Modality imAge (GAMMA) Challenge at the MICCAI OMIA workshop'21!
- 08/2021: Thanks National Natural Science Foundation of China to fund our surrogate-assisted evolutionary neural architecture search project (国家自然科学基金青年科学基金项目)!
- 07/2021: Two papers accepted to ICCV '21! Congratulations to Shihua Huang, Teng Wang and all collaborators!
- 06/2021: Our team is the Runner-Up Winner of the 2021 CVPR ActivityNet Event Dense-Captioning Challenge. Congratulations to Teng Wang and Zhu Liu for leading the project! Oral presentation at CVPR 21 Workshop.
- 06/2021: Thanks China Postdoctoral Science Foundation to fund our evolutionary multi-objective neural architecture search project (中国博士后科学基金面上资助项目)!
- 02/2021: Our paper titled "A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance" is accepted to IEEE T-CYB! Congratulations to Shuwei Zhu for leading the paper!
- 01/2021: Our paper titled "Neural Architecture Transfer" is accepted to IEEE T-PAMI!
- 09/2020: Our paper titled "Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification" is accepted to IEEE T-EVC!
- 07/2020: NSGANetV2 is accepted as Oral (top 2%) at ECCV '20!
- 06/2020: NSGA-Net is invited to IJCAI '20 as an extended abstract.
- 04/2020: MUXConv is accepted to CVPR '20!
- 07/2019: NSGA-Net won the Best Paper Award at GECCO '19 (Evolutionary Machine Learning Track).
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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. |