Post-doc Research Fellow Southern University of Science and Technology (SUSTech) luzhichaocn [at] gmail.com Zhichao Lu is currently a post-doctoral research fellow with the Dept. of Computer Science and Engineering at the Southern University of Science and Technology, Shenzhen, China. He received the B.Sc. and Ph.D degrees in Electrical and Computer Engineering from Michigan State University, USA, in 2014 and 2020. During Ph.D study, he was a member in the COIN Laboratory, under the supervision of Prof. Kalyanmoy Deb, and collaborated closely with Prof. Vishnu Boddeti, Prof. Erik Goodman, and Prof. Wolfgang Banzhaf. His main research interest is Computational Intelligence based learning, modeling, and optimization, notably evolutionary multi-objective optimization, automated machine learning, and in particular evolutionary neural architecture search.
CV / 简历 / Google Scholar / Github / LinkedIn
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Shihua Huang, Zhichao Lu , Ran Cheng, Cheng He ICCV, 2021   project page / arXiv / code FaPN a simple yet effective top-down pyramidal architecture to generate multi-scale features for dense image prediction. It improves FPN's AP / mIoU by 1.5 - 2.6% on all tasks. |
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Teng Wang, Ruimao Zhang, Zhichao Lu , Feng Zheng, Ran Cheng, Ping Luo ICCV, 2021   arXiv / code A transformer-based framework for end-to-end dense video captioning with parallel decoding. |
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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. |