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.
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- 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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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. |