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.

Journals

  1. Towards Transmission-friendly and Robust CNN Models over Cloud and Device
    Chuntao Ding, Zhichao Lu, Felix Junfei-Xu, Vishnu N. Boddeti, Yidong Li, and Jiannong Cao
    IEEE TMC '22    [ http , pdf ]

  2. Minimizing Expected Deviation in Upper-level Outcomes Due to Lower-level Decision-making Uncertainty in Hierarchical Problems
    Kalyanmoy Deb, Zhichao Lu, Ian Kropp, J. Sebastian Hernandez-Suarez, Rayan Hussein, Steven Miller, and A. Pouyan Nejadhashemi
    IEEE TEVC '22    [ http , pdf ]

  3. Neural Architecture Transfer
    Zhichao Lu, Gautam Sreekumar, Erik Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, and Vishnu N. Boddeti
    IEEE TPAMI '21    [ http , pdf , pdf ]

  4. A New Many-Objective Evolutionary Algorithm based on Generalized Pareto Dominance
    Shuwei Zhu, Lihong Xu, Erik Goodman, and Zhichao Lu
    IEEE TCYB '21    [ http , pdf ]

  5. Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
    Zhichao Lu, Ian Whalen, Yashesh Dhebar, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, and Vishnu N. Boddeti
    IEEE TEVC '21    [ http , pdf , pdf ]

Conferences

  1. VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
    Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, and Ping Luo
    ICML '22    [ http ]

  2. FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
    Shihua Huang, Zhichao Lu, Ran Cheng, and Cheng He
    ICCV '21    [ http , pdf ]

  3. End-to-End Dense Video Captioning with Parallel Decoding
    Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, and Ping Luo
    ICCV '21    [ http , pdf ]

  4. NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
    Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, and Vishnu N. Boddeti
    ECCV '20 (Oral presentation)    [ http , pdf ]

  5. NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract)
    Zhichao Lu, Ian Whalen, Vishnu N. Boddeti, Yashesh Dhebar, Kalyanmoy Deb, Erik Goodman, and Wolfgang Banzhaf
    IJCAI '20    [ http ]

  6. MUXConv: Information Multiplexing in Convolutional Neural Networks
    Zhichao Lu, Kalyanmoy Deb, and Vishnu N. Boddeti
    CVPR '20    [ http , pdf ]

  7. NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
    Zhichao Lu, Ian Whalen, Vishnu N. Boddeti, Yashesh Dhebar, Kalyanmoy Deb, Erik Goodman, and Wolfgang Banzhaf
    GECCO '19 (Best Paper Award)    [ http , pdf ]

  8. Finding Reliable Solutions in Bilevel Optimization Problems under Uncertainties
    Zhichao Lu, Kalyanmoy Deb, and Ankur Sinha
    GECCO '16 (Best Paper Award Finalist)

Book Chapters

  1. Kalyanmoy Deb, Ankur Sinha, Pekka Malo, and Zhichao Lu, Approximate Bilevel Optimization with Population-Based Evolutionary Algorithms, In: Dempe S., Zemkoho A. (eds) Bilevel Optimization. Springer Optimization and Its Applications, vol 161. Springer, Cham, 2020.
    (ISBN 978-3-030-52118-9)