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.

Publications
Journals

  1. Neural Architecture Transfer
    Zhichao Lu, Gautam Sreekumar, Erik Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, and Vishnu Naresh Boddeti
    IEEE T-PAMI 2021

  2. A New Many-Objective Evolutionary Algorithm based on Generalized Pareto Dominance
    Shuwei Zhu, Lihong Xu, Erik Goodman, and Zhichao Lu
    IEEE T-CYB 2021

  3. Multi-Objective 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 T-EVC 2021

  4. Bilevel Optimization based on Iterative Approximation of Multiple Mappings
    Ankur Sinha, Zhichao Lu, Kalyanmoy Deb, and Pekka Malo
    Journal of Heuristics 2020

  5. Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions
    Zhichao Lu, Kalyanmoy Deb, and Ankur Sinha
    IJUFKS 2018

Conferences

  1. FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
    Shihua Huang, Zhichao Lu, Ran Cheng, and Cheng He
    ICCV 2021

  2. End-to-End Dense Video Captioning with Parallel Decoding
    Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, and Ping Luo
    ICCV 2021

  3. Multi-objective Neural Architecture Search with Almost No Training
    Shengran Hu, Ran Cheng, Cheng He, and Zhichao Lu
    EMO 2021

  4. The (M-1)+1 framework of relaxed Pareto dominance for evolutionary many-objective optimization
    Shuwei Zhu, Lihong Xu, Erik Goodman, Kalyanmod Deb, and Zhichao Lu
    EMO 2021

  5. NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
    Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, and Vishnu N. Boddeti
    ECCV 2020 (Oral presentation)

  6. 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 2020

  7. MUXConv: Information Multiplexing in Convolutional Neural Networks
    Zhichao Lu, Kalyanmoy Deb, and Vishnu N. Boddeti
    CVPR 2020

  8. 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 2019 (Best Paper Award)

  9. Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms
    Zhichao Lu, Kalyanmoy Deb, and Hemant Singh
    CEC 2018

  10. Solving a Supply-chain Management Problem using a Bilevel Approach
    Zhichao Lu, Kalyanmoy Deb, Erik Goodman, and John Wassick
    GECCO 2017

  11. Handling Practicalities in Agricultural Policy Optimization for Water Quality Improvements
    Brad Barnhart, Zhichao Lu, Moriah Bostian, Ankur Sinha, Kalyanmoy Deb, Lyubov A. kurkalova, Manoj Jha, and Gerald W. Whittaker
    GECCO 2017

  12. Finding Reliable Solutions in Bilevel Optimization Problems under Uncertainties
    Zhichao Lu, Kalyanmoy Deb, and Ankur Sinha
    GECCO 2016 (Best Paper Award Finalist)

  13. Handling Decision Variable Uncertainty in Bilevel Optimization Problems
    Zhichao Lu, Kalyanmoy Deb, and Ankur Sinha
    CEC 2015

  14. Towards optimal ship design and valuable knowledge discovery under uncertain conditions
    Kalyanmoy Deb, Zhichao Lu , Chris B. McKesson Cherie C. Trumbach and Larry DeCan
    CEC 2015

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)