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
- TFormer: A Transmission-Friendly ViT Model for IoT Devices
Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, and Shangguang Wang
IEEE TPDS '22 [
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- A Resource-Efficient Feature Extraction
Framework for Image Processing in IoT Devices
Chuntao Ding, Yidong Li, Zhichao Lu , Shangguang Wang, and Guo Song
IEEE TMC '22 [
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- Surrogate-Assisted Multiobjective Neural Architecture Search for
Real-Time Semantic Segmentation
Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, and Fan Yang
IEEE TAI '22 [
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- Towards Transmission-friendly and Robust CNN Models over Cloud and Device
Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu N. Boddeti, Yidong Li, and Jiannong Cao
IEEE TMC '22 [
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- 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 [
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- Neural Architecture Transfer
Zhichao Lu, Gautam Sreekumar, Erik Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, and Vishnu N. Boddeti
IEEE TPAMI '21 [
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- A New Many-Objective Evolutionary Algorithm based on Generalized Pareto Dominance
Shuwei Zhu, Lihong Xu, Erik Goodman, and Zhichao Lu
IEEE TCYB '21 [
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- 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 [
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- 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 [
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- FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Shihua Huang, Zhichao Lu, Ran Cheng, and Cheng He
ICCV '21 [
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- End-to-End Dense Video Captioning with Parallel Decoding
Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, and Ping Luo
ICCV '21 [
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- 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) [
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- 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 [
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- MUXConv:
Information Multiplexing in Convolutional Neural Networks
Zhichao Lu, Kalyanmoy Deb, and Vishnu N. Boddeti
CVPR '20 [
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- 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) [
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- Finding Reliable Solutions
in Bilevel Optimization Problems under Uncertainties
Zhichao Lu, Kalyanmoy Deb, and Ankur Sinha
GECCO '16 (Best Paper Award Finalist)
- 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)