Zhichao Lu
Orcid: 0000-0002-4618-3573Affiliations:
- City University of Hong Kong, Department of Computer Science, Kowloon Tong, Hong Kong
- Sun Yat-sen University, School of Software Engineering, Guangzhou, China
- Southern University of Science and Technology (SUSTech), Department of Computer Science and Engineering, Shenzhen, China
- Michigan State University (MSU), East Lansing, MI, USA (PhD 2020)
According to our database1,
Zhichao Lu
authored at least 74 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on github.com
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Bibliography
2024
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.
IEEE Trans. Evol. Comput., April, 2024
A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices.
IEEE Trans. Mob. Comput., January, 2024
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models.
CoRR, 2024
CoRR, 2024
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search.
CoRR, 2024
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation.
IEEE Trans. Artif. Intell., December, 2023
Medical Image Anal., December, 2023
An 8.8 TFLOPS/W Floating-Point RRAM-Based Compute-in-Memory Macro Using Low Latency Triangle-Style Mantissa Multiplication.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2023
IEEE Trans. Mob. Comput., October, 2023
A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization.
Nat. Comput., June, 2023
LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier].
IEEE Comput. Intell. Mag., May, 2023
IEEE Trans. Parallel Distributed Syst., February, 2023
Minimizing Expected Deviation in Upper Level Outcomes Due to Lower Level Decision Making in Hierarchical Multiobjective Problems.
IEEE Trans. Evol. Comput., 2023
Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE International Conference on Web Services, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Cybern., 2022
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective.
CoRR, 2022
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation.
CoRR, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Highly Reliable 40nm Embedded Dual-Interface-Switching RRAM Technology for Display Driver IC Applications.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022
Proceedings of the International Conference on Machine Learning, 2022
Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022
Tailor: removing redundant operations in memristive analog neural network accelerators.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification.
IEEE Trans. Evol. Comput., 2021
CoRR, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
A Compute-in-Memory Architecture Compatible with 3D NAND Flash that Parallelly Activates Multi-Layers.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2020
J. Heuristics, 2020
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019
2018
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018
CoRR, 2018
Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Proc. IEEE, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Handling practicalities in agricultural policy optimization for water quality improvements.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Towards optimal ship design and valuable knowledge discovery under uncertain conditions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the 2015 International Conference on 3D Vision, 2015
2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013