Zhichao Lu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 80

Top Topics

Pareto Dominance

Uncertainty Handling

Evolutionary Algorithm

Top Venues

Publications

Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. CoRR (2024)
Shuaijie Shen, Rui Zhang, Chao Wang, Renzhuo Huang, Aiersi Tuerhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng
Evolutionary Spiking Neural Networks: A Survey. CoRR (2024)
Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR (2024)
Chuntao Ding, Yidong Li, Zhichao Lu, Shangguang Wang, Song Guo
A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices. IEEE Trans. Mob. Comput. 23 (1) (2024)
Zhonghang Liu, Panzhong Lu, Guoyang Xie, Zhichao Lu, Wen-Yan Lin
Rethinking Unsupervised Outlier Detection via Multiple Thresholding. CoRR (2024)
Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. CoRR (2024)
Jie Hu, Yawen Huang, Yilin Lu, Guoyang Xie, Guannan Jiang, Yefeng Zheng, Zhichao Lu
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. CoRR (2024)
Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. GECCO Companion (2024)
Zhuohao Li, Guoyang Xie, Guannan Jiang, Zhichao Lu
ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal. CoRR (2024)
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. 28 (2) (2024)
Wenqing Chen, Weicheng Wang, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu
Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models. ACL (Findings) (2024)
Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CoRR (2023)
Kalyanmoy Deb, Zhichao Lu, Ian Kropp, Juan Sebastian Hernandez-Suarez, Rayan Hussein, Steven Miller, Amir Pouyan Nejadhashemi
Minimizing Expected Deviation in Upper Level Outcomes Due to Lower Level Decision Making in Hierarchical Multiobjective Problems. IEEE Trans. Evol. Comput. 27 (3) (2023)
Xianwu Hu, Yu Wang, Zizhao Ma, Gan Wen, Zeming Wang, Zhichao Lu, Yunlong Liu, Yanlei Li, Xingdong Liang, Xiaoyang Zeng, Yufeng Xie
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 70 (11) (2023)
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization. Nat. Comput. 22 (2) (2023)
Wei Fang, Zhenhao Zhu, Shuwei Zhu, Jun Sun, Xiaojun Wu, Zhichao Lu
LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]. IEEE Comput. Intell. Mag. 18 (2) (2023)
Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. CoRR (2023)
Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90 (2023)
Cheng He, Hongbin Li, Jianqing Lin, Zhichao Lu
Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization. SSCI (2023)
Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. ICWS (2023)
Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. IEEE Trans. Mob. Comput. 22 (10) (2023)
Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang
Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation. IEEE Trans. Artif. Intell. 4 (6) (2023)
Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang
TFormer: A Transmission-Friendly ViT Model for IoT Devices. IEEE Trans. Parallel Distributed Syst. 34 (2) (2023)
Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
Revisiting Residual Networks for Adversarial Robustness. CVPR (2023)
Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CVPR (2023)
Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang
TFormer: A Transmission-Friendly ViT Model for IoT Devices. CoRR (2023)
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. AAAI (2022)
Xingchen Li, Zhihang Yuan, Guangyu Sun, Liang Zhao, Zhichao Lu
Tailor: removing redundant operations in memristive analog neural network accelerators. DAC (2022)
Teng Wang, Zhu Liu, Feng Zheng, Zhichao Lu, Ran Cheng, Ping Luo
Semantic-Aware Pretraining for Dense Video Captioning. CoRR (2022)
Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective. CoRR (2022)
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR (2022)
Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. CoRR (2022)
Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation. CoRR (2022)
Xingchen Li, Bingzhe Wu, Guangyu Sun, Zhe Zhang, Zhihang Yuan, Runsheng Wang, Ru Huang, Dimin Niu, Hongzhong Zheng, Zhichao Lu, Liang Zhao, Meng-Fan Marvin Chang, Tianchan Guan, Xin Si
Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network. HPCA (2022)
Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang
PERF-Net: Pose Empowered RGB-Flow Net. WACV (2022)
Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid
Multiview Transformers for Video Recognition. CoRR (2022)
Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. ICML (2022)
Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR (2022)
Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. CoRR (2022)
Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid
Multiview Transformers for Video Recognition. CVPR (2022)
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Zhichao Lu
A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance. IEEE Trans. Cybern. 52 (8) (2022)
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu
Multi-objective Neural Architecture Search with Almost No Training. EMO (2021)
Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo
End-to-End Dense Video Captioning with Parallel Decoding. CoRR (2021)
Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo
End-to-End Dense Video Captioning with Parallel Decoding. ICCV (2021)
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts. CoRR (2021)
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. EMO (2021)
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation. CoRR (2021)
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 25 (2) (2021)
Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang
The surprising impact of mask-head architecture on novel class segmentation. CoRR (2021)
Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang
The surprising impact of mask-head architecture on novel class segmentation. ICCV (2021)
Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. CoRR (2021)
Liang Zhao, Chu Yan, Fan Yang, Shifan Gao, Gabriel Rosca, Dan Manea, Zhichao Lu, Yi Zhao
A Compute-in-Memory Architecture Compatible with 3D NAND Flash that Parallelly Activates Multi-Layers. DAC (2021)
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
Neural Architecture Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. ICCV (2021)
Ankur Sinha, Zhichao Lu, Kalyanmoy Deb, Pekka Malo
Bilevel optimization based on iterative approximation of multiple mappings. J. Heuristics 26 (2) (2020)
Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
MUXConv: Information Multiplexing in Convolutional Neural Networks. CVPR (2020)
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu
Multi-objective Neural Architecture Search with Almost No Training. CoRR (2020)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) (2020)
Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
MUXConv: Information Multiplexing in Convolutional Neural Networks. CoRR (2020)
Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang
RetinaTrack: Online Single Stage Joint Detection and Tracking. CVPR (2020)
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
Neural Architecture Transfer. CoRR (2020)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR (2020)
Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes. CoRR (2020)
Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. CVPR (2020)
Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang
PERF-Net: Pose Empowered RGB-Flow Net. CoRR (2020)
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). IJCAI (2020)
Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang
RetinaTrack: Online Single Stage Joint Detection and Tracking. CoRR (2020)
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. CoRR (2019)
Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf
NSGA-Net: neural architecture search using multi-objective genetic algorithm. GECCO (2019)
Zhichao Lu, Huifang Li, Caifu Qian
Static and Fatigue Strength Analysis of a Hyperbaric Oxygen Cabin. AIAM (IEEE) (2019)
Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. CoRR (2018)
Zhichao Lu, Kalyanmoy Deb, Hemant K. Singh
Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms. CEC (2018)
Zhichao Lu, Kalyanmoy Deb, Ankur Sinha
Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26 (Supplement-2) (2018)
Huaqiang Wu, Xiao Hu Wang, Bin Gao, Ning Deng, Zhichao Lu, Brent Haukness, Gary Bronner, He Qian
Resistive Random Access Memory for Future Information Processing System. Proc. IEEE 105 (9) (2017)
Bradley L. Barnhart, Zhichao Lu, Moriah Bostian, Ankur Sinha, Kalyanmoy Deb, Luba Kurkalova, Manoj Jha, Gerald Whittaker
Handling practicalities in agricultural policy optimization for water quality improvements. GECCO (2017)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick
Solving a supply-chain management problem using a bilevel approach. GECCO (2017)
Zhichao Lu, Kalyanmoy Deb, Ankur Sinha
Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties. GECCO (2016)
Kalyanmoy Deb, Zhichao Lu, Chris B. McKesson, Cherie Courseault Trumbach, Larry DeCan
Towards optimal ship design and valuable knowledge discovery under uncertain conditions. CEC (2015)
Zhichao Lu, Kalyanmoy Deb, Ankur Sinha
Handling decision variable uncertainty in bilevel optimization problems. CEC (2015)
Chen Li, Lap-Fai Yu, Zhichao Lu, Yasuyuki Matsushita, Kun Zhou, Stephen Lin
Continuous Symmetric Stereo with Adaptive Outlier Handling. 3DV (2015)
Jing Li, Zhichao Lu, Gang Zeng, Rui Gan, Hongbin Zha
Similarity-Aware Patchwork Assembly for Depth Image Super-resolution. CVPR (2014)
Jing Li, Zhichao Lu, Gang Zeng, Rui Gan, Long Wang, Hongbin Zha
A Joint Learning-Based Method for Multi-view Depth Map Super Resolution. ACPR (2013)