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ORCIDZhichao Lu
陸智超
Person information
- unicode name: 陸智超
- affiliation: City University of Hong Kong, Department of Computer Science, Kowloon Tong, Hong Kong
- affiliation: Sun Yat-sen University, School of Software Engineering, Guangzhou, China
- affiliation: Southern University of Science and Technology (SUSTech), Department of Computer Science and Engineering, Shenzhen, China
- affiliation (PhD 2020): Michigan State University (MSU), East Lansing, MI, USA
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2020 – today
- 2024
[j16]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): 323-337 (2024)- [j15]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): 42-55 (2024) - [c38]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: 14162-14167 - [c37]Zhonghang Liu, Panzhong Lu, Guoyang Xie, Zhichao Lu, Wen-Yan Lin:
Rethinking Unsupervised Outlier Detection via Multiple Thresholding. ECCV (18) 2024: 258-275 - [c36]Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng:
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. GECCO Companion 2024: 163-166 - [c35]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. ICML 2024 - [c34]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. PPSN (2) 2024: 185-202 - [i38]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 abs/2401.02051 (2024) - [i37]Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng:
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. CoRR abs/2404.16266 (2024) - [i36]Zhuohao Li, Guoyang Xie, Guannan Jiang, Zhichao Lu:
ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal. CoRR abs/2404.18433 (2024) - [i35]Jie Hu, Yawen Huang, Yilin Lu, Guoyang Xie, Guannan Jiang, Yefeng Zheng, Zhichao Lu:
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. CoRR abs/2404.19444 (2024) - [i34]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 abs/2406.12552 (2024) - [i33]Zhonghang Liu, Panzhong Lu, Guoyang Xie, Zhichao Lu, Wen-Yan Lin:
Rethinking Unsupervised Outlier Detection via Multiple Thresholding. CoRR abs/2407.05382 (2024) - [i32]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 abs/2407.10873 (2024) - [i31]Xun Zhou, Liang Feng, Xingyu Wu, Zhichao Lu, Kay Chen Tan:
Design Principle Transfer in Neural Architecture Search via Large Language Models. CoRR abs/2408.11330 (2024) - [i30]Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng:
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. CoRR abs/2408.14909 (2024) - [i29]Zaiwei Zhang, Gregory P. Meyer, Zhichao Lu, Ashish Shrivastava, Avinash Ravichandran, Eric M. Wolff:
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. CoRR abs/2408.16930 (2024) - [i28]Yuqi Cheng, Yunkang Cao, Guoyang Xie, Zhichao Lu, Weiming Shen:
Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework. CoRR abs/2409.13162 (2024) - [i27]Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang:
Multi-objective Evolution of Heuristic Using Large Language Model. CoRR abs/2409.16867 (2024) - [i26]Yunhao Yang, Yuxin Hu, Mao Ye, Zaiwei Zhang, Zhichao Lu, Yi Xu, Ufuk Topcu, Ben Snyder:
Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models. CoRR abs/2410.01144 (2024) - 2023
- [j14]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): 78-93 (2023) - [j13]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: 102938 (2023) - [j12]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): 287-313 (2023) - [j11]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): 1602-1615 (2023) - [j10]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): 4216-4220 (2023) - [j9]Kalyanmoy Deb, Zhichao Lu, Ian Kropp, Juan Sebastian Hernandez-Suarez, Rayan Hussein, Steven Miller, A. 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): 505-519 (2023) - [j8]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): 6176-6189 (2023) - [j7]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): 598-610 (2023) - [c33]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: 7756-7765 - [c32]Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Revisiting Residual Networks for Adversarial Robustness. CVPR 2023: 8202-8211 - [c31]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: 415-425 - [c30]Cheng He, Hongbin Li, Jianqing Lin, Zhichao Lu:
Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization. SSCI 2023: 972-978 - [i25]Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang:
TFormer: A Transmission-Friendly ViT Model for IoT Devices. CoRR abs/2302.07734 (2023) - [i24]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 abs/2308.02066 (2023) - [i23]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 abs/2308.06515 (2023) - 2022
- [j6]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): 7776-7790 (2022) - [c29]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: 1341-1349 - [c28]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CVPR 2022: 3323-3333 - [c27]Xingchen Li, Zhihang Yuan, Guangyu Sun, Liang Zhao, Zhichao Lu:
Tailor: removing redundant operations in memristive analog neural network accelerators. DAC 2022: 1009-1014 - [c26]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: 1043-1055 - [c25]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: 22680-22690 - [c24]Liang Zhao, Z. Chen, Dan Manea, S. Li, J. Li, Y. Zhu, Z. Sui, Zhichao Lu:
Highly Reliable 40nm Embedded Dual-Interface-Switching RRAM Technology for Display Driver IC Applications. VLSI Technology and Circuits 2022: 316-317 - [c23]Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang:
PERF-Net: Pose Empowered RGB-Flow Net. WACV 2022: 798-807 - [i22]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CoRR abs/2201.04288 (2022) - [i21]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 abs/2202.06511 (2022) - [i20]Teng Wang, Zhu Liu, Feng Zheng, Zhichao Lu, Ran Cheng, Ping Luo:
Semantic-Aware Pretraining for Dense Video Captioning. CoRR abs/2204.07449 (2022) - [i19]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 abs/2206.08919 (2022) - [i18]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 abs/2207.09616 (2022) - [i17]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR abs/2208.04321 (2022) - [i16]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 abs/2208.06820 (2022) - [i15]Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective. CoRR abs/2212.11005 (2022) - 2021
- [j5]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): 2971-2989 (2021) - [j4]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): 277-291 (2021) - [c22]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: 193-198 - [c21]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: 349-361 - [c20]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu:
Multi-objective Neural Architecture Search with Almost No Training. EMO 2021: 492-503 - [c19]Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He:
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. ICCV 2021: 844-853 - [c18]Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo:
End-to-End Dense Video Captioning with Parallel Decoding. ICCV 2021: 6827-6837 - [c17]Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang:
The surprising impact of mask-head architecture on novel class segmentation. ICCV 2021: 6995-7005 - [i14]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 abs/2101.03713 (2021) - [i13]Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang:
The surprising impact of mask-head architecture on novel class segmentation. CoRR abs/2104.00613 (2021) - [i12]Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He:
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. CoRR abs/2108.07058 (2021) - [i11]Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo:
End-to-End Dense Video Captioning with Parallel Decoding. CoRR abs/2108.07781 (2021) - [i10]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang:
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation. CoRR abs/2110.05242 (2021) - 2020
- [j3]Ankur Sinha, Zhichao Lu, Kalyanmoy Deb, Pekka Malo:
Bilevel optimization based on iterative approximation of multiple mappings. J. Heuristics 26(2): 151-185 (2020) - [c16]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: 11910-11919 - [c15]Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. CVPR 2020: 12041-12050 - [c14]Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang:
RetinaTrack: Online Single Stage Joint Detection and Tracking. CVPR 2020: 14656-14666 - [c13]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) 2020: 35-51 - [c12]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: 4750-4754 - [i9]Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang:
RetinaTrack: Online Single Stage Joint Detection and Tracking. CoRR abs/2003.13870 (2020) - [i8]Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. CoRR abs/2003.13880 (2020) - [i7]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 abs/2004.01170 (2020) - [i6]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. CoRR abs/2005.05859 (2020) - [i5]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR abs/2007.10396 (2020) - [i4]Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang:
PERF-Net: Pose Empowered RGB-Flow Net. CoRR abs/2009.13087 (2020) - [i3]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu:
Multi-objective Neural Architecture Search with Almost No Training. CoRR abs/2011.13591 (2020)
2010 – 2019
- 2019
- [c11]Zhichao Lu, Huifang Li, Caifu Qian:
Static and Fatigue Strength Analysis of a Hyperbaric Oxygen Cabin. AIAM (IEEE) 2019: 682-685 - [c10]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: 419-427 - [i2]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 abs/1912.01369 (2019) - 2018
- [j2]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): 1-24 (2018) - [c9]Zhichao Lu, Kalyanmoy Deb, Hemant K. Singh:
Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms. CEC 2018: 1-8 - [i1]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 abs/1810.03522 (2018) - 2017
- [j1]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): 1770-1789 (2017) - [c8]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: 1065-1072 - [c7]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick:
Solving a supply-chain management problem using a bilevel approach. GECCO 2017: 1185-1192 - 2016
- [c6]Zhichao Lu, Kalyanmoy Deb, Ankur Sinha:
Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties. GECCO 2016: 941-948 - 2015
- [c5]Chen Li, Lap-Fai Yu, Zhichao Lu, Yasuyuki Matsushita, Kun Zhou, Stephen Lin:
Continuous Symmetric Stereo with Adaptive Outlier Handling. 3DV 2015: 162-170 - [c4]Zhichao Lu, Kalyanmoy Deb, Ankur Sinha:
Handling decision variable uncertainty in bilevel optimization problems. CEC 2015: 1683-1690 - [c3]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: 1815-1822 - 2014
- [c2]Jing Li, Zhichao Lu, Gang Zeng, Rui Gan, Hongbin Zha:
Similarity-Aware Patchwork Assembly for Depth Image Super-resolution. CVPR 2014: 3374-3381 - 2013
- [c1]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: 456-460
Coauthor Index
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