A Joint Learning-Based Method for Multi-view Depth Map Super Resolution. - Jing Li; Zhichao Lu; Gang Zeng; Rui Gan; Long Wang 001; Hongbin Zha (ACPR, 2013)

Similarity-Aware Patchwork Assembly for Depth Image Super-resolution. - Jing Li; Zhichao Lu; Gang Zeng; Rui Gan; Hongbin Zha (CVPR, 2014)

Continuous Symmetric Stereo with Adaptive Outlier Handling. - Chen Li 031; Lap-Fai Yu; Zhichao Lu; Yasuyuki Matsushita; Kun Zhou 001; Stephen Lin 001 (3DV, 2015)

Towards optimal ship design and valuable knowledge discovery under uncertain conditions. - Kalyanmoy Deb; Zhichao Lu; Chris B. McKesson; Cherie Courseault Trumbach; Larry DeCan (CEC, 2015)

Handling decision variable uncertainty in bilevel optimization problems. - Zhichao Lu; Kalyanmoy Deb; Ankur Sinha 001 (CEC, 2015)

Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties. - Zhichao Lu; Kalyanmoy Deb; Ankur Sinha 001 (GECCO, 2016)

Handling practicalities in agricultural policy optimization for water quality improvements. - Bradley L. Barnhart; Zhichao Lu; Moriah Bostian; Ankur Sinha 001; Kalyanmoy Deb; Luba Kurkalova; Manoj Jha; Gerald Whittaker (GECCO, 2017)

Solving a supply-chain management problem using a bilevel approach. - Zhichao Lu; Kalyanmoy Deb; Erik D. Goodman; John M. Wassick (GECCO, 2017)

Resistive Random Access Memory for Future Information Processing System. - Huaqiang Wu; Xiao Hu Wang; Bin Gao 006; Ning Deng 008; Zhichao Lu; Brent Haukness; Gary Bronner; He Qian (Proc. IEEE, 2017)

Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms. - Zhichao Lu; Kalyanmoy Deb; Hemant K. Singh (CEC, 2018)

NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. - Zhichao Lu; Ian Whalen; Vishnu Boddeti; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf (CoRR, 2018)

Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions. - Zhichao Lu; Kalyanmoy Deb; Ankur Sinha 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018)

Static and Fatigue Strength Analysis of a Hyperbaric Oxygen Cabin. - Zhichao Lu; Huifang Li; Caifu Qian (AIAM (IEEE), 2019)

NSGA-Net: neural architecture search using multi-objective genetic algorithm. - Zhichao Lu; Ian Whalen; Vishnu Boddeti; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf (GECCO, 2019)

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. - Zhichao Lu; Ian Whalen; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (CoRR, 2019)

MUXConv: Information Multiplexing in Convolutional Neural Networks. - Zhichao Lu; Kalyanmoy Deb; Vishnu Naresh Boddeti (CVPR, 2020)

RetinaTrack: Online Single Stage Joint Detection and Tracking. - Zhichao Lu; Vivek Rathod; Ronny Votel; Jonathan Huang (CVPR, 2020)

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. - Mahyar Najibi; Guangda Lai; Abhijit Kundu; Zhichao Lu; Vivek Rathod; Thomas A. Funkhouser; Caroline Pantofaru; David A. Ross; Larry S. Davis; Alireza Fathi (CVPR, 2020)

NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. - Zhichao Lu; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (ECCV (1), 2020)

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). - Zhichao Lu; Ian Whalen; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (IJCAI, 2020)

Bilevel optimization based on iterative approximation of multiple mappings. - Ankur Sinha 001; Zhichao Lu; Kalyanmoy Deb; Pekka Malo (J. Heuristics, 2020)

A Compute-in-Memory Architecture Compatible with 3D NAND Flash that Parallelly Activates Multi-Layers. - Liang Zhao; Chu Yan; Fan Yang; Shifan Gao; Gabriel Rosca; Dan Manea; Zhichao Lu; Yi Zhao 015 (DAC, 2021)

Multi-objective Neural Architecture Search with Almost No Training. - Shengran Hu; Ran Cheng; Cheng He 001; Zhichao Lu (EMO, 2021)

The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. - Shuwei Zhu; Lihong Xu; Erik D. Goodman; Kalyanmoy Deb; Zhichao Lu (EMO, 2021)

The surprising impact of mask-head architecture on novel class segmentation. - Vighnesh Birodkar; Zhichao Lu; Siyang Li 002; Vivek Rathod; Jonathan Huang (ICCV, 2021)

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. - Shihua Huang; Zhichao Lu; Ran Cheng; Cheng He 001 (ICCV, 2021)

End-to-End Dense Video Captioning with Parallel Decoding. - Teng Wang; Ruimao Zhang; Zhichao Lu; Feng Zheng; Ran Cheng; Ping Luo 002 (ICCV, 2021)

Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation. - Shengran Hu; Ran Cheng; Cheng He 001; Zhichao Lu; Jing Wang; Miao Zhang (CoRR, 2021)

Neural Architecture Transfer. - Zhichao Lu; Gautam Sreekumar; Erik D. Goodman; Wolfgang Banzhaf; Kalyanmoy Deb; Vishnu Naresh Boddeti (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. - Zhichao Lu; Ian Whalen; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (IEEE Trans. Evol. Comput., 2021)

Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. - Kunpeng Li; Zizhao Zhang; Guanhang Wu; Xuehan Xiong; Chen-Yu Lee; Zhichao Lu; Yun Fu 001; Tomas Pfister (AAAI, 2022)

Multiview Transformers for Video Recognition. - Shen Yan; Xuehan Xiong; Anurag Arnab; Zhichao Lu; Mi Zhang 002; Chen Sun 002; Cordelia Schmid (CVPR, 2022)

Tailor: removing redundant operations in memristive analog neural network accelerators. - Xingchen Li; Zhihang Yuan; Guangyu Sun 003; Liang Zhao; Zhichao Lu (DAC, 2022)

Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network. - Xingchen Li; Bingzhe Wu; Guangyu Sun 003; Zhe Zhang 006; Zhihang Yuan; Runsheng Wang; Ru Huang 001; Dimin Niu; Hongzhong Zheng; Zhichao Lu; Liang Zhao; Meng-Fan Marvin Chang; et al. (HPCA, 2022)

VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. - Teng Wang; Wenhao Jiang; Zhichao Lu; Feng Zheng; Ran Cheng; Chengguo Yin; Ping Luo 002 (ICML, 2022)

Highly Reliable 40nm Embedded Dual-Interface-Switching RRAM Technology for Display Driver IC Applications. - Liang Zhao; Z. Chen; Dan Manea; S. Li; J. Li; Y. Zhu; Z. Sui; Zhichao Lu (VLSI Technology and Circuits, 2022)

PERF-Net: Pose Empowered RGB-Flow Net. - Yinxiao Li; Zhichao Lu; Xuehan Xiong; Jonathan Huang (WACV, 2022)

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Lexing Huang; Qinji Yu; Sifan Song; Xingxing Xu; Yanyu Xu; Wensai Wang; et al. (CoRR, 2022)

Semantic-Aware Pretraining for Dense Video Captioning. - Teng Wang; Zhu Liu 005; Feng Zheng; Zhichao Lu; Ran Cheng; Ping Luo 002 (CoRR, 2022)

Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation. - Zhichao Lu; Ran Cheng; Shihua Huang; Haoming Zhang; Changxiao Qiu; Fan Yang (CoRR, 2022)

Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective. - Shihua Huang; Zhichao Lu; Kalyanmoy Deb; Vishnu Naresh Boddeti (CoRR, 2022)

A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance. - Shuwei Zhu; Lihong Xu; Erik D. Goodman; Zhichao Lu (IEEE Trans. Cybern., 2022)

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. - Chuntao Ding; Zhichao Lu; Shangguang Wang; Ran Cheng; Vishnu Naresh Boddeti (CVPR, 2023)

Revisiting Residual Networks for Adversarial Robustness. - Shihua Huang; Zhichao Lu; Kalyanmoy Deb; Vishnu Naresh Boddeti (CVPR, 2023)

Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. - Zhichao Lu; Chuntao Ding; Shangguang Wang; Ran Cheng; Felix Juefei-Xu; Vishnu Naresh Boddeti (ICWS, 2023)

Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization. - Cheng He 001; Hongbin Li; Jianqing Lin; Zhichao Lu (SSCI, 2023)

Minimizing Expected Deviation in Upper Level Outcomes Due to Lower Level Decision Making in Hierarchical Multiobjective Problems. - Kalyanmoy Deb; Zhichao Lu; Ian Kropp; Juan Sebastian Hernandez-Suarez; Rayan Hussein; Steven Miller; A. Pouyan Nejadhashemi (IEEE Trans. Evol. Comput., 2023)

TFormer: A Transmission-Friendly ViT Model for IoT Devices. - Zhichao Lu; Chuntao Ding; Felix Juefei-Xu; Vishnu Naresh Boddeti; Shangguang Wang; Yun Yang 001 (IEEE Trans. Parallel Distributed Syst., 2023)

LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]. - Wei Fang 001; Zhenhao Zhu; Shuwei Zhu; Jun Sun 008; Xiaojun Wu 001; Zhichao Lu (IEEE Comput. Intell. Mag., 2023)

A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization. - Shuwei Zhu; Lihong Xu; Erik D. Goodman; Kalyanmoy Deb; Zhichao Lu (Nat. Comput., 2023)

Towards Transmission-Friendly and Robust CNN Models over Cloud and Device. - Chuntao Ding; Zhichao Lu; Felix Juefei-Xu; Vishnu Naresh Boddeti; Yidong Li; Jiannong Cao 001 (IEEE Trans. Mob. Comput., 2023)

An 8.8 TFLOPS/W Floating-Point RRAM-Based Compute-in-Memory Macro Using Low Latency Triangle-Style Mantissa Multiplication. - Xianwu Hu; Yu Wang; Zizhao Ma; Gan Wen; Zeming Wang; Zhichao Lu; Yunlong Liu; Yanlei Li; Xingdong Liang; Xiaoyang Zeng; Yufeng Xie (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu; Wensai Wang; et al. (Medical Image Anal., 2023)

Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation. - Zhichao Lu; Ran Cheng; Shihua Huang; Haoming Zhang; Changxiao Qiu; Fan Yang (IEEE Trans. Artif. Intell., 2023)

Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models. - Wenqing Chen; Weicheng Wang; Zhixuan Chu; Kui Ren 001; Zibin Zheng; Zhichao Lu (ACL (Findings), 2024)

Rethinking Unsupervised Outlier Detection via Multiple Thresholding. - Zhonghang Liu; Panzhong Lu; Guoyang Xie; Zhichao Lu; Wen-Yan Lin (ECCV (18), 2024)

A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. - Yifan Zhao; Zhenyu Liang; Zhichao Lu; Ran Cheng (GECCO Companion, 2024)

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (ICML, 2024)

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. - Rui Zhang 042; Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (PPSN (2), 2024)

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2024)

ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal. - Zhuohao Li; Guoyang Xie; Guannan Jiang; Zhichao Lu (CoRR, 2024)

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. - Jie Hu; Yawen Huang; Yilin Lu; Guoyang Xie; Guannan Jiang; Yefeng Zheng 001; Zhichao Lu (CoRR, 2024)

VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. - Zaiwei Zhang; Gregory P. Meyer; Zhichao Lu; Ashish Shrivastava 001; Avinash Ravichandran; Eric M. Wolff (CoRR, 2024)

Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework. - Yuqi Cheng; Yunkang Cao; Guoyang Xie; Zhichao Lu; Weiming Shen 001 (CoRR, 2024)

Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models. - Yunhao Yang; Yuxin Hu; Mao Ye; Zaiwei Zhang; Zhichao Lu; Yi Xu; Ufuk Topcu; Ben Snyder (CoRR, 2024)

A Systematic Survey on Large Language Models for Algorithm Design. - Fei Liu 044; Yiming Yao; Ping Guo 007; Zhiyuan Yang 003; Zhe Zhao 008; Xi Lin 001; Xialiang Tong; Mingxuan Yuan; Zhichao Lu; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2024)

LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices. - Chuntao Ding; Xu Cao; Jianhang Xie; Linlin Fan; Shangguang Wang; Zhichao Lu (CoRR, 2024)

SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning. - Yan Zhong; Ruoyu Zhao; Chao Wang; Qinghai Guo; Jianguo Zhang; Zhichao Lu; Luziwei Leng (CoRR, 2024)

LLM4AD: A Platform for Algorithm Design with Large Language Model. - Fei Liu 044; Rui Zhang 042; Zhuoliang Xie; Rui Sun; Kai Li 022; Xi Lin 001; Zhenkun Wang 001; Zhichao Lu; Qinyu Zhang 001 (CoRR, 2024)

A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices. - Chuntao Ding; Yidong Li; Zhichao Lu; Shangguang Wang; Song Guo 001 (IEEE Trans. Mob. Comput., 2024)

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. - Zhichao Lu; Ran Cheng; Yaochu Jin; Kay Chen Tan; Kalyanmoy Deb (IEEE Trans. Evol. Comput., 2024)

Evolutionary spiking neural networks: a survey. - Shuaijie Shen; Rui Zhang 042; Chao Wang; Renzhuo Huang; Aiersi Tuerhong; Qinghai Guo; Zhichao Lu; Jianguo Zhang; Luziwei Leng (J. Membr. Comput., 2024)

Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective. - Kaifang Long; Guoyang Xie; Lianbo Ma; Jiaqi Liu; Zhichao Lu (AAAI, 2025)

SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. - Shuaijie Shen; Chao Wang; Renzhuo Huang; Yan Zhong; Qinghai Guo; Zhichao Lu; Jianguo Zhang; Luziwei Leng (AAAI, 2025)

Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework. - Zhenjie Xu; Wenqing Chen; Yi Tang; Xuanying Li; Cheng Hu; Zhixuan Chu; Kui Ren 001; Zibin Zheng; Zhichao Lu (AAAI, 2025)

Multi-Objective Evolution of Heuristic Using Large Language Model. - Shunyu Yao 002; Fei Liu 044; Xi Lin 001; Zhichao Lu; Zhenkun Wang 001; Qingfu Zhang 001 (AAAI, 2025)

Design Principle Transfer in Neural Architecture Search via Large Language Models. - Xun Zhou; Xingyu Wu; Liang Feng 001; Zhichao Lu; Kay Chen Tan (AAAI, 2025)

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. - Ping Guo 007; Cheng Gong; Xi Lin 001; Fei Liu 044; Zhichao Lu; Qingfu Zhang 001; Zhenkun Wang 001 (CVPR, 2025)

DEIM: DETR with Improved Matching for Fast Convergence. - Shihua Huang; Zhichao Lu; Xiaodong Cun; Yongjun Yu; Xiao Zhou; Xi Shen (CVPR, 2025)

Enhancing Multimodal Learning via Hierarchical Fusion Architecture Search With Inconsistency Mitigation. - Kaifang Long; Guoyang Xie; Lianbo Ma; Qing Li 006; Min Huang 001; Jianhui Lv; Zhichao Lu (IEEE Trans. Image Process., 2025)

A Survey on Industrial Anomalies Synthesis. - Xichen Xu; Yanshu Wang; Yawen Huang; Jiaqi Liu; Xiaoning Lei; Guoyang Xie; Guannan Jiang; Zhichao Lu (CoRR, 2025)

Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning. - Lianbo Ma; Jianlun Ma; Yuee Zhou; Guoyang Xie; Qiang He; Zhichao Lu (CoRR, 2025)

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation. - Haokun Lin; Teng Wang; Yixiao Ge; Yuying Ge; Zhichao Lu; Ying Wei 001; Qingfu Zhang 001; Zhenan Sun; Ying Shan (CoRR, 2025)

NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN. - Jianhang Xie; Chuntao Ding; Xiaqing Li; Shenyuan Ren; Yidong Li; Zhichao Lu (CoRR, 2025)

Artificial evolutionary intelligence (AEI): evolutionary computation evolves with large language models. - Cheng He 001; Ye Tian 009; Zhichao Lu (J. Membr. Comput., 2025)

Fine-tuning Large Language Model for Automated Algorithm Design. - Fei Liu 044; Rui Zhang 042; Xi Lin 001; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2025)

Trade-offs in Image Generation: How Do Different Dimensions Interact? - Sicheng Zhang; Binzhu Xie; Zhonghao Yan; Yuli Zhang; Donghao Zhou; Xiaofei Chen; Shi Qiu; Jiaqi Liu; Guoyang Xie; Zhichao Lu (CoRR, 2025)

Discovering Interpretable Programmatic Policies via Multimodal LLM-assisted Evolutionary Search. - Qinglong Hu; Xialiang Tong; Mingxuan Yuan; Fei Liu 044; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2025)

Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs. - Haokun Lin; Haobo Xu; Yichen Wu; Ziyu Guo; Renrui Zhang; Zhichao Lu; Ying Wei 001; Qingfu Zhang 001; Zhenan Sun (CoRR, 2025)