Zhichao Lu

143 papers A* 27A 6B 3C 2Journal 94Unranked 11
YearRankTypeTitle / Venue / Authors
2026 — conf
31.1 A 14.08-to-135.69Token/s ReRAM-on-Logic Stacked Outlier-Free Large-Language-Model Accelerator with Block-Clustered Weight-Compression and Adaptive Parallel-Speculative-Decoding.
ISSCC
Pingcheng Dong, Yonghao Tan, Xuejiao Liu, Peng Luo, Yu Liu, Di Pang, Songchen Ma, Xijie Huang, Shih-Yang Liu, Dong Zhang, Zhichao Lu, Luhong Liang, Chi-Ying Tsui, Fengbin Tu, Liang Zhao, Kwang-Ting Cheng
2026 J jnl
A Systematic Survey on Large Language Models for Algorithm Design.
ACM Comput. Surv.
Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Xi Lin, Zhe Zhao, Xialiang Tong, Kun Mao, Zhichao Lu, Zhenkun Wang, Mingxuan Yuan, Qingfu Zhang
2026 A* conf
Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits.
AAAI
Bo Xue, Yuanyu Wan, Zhichao Lu, Qingfu Zhang
2026 J jnl
Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization.
CoRR
Junhao Qiu, Xin Chen, Liang Ge, Liyong Lin, Zhichao Lu, Qingfu Zhang
2026 J jnl
Functional consistency of LLM code embeddings: A self-evolving data synthesis framework for benchmarking.
Expert Syst. Appl.
Zhuohao Li, Wenqing Chen, Jianxing Yu, Zhichao Lu
2026 J jnl
I2EKD: Efficient and Versatile Image-to-Event Knowledge Distillation.
IEEE Trans. Circuits Syst. Video Technol.
Haotian Liu, Guo Yu, Hu Cao, Sanqing Qu, Fan Lu, Yan Zhong, Zhichao Lu, Luziwei Leng, Guang Chen
2026 J jnl
Rethinking Code Similarity for Automated Algorithm Design with LLMs.
CoRR
Rui Zhang, Zhichao Lu
2026 J jnl
SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba.
Trans. Mach. Learn. Res.
Yulong Huang, Jianxiong Tang, Chao Wang, Ziyi Wang, Jianguo Zhang, Zhichao Lu, Bojun Cheng, Luziwei Leng
2026 J jnl
Supply chain network design considering uncertain disruption risks and carbon constraints.
Appl. Soft Comput.
Runliang Dou, Zhichao Lu, Hao Wang, Yixin Wei, Yanchao Hou
2026 J jnl
Survey on Neural Routing Solvers.
CoRR
Yunpeng Ba, Xi Lin, Changliang Zhou, Ruihao Zheng, Zhenkun Wang, Xinyan Liang, Zhichao Lu, Jianyong Sun, Yuhua Qian, Qingfu Zhang
2026 J jnl
Toward Zero-Shot Point Cloud Anomaly Detection: A Multiview Projection Framework.
IEEE Trans. Syst. Man Cybern. Syst.
Yuqi Cheng, Yunkang Cao, Guoyang Xie, Zhichao Lu, Weiming Shen
2025 J jnl
A Survey on Industrial Anomalies Synthesis.
CoRR
Xichen Xu, Yanshu Wang, Yawen Huang, Jiaqi Liu, Xiaoning Lei, Guoyang Xie, Guannan Jiang, Zhichao Lu
2025 J jnl
ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection.
CoRR
Qunyi Zhang, Songan Zhang, Jinbao Wang, Xiaoning Lei, Guoyang Xie, Guannan Jiang, Zhichao Lu
2025 J jnl
Artificial evolutionary intelligence (AEI): evolutionary computation evolves with large language models.
J. Membr. Comput.
Cheng He, Ye Tian, Zhichao Lu
2025 J jnl
Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits.
CoRR
Bo Xue, Yuanyu Wan, Zhichao Lu, Qingfu Zhang
2025 J jnl
CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks.
CoRR
Xu Zhang, Hao Li, Zhichao Lu
2025 A* conf
DEIM: DETR with Improved Matching for Fast Convergence.
CVPR
Shihua Huang, Zhichao Lu, Xiaodong Cun, Yongjun Yu, Xiao Zhou, Xi Shen
2025 A* conf
Design Principle Transfer in Neural Architecture Search via Large Language Models.
AAAI
Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan
2025 J jnl
Discovering Interpretable Programmatic Policies via Multimodal LLM-assisted Evolutionary Search.
CoRR
Qinglong Hu, Xialiang Tong, Mingxuan Yuan, Fei Liu, Zhichao Lu, Qingfu Zhang
2025 J jnl
Enhancing Multimodal Learning via Hierarchical Fusion Architecture Search With Inconsistency Mitigation.
IEEE Trans. Image Process.
Kaifang Long, Guoyang Xie, Lianbo Ma, Qing Li, Min Huang, Jianhui Lv, Zhichao Lu
2025 J jnl
EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models.
CoRR
Ping Guo, Chenyu Zhu, Siyuan Chen, Fei Liu, Xi Lin, Zhichao Lu, Qingfu Zhang
2025 J jnl
Evolution of Kernels: Automated RISC-V Kernel Optimization with Large Language Models.
CoRR
Siyuan Chen, Zhichao Lu, Qingfu Zhang
2025 J jnl
FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis.
CoRR
Xichen Xu, Yanshu Wang, Jinbao Wang, Xiaoning Lei, Guoyang Xie, Guannan Jiang, Zhichao Lu
2025 J jnl
Fine-tuning Large Language Model for Automated Algorithm Design.
CoRR
Fei Liu, Rui Zhang, Xi Lin, Zhichao Lu, Qingfu Zhang
2025 J jnl
Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking.
CoRR
Zhuohao Li, Wenqing Chen, Jianxing Yu, Zhichao Lu
2025 A* conf
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning.
ICML
Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu
2025 J jnl
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning.
CoRR
Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu
2025 A* conf
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework.
CVPR
Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang
2025 J jnl
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework.
CoRR
Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang
2025 A* conf
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework.
AAAI
Zhenjie Xu, Wenqing Chen, Yi Tang, Xuanying Li, Cheng Hu, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu
2025 A* conf
Multi-Objective Evolution of Heuristic Using Large Language Model.
AAAI
Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2025 J jnl
NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN.
CoRR
Jianhang Xie, Chuntao Ding, Xiaqing Li, Shenyuan Ren, Yidong Li, Zhichao Lu
2025 J jnl
NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN.
IEEE Trans. Mob. Comput.
Jianhang Xie, Chuntao Ding, Xiaqing Li, Shenyuan Ren, Yidong Li, Zhichao Lu
2025 J jnl
Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs.
CoRR
Haokun Lin, Haobo Xu, Yichen Wu, Ziyu Guo, Renrui Zhang, Zhichao Lu, Ying Wei, Qingfu Zhang, Zhenan Sun
2025 A* conf
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective.
AAAI
Kaifang Long, Guoyang Xie, Lianbo Ma, Jiaqi Liu, Zhichao Lu
2025 J jnl
STAGE: Segmentation-oriented Industrial Anomaly Synthesis via Graded Diffusion with Explicit Mask Alignment.
CoRR
Xichen Xu, Yanshu Wang, Jinbao Wang, Qunyi Zhang, Xiaoning Lei, Guoyang Xie, Guannan Jiang, Zhichao Lu
2025 J jnl
ShadowMaskFormer: Mask Augmented Patch Embedding for Shadow Removal.
IEEE Trans. Artif. Intell.
Zhuohao Li, Guoyang Xie, Guannan Jiang, Zhichao Lu
2025 J jnl
SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba.
CoRR
Yulong Huang, Jianxiong Tang, Chao Wang, Ziyi Wang, Jianguo Zhang, Zhichao Lu, Bojun Cheng, Luziwei Leng
2025 A* conf
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models.
AAAI
Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng
2025 J jnl
TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation.
CoRR
Haokun Lin, Teng Wang, Yixiao Ge, Yuying Ge, Zhichao Lu, Ying Wei, Qingfu Zhang, Zhenan Sun, Ying Shan
2025 J jnl
Trade-offs in Image Generation: How Do Different Dimensions Interact?
CoRR
Sicheng Zhang, Binzhu Xie, Zhonghao Yan, Yuli Zhang, Donghao Zhou, Xiaofei Chen, Shi Qiu, Jiaqi Liu, Guoyang Xie, Zhichao Lu
2025 A* conf
Uncertainty-Guided Enhancement on Driving Perception System Via Foundation Models.
ICRA
Yunhao Yang, Yuxin Hu, Mao Ye, Zaiwei Zhang, Zhichao Lu, Yi Xu, Ufuk Topcu, Ben Snyder
2024 — conf
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation.
GECCO Companion
Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng
2024 J jnl
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation.
CoRR
Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng
2024 J jnl
A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices.
IEEE Trans. Mob. Comput.
Chuntao Ding, Yidong Li, Zhichao Lu, Shangguang Wang, Song Guo
2024 J jnl
A Systematic Survey on Large Language Models for Algorithm Design.
CoRR
Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2024 J jnl
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search.
CoRR
Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024 J jnl
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion.
CoRR
Jie Hu, Yawen Huang, Yilin Lu, Guoyang Xie, Guannan Jiang, Yefeng Zheng, Zhichao Lu
2024 J jnl
DEIM: DETR with Improved Matching for Fast Convergence.
CoRR
Shihua Huang, Zhichao Lu, Xiaodong Cun, Yongjun Yu, Xiao Zhou, Xi Shen
2024 J jnl
Design Principle Transfer in Neural Architecture Search via Large Language Models.
CoRR
Xun Zhou, Liang Feng, Xingyu Wu, Zhichao Lu, Kay Chen Tan
2024 A* conf
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.
ICML
Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024 J jnl
Evolutionary Spiking Neural Networks: A Survey.
CoRR
Shuaijie Shen, Rui Zhang, Chao Wang, Renzhuo Huang, Aiersi Tuerhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng
2024 J jnl
Evolutionary spiking neural networks: a survey.
J. Membr. Comput.
Shuaijie Shen, Rui Zhang, Chao Wang, Renzhuo Huang, Aiersi Tuerhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng
2024 J jnl
LLM4AD: A Platform for Algorithm Design with Large Language Model.
CoRR
Fei Liu, Rui Zhang, Zhuoliang Xie, Rui Sun, Kai Li, Xi Lin, Zhenkun Wang, Zhichao Lu, Qinyu Zhang
2024 J jnl
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices.
CoRR
Chuntao Ding, Xu Cao, Jianhang Xie, Linlin Fan, Shangguang Wang, Zhichao Lu
2024 J jnl
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework.
CoRR
Zhenjie Xu, Wenqing Chen, Yi Tang, Xuanying Li, Cheng Hu, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu
2024 J jnl
Multi-objective Evolution of Heuristic Using Large Language Model.
CoRR
Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2024 J jnl
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.
IEEE Trans. Evol. Comput.
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
2024 — conf
Rethinking Unsupervised Outlier Detection via Multiple Thresholding.
ECCV (18)
Zhonghang Liu, Panzhong Lu, Guoyang Xie, Zhichao Lu, Wen-Yan Lin
2024 J jnl
Rethinking Unsupervised Outlier Detection via Multiple Thresholding.
CoRR
Zhonghang Liu, Panzhong Lu, Guoyang Xie, Zhichao Lu, Wen-Yan Lin
2024 J jnl
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective.
CoRR
Kaifang Long, Guoyang Xie, Lianbo Ma, Jiaqi Liu, Zhichao Lu
2024 J jnl
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning.
CoRR
Yan Zhong, Ruoyu Zhao, Chao Wang, Qinghai Guo, Jianguo Zhang, Zhichao Lu, Luziwei Leng
2024 — conf
Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models.
ACL (Findings)
Wenqing Chen, Weicheng Wang, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu
2024 J jnl
ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal.
CoRR
Zhuohao Li, Guoyang Xie, Guannan Jiang, Zhichao Lu
2024 J jnl
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models.
CoRR
Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng
2024 J jnl
Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework.
CoRR
Yuqi Cheng, Yunkang Cao, Guoyang Xie, Zhichao Lu, Weiming Shen
2024 J jnl
Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models.
CoRR
Yunhao Yang, Yuxin Hu, Mao Ye, Zaiwei Zhang, Zhichao Lu, Yi Xu, Ufuk Topcu, Ben Snyder
2024 — conf
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models.
PPSN (2)
Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024 J jnl
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models.
CoRR
Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024 J jnl
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition.
CoRR
Zaiwei Zhang, Gregory P. Meyer, Zhichao Lu, Ashish Shrivastava, Avinash Ravichandran, Eric M. Wolff
2023 J jnl
A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization.
Nat. Comput.
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
2023 J jnl
Accelerating multi-objective neural architecture search by random-weight evaluation.
Complex Intell. Syst.
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang
2023 J jnl
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
Xianwu Hu, Yu Wang, Zizhao Ma, Gan Wen, Zeming Wang, Zhichao Lu, Yunlong Liu, Yanlei Li, Xingdong Liang, Xiaoyang Zeng, Yufeng Xie
2023 J jnl
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.
Medical Image Anal.
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
2023 J jnl
LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier].
IEEE Comput. Intell. Mag.
Wei Fang, Zhenhao Zhu, Shuwei Zhu, Jun Sun, Xiaojun Wu, Zhichao Lu
2023 — conf
Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization.
SSCI
Cheng He, Hongbin Li, Jianqing Lin, Zhichao Lu
2023 J jnl
Minimizing Expected Deviation in Upper Level Outcomes Due to Lower Level Decision Making in Hierarchical Multiobjective Problems.
IEEE Trans. Evol. Comput.
Kalyanmoy Deb, Zhichao Lu, Ian Kropp, Juan Sebastian Hernandez-Suarez, Rayan Hussein, Steven Miller, A. Pouyan Nejadhashemi
2023 A* conf
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives.
CVPR
Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti
2023 J jnl
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives.
CoRR
Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti
2023 A* conf
Revisiting Residual Networks for Adversarial Robustness.
CVPR
Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
2023 A conf
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services.
ICWS
Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti
2023 J jnl
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services.
CoRR
Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti
2023 J jnl
Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation.
IEEE Trans. Artif. Intell.
Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang
2023 J jnl
TFormer: A Transmission-Friendly ViT Model for IoT Devices.
CoRR
Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang
2023 J jnl
TFormer: A Transmission-Friendly ViT Model for IoT Devices.
IEEE Trans. Parallel Distributed Syst.
Zhichao Lu, Chuntao Ding, Felix Juefei-Xu, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang
2023 J jnl
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device.
IEEE Trans. Mob. Comput.
Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao
2022 J jnl
A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance.
IEEE Trans. Cybern.
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Zhichao Lu
2022 A* conf
Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network.
HPCA
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
2022 J jnl
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.
CoRR
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
2022 — conf
Highly Reliable 40nm Embedded Dual-Interface-Switching RRAM Technology for Display Driver IC Applications.
VLSI Technology and Circuits
Liang Zhao, Z. Chen, Dan Manea, S. Li, J. Li, Y. Zhu, Z. Sui, Zhichao Lu
2022 A* conf
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts.
AAAI
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
2022 A* conf
Multiview Transformers for Video Recognition.
CVPR
Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid
2022 J jnl
Multiview Transformers for Video Recognition.
CoRR
Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid
2022 J jnl
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.
CoRR
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
2022 A conf
PERF-Net: Pose Empowered RGB-Flow Net.
WACV
Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang
2022 J jnl
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective.
CoRR
Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
2022 J jnl
Semantic-Aware Pretraining for Dense Video Captioning.
CoRR
Teng Wang, Zhu Liu, Feng Zheng, Zhichao Lu, Ran Cheng, Ping Luo
2022 J jnl
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation.
CoRR
Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang
2022 A* conf
Tailor: removing redundant operations in memristive analog neural network accelerators.
DAC
Xingchen Li, Zhihang Yuan, Guangyu Sun, Liang Zhao, Zhichao Lu
2022 J jnl
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device.
CoRR
Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao
2022 A* conf
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix.
ICML
Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo
2022 J jnl
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix.
CoRR
Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo
2021 A* conf
A Compute-in-Memory Architecture Compatible with 3D NAND Flash that Parallelly Activates Multi-Layers.
DAC
Liang Zhao, Chu Yan, Fan Yang, Shifan Gao, Gabriel Rosca, Dan Manea, Zhichao Lu, Yi Zhao
2021 J jnl
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation.
CoRR
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang
2021 A* conf
End-to-End Dense Video Captioning with Parallel Decoding.
ICCV
Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo
2021 J jnl
End-to-End Dense Video Captioning with Parallel Decoding.
CoRR
Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo
2021 A* conf
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction.
ICCV
Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He
2021 J jnl
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction.
CoRR
Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He
2021 J jnl
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts.
CoRR
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
2021 C conf
Multi-objective Neural Architecture Search with Almost No Training.
EMO
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu
2021 J jnl
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification.
IEEE Trans. Evol. Comput.
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2021 J jnl
Neural Architecture Transfer.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
2021 C conf
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization.
EMO
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
2021 A* conf
The surprising impact of mask-head architecture on novel class segmentation.
ICCV
Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang
2021 J jnl
The surprising impact of mask-head architecture on novel class segmentation.
CoRR
Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang
2020 J jnl
Bilevel optimization based on iterative approximation of multiple mappings.
J. Heuristics
Ankur Sinha, Zhichao Lu, Kalyanmoy Deb, Pekka Malo
2020 A* conf
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes.
CVPR
Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi
2020 J jnl
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes.
CoRR
Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi
2020 A* conf
MUXConv: Information Multiplexing in Convolutional Neural Networks.
CVPR
Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
2020 J jnl
MUXConv: Information Multiplexing in Convolutional Neural Networks.
CoRR
Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
2020 J jnl
Multi-objective Neural Architecture Search with Almost No Training.
CoRR
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu
2020 A* conf
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract).
IJCAI
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2020 J jnl
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search.
CoRR
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2020 — conf
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search.
ECCV (1)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2020 J jnl
Neural Architecture Transfer.
CoRR
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
2020 J jnl
PERF-Net: Pose Empowered RGB-Flow Net.
CoRR
Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang
2020 A* conf
RetinaTrack: Online Single Stage Joint Detection and Tracking.
CVPR
Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang
2020 J jnl
RetinaTrack: Online Single Stage Joint Detection and Tracking.
CoRR
Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang
2019 J jnl
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.
CoRR
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2019 A conf
NSGA-Net: neural architecture search using multi-objective genetic algorithm.
GECCO
Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf
2019 — conf
Static and Fatigue Strength Analysis of a Hyperbaric Oxygen Cabin.
AIAM (IEEE)
Zhichao Lu, Huifang Li, Caifu Qian
2018 B conf
Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms.
CEC
Zhichao Lu, Kalyanmoy Deb, Hemant K. Singh
2018 J jnl
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search.
CoRR
Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf
2018 J jnl
Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Zhichao Lu, Kalyanmoy Deb, Ankur Sinha
2017 A conf
Handling practicalities in agricultural policy optimization for water quality improvements.
GECCO
Bradley L. Barnhart, Zhichao Lu, Moriah Bostian, Ankur Sinha, Kalyanmoy Deb, Luba Kurkalova, Manoj Jha, Gerald Whittaker
2017 J jnl
Resistive Random Access Memory for Future Information Processing System.
Proc. IEEE
Huaqiang Wu, Xiao Hu Wang, Bin Gao, Ning Deng, Zhichao Lu, Brent Haukness, Gary Bronner, He Qian
2017 A conf
Solving a supply-chain management problem using a bilevel approach.
GECCO
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick
2016 A conf
Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties.
GECCO
Zhichao Lu, Kalyanmoy Deb, Ankur Sinha
2015 — conf
Continuous Symmetric Stereo with Adaptive Outlier Handling.
3DV
Chen Li, Lap-Fai Yu, Zhichao Lu, Yasuyuki Matsushita, Kun Zhou, Stephen Lin
2015 B conf
Handling decision variable uncertainty in bilevel optimization problems.
CEC
Zhichao Lu, Kalyanmoy Deb, Ankur Sinha
2015 B conf
Towards optimal ship design and valuable knowledge discovery under uncertain conditions.
CEC
Kalyanmoy Deb, Zhichao Lu, Chris B. McKesson, Cherie Courseault Trumbach, Larry DeCan
2014 A* conf
Similarity-Aware Patchwork Assembly for Depth Image Super-resolution.
CVPR
Jing Li, Zhichao Lu, Gang Zeng, Rui Gan, Hongbin Zha
2013 — conf
A Joint Learning-Based Method for Multi-view Depth Map Super Resolution.
ACPR
Jing Li, Zhichao Lu, Gang Zeng, Rui Gan, Long Wang, Hongbin Zha