Zhuangzhuang Chen

According to our database, Zhuangzhuang Chen authored at least 50 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors.

Dachong Li, Zhuangzhuang Chen, Jin Zhang, Jianqiang Li

CoRR, April, 2026

PowerLens: Taming LLM Agents for Safe and Personalized Mobile Power Management.

Xingyu Feng, Chang Sun, Yuzhu Wang, Zhangbing Zhou, Chengwen Luo, Zhuangzhuang Chen, Xiaomin Ouyang, Huanqi Yang

CoRR, March, 2026

Unified Bias Reduction in Federated Learning: A Two-Stage Feature and Label Space Disentanglement in Medical Image Analysis.

Jie He, Xiang Hua, Xiongjie Tao, Quanhong Zeng, Caichun Cen, Pengchen Liang, Zhuangzhuang Chen, Shengli Li, Bin Pu

IEEE Trans. Consumer Electron., February, 2026

Prioritizing Expert-Like Transitions for Reward-Free Offline Imitation Learning.

Zhiliang Lin, Zhuangzhuang Chen, Guanming Zhu, Li Wang, Jianqiang Li

IEEE Trans Autom. Sci. Eng., 2026

Toward Reliable Imitation Learning With Limited Expert Demonstrations via Search-Based Inverse Dynamic Learning.

Zhiliang Lin, Zhuangzhuang Chen, Guanming Zhu, Li Wang, Jianqiang Li

IEEE Trans Autom. Sci. Eng., 2026

Decompose-Compose Feature Augmentation for Imbalanced Crack Recognition in Industrial Scenarios.

Zhuangzhuang Chen, Chengqi Xu, Tao Hu, Li Wang, Jie Chen, Jianqiang Li

IEEE Trans Autom. Sci. Eng., 2026

Anomaly-aware transitions for reward-free offline imitation learning.

Zhiliang Lin, Zhuangzhuang Chen, Guanming Zhu, Jie Chen, Jianqiang Li

Pattern Recognit., 2026

MTLQ-ViT: Multi-granularity Tail-enhanced Logarithmic Quantization for Vision Transformers.

Yan Kang, Shouhao Xu, Qika Lin, Kai He, Zhan Gao, Zhuangzhuang Chen, Bin Pu

Pattern Recognit., 2026

Dual dynamic graph attention network driven deep reinforcement learning for flexible job-Shop scheduling.

Yan Kang, Tianjing Li, Lei Zhao, Zhan Gao, Jie He, Zhuangzhuang Chen, Bin Pu

Knowl. Based Syst., 2026

Towards reliable medical unsupervised anomaly detection: A benchmark and dataset for PET/CT with cross-modality knowledge distillation network.

Muhao Xu, Lili Qu, Zihan Nie, Feng Li, Zhuangzhuang Chen, Qi Liao, Yi Wan, Sijie Niu, Runmin Cong, Xin Li, Weiye Song

Inf. Fusion, 2026

A multilevel alignment and cross-fusion knowledge distillation framework for vision transformer-based medical image segmentation.

Pengchen Liang, Jianguo Chen, Yan Wu, Renkai Wu, Zhuangzhuang Chen, Bin Pu, Qing Chang, Guo Ran

Future Gener. Comput. Syst., 2026

Beyond feature mapping: Dual-heterogeneous knowledge distillation with mamba for industrial anomaly detection.

Muhao Xu, Zihan Nie, Baochen Fu, Zhuangzhuang Chen, Zijian Li, Hua Wei, Yi Wan, Weiye Song

Expert Syst. Appl., 2026

CaPro: Curvilinear-aware Prompt Learning with Single Unlabeled Image for Cost-effective Curvilinear Structure Segmentation.

Zhuangzhuang Chen, Qiangyu Chen, Chubin Ou, Xiaomeng Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation.

Zhuangzhuang Chen, Nuo Chen, Dachong Li, Zhiliang Lin, Xingyu Feng, Yifan Zhang, Jie Chen, Jianqiang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting.

Zheang Huai, Hui Tang, Yi Li, Zhuangzhuang Chen, Xiaomeng Li

IEEE Trans. Medical Imaging, December, 2025

Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention.

Yang Yu, Zhuangzhuang Chen, Siqi Wang, Lanqing Li, Xiaomeng Li

CoRR, December, 2025

LLM-CoSen: Revisiting Collaborative Sensing With Large Language Models (LLMs).

Xingyu Feng, Zehua Sun, Zhuangzhuang Chen, Chengwen Luo, Zhangbing Zhou, Victor C. M. Leung, Weitao Xu

IEEE Trans. Mob. Comput., November, 2025

Self-Adaptive Fourier Augmentation Framework for Crack Segmentation in Industrial Scenarios.

Zhuangzhuang Chen, Tao Hu, Chengqi Xu, Jie Chen, Houbing Herbert Song, Li Wang, Jianqiang Li

IEEE Trans. Ind. Informatics, October, 2025

MambaSAM: A Visual Mamba-Adapted SAM Framework for Medical Image Segmentation.

Pengchen Liang, Leijun Shi, Bin Pu, Renkai Wu, Jianguo Chen, Lixin Zhou, Lite Xu, Zhuangzhuang Chen, Qing Chang, Yiwei Li

IEEE J. Biomed. Health Informatics, August, 2025

Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation.

Pengchen Liang, Haishan Huang, Bin Pu, Jianguo Chen, Xiang Hua, Jing Zhang, Weibo Ma, Zhuangzhuang Chen, Yiwei Li, Qing Chang

CoRR, March, 2025

Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration.

Pengchen Liang, Leijun Shi, Huiping Yao, Bin Pu, Jianguo Chen, Lei Zhao, Haishan Huang, Zhuangzhuang Chen, Zhaozhao Xu, Lite Xu, Qing Chang, Yiwei Li

CoRR, March, 2025

Tailoring Fault-Tolerance to Quantum Algorithms.

Zhuangzhuang Chen, Narayanan Rengaswamy

IEEE J. Sel. Areas Inf. Theory, 2025

Divide and augment: Supervised domain adaptation via sample-wise feature fusion.

Zhuangzhuang Chen, Bin Pu, Lei Zhao, Jie He, Pengchen Liang

Inf. Fusion, 2025

KI-GCNN: Knowledge-Informed Graph Convolutional Neural Network for Multiclass Trajectory Prediction at Signalized Intersections.

Zhuangzhuang Chen, Xi Wang

Proceedings of the 25th International Conference on Software Quality, 2025

Fault Tolerant Quantum Simulation via Symplectic Transvections.

Zhuangzhuang Chen, Jack Owen Weinberg, Narayanan Rengaswamy

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

EA-KD: Entropy-Based Adaptive Knowledge Distillation.

Chi-Ping Su, Ching-Hsun Tseng, Bin Pu, Lei Zhao, Jiewen Yang, Zhuangzhuang Chen, Shin-Jye Lee

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect.

Dachong Li, Li Li, Zhuangzhuang Chen, Jianqiang Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation.

Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection.

Bin Pu, Liwen Wang, Jiewen Yang, Xingbo Dong, Benteng Ma, Zhuangzhuang Chen, Lei Zhao, Shengli Li, Kenli Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Attack-inspired Calibration Loss for Calibrating Crack Recognition.

Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang, Zhiliang Lin, Xingyu Feng, Jie Chen, Jianqiang Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Implicit Gradient-Modulated Semantic Data Augmentation for Deep Crack Recognition.

Zhuangzhuang Chen, Ronghao Lu, Jie Chen, Houbing Herbert Song, Jianqiang Li

IEEE Trans. Intell. Transp. Syst., November, 2024

Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT.

Yifan Zhang, Zhuangzhuang Chen, Xuan Yang

Comput. Biol. Medicine, March, 2024

Shift-ConvNets: Small Convolutional Kernel with Large Kernel Effects.

Dachong Li, Li Li, Zhuangzhuang Chen, Jianqiang Li

CoRR, 2024

Tailoring Fault-Tolerance to Trotter Circuits.

Zhuangzhuang Chen, Narayanan Rengaswamy

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Mind marginal non-crack regions: Clustering-inspired representation learning for crack segmentation.

Zhuangzhuang Chen, Zhuonan Lai, Jie Chen, Jianqiang Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Visual Explanations: Activation-Based Acute Lymphoblastic Leukemia Cell Classification.

Muhammad Umair Raza, Adil Nawaz, Xintong Liu, Zhuangzhuang Chen, Victor C. M. Leung, Jie Chen, Jianqiang Li

Proceedings of the IEEE International Conference on Development and Learning, 2023

The Devil is in the Crack Orientation: A New Perspective for Crack Detection.

Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Defect Screening on Nuclear Power Plant Concrete Structures: A Two-staged Method Based on Contrastive Representation Learning.

Wenlian Huang, Guanming Zhu, Qiang Huang, Zhuangzhuang Chen, Jie Chen, Jian-Qiang Li

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022

Integrated Air-Ground Vehicles for UAV Emergency Landing Based on Graph Convolution Network.

Jie Chen, Yifan Zhang, Jianqiang Li, Weiming Du, Zhuangzhuang Chen, Zun Liu, Huihui Wang, Victor C. M. Leung

IEEE Internet Things J., 2022

MetaGanFi: Cross-Domain Unseen Individual Identification Using WiFi Signals.

Jin Zhang, Zhuangzhuang Chen, Chengwen Luo, Bo Wei, Salil S. Kanhere, Jianqiang Li

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Automatic Thin Crack Segmentation with Deep Context Aggregation Network.

Xiaoyu Zhao, Wenlian Huang, Jie Chen, Zhuangzhuang Chen, Jianqiang Li

Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

When Active Learning Meets Implicit Semantic Data Augmentation.

Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li

Proceedings of the Computer Vision - ECCV 2022, 2022

Geometry-Aware Guided Loss for Deep Crack Recognition.

Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Diversity-Sensitive Generative Adversarial Network for Terrain Mapping Under Limited Human Intervention.

Jianqiang Li, Zhuangzhuang Chen, Jie Chen, Qiuzhen Lin

IEEE Trans. Cybern., 2021

2020

Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.

Jianqiang Li, Xiaofeng Shi, Zhu-Hong You, Hai-Cheng Yi, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

A novel edge-enabled SLAM solution using projected depth image information.

Jian-qiang Li, Yifan Zhang, Zhuangzhuang Chen, Jia Wang, Min Fang, Cheng-wen Luo, Huihui Wang

Neural Comput. Appl., 2020

A GCN-Based Decision-Making Network for Autonomous UAV Landing.

Yifan Zhang, Jianqiang Li, Jie Chen, Zun Liu, Zhuangzhuang Chen

Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

2019

Automatic Classification of Fetal Heart Rate Based on Convolutional Neural Network.

Jianqiang Li, Zhuangzhuang Chen, Luxiang Huang, Min Fang, Bing Li, Xianghua Fu, Huihui Wang, Qingguo Zhao

IEEE Internet Things J., 2019

A GAN-based Active Terrain Mapping for Collaborative Air-Ground Robotic System.

Jie Chen, Zhuangzhuang Chen, Min Fang, Jianqiang Li, Zhong Ming, Shulan Wang

Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

2018

Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information.

Jianqiang Li, Xiaofeng Shi, Zhuhong You, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang

Proceedings of the Intelligent Computing Theories and Application, 2018