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ORCIDZhuangzhuang Chen
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- affiliation: Shenzhen University, Guangdong, China
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2020 – today
- 2026
[j26]Muhao Xu
, Zihan Nie, Baochen Fu, Zhuangzhuang Chen, Zijian Li, Hua Wei, Yi Wan, Weiye Song:
Beyond feature mapping: Dual-heterogeneous knowledge distillation with mamba for industrial anomaly detection. Expert Syst. Appl. 308: 131146 (2026)- [j25]Pengchen Liang, Jianguo Chen, Yan Wu, Renkai Wu, Zhuangzhuang Chen, Bin Pu, Qing Chang, Guo Ran:
A multilevel alignment and cross-fusion knowledge distillation framework for vision transformer-based medical image segmentation. Future Gener. Comput. Syst. 177: 108228 (2026) - [j24]Muhao Xu, Lili Qu, Zihan Nie, Feng Li, Zhuangzhuang Chen, Qi Liao, Yi Wan, Sijie Niu, Runmin Cong, Xin Li, Weiye Song:
Towards reliable medical unsupervised anomaly detection: A benchmark and dataset for PET/CT with cross-modality knowledge distillation network. Inf. Fusion 133: 104341 (2026) - [j23]Yan Kang, Tianjing Li, Lei Zhao, Zhan Gao, Jie He, Zhuangzhuang Chen, Bin Pu:
Dual dynamic graph attention network driven deep reinforcement learning for flexible job-Shop scheduling. Knowl. Based Syst. 335: 115192 (2026) - [j22]Zhiliang Lin, Zhuangzhuang Chen, Guanming Zhu, Jie Chen, Jianqiang Li:
Anomaly-aware transitions for reward-free offline imitation learning. Pattern Recognit. 179: 113677 (2026) - [j21]Yan Kang, Shouhao Xu, Qika Lin, Kai He, Zhan Gao, Zhuangzhuang Chen, Bin Pu:
MTLQ-ViT: Multi-granularity Tail-enhanced Logarithmic Quantization for Vision Transformers. Pattern Recognit. 179: 113769 (2026) - [j20]Zhuangzhuang Chen, Chengqi Xu, Tao Hu, Li Wang, Jie Chen, Jianqiang Li:
Decompose-Compose Feature Augmentation for Imbalanced Crack Recognition in Industrial Scenarios. IEEE Trans Autom. Sci. Eng. 23: 3329-3339 (2026) - [j19]Zhiliang Lin, Zhuangzhuang Chen, Guanming Zhu, Li Wang, Jianqiang Li:
Toward Reliable Imitation Learning With Limited Expert Demonstrations via Search-Based Inverse Dynamic Learning. IEEE Trans Autom. Sci. Eng. 23: 5732-5743 (2026) - [j18]Zhiliang Lin, Zhuangzhuang Chen, Guanming Zhu, Li Wang, Jianqiang Li:
Prioritizing Expert-Like Transitions for Reward-Free Offline Imitation Learning. IEEE Trans Autom. Sci. Eng. 23: 10337-10349 (2026) - [j17]Jie He, Xiang Hua, Xiongjie Tao, Quanhong Zeng, Caichun Cen, Pengchen Liang, Zhuangzhuang Chen, Shengli Li, Bin Pu:
Unified Bias Reduction in Federated Learning: A Two-Stage Feature and Label Space Disentanglement in Medical Image Analysis. IEEE Trans. Consumer Electron. 72(1): 2513-2526 (2026) - [j16]Zhiliang Lin, Zhuangzhuang Chen, Guanming Zhu, Jiaxian Chen, Jianqiang Li:
GALC: Guided Amplified Learning With Lipschitz Constraint for Robust Trajectory Generation. IEEE Trans. Cybern. 56(8): 4794-4804 (2026) - [j15]Xingyu Feng, Huanqi Yang, Zhuangzhuang Chen, Chengwen Luo, Yuzhu Wang, Zhangbing Zhou, Weitao Xu, Victor C. M. Leung:
E$^{2}$2LLM: Structure-Guided Efficient Inference for LLMs in Distributed Edge-IoT Environments. IEEE Trans. Mob. Comput. 25(9): 14239-14253 (2026) - [c20]Zhuangzhuang Chen, Qiangyu Chen, Chubin Ou, Xiaomeng Li:
CaPro: Curvilinear-aware Prompt Learning with Single Unlabeled Image for Cost-effective Curvilinear Structure Segmentation. AAAI 2026: 3210-3218 - [c19]Zhuangzhuang Chen, Nuo Chen, Dachong Li, Zhiliang Lin, Xingyu Feng, Yifan Zhang, Jie Chen, Jianqiang Li:
CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation. AAAI 2026: 20472-20480 - [i11]Xingyu Feng, Chang Sun, Yuzhu Wang, Zhangbing Zhou, Chengwen Luo, Zhuangzhuang Chen, Xiaomin Ouyang, Huanqi Yang:
PowerLens: Taming LLM Agents for Safe and Personalized Mobile Power Management. CoRR abs/2603.19584 (2026) - [i10]Dachong Li, Zhuangzhuang Chen, Jin Zhang, Jianqiang Li:
CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors. CoRR abs/2604.21241 (2026) - [i9]Sungjun Cho, Zhuangzhuang Chen, Xiaomeng Li:
The Devil is in the Dark Pixels: Toward Brightness Bias-Robust Denoising. CoRR abs/2607.16320 (2026) - 2025
- [j14]Zhuangzhuang Chen, Bin Pu, Lei Zhao, Jie He, Pengchen Liang:
Divide and augment: Supervised domain adaptation via sample-wise feature fusion. Inf. Fusion 115: 102757 (2025) - [j13]Zhuangzhuang Chen, Narayanan Rengaswamy:
Tailoring Fault-Tolerance to Quantum Algorithms. IEEE J. Sel. Areas Inf. Theory 6: 311-324 (2025) - [j12]Zhuangzhuang Chen, Tao Hu, Chengqi Xu, Jie Chen, Houbing Herbert Song, Li Wang, Jianqiang Li:
Self-Adaptive Fourier Augmentation Framework for Crack Segmentation in Industrial Scenarios. IEEE Trans. Ind. Informatics 21(10): 7487-7498 (2025) - [j11]Pengchen Liang, Leijun Shi, Bin Pu, Renkai Wu, Jianguo Chen, Lixin Zhou, Lite Xu, Zhuangzhuang Chen, Qing Chang, Yiwei Li:
MambaSAM: A Visual Mamba-Adapted SAM Framework for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 29(8): 5824-5835 (2025) - [j10]Xingyu Feng, Zehua Sun, Zhuangzhuang Chen, Chengwen Luo, Zhangbing Zhou, Victor C. M. Leung, Weitao Xu:
LLM-CoSen: Revisiting Collaborative Sensing With Large Language Models (LLMs). IEEE Trans. Mob. Comput. 24(11): 11555-11567 (2025) - [j9]Zheang Huai, Hui Tang, Yi Li, Zhuangzhuang Chen, Xiaomeng Li:
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting. IEEE Trans. Medical Imaging 44(12): 5077-5088 (2025) - [c18]Bin Pu, Liwen Wang, Jiewen Yang, Xingbo Dong, Benteng Ma, Zhuangzhuang Chen, Lei Zhao, Shengli Li, Kenli Li:
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection. AAAI 2025: 6523-6531 - [c17]Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang, Zhiliang Lin, Xingyu Feng, Jie Chen, Jianqiang Li:
Attack-inspired Calibration Loss for Calibrating Crack Recognition. AAAI 2025: 15984-15992 - [c16]Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li:
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation. CVPR 2025: 20885-20894 - [c15]Dachong Li, Li Li, Zhuangzhuang Chen, Jianqiang Li:
ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect. CVPR 2025: 25281-25291 - [c14]Chi-Ping Su, Ching-Hsun Tseng, Bin Pu, Lei Zhao, Jiewen Yang, Zhuangzhuang Chen, Shin-Jye Lee:
EA-KD: Entropy-Based Adaptive Knowledge Distillation. ICCV 2025: 731-740 - [c13]Zhuangzhuang Chen, Jack Owen Weinberg, Narayanan Rengaswamy:
Fault Tolerant Quantum Simulation via Symplectic Transvections. QCE 2025: 158-168 - [c12]Zhuangzhuang Chen, Xi Wang:
KI-GCNN: Knowledge-Informed Graph Convolutional Neural Network for Multiclass Trajectory Prediction at Signalized Intersections. QRS 2025: 347-358 - [i8]Pengchen Liang, Leijun Shi, Huiping Yao, Bin Pu, Jianguo Chen, Lei Zhao, Haishan Huang, Zhuangzhuang Chen, Zhaozhao Xu, Lite Xu, Qing Chang, Yiwei Li:
Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration. CoRR abs/2503.02321 (2025) - [i7]Pengchen Liang, Haishan Huang, Bin Pu, Jianguo Chen, Xiang Hua, Jing Zhang, Weibo Ma, Zhuangzhuang Chen, Yiwei Li, Qing Chang:
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation. CoRR abs/2503.06976 (2025) - [i6]Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li:
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation. CoRR abs/2504.01428 (2025) - [i5]Zhuangzhuang Chen, Jack Owen Weinberg, Narayanan Rengaswamy:
Fault Tolerant Quantum Simulation via Symplectic Transvections. CoRR abs/2504.11444 (2025) - [i4]Zheang Huai, Hui Tang, Yi Li, Zhuangzhuang Chen, Xiaomeng Li:
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting. CoRR abs/2505.08527 (2025) - [i3]Yang Yu, Zhuangzhuang Chen, Siqi Wang, Lanqing Li, Xiaomeng Li:
Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention. CoRR abs/2512.10414 (2025) - 2024
- [j8]Yifan Zhang, Zhuangzhuang Chen, Xuan Yang:
Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT. Comput. Biol. Medicine 170: 108088 (2024) - [j7]Zhuangzhuang Chen, Ronghao Lu, Jie Chen, Houbing Herbert Song, Jianqiang Li:
Implicit Gradient-Modulated Semantic Data Augmentation for Deep Crack Recognition. IEEE Trans. Intell. Transp. Syst. 25(11): 16084-16095 (2024) - [c11]Zhuangzhuang Chen, Zhuonan Lai, Jie Chen, Jianqiang Li:
Mind marginal non-crack regions: Clustering-inspired representation learning for crack segmentation. CVPR 2024: 12698-12708 - [c10]Zhuangzhuang Chen, Narayanan Rengaswamy:
Tailoring Fault-Tolerance to Trotter Circuits. QCE 2024: 134-140 - [i2]Dachong Li, Li Li, Zhuangzhuang Chen, Jianqiang Li:
Shift-ConvNets: Small Convolutional Kernel with Large Kernel Effects. CoRR abs/2401.12736 (2024) - [i1]Zhuangzhuang Chen, Narayanan Rengaswamy:
Tailoring Fault-Tolerance to Quantum Algorithms. CoRR abs/2404.11953 (2024) - 2023
- [c9]Wenlian Huang, Guanming Zhu, Qiang Huang, Zhuangzhuang Chen, Jie Chen, Jian-Qiang Li:
Defect Screening on Nuclear Power Plant Concrete Structures: A Two-staged Method Based on Contrastive Representation Learning. ICARM 2023: 691-697 - [c8]Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li:
The Devil is in the Crack Orientation: A New Perspective for Crack Detection. ICCV 2023: 6630-6640 - [c7]Muhammad Umair Raza, Adil Nawaz, Xintong Liu, Zhuangzhuang Chen, Victor C. M. Leung, Jie Chen, Jianqiang Li:
Visual Explanations: Activation-Based Acute Lymphoblastic Leukemia Cell Classification. ICDL 2023: 61-66 - 2022
- [j6]Jin Zhang, Zhuangzhuang Chen, Chengwen Luo, Bo Wei, Salil S. Kanhere, Jianqiang Li:
MetaGanFi: Cross-Domain Unseen Individual Identification Using WiFi Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 152:1-152:21 (2022) - [j5]Jie Chen, Yifan Zhang, Jianqiang Li, Weiming Du, Zhuangzhuang Chen, Zun Liu, Huihui Wang, Victor C. M. Leung:
Integrated Air-Ground Vehicles for UAV Emergency Landing Based on Graph Convolution Network. IEEE Internet Things J. 9(12): 9106-9116 (2022) - [c6]Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li:
Geometry-Aware Guided Loss for Deep Crack Recognition. CVPR 2022: 4693-4702 - [c5]Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li:
When Active Learning Meets Implicit Semantic Data Augmentation. ECCV (25) 2022: 56-72 - [c4]Xiaoyu Zhao, Wenlian Huang, Jie Chen, Zhuangzhuang Chen, Jianqiang Li:
Automatic Thin Crack Segmentation with Deep Context Aggregation Network. ICARM 2022: 206-212 - 2021
- [j4]Jianqiang Li, Zhuangzhuang Chen, Jie Chen, Qiuzhen Lin:
Diversity-Sensitive Generative Adversarial Network for Terrain Mapping Under Limited Human Intervention. IEEE Trans. Cybern. 51(12): 6029-6040 (2021) - 2020
- [j3]Jian-qiang Li, Yifan Zhang, Zhuangzhuang Chen, Jia Wang, Min Fang, Cheng-wen Luo, Huihui Wang:
A novel edge-enabled SLAM solution using projected depth image information. Neural Comput. Appl. 32(19): 15369-15381 (2020) - [j2]Jianqiang Li, Xiaofeng Shi, Zhu-Hong You, Hai-Cheng Yi, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang:
Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1546-1554 (2020) - [c3]Yifan Zhang, Jianqiang Li, Jie Chen, Zun Liu, Zhuangzhuang Chen:
A GCN-Based Decision-Making Network for Autonomous UAV Landing. ICARM 2020: 652-657
2010 – 2019
- 2019
- [j1]Jianqiang Li, Zhuangzhuang Chen, Luxiang Huang, Min Fang, Bing Li, Xianghua Fu, Huihui Wang, Qingguo Zhao:
Automatic Classification of Fetal Heart Rate Based on Convolutional Neural Network. IEEE Internet Things J. 6(2): 1394-1401 (2019) - [c2]Jie Chen, Zhuangzhuang Chen, Min Fang, Jianqiang Li, Zhong Ming, Shulan Wang:
A GAN-based Active Terrain Mapping for Collaborative Air-Ground Robotic System. ICARM 2019: 622-627 - 2018
- [c1]Jianqiang Li, Xiaofeng Shi, Zhuhong You, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang:
Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information. ICIC (1) 2018: 527-532
Coauthor Index
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