Zhuangzhuang Chen

49 papers A* 9C 1Misc 1Journal 31Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multilevel alignment and cross-fusion knowledge distillation framework for vision transformer-based medical image segmentation.
Future Gener. Comput. Syst.
Pengchen Liang, Jianguo Chen, Yan Wu, Renkai Wu, Zhuangzhuang Chen, Bin Pu, Qing Chang, Guo Ran
2026 J jnl
Anomaly-aware transitions for reward-free offline imitation learning.
Pattern Recognit.
Zhiliang Lin, Zhuangzhuang Chen, Guanming Zhu, Jie Chen, Jianqiang Li
2026 J jnl
Beyond feature mapping: Dual-heterogeneous knowledge distillation with mamba for industrial anomaly detection.
Expert Syst. Appl.
Muhao Xu, Zihan Nie, Baochen Fu, Zhuangzhuang Chen, Zijian Li, Hua Wei, Yi Wan, Weiye Song
2026 A* conf
CaPro: Curvilinear-aware Prompt Learning with Single Unlabeled Image for Cost-effective Curvilinear Structure Segmentation.
AAAI
Zhuangzhuang Chen, Qiangyu Chen, Chubin Ou, Xiaomeng Li
2026 A* conf
CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation.
AAAI
Zhuangzhuang Chen, Nuo Chen, Dachong Li, Zhiliang Lin, Xingyu Feng, Yifan Zhang, Jie Chen, Jianqiang Li
2026 J jnl
Decompose-Compose Feature Augmentation for Imbalanced Crack Recognition in Industrial Scenarios.
IEEE Trans Autom. Sci. Eng.
Zhuangzhuang Chen, Chengqi Xu, Tao Hu, Li Wang, Jie Chen, Jianqiang Li
2026 J jnl
Dual dynamic graph attention network driven deep reinforcement learning for flexible job-Shop scheduling.
Knowl. Based Syst.
Yan Kang, Tianjing Li, Lei Zhao, Zhan Gao, Jie He, Zhuangzhuang Chen, Bin Pu
2026 J jnl
PowerLens: Taming LLM Agents for Safe and Personalized Mobile Power Management.
CoRR
Xingyu Feng, Chang Sun, Yuzhu Wang, Zhangbing Zhou, Chengwen Luo, Zhuangzhuang Chen, Xiaomin Ouyang, Huanqi Yang
2026 J jnl
Toward Reliable Imitation Learning With Limited Expert Demonstrations via Search-Based Inverse Dynamic Learning.
IEEE Trans Autom. Sci. Eng.
Zhiliang Lin, Zhuangzhuang Chen, Guanming Zhu, Li Wang, Jianqiang Li
2026 J jnl
Towards reliable medical unsupervised anomaly detection: A benchmark and dataset for PET/CT with cross-modality knowledge distillation network.
Inf. Fusion
Muhao Xu, Lili Qu, Zihan Nie, Feng Li, Zhuangzhuang Chen, Qi Liao, Yi Wan, Sijie Niu, Runmin Cong, Xin Li, Weiye Song
2026 J jnl
Unified Bias Reduction in Federated Learning: A Two-Stage Feature and Label Space Disentanglement in Medical Image Analysis.
IEEE Trans. Consumer Electron.
Jie He, Xiang Hua, Xiongjie Tao, Quanhong Zeng, Caichun Cen, Pengchen Liang, Zhuangzhuang Chen, Shengli Li, Bin Pu
2025 A* conf
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection.
AAAI
Bin Pu, Liwen Wang, Jiewen Yang, Xingbo Dong, Benteng Ma, Zhuangzhuang Chen, Lei Zhao, Shengli Li, Kenli Li
2025 A* conf
Attack-inspired Calibration Loss for Calibrating Crack Recognition.
AAAI
Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang, Zhiliang Lin, Xingyu Feng, Jie Chen, Jianqiang Li
2025 J jnl
Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention.
CoRR
Yang Yu, Zhuangzhuang Chen, Siqi Wang, Lanqing Li, Xiaomeng Li
2025 J jnl
Divide and augment: Supervised domain adaptation via sample-wise feature fusion.
Inf. Fusion
Zhuangzhuang Chen, Bin Pu, Lei Zhao, Jie He, Pengchen Liang
2025 J jnl
Fault Tolerant Quantum Simulation via Symplectic Transvections.
CoRR
Zhuangzhuang Chen, Jack Owen Weinberg, Narayanan Rengaswamy
2025 C conf
KI-GCNN: Knowledge-Informed Graph Convolutional Neural Network for Multiclass Trajectory Prediction at Signalized Intersections.
QRS
Zhuangzhuang Chen, Xi Wang
2025 J jnl
LLM-CoSen: Revisiting Collaborative Sensing With Large Language Models (LLMs).
IEEE Trans. Mob. Comput.
Xingyu Feng, Zehua Sun, Zhuangzhuang Chen, Chengwen Luo, Zhangbing Zhou, Victor C. M. Leung, Weitao Xu
2025 J jnl
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting.
CoRR
Zheang Huai, Hui Tang, Yi Li, Zhuangzhuang Chen, Xiaomeng Li
2025 J jnl
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting.
IEEE Trans. Medical Imaging
Zheang Huai, Hui Tang, Yi Li, Zhuangzhuang Chen, Xiaomeng Li
2025 J jnl
MambaSAM: A Visual Mamba-Adapted SAM Framework for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Pengchen Liang, Leijun Shi, Bin Pu, Renkai Wu, Jianguo Chen, Lixin Zhou, Lite Xu, Zhuangzhuang Chen, Qing Chang, Yiwei Li
2025 A* conf
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation.
CVPR
Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li
2025 J jnl
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation.
CoRR
Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li
2025 J jnl
Self-Adaptive Fourier Augmentation Framework for Crack Segmentation in Industrial Scenarios.
IEEE Trans. Ind. Informatics
Zhuangzhuang Chen, Tao Hu, Chengqi Xu, Jie Chen, Houbing Herbert Song, Li Wang, Jianqiang Li
2025 J jnl
Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration.
CoRR
Pengchen Liang, Leijun Shi, Huiping Yao, Bin Pu, Jianguo Chen, Lei Zhao, Haishan Huang, Zhuangzhuang Chen, Zhaozhao Xu, Lite Xu, Qing Chang, Yiwei Li
2025 A* conf
ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect.
CVPR
Dachong Li, Li Li, Zhuangzhuang Chen, Jianqiang Li
2025 J jnl
Tailoring Fault-Tolerance to Quantum Algorithms.
IEEE J. Sel. Areas Inf. Theory
Zhuangzhuang Chen, Narayanan Rengaswamy
2025 J jnl
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation.
CoRR
Pengchen Liang, Haishan Huang, Bin Pu, Jianguo Chen, Xiang Hua, Jing Zhang, Weibo Ma, Zhuangzhuang Chen, Yiwei Li, Qing Chang
2024 J jnl
Implicit Gradient-Modulated Semantic Data Augmentation for Deep Crack Recognition.
IEEE Trans. Intell. Transp. Syst.
Zhuangzhuang Chen, Ronghao Lu, Jie Chen, Houbing Herbert Song, Jianqiang Li
2024 J jnl
Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT.
Comput. Biol. Medicine
Yifan Zhang, Zhuangzhuang Chen, Xuan Yang
2024 A* conf
Mind marginal non-crack regions: Clustering-inspired representation learning for crack segmentation.
CVPR
Zhuangzhuang Chen, Zhuonan Lai, Jie Chen, Jianqiang Li
2024 J jnl
Shift-ConvNets: Small Convolutional Kernel with Large Kernel Effects.
CoRR
Dachong Li, Li Li, Zhuangzhuang Chen, Jianqiang Li
2024 J jnl
Tailoring Fault-Tolerance to Quantum Algorithms.
CoRR
Zhuangzhuang Chen, Narayanan Rengaswamy
2024 Misc conf
Tailoring Fault-Tolerance to Trotter Circuits.
QCE
Zhuangzhuang Chen, Narayanan Rengaswamy
2023 — conf
Defect Screening on Nuclear Power Plant Concrete Structures: A Two-staged Method Based on Contrastive Representation Learning.
ICARM
Wenlian Huang, Guanming Zhu, Qiang Huang, Zhuangzhuang Chen, Jie Chen, Jian-Qiang Li
2023 A* conf
The Devil is in the Crack Orientation: A New Perspective for Crack Detection.
ICCV
Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li
2023 — conf
Visual Explanations: Activation-Based Acute Lymphoblastic Leukemia Cell Classification.
ICDL
Muhammad Umair Raza, Adil Nawaz, Xintong Liu, Zhuangzhuang Chen, Victor C. M. Leung, Jie Chen, Jianqiang Li
2022 — conf
Automatic Thin Crack Segmentation with Deep Context Aggregation Network.
ICARM
Xiaoyu Zhao, Wenlian Huang, Jie Chen, Zhuangzhuang Chen, Jianqiang Li
2022 A* conf
Geometry-Aware Guided Loss for Deep Crack Recognition.
CVPR
Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li
2022 J jnl
Integrated Air-Ground Vehicles for UAV Emergency Landing Based on Graph Convolution Network.
IEEE Internet Things J.
Jie Chen, Yifan Zhang, Jianqiang Li, Weiming Du, Zhuangzhuang Chen, Zun Liu, Huihui Wang, Victor C. M. Leung
2022 J jnl
MetaGanFi: Cross-Domain Unseen Individual Identification Using WiFi Signals.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Jin Zhang, Zhuangzhuang Chen, Chengwen Luo, Bo Wei, Salil S. Kanhere, Jianqiang Li
2022 — conf
When Active Learning Meets Implicit Semantic Data Augmentation.
ECCV (25)
Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li
2021 J jnl
Diversity-Sensitive Generative Adversarial Network for Terrain Mapping Under Limited Human Intervention.
IEEE Trans. Cybern.
Jianqiang Li, Zhuangzhuang Chen, Jie Chen, Qiuzhen Lin
2020 — conf
A GCN-Based Decision-Making Network for Autonomous UAV Landing.
ICARM
Yifan Zhang, Jianqiang Li, Jie Chen, Zun Liu, Zhuangzhuang Chen
2020 J jnl
A novel edge-enabled SLAM solution using projected depth image information.
Neural Comput. Appl.
Jian-Qiang Li, Yifan Zhang, Zhuangzhuang Chen, Jia Wang, Min Fang, Cheng-wen Luo, Huihui Wang
2020 J jnl
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.
Jianqiang Li, Xiaofeng Shi, Zhu-Hong You, Hai-Cheng Yi, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang
2019 — conf
A GAN-based Active Terrain Mapping for Collaborative Air-Ground Robotic System.
ICARM
Jie Chen, Zhuangzhuang Chen, Min Fang, Jianqiang Li, Zhong Ming, Shulan Wang
2019 J jnl
Automatic Classification of Fetal Heart Rate Based on Convolutional Neural Network.
IEEE Internet Things J.
Jianqiang Li, Zhuangzhuang Chen, Luxiang Huang, Min Fang, Bing Li, Xianghua Fu, Huihui Wang, Qingguo Zhao
2018 — conf
Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information.
ICIC (1)
Jianqiang Li, Xiaofeng Shi, Zhuhong You, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang