Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information. - Jianqiang Li 001; Xiaofeng Shi; Zhuhong You; Zhuangzhuang Chen; Qiuzhen Lin; Min Fang (ICIC (1), 2018)

A GAN-based Active Terrain Mapping for Collaborative Air-Ground Robotic System. - Jie Chen 027; Zhuangzhuang Chen; Min Fang; Jianqiang Li 001; Zhong Ming 001; Shulan Wang (ICARM, 2019)

Automatic Classification of Fetal Heart Rate Based on Convolutional Neural Network. - Jianqiang Li 001; Zhuangzhuang Chen; Luxiang Huang; Min Fang; Bing Li; Xianghua Fu; Huihui Wang 001; Qingguo Zhao (IEEE Internet Things J., 2019)

A GCN-Based Decision-Making Network for Autonomous UAV Landing. - Yifan Zhang; Jianqiang Li 001; Jie Chen 027; Zun Liu; Zhuangzhuang Chen (ICARM, 2020)

A novel edge-enabled SLAM solution using projected depth image information. - Jian-qiang Li 001; Yi-Fan Zhang; Zhuangzhuang Chen; Jia Wang 008; Min Fang; Cheng-wen Luo 001; Huihui Wang 001 (Neural Comput. Appl., 2020)

Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information. - Jianqiang Li 001; Xiaofeng Shi; Zhu-Hong You; Hai-Cheng Yi; Zhuangzhuang Chen; Qiuzhen Lin; Min Fang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Diversity-Sensitive Generative Adversarial Network for Terrain Mapping Under Limited Human Intervention. - Jianqiang Li 001; Zhuangzhuang Chen; Jie Chen 027; Qiuzhen Lin (IEEE Trans. Cybern., 2021)

Geometry-Aware Guided Loss for Deep Crack Recognition. - Zhuangzhuang Chen; Jin Zhang 013; Zhuonan Lai; Jie Chen 027; Zun Liu; Jianqiang Li 001 (CVPR, 2022)

When Active Learning Meets Implicit Semantic Data Augmentation. - Zhuangzhuang Chen; Jin Zhang 013; Pan Wang; Jie Chen 027; Jianqiang Li 001 (ECCV (25), 2022)

Automatic Thin Crack Segmentation with Deep Context Aggregation Network. - Xiaoyu Zhao; Wenlian Huang; Jie Chen 027; Zhuangzhuang Chen; Jianqiang Li 001 (ICARM, 2022)

MetaGanFi: Cross-Domain Unseen Individual Identification Using WiFi Signals. - Jin Zhang 013; Zhuangzhuang Chen; Chengwen Luo 001; Bo Wei 003; Salil S. Kanhere; Jianqiang Li 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Integrated Air-Ground Vehicles for UAV Emergency Landing Based on Graph Convolution Network. - Jie Chen 027; Yifan Zhang; Jianqiang Li 001; Weiming Du; Zhuangzhuang Chen; Zun Liu; Huihui Wang 001; Victor C. M. Leung (IEEE Internet Things J., 2022)

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 027; Jian-Qiang Li 001 (ICARM, 2023)

The Devil is in the Crack Orientation: A New Perspective for Crack Detection. - Zhuangzhuang Chen; Jin Zhang 013; Zhuonan Lai; Guanming Zhu; Zun Liu; Jie Chen 027; Jianqiang Li 001 (ICCV, 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 027; Jianqiang Li 001 (ICDL, 2023)

Mind marginal non-crack regions: Clustering-inspired representation learning for crack segmentation. - Zhuangzhuang Chen; Zhuonan Lai; Jie Chen 027; Jianqiang Li 001 (CVPR, 2024)

Tailoring Fault-Tolerance to Trotter Circuits. - Zhuangzhuang Chen; Narayanan Rengaswamy (QCE, 2024)

Shift-ConvNets: Small Convolutional Kernel with Large Kernel Effects. - Dachong Li; Li Li; Zhuangzhuang Chen; Jianqiang Li 001 (CoRR, 2024)

Tailoring Fault-Tolerance to Quantum Algorithms. - Zhuangzhuang Chen; Narayanan Rengaswamy (CoRR, 2024)

Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT. - Yifan Zhang; Zhuangzhuang Chen; Xuan Yang (Comput. Biol. Medicine, 2024)

Implicit Gradient-Modulated Semantic Data Augmentation for Deep Crack Recognition. - Zhuangzhuang Chen; Ronghao Lu; Jie Chen 027; Houbing Herbert Song; Jianqiang Li 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Attack-inspired Calibration Loss for Calibrating Crack Recognition. - Zhuangzhuang Chen; Qiangyu Chen; Jiahao Zhang; Zhiliang Lin; Xingyu Feng; Jie Chen; Jianqiang Li (AAAI, 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 013; Shengli Li 001; Kenli Li 001 (AAAI, 2025)

MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation. - Zhuangzhuang Chen; Hualiang Wang; Chubin Ou; Xiaomeng Li 001 (CVPR, 2025)

ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect. - Dachong Li; Li Li; Zhuangzhuang Chen; Jianqiang Li 001 (CVPR, 2025)

Divide and augment: Supervised domain adaptation via sample-wise feature fusion. - Zhuangzhuang Chen; Bin Pu; Lei Zhao 013; Jie He; Pengchen Liang (Inf. Fusion, 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 001; Lei Zhao 013; Haishan Huang; Zhuangzhuang Chen; Zhaozhao Xu; Lite Xu; Qing Chang; Yiwei Li (CoRR, 2025)

Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation. - Pengchen Liang; Haishan Huang; Bin Pu; Jianguo Chen 001; Xiang Hua; Jing Zhang; Weibo Ma; Zhuangzhuang Chen; Yiwei Li; Qing Chang (CoRR, 2025)

Fault Tolerant Quantum Simulation via Symplectic Transvections. - Zhuangzhuang Chen; Jack Owen Weinberg; Narayanan Rengaswamy (CoRR, 2025)

Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting. - Zheang Huai; Hui Tang; Yi Li 050; Zhuangzhuang Chen; Xiaomeng Li 001 (CoRR, 2025)

MambaSAM: A Visual Mamba-Adapted SAM Framework for Medical Image Segmentation. - Pengchen Liang; Leijun Shi; Bin Pu; Renkai Wu; Jianguo Chen 001; Lixin Zhou; Lite Xu; Zhuangzhuang Chen; Qing Chang; Yiwei Li (IEEE J. Biomed. Health Informatics, 2025)