AMC-Net: Attentive modality-consistent network for visible-infrared person re-identification. - Hanzheng Wang; Jiaqi Zhao 001; Yong Zhou 003; Rui Yao; Ying Chen 005; Silin Chen (Neurocomputing, 2021)

Spatial-Temporal Based Multihead Self-Attention for Remote Sensing Image Change Detection. - Yong Zhou 003; Fengkai Wang; Jiaqi Zhao 001; Rui Yao; Silin Chen; Heping Ma (IEEE Trans. Circuits Syst. Video Technol., 2022)

CLT-Det: Correlation Learning Based on Transformer for Detecting Dense Objects in Remote Sensing Images. - Yong Zhou 003; Silin Chen; Jiaqi Zhao 001; Rui Yao; Yong Xue; Abdulmotaleb El-Saddik (IEEE Trans. Geosci. Remote. Sens., 2022)

Info-FPN: An Informative Feature Pyramid Network for object detection in remote sensing images. - Silin Chen; Jiaqi Zhao 001; Yong Zhou 003; Hanzheng Wang; Rui Yao; Lixu Zhang; Yong Xue (Expert Syst. Appl., 2023)

Spatial-Channel Enhanced Transformer for Visible-Infrared Person Re-Identification. - Jiaqi Zhao 001; Hanzheng Wang; Yong Zhou 003; Rui Yao; Silin Chen; Abdulmotaleb El-Saddik (IEEE Trans. Multim., 2023)

Pseudo Training Data Generation for Unsupervised Cell Membrane Segmentation in Immunohistochemistry Images. - Xi Long; Tianyang Wang; Yanjia Kan; Yunze Wang; Silin Chen; Albert Zhou; Xianxu Hou; Jingxin Liu (BIBM, 2024)

Real-Time Ultrasound Imaging System for Drone and Robotic Applications. - Jinhong Ahn; Silin Chen; Junwei Feng; Hyunseung Lee 001; Junbeom Park; Hyoungjoon Kim; Jerald Yoo (ISOCC, 2024)

6.5 A 0.5° - Resolution Hybrid Dual-Band Ultrasound Imaging SoC for UAV Applications. - Jiaqi Guo; Junwei Feng; Silin Chen; Liuhao Wu; Chne-Wuen Tsai; Yingna Huang; Bochi Lin; Jerald Yoo (ISSCC, 2024)

Texture-AD: An Anomaly Detection Dataset and Benchmark for Real Algorithm Development. - Tianwu Lei; Bohan Wang; Silin Chen; Shurong Cao; Ningmu Zou (CoRR, 2024)

Deep Learning and Machine Learning - Object Detection and Semantic Segmentation: From Theory to Applications. - Jintao Ren; Ziqian Bi; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jinlang Wang; Keyu Chen 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning and Machine Learning - Python Data Structures and Mathematics Fundamental: From Theory to Practice. - Silin Chen; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application. - Weiche Hsieh; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Caitlyn Heqi Yin; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application. - Keyu Chen 002; Cheng Fei; Ziqian Bi; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Caitlyn Heqi Yin; Yichao Zhang 002; Pohsun Feng; et al. (CoRR, 2024)

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. - Weiche Hsieh; Ziqian Bi; Chuanqi Jiang; Junyu Liu; Benji Peng; Sen Zhang; Xuanhe Pan; Jiawei Xu; Jinlang Wang; Keyu Chen 002; Pohsun Feng; Yizhu Wen; et al. (CoRR, 2024)

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management. - Weiche Hsieh; Ziqian Bi; Keyu Chen 002; Benji Peng; Sen Zhang; Jiawei Xu; Jinlang Wang; Caitlyn Heqi Yin; Yichao Zhang 002; Pohsun Feng; Yizhu Wen; Tianyang Wang; et al. (CoRR, 2024)

Deep Learning Model Security: Threats and Defenses. - Tianyang Wang; Ziqian Bi; Yichao Zhang 002; Ming Liu; Weiche Hsieh; Pohsun Feng; Lawrence KQ Yan; Yizhu Wen; Benji Peng; Junyu Liu; Keyu Chen 002; Sen Zhang; et al. (CoRR, 2024)

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development. - Tianyang Wang; Ming Liu; Benji Peng; Xinyuan Song; Charles Zhang; Xintian Sun; Qian Niu; Junyu Liu; Silin Chen; Keyu Chen 002; Ming Li 075; Pohsun Feng; et al. (CoRR, 2024)

When Transformer Meets Layout Hotspot: An End-to-End Transformer-based Detector with Prior Lithography. - Wenbo Xu; Silin Chen; Jiale Li; Kangjian Di; Yuxiang Fu; Ningmu Zou (ACM Great Lakes Symposium on VLSI, 2025)

Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection. - Tianwu Lei; Silin Chen; Bohan Wang; Zhengkai Jiang 003; Ningmu Zou (ICIC (11), 2025)

Integrated bioinformatics analysis to explore potential therapeutic targets and drugs for small cell carcinoma of the esophagus. - Maofei Zhu; Yueming Chu; Qiang Yuan; Junfeng Li; Silin Chen; Lin Li (Frontiers Bioinform., 2025)

Look Twice and Closer: A Coarse-to-Fine Segmentation Network for Small Objects in Remote Sensing Images. - Silin Chen; Qingzhong Wang; Kangjian Di; Haoyi Xiong; Ningmu Zou (IEEE Signal Process. Lett., 2025)

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence. - Tianyang Wang; Yunze Wang; Jun Zhou; Benji Peng; Xinyuan Song; Charles Zhang; Xintian Sun; Qian Niu; Junyu Liu; Silin Chen; Keyu Chen 002; Ming Li 075; et al. (CoRR, 2025)

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings. - Tianyang Wang; Silin Chen; Yunze Wang; Yichao Zhang 002; Xinyuan Song; Ziqian Bi; Ming Liu; Qian Niu; Junyu Liu; Pohsun Feng; Xintian Sun; Benji Peng; et al. (CoRR, 2025)

Generative Adversarial Networks Bridging Art and Machine Intelligence. - Junhao Song; Yichao Zhang 002; Ziqian Bi; Tianyang Wang; Keyu Chen 002; Ming Li 075; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Ming Liu; Jiawei Xu; et al. (CoRR, 2025)

FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection. - Silin Chen; Kangjian Di; Yichu Xu; Han-Jia Ye; Wenhan Luo; Ningmu Zou (CoRR, 2025)

SWE-Exp: Experience-Driven Software Issue Resolution. - Silin Chen; Shaoxin Lin; Xiaodong Gu; Yuling Shi; Heng Lian; Longfei Yun; Dong Chen; Weiguo Sun; Lin Cao; Qianxiang Wang (CoRR, 2025)