Silin Chen

According to our database, Silin Chen authored at least 26 papers between 2021 and 2025.

Collaborative distances:

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

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, July, 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, February, 2025

Generative Adversarial Networks Bridging Art and Machine Intelligence.

Junhao Song, Yichao Zhang, Ziqian Bi, Tianyang Wang, Keyu Chen, Ming Li, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Liu, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Pohsun Feng, Yizhu Wen, Lawrence KQ Yan, Hong-Ming Tseng, Xinyuan Song, Jintao Ren, Silin Chen, Yunze Wang, Weiche Hsieh, Bowen Jing, Junjie Yang, Jun Zhou, Zheyu Yao, Chia Xin Liang

CoRR, February, 2025

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings.

Tianyang Wang, Silin Chen, Yunze Wang, Yichao Zhang, Xinyuan Song, Ziqian Bi, Ming Liu, Qian Niu, Junyu Liu, Pohsun Feng, Xintian Sun, Benji Peng, Charles Zhang, Keyu Chen, Ming Li, Cheng Fei, Lawrence KQ Yan

CoRR, February, 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, Ming Li, Pohsun Feng, Ziqian Bi, Ming Liu, Yichao Zhang, Cheng Fei, Caitlyn Heqi Yin, Lawrence KQ Yan

CoRR, January, 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

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

Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection.

Tianwu Lei, Silin Chen, Bohan Wang, Zhengkai Jiang, Ningmu Zou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

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

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

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, Ming Li, Pohsun Feng, Ziqian Bi, Yunze Wang, Yichao Zhang, Cheng Fei, Lawrence KQ Yan

CoRR, 2024

Deep Learning Model Security: Threats and Defenses.

Tianyang Wang, Ziqian Bi, Yichao Zhang, Ming Liu, Weiche Hsieh, Pohsun Feng, Lawrence KQ Yan, Yizhu Wen, Benji Peng, Junyu Liu, Keyu Chen, Sen Zhang, Ming Li, Chuanqi Jiang, Xinyuan Song, Junjie Yang, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Silin Chen, Yunze Wang, Chia Xin Liang, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Qian Niu

CoRR, 2024

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management.

Weiche Hsieh, Ziqian Bi, Keyu Chen, Benji Peng, Sen Zhang, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Chia Xin Liang, Jintao Ren, Qian Niu, Silin Chen, Lawrence KQ Yan, Han Xu, Hong-Ming Tseng, Xinyuan Song, Bowen Jing, Junjie Yang, Junhao Song, Junyu Liu, Ming Liu

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, Pohsun Feng, Yizhu Wen, Xinyuan Song, Tianyang Wang, Ming Liu, Junjie Yang, Ming Li, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Yichao Zhang, Lawrence KQ Yan, Qian Niu, Silin Chen, Yunze Wang, Chia Xin Liang

CoRR, 2024

Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application.

Keyu Chen, Cheng Fei, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Weiche Hsieh, Lawrence KQ Yan, Chia Xin Liang, Han Xu, Hong-Ming Tseng, Xinyuan Song, Ming Liu

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, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Ming Liu

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, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Ming Liu

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, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Silin Chen, Ming Li, Jiawei Xu, Ming Liu

CoRR, 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

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

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Real-Time Ultrasound Imaging System for Drone and Robotic Applications.

Jinhong Ahn, Silin Chen, Junwei Feng, Hyunseung Lee, Junbeom Park, Hyoungjoon Kim, Jerald Yoo

Proceedings of the 21st International SoC Design Conference, 2024

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Spatial-Channel Enhanced Transformer for Visible-Infrared Person Re-Identification.

Jiaqi Zhao, Hanzheng Wang, Yong Zhou, Rui Yao, Silin Chen, Abdulmotaleb El-Saddik

IEEE Trans. Multim., 2023

Info-FPN: An Informative Feature Pyramid Network for object detection in remote sensing images.

Silin Chen, Jiaqi Zhao, Yong Zhou, Hanzheng Wang, Rui Yao, Lixu Zhang, Yong Xue

Expert Syst. Appl., 2023

2022

CLT-Det: Correlation Learning Based on Transformer for Detecting Dense Objects in Remote Sensing Images.

Yong Zhou, Silin Chen, Jiaqi Zhao, Rui Yao, Yong Xue, Abdulmotaleb El-Saddik

IEEE Trans. Geosci. Remote. Sens., 2022

Spatial-Temporal Based Multihead Self-Attention for Remote Sensing Image Change Detection.

Yong Zhou, Fengkai Wang, Jiaqi Zhao, Rui Yao, Silin Chen, Heping Ma

IEEE Trans. Circuits Syst. Video Technol., 2022

2021

AMC-Net: Attentive modality-consistent network for visible-infrared person re-identification.

Hanzheng Wang, Jiaqi Zhao, Yong Zhou, Rui Yao, Ying Chen, Silin Chen

Neurocomputing, 2021