Yi-Hsin Chen

According to our database, Yi-Hsin Chen authored at least 44 papers between 1986 and 2026.

Collaborative distances:

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

2026

Belief Propagation-Based Polar Decoders With Schedule Diversity.

Cheng-Jun You, Yi-Hsin Chen, Chen-Wei Hu, Huang-Chang Lee, Yen-Ming Chen

IEEE Trans. Commun., 2026

Benchmarking domain adaptation methods for cross-site antimicrobial resistance prediction from MALDI-TOF mass spectrometry data.

Ming-I Chen, Ying-Lin Hsu, Yi-Hsin Chen

Comput. Biol. Chem., 2026

A Rate-Distortion-Complexity Analysis of Neural Video CODECs.

Ricardo L. de Queiroz, Diogo C. Garcia, Yi-Hsin Chen, Ruhan Conceição, Wen-Hsiao Peng, Luciano V. Agostini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

2025

Progressive COOL-CHIC: Efficient Decoding for Dual-Resolution Images.

Martin Benjak, Yi-Hsin Chen, Wen-Hsiao Peng, Jörn Ostermann

Proceedings of the International Conference on Visual Communications and Image Processing, 2025

A Cross-Framework Study of Temporal Information Buffering Strategies for Learned Video Compression.

Kuan-Wei Ho, Yi-Hsin Chen, Martin Benjak, Jörn Ostermann, Wen-Hsiao Peng

Proceedings of the Picture Coding Symposium, 2025

Scalable COOL-CHIC: Dual-Resolution Images from a Single Bitstream.

Martin Benjak, Yi-Hsin Chen, Wen-Hsiao Peng, Jörn Ostermann

Proceedings of the Picture Coding Symposium, 2025

MaskCRT-B: Masked Conditional Residual Transformer for Learned B-frame Coding.

Zong-Lin Gao, Yi-Chen Yao, Kuan-Wei Ho, Yi-Hsin Chen, Wen-Hsiao Peng

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Conditional Residual Coding with Explicit-Implicit Temporal Buffering for Learned Video Compression.

Yi-Hsin Chen, Kuan-Wei Ho, Martin Benjak, Jörn Ostermann, Wen-Hsiao Peng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression.

Yu-Ting Zhan, Cheng-Yuan Ho, Hebi Yang, Yi-Hsin Chen, Jui-Chiu Chiang, Yu-Lun Liu, Wen-Hsiao Peng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bridging Compressed Image Latents and Multimodal Large Language Models.

Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding.

Huu-Tai Phung, Zong-Lin Gao, Yi-Chen Yao, Kuan-Wei Ho, Yi-Hsin Chen, Yu-Hsiang Lin, Alessandro Gnutti, Wen-Hsiao Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

HyTIP: Hybrid Temporal Information Propagation for Masked Conditional Residual Video Coding.

Yi-Hsin Chen, Yi-Chen Yao, Kuan-Wei Ho, Chun-Hung Wu, Huu-Tai Phung, Martin Benjak, Jörn Ostermann, Wen-Hsiao Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression.

Yi-Hsin Chen, Hong-Sheng Xie, Cheng-Wei Chen, Zong-Lin Gao, Martin Benjak, Wen-Hsiao Peng, Jörn Ostermann

IEEE Trans. Circuits Syst. Video Technol., November, 2024

B-CANF: Adaptive B-Frame Coding With Conditional Augmented Normalizing Flows.

Mu-Jung Chen, Yi-Hsin Chen, Wen-Hsiao Peng

IEEE Trans. Circuits Syst. Video Technol., April, 2024

ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck.

Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi

CoRR, 2024

Using Conditional Video Compressors for Image Restoration.

Yi-Hsin Chen, Yen-Kuan Ho, Ting-Han Lin, Wen-Hsiao Peng, Ching-Chun Huang

Proceedings of the 33rd Wireless and Optical Communications Conference, 2024

Transformer-Based Learned Image Compression for Joint Decoding and Denoising.

Yi-Hsin Chen, Kuan-Wei Ho, Shiau-Rung Tsai, Guan-Hsun Lin, Alessandro Gnutti, Wen-Hsiao Peng, Riccardo Leonardi

Proceedings of the Picture Coding Symposium, 2024

On the Rate-Distortion-Complexity Trade-Offs of Neural Video Coding.

Yi-Hsin Chen, Kuan-Wei Ho, Martin Benjak, Jörn Ostermann, Wen-Hsiao Peng

Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Lidar Depth Map Guided Image Compression Model.

Alessandro Gnutti, Stefano Della Fiore, Mattia Savardi, Yi-Hsin Chen, Riccardo Leonardi, Wen-Hsiao Peng

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Content-Adaptive Motion Rate Adaption for Learned Video Compression.

Chih-Hsuan Lin, Yi-Hsin Chen, Wen-Hsiao Peng

CoRR, 2023

Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information.

Hong-Sheng Xie, Yi-Hsin Chen, Wen-Hsiao Peng, Martin Benjak, Jörn Ostermann

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Learning-Based Scalable Video Coding with Spatial and Temporal Prediction.

Martin Benjak, Yi-Hsin Chen, Wen-Hsiao Peng, Jörn Ostermann

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Continually-Adapted Margin and Multi-Anchor Distillation for Class-Incremental Learning.

Yi-Hsin Chen, Dian-Shan Chen, Ying-Chieh Weng, Wen-Hsiao Peng, Wei-Chen Chiu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Transformer-Based Variable-Rate Image Compression with Region-of-Interest Control.

Chia-Hao Kao, Ying-Chieh Weng, Yi-Hsin Chen, Wei-Chen Chiu, Wen-Hsiao Peng

Proceedings of the IEEE International Conference on Image Processing, 2023

TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception.

Yi-Hsin Chen, Ying-Chieh Weng, Chia-Hao Kao, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution.

Yi-Hsin Chen, Si-Cun Chen, Yi-Hsin Chen, Yen-Yu Lin, Wen-Hsiao Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution.

Yi-Hsin Chen, Si-Cun Chen, Yi-Hsin Chen, Yen-Yu Lin, Wen-Hsiao Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transformer-based Image Compression with Variable Image Quality Objectives.

Chia-Hao Kao, Yi-Hsin Chen, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows.

Mu-Jung Chen, Yi-Hsin Chen, Peng-Yu Chen, Chih Hsuan Lin, Yung-Han Ho, Wen-Hsiao Peng

CoRR, 2022

Content-Adaptive Motion Rate Adaption For Learned Video Compression.

Chih Hsuan Lin, Yi-Hsin Chen, Wen-Hsiao Peng

Proceedings of the Picture Coding Symposium, 2022

Design a Robot as a Double with Micro-expression to Participate in a Virtual Situational Learning Environment and its Effect on Students' Learning Performance.

Vando Gusti Al Hakim, Su-Hang Yang, Jen-Hang Wang, Yi-Jing Li, Yi-Hsin Chen, Gwo-Dong Chen

Proceedings of the Proceeding of the 30th International Conference on Computers in Education, 2022

ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification.

Yen-Hao Huang, Yi-Hsin Chen, Yi-Shin Chen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

LiBRA: A Linguistic Bipolar Disorder Recognition Approach.

Yen-Hao Huang, Yi-Hsin Chen, Fernando H. Calderon, Yuwen Lai, Shu-I Wu, Yi-Shin Chen

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Enhance Face Recognition Using Time-series Face Images.

Han Tung Chen, Guan Ying Peng, Kai Chi Chang, Jia Yi Lin, Yi-Hsin Chen, Yu Kai Lin, Chao-Yi Huang, Jong-Chen Chen

Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2021

Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling.

Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models.

Thanh V. Pham, Jeffrey D. Kromrey, Yi-Hsin Chen, Eun Sook Kim, Diep T. Nguyen, Yan Wang

J. Stat. Softw., 2020

Class-Incremental Learning with Rectified Feature-Graph Preservation.

Cheng-Hsun Lei, Yi-Hsin Chen, Wen-Hsiao Peng, Wei-Chen Chiu

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Clouds Classification from Sentinel-2 Imagery with Deep Residual Learning and Semantic Image Segmentation.

Cheng-Chien Liu, Yu-Cheng Zhang, Pei-Yin Chen, Chien-Chih Lai, Yi-Hsin Chen, Ji-Hong Cheng, Ming-Hsun Ko

Remote. Sens., 2019

EmotionX-IDEA: Emotion BERT - an Affectional Model for Conversation.

Yen-Hao Huang, Ssu-Rui Lee, Mau-Yun Ma, Yi-Hsin Chen, Ya-Wen Yu, Yi-Shin Chen

CoRR, 2019

Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences.

Yen-Hao Huang, Yi-Hsin Chen, Fernando Henrique Calderon Alvarado, Ssu-Rui Lee, Shu-I Wu, Yuwen Lai, Yi-Shin Chen

CoRR, 2019

2017

No More Discrimination: Cross City Adaptation of Road Scene Segmenters.

Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun

Proceedings of the IEEE International Conference on Computer Vision, 2017

2015

Supporting the annual international black-faced spoonbill census with a low-cost unmanned aerial vehicle.

Cheng-Chien Liu, Yi-Hsin Chen, Hui-Lin Wen

Ecol. Informatics, 2015

1987

PANDA: Processing Algorithm for Noncoded Document Acquisition.

Yi-Hsin Chen, Fred Mintzer, Keith S. Pennington

IBM J. Res. Dev., 1987

1986

A binary representation of mixed documents (text/Graphic/Image) that compresses.

Yi-Hsin Chen, Frederick C. Mintzer, Keith S. Pennington

Proceedings of the IEEE International Conference on Acoustics, 1986