| 2026 | ISCAS | A Rate-Distortion-Complexity Analysis of Neural Video CODECs. | Ricardo L. de Queiroz, Diogo C. Garcia, Yi-Hsin Chen, Ruhan Conceio, Wen-Hsiao Peng, Luciano V. Agostini |
| 2025 | ICCV | 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, Jrn Ostermann, Wen-Hsiao Peng |
| 2025 | ICCV | 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 |
| 2025 | ICIP | Learned Hybrid Video Coding for Human Perception and Multiple Machine Vision Tasks. | Martin Benjak, Saifullah Khan, Yi-Hsin Chen, Wen-Hsiao Peng, Jrn Ostermann |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ISCAS | 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 |
| 2025 | PCS | Scalable COOL-CHIC: Dual-Resolution Images from a Single Bitstream. | Martin Benjak, Yi-Hsin Chen, Wen-Hsiao Peng, Jrn Ostermann |
| 2025 | PCS | A Cross-Framework Study of Temporal Information Buffering Strategies for Learned Video Compression. | Kuan-Wei Ho, Yi-Hsin Chen, Martin Benjak, Jrn Ostermann, Wen-Hsiao Peng |
| 2025 | VCIP | Progressive COOL-CHIC: Efficient Decoding for Dual-Resolution Images. | Martin Benjak, Yi-Hsin Chen, Wen-Hsiao Peng, Jrn Ostermann |
| 2024 | ICIP | Lidar Depth Map Guided Image Compression Model. | Alessandro Gnutti, Stefano Della Fiore, Mattia Savardi, Yi-Hsin Chen, Riccardo Leonardi, Wen-Hsiao Peng |
| 2024 | MMSP | On the Rate-Distortion-Complexity Trade-Offs of Neural Video Coding. | Yi-Hsin Chen, Kuan-Wei Ho, Martin Benjak, Jrn Ostermann, Wen-Hsiao Peng |
| 2024 | PCS | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICIP | 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 |
| 2023 | SMC | 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 |
| 2023 | VCIP | Learning-Based Scalable Video Coding with Spatial and Temporal Prediction. | Martin Benjak, Yi-Hsin Chen, Wen-Hsiao Peng, Jrn Ostermann |
| 2023 | VCIP | Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information. | Hong-Sheng Xie, Yi-Hsin Chen, Wen-Hsiao Peng, Martin Benjak, Jrn Ostermann |
| 2022 | COLING | ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification. | Yen-Hao Huang, Yi-Hsin Chen, Yi-Shin Chen |
| 2022 | ICCE | 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 |
| 2022 | PCS | Content-Adaptive Motion Rate Adaption For Learned Video Compression. | Chih Hsuan Lin, Yi-Hsin Chen, Wen-Hsiao Peng |
| 2021 | CVPR | 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 |
| 2021 | IRI | LiBRA: A Linguistic Bipolar Disorder Recognition Approach. | Yen-Hao Huang, Yi-Hsin Chen, Fernando H. Calderon, Yuwen Lai, Shu-I Wu, Yi-Shin Chen |
| 2020 | ACCV | Class-Incremental Learning with Rectified Feature-Graph Preservation. | Cheng-Hsun Lei, Yi-Hsin Chen, Wen-Hsiao Peng, Wei-Chen Chiu |
| 2017 | ICCV | 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 |
| 1986 | ICASSP | A binary representation of mixed documents (text/Graphic/Image) that compresses. | Yi-Hsin Chen, Frederick C. Mintzer, Keith S. Pennington |