Toward Building an Academic Search Engine Understanding the Purposes of the Matched Sentences in an Abstract. - Li-Yuan Hsu; Chia-Hao Kao; I-Sheng Jheng; Hung-Hsuan Chen (IEEE Access, 2021)

Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265. - Yung-Han Ho; Chia-Hao Kao; Wen-Hsiao Peng; Ping-Chun Hsieh (VCIP, 2022)

Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization. - Yung-Han Ho; Yun Liang 015; Chia-Hao Kao; Wen-Hsiao Peng (CoRR, 2022)

Transformer-based Image Compression with Variable Image Quality Objectives. - Chia-Hao Kao; Yi-Hsin Chen; Cheng Chien; Wei-Chen Chiu; Wen-Hsiao Peng (APSIPA ASC, 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 (ICCV, 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 (ICIP, 2023)

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)

Learning Optimal Linear Block Transform by Rate Distortion Minimization. - Alessandro Gnutti; Chia-Hao Kao; Wen-Hsiao Peng; Riccardo Leonardi (DCC, 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 (ICLR, 2025)