Jinming Liu (刘津铭)

Biography

This is Jinming Liu, I’m a second-year Ph.D. student at Shanghai Jiao Tong University (SJTU) and Eastern Institute for Advanced Study (EIT), advised by Prof. Wenjun Zeng and Prof. Xin Jin. Before that, I received my master degree from Waseda University under the supervision of Prof. Jiro Katto and Prof. Heming Sun , and I spent my undergraduate years in the School of Information Science and Engineering, Southeast University, from 2016 to 2020.

My research interests mainly focus on video-language model, multimodal large model, image compression and generation.

Education

Mar. 2023 - Present    Ph.D. Candidate, Shanghai Jiao Tong University

Sep. 2020 - Sep. 2022    Master, Waseda University

Sep. 2016 - Jun. 2020    Bachelor of Engineering, Southeast University

Intern Experience

Sep. 2024 - Present    Huawei, Algorithm Research Intern, Advisor: Dongsheng Jiang

Apr. 2024 - Aug. 2024    Alibaba Cloud, Algorithm Research Intern, Advisor: Jieping Ye (IEEE Fellow)

Jun. 2021 - Sep. 2021    ByteDance, Algorithm Engineer Intern

Nov. 2020 - Feb. 2021    Meituan, Algorithm Engineer Intern

Selected Publication

• Jinming Liu, Heming Sun, and Jiro Katto, “Learned Image Compression based on Mixed Transformer-CNN Architectures”, CVPR 2023, Highlight (Top 10% of accepted papers, 2.6% of submissions).
• Jinming Liu, Ruoyu Feng, Yunpeng Qi, Qiuyu Chen, Zhibo Chen, Wenjun Zeng, Xin Jin, “Rate-Distortion-Cognition Controllable Single Versatile Neural Image Compression”, ECCV 2024.
• Fangzheng Lin, Heming Sun, Jinming Liu, Jiro Katto, “Multistage Spatial Context Models for Learned Image Compression”, ICASSP 2023.
• Jinming Liu, Xin Jin, Ruoyu Feng, Zhibo Chen, Wenjun Zeng, “Composable Image Coding for Machine via Task-oriented Internal Adaptor and External Prior”, VCIP 2023, Oral.
• Jinming Liu, Heming Sun, and Jiro Katto, “Semantic Segmentation in Learned Compressed Domain”, PCS 2022, Best Paper Finalist.
• Jinming Liu, Heming Sun, and Jiro Katto, “Improving Multiple Machine Vision Tasks in the Compressed Domain”, ICPR 2022.
• Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin, “Semantics Disentanglement and Composition for Versatile Codec toward both Human-eye Perception and Machine Vision Task”, (under review).
• Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin, “Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs”, (under review).
• Ruoyu Feng, Jinming Liu, Xin Jin, Xiaohan Pan, Heming Sun, Zhibo Chen, “Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts” (Equal contribution, under review).

Academic Services

Invited Reviewer for IEEE TCSVT, TIP, etc.

Invited Reviewer for ECCV, ICCV, ACM MM, etc.