Yunqing Liu

Researcher, Shanghai Laboratory, Fujitsu Research & Development Center Co., Ltd.

Joined

February 2025

Names

Yunqing Liu (Preferred)

Emails

****@fujitsu.com (Confirmed)

Personal Links

ORCID

Career & Education History

Researcher

Shanghai Laboratory, Fujitsu Research & Development Center Co., Ltd. (fujitsu.com)

2024 – Present

Postdoc

School of Engineering, The Hong Kong University of Science and Technology (ust.hk)

2023 – 2024

PhD student

School of Mechanical Engineering, Shanghai Jiao Tong University (sjtu.edu.cn)

2018 – 2023

Advisors, Relations & Conflicts

Coworker

Zhiming Tan

2024 – Present

Postdoc Advisor

Jiguang Wang

2023 – 2024

PhD Advisor

Chengliang Liu

2018 – 2023

Expertise

Large language models

2025 – Present

Video: action and event understanding

2024 – 2025

Deep learning architectures and techniques

2018 – 2024

Publications

Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models
Yunqing Liu, Nan Zhang, Zhiming Tan
- ICLR 2026 Poster
- Readers: Everyone
Mamba Only Glances Once (MOGO): A Lightweight Framework for Efficient Video Action Detection
Yunqing Liu, Nan Zhang, Fangjun Wang, Kengo Murata, Takuma Yamamoto, Osafumi Nakayama, Genta Suzuki, Zhiming Tan
- NeurIPS 2025 poster
- Readers: Everyone
Pruned lightweight neural networks for arrhythmia classification with clinical 12-Lead ECGs
Yunqing Liu, Jinlei Liu, Yuanyuan Tian, Yanrui Jin, Zhiyuan Li, Liqun Zhao, Chengliang Liu
- Appl. Soft Comput. 2024
- Readers: Everyone
Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data
Yunqing Liu, Chengjin Qin, Yuanyuan Tian, Mengxiao Wang, Jinlei Liu, Yanrui Jin, Zhiyuan Li, Liqun Zhao, Chengliang Liu
- IEEE Trans. Instrum. Meas. 2024
- Readers: Everyone
A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning
Yunqing Liu, Jinlei Liu, Chengjin Qin, Yanrui Jin, Zhiyuan Li, Liqun Zhao, Chengliang Liu
- Appl. Intell. 2023
- Readers: Everyone
An efficient neural network-based method for patient-specific information involved arrhythmia detection
Yunqing Liu, Chengjin Qin, Jinlei Liu, Yanrui Jin, Zhiyuan Li, Chengliang Liu
- Knowl. Based Syst. 2022
- Readers: Everyone
A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection
Yanrui Jin, Jinlei Liu, Yunqing Liu, Chengjin Qin, Zhiyuan Li, Dengyu Xiao, Liqun Zhao, Chengliang Liu
- IEEE Trans. Instrum. Meas. 2022
- Readers: Everyone
Precise and efficient heartbeat classification using a novel lightweight-modified method
Yunqing Liu, Yanrui Jin, Jinlei Liu, Chengjin Qin, Ke Lin, Haotian Shi, Jianfeng Tao, Liqun Zhao, Chengliang Liu
- Biomed. Signal Process. Control. 2021
- Readers: Everyone
A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples
Yanrui Jin, Chengjin Qin, Jinlei Liu, Zhiyuan Li, Haotian Shi, Ke Lin, Yunqing Liu, Chengliang Liu
- IEEE Trans. Instrum. Meas. 2021
- Readers: Everyone