Jing Peng

Jing Peng

Faculty Member
Ph.D., Lecturer at School of Computer Science, Chengdu University of Information Technology. Received Ph.D. in Computer Software and Theory from University of Chinese Academy of Sciences in 2022. Postdoctoral researcher at HKUST Department of Computer Science and Engineering (2023-2024). Research interests include advanced computing, intelligent image processing, and distributed machine learning. Has led over 10 research projects including Sichuan Provincial Major Science and Technology Special Project. Published 10+ papers in journals and conferences. Authorized 2 invention patents and 6 software copyrights. Won National First Prize in Teaching Innovation Competition.

Education

B.E. in Communication Engineering

2009.9 - 2013.6
Sichuan Normal University
Studied at the School of Physics and Electronic Engineering. Awarded Bachelor’s degree in Communication Engineering.

M.E. in Electronics and Communication Engineering

2013.9 - 2016.6
Chengdu University of Information Technology
Studied at the School of Communication Engineering. Awarded Master’s degree in Electronics and Communication Engineering.

Ph.D. in Computer Software and Theory

2018.9 - 2022.6
University of Chinese Academy of Sciences
Studied at the School of Computer Science and Technology. Awarded Ph.D. in Computer Software and Theory.

Work Experience

Postdoctoral Researcher

2023.3 - 2024.3
Hong Kong University of Science and Technology
Conducted postdoctoral research at HKUST Department of Computer Science and Engineering.

Faculty Member

2016.8 - Present
School of Computer Science, CUIT
Serving as a faculty member at the School of Computer Science, CUIT since 2016.

Projects

Key Technologies and Applications of Large-capacity Long-distance Secure Transmission Network for Multi-access Points

ID:2023YFG0101
Sichuan Provincial Key R&D Program
Role:Topic Leader
2021 - 2023

Medical Image Segmentation Research Based on Deep Convolutional Neural Networks

ID:2021YFG0018
Sichuan Provincial Seedling Engineering Key Project
Role:PI
2019 - 2020

Science and Technology Innovation Capability Enhancement Project (Youth Innovation Top Talent)

ID:KYQN202220
Chengdu University of Information Technology
Role:PI
2022 - 2023

Medical Image Segmentation Research Based on Deep Convolutional Neural Networks

ID:2023-0525-04-03
Agile Intelligent Computing Sichuan Provincial Key Laboratory Open Project
Role:PI
2023 - 2024

Data Protection and Fusion Technology Research for Nuclear Safety Systems

ID:2023YFG0101
Sichuan Provincial Key R&D Program
Role:Topic Leader
2023 - 2025

Key Technologies for Large Model Training Optimization and Acceleration for Domestic Computing Clusters

ID:2025ZDZX0013
Sichuan Provincial Major Science and Technology Special Project
Role:Topic Leader
2025 - 2027

Domestic Chip Adaptation and Computing-Power-Electricity Fusion Key Technologies

ID:2025ZDZX0007
Sichuan Provincial Major Science and Technology Special Project
Role:Topic Leader
2025 - 2028

Publications

Low-bit and Sparsified Gradient Communication for Accelerating Distributed Deep Learning with Convergence Guarantees. Proceedings of the 55th International Conference on Parallel Processing (ICPP 2026), Singapore, 2026.
SelCo: Efficient Distributed Multimodal LLM Training with Selective Co-location. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, 2026.
An Online Heterogeneous GPU Cluster Scheduler for Multi-Objective Optimization. 2025 International Conference on Information Management and Computing Technology (ICIMCT), 2025.
Iris Segmentation Based on Mask R-CNN Convolutional Neural Network. Computer Systems & Applications, 2022.
A Multi-Task Network for Cardiac Magnetic Resonance Image Segmentation and Classification. Intelligent Automation & Soft Computing, 2021, 30(1): 259-272, 2021.