Advanced Computing and Architecture

Meet Our Team

Young Researchers

Our diverse research team brings together expertise from multiple disciplines to tackle challenging problems in smart meteorology, big data, and machine learning.

Faculty

Jiangshan Ai

Team Member

Team member at CUIT.

Electromagnetic Non-Destructive Testing Intelligent Defect Recognition Algorithms Defect Reconstruction Algorithms

Received Ph.D. in Computer Science and Technology from UESTC in December 2022. Research interests include distributed computing, parallel computing optimization, and data mining. Published 18 papers in international conferences and journals. Participated in multiple national and provincial projects including the National Key R&D Program of China.

Distributed Computing Parallel Computing Optimization Big Data Mining

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.

Artificial Intelligence Intelligent Image Processing Distributed Machine Learning

Tiejun Wang

Team Leader

Received Ph.D. in Computer Application Technology from University of Electronic Science and Technology of China (UESTC) in December 2010. Has undertaken more than 10 research projects including the National Science and Technology Support Program, Sichuan Provincial Science and Technology Program, and projects from State Grid Corporation of China. Awarded two Second-Class Provincial Science and Technology Progress Awards. Published over 20 academic papers (10+ indexed by SCI/EI), authorized 5 national invention patents, obtained 14 software copyrights, and published 4 textbooks.

High Performance Computing Large Language Model Compression Domain-Specific Languages

Xi Wu

Faculty

Faculty member at the School of Computer Science, Chengdu University of Information Technology. Research interests include image processing, machine learning, and distributed computing.

Mingtian Zhou

Professor

Professor at University of Electronic Science and Technology of China. Expert in computer networks and distributed systems.

Graduate Students

Baitong Chen

M.S. Student

Enrolled at CUIT in September 2025 for Master's studies.

Computer Vision

Hongyan Jing

Graduate Student

Graduate student at Chengdu University of Information Technology.

Jiaqi Li

M.S. Student

Received B.E. in Computer Science and Technology from CUIT in June 2023. Currently pursuing Master's degree in Artificial Intelligence at CUIT since 2024.

Distributed Training Communication Optimization

Haoxuan Liang

M.S. Student

Enrolled at CUIT in September 2024 for Master's studies. Published one academic paper.

Multimodal Knowledge Graph Completion

Rudai Liang

M.S. Student

Received B.E. in Computer Science and Technology from CUIT in June 2024. Currently pursuing Master's degree at CUIT.

Resource Scheduling

Yubo Qin

Team Member

Received B.E. in Computer Science and Technology from Zhengzhou University in June 2025. Currently a team member at CUIT.

High Performance Computing Large Language Model Quantization

Mengru Shi

Graduate Student

Graduate student at Chengdu University of Information Technology.

Hao Tang

M.S. Student

Received B.E. in Computer Science and Technology from Jingdezhen Ceramic University in June 2024. Currently pursuing Master's degree in Artificial Intelligence at CUIT.

Large Language Model Compression Quantization

Yuliang Yang

Team Member

Received B.E. in Computer Science and Technology from CUIT in June 2025. Currently pursuing Master's degree at CUIT.

Large Language Model Fine-Tuning

Hao Yao

M.S. Student

Master's student at CUIT. Research focuses on optimization of model and data heterogeneity in large-scale training of Multimodal Large Language Models (MLLM).

Multimodal Large Language Models (MLLM) Distributed Training Frameworks

Zeling Zhang

M.S. Student

Enrolled at CUIT in September 2025 for Master's studies.

Multimodal Fusion

Guokai Zhao

M.S. Student

Master's student at CUIT.

Large Language Model Quantization

Alumni

Hang Cui

M.S. Student

Pursuing Master's degree in Computer Technology at CUIT since September 2023. Published one academic paper.

Multimodal Large Language Models Meteorological Data and Information Technology Extreme Weather Prediction

Xuejuan Kang

M.S. Student

Master's student at CUIT.

Multimodal Knowledge Graph Completion

Heng Liu

Alumni

Alumni of Chengdu University of Information Technology.

Hongyu Mao

Undergraduate Student

Digital Media Technology student with solid programming fundamentals and full-stack development capabilities. Focuses on computer graphics, Domain-Specific Language (DSL) design, and 3D visualization. Participated in 2 provincial-level innovation projects, published 1 EI conference paper, awarded National Scholarship and multiple provincial/ministerial competition awards.

Full-Stack Development Computer Graphics Domain-Specific Languages