Chong Wang
Associate Professor University of Science and Technology of China Hefei, Anhui, China
Email: wchong@ustc.edu.cn
Phone: (+86) 551 63600770
Address: Jinzhai Road 96, State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, Anhui, P. R. China
ORCID: 0009-0008-5190-7792
About Me
I am an Associate Professor at the State Key Laboratory of Fire Science, University of Science and Technology of China. My research lies at the intersection of artificial intelligence and fire science, with a focus on computer vision, multimodal AI large models, intelligent fire detection, forest fire risk prediction, fire-source localization, and 3D dynamic reconstruction of fire scenes.
My work aims to develop trustworthy, efficient, and deployable AI techniques for fire prevention and control. Recent projects include wildfire smoke detection in videos, multispectral fire detection, fire-scene image and video synthesis using generative AI, fire-spread analysis, and intelligent perception for complex fire-safety scenarios.
Research Interests
- Computer vision and multimedia
- Multimodal AI large models
- Multi-source data-driven forest fire risk prediction
- Multispectral intelligent fire detection
- Generative AI-based fire-scene image and video synthesis
- Fire-source localization and 3D dynamic fire-scene reconstruction
- AI-enabled fire prevention, early warning, and emergency perception
Biography
- 2025-present: Associate Professor, University of Science and Technology of China
- 2022-2025: Postdoctoral Researcher, University of Science and Technology of China
- 2019-2022: Research Scientist, AI Research Institute, iFLYTEK Co., Ltd.
- 2019: Ph.D. in Control Science and Engineering, University of Science and Technology of China
Research Overview
My research focuses on integrating artificial intelligence with fire science to address critical challenges in fire prevention, detection, monitoring, and emergency response. I develop AI models and systems for forest fire risk prediction, early fire detection, fire-spread forecasting, and spatial localization of fire incidents.
The forest fire detection models and algorithms developed in my research have been deployed in fire-prevention platforms in multiple provinces, including Anhui, Sichuan, Jiangxi, Guizhou, and Liaoning. These systems support more than 1,000 video monitoring channels and contribute to practical wildfire prevention and early warning.
Selected Publications
- Chen Xu, Jinhong Wu, Chong Wang, Guanghao Wu, Liuheng Xu, Adeel Akram, Qixing Zhang.
SmokeFormer: Decision Ensemble Transformer for Early Wildfire Smoke Detection in Videos. Fire Technology, 2026. DOI: 10.1007/s10694-026-01885-4
- Chong Wang, Hai Song, Zhong Wang, Zhilin Shan, Qixing Zhang.
LwST-FSD: Efficient Forest Smoke Detection via Lightweight Spatio-temporal Modeling. Information Sciences, 2025: 122481. DOI: 10.1016/j.ins.2025.122481
- Chong Wang, Chen Xu, Adeel Akram, Zhong Wang, Zhilin Shan, Qixing Zhang, Mohamadreza Khosravi.
Wildfire Smoke Detection System: Model Architecture, Training Mechanism, and Dataset. International Journal of Intelligent Systems, 2025: 1610145. DOI: 10.1155/int/1610145
- Chong Wang, Zhuozhi Cheng, Adeel Akram, Qixing Zhang, Yongming Zhang.
Gogglesdet: Goggles Detection with Clustering Transformer and a New Dataset. Signal, Image and Video Processing, 19(2), 2025: 188. DOI: 10.1007/s11760-024-03778-x
- Yinuo Huo, Qixing Zhang, Chong Wang, Haihui Wang, Yongming Zhang.
Enhancing Wildfire Detection: A Novel Algorithm for Controllable Generation of Wildfire Smoke Images. International Journal of Wildland Fire, 2024. DOI: 10.1071/WF24068
- Zheng-Jun Zha, Chong Wang, Dong Liu, Hongtao Xie, Yongdong Zhang.
Robust Deep Co-saliency Detection with Group Semantic and Pyramid Attention. IEEE Transactions on Neural Networks and Learning Systems, 31(7), 2020: 2398-2408. DOI: 10.1109/TNNLS.2020.2967471
- Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie.
Robust Deep Co-saliency Detection with Group Semantic. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 2019: 8917-8924. DOI: 10.1609/aaai.v33i01.33018917
- Chong Wang, Wei Li, Wenwen Chen, Yazhen Wang, Ming Liu, Fang Gao.
Autonomous Landing Control of Quadrotor UAVs. 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, 2015. DOI: 10.1109/CYBER.2015.7287948
Selected Patents
- Chong Wang, Qixing Zhang, Xuquan Zou.
Forest Litter Moisture Content Inversion Method and System Based on Multispectral Images. CN118840664B, 2024-11-22.
- Chong Wang, Qixing Zhang, Xuan Zu, Jinyang Dai.
Fire Detection Model Training Method Based on Dual-Spectral Image Fusion. CN118823591B, 2024-12-13.
- Chong Wang, Qixing Zhang, Hao Wang, Yongming Zhang.
Binocular Fire Source Image Synthesis Method, Device, and Readable Storage Medium. CN116363219B, 2023-06-02.
- Chong Wang.
Construction Method, Device, Equipment, and Storage Medium for Images with Moiré Patterns. CN112562028B, 2024-08-23.
- Chong Wang.
Teacher Correction Mark Detection Method, Electronic Device, and Storage Medium. CN114359926B, 2024-11-01.
Selected Projects
Principal Investigator
- High-Precision Fire-Source Localization Technology for High-Rise and Super High-Rise Building Facades
Subproject of the National Key R&D Program of China, 2025.01-2027.12
- Numerical Models and Algorithms for Combustion Evolution of Combustibles
Subproject of the National Key R&D Program of China, 2025.04-2028.03
- Environmental Adaptability Testing and Application Demonstration of Fire Detection Devices
Subproject of a Yangtze River Delta Science and Technology Innovation Community joint research program, 2024.01-2026.12
- Anti-Interference Fire Detection Technology for Aircraft Cargo Compartments Based on Multimodal Information Fusion
Open Fund project of the Key Laboratory of Civil Aircraft Fire Science and Safety Engineering of Sichuan Province, 2025.01-2026.12
Key Researcher
- Early Forest-Fire Smoke Detection Based on Physically Trustworthy Generated Video Sequences and Deep Learning
General Program of the National Natural Science Foundation of China, 2025.01-2027.12
- Fire Mechanisms and Early Characteristics in Multi-Scenario Public Buildings
National Key R&D Program project task, 2021.12-2024.11
- AI-Based Key Technologies and Equipment for Space-Air-Ground Collaborative Forest Fire Detection
Major Science and Technology Project of Anhui Province, 2022.05-2025.04
- Fire Analysis Algorithms and Models Based on Video Temporal Feature Sequences
Yangtze River Delta Science and Technology Innovation Community joint research project, 2024.01-2026.12
Professional Service
I serve as a reviewer for journals including:
- Expert Systems with Applications
- Knowledge-Based Systems
- Neurocomputing
- The Journal of Supercomputing
- Scientific Reports