长期从事化工过程安全理论和方法研究。综合运用化学工程基本原理与大数据技术和人工智能技术，发展化工安全新理论、新方法与新工具，促进化工安全智能化发展。在Computers & Chemical Engineering，Process safety and Environmental Protection, Journal of Loss Prevention in the Process Industries、化工学报等国内外学术期刊发表论文120余篇，出版专著5部，教材1部，公开和授权发明专利10余项。目前担任清华大学化工系过程系统工程研究所所长、工业大数据系统与应用北京市重点实验室副主任。他是国务院安委会危险化学品安全专业委员会专家组成员，国家生态环境部第一届生态环境应急专家组成员，北京市安全生产领域学科带头人。
Deyang Wu, Xiaotian Bi, Jinsong Zhao*. ProTopormer: Toward Understandable Fault Diagnosis Combining Process Topology for Chemical Processes. Industrial & Engineering Chemistry Research, 2023 62 (21), 8350-8361
Xiaotian Bi, Deyang Wu, Daoxiong Xie, Huawei Ye, Jinsong Zhao*. Large-scale chemical process causal discovery from big data with transformer-based deep learning. Process Safety and Environmental Protection, 2023, 173:163-177
Yiming Bai, Jinsong Zhao*. A novel transformer-based multi-variable multi-step prediction method for chemical process fault prognosis. Process Safety and Environmental Protection, 2023, 169:937-947
Ruoshi Qin， Jinsong Zhao*. Adaptive multiscale convolutional neural network model for chemical process fault diagnosis, Chinese Journal of Chemical Engineering, 2022，50：412-422
赵泽恒，赵劲松*. 基于破坏性实验和自动编码器的风机皮带剩余寿命预测。清华大学学报（自然科学版），2022，62（9）：1458-1466
Yuman Yao, Yiyang Dai*, Jinsong Zhao*. An enhanced dynamic artificial immune system based on simulated vaccine for early fault diagnosis with limited data. Process Safety and Environmental Protection. 2022，165：908-919
Shaodong Zheng and Jinsong Zhao*. A Self-Adaptive Temporal-Spatial Self-Training Algorithm for Semisupervised Fault Diagnosis of Industrial Processes. IEEE Transactions on Industrial Informatics, 2022；18（10）： 6700-6711
Shaodong Zheng, Jinsong Zhao*. High-fidelity positive-unlabeled deep learning for semi-supervised fault detection of chemical processes. Process Safety and Environmental Protection, 2022; 165:191-204
Xiaotian Bi, Ruoshi Qin, Deyang Wu, Shaodong Zheng, Jinsong Zhao*. One Step forward for smart chemical process fault detection and diagnosis. Computers & Chemical Engineering. 2022, 164: 107884
Shuaiyu Xiang, Yiming Bai, Jinsong Zhao. Medium-term prediction of key chemical process parameter trend with small data. Chemical Engineering Science, 2022, 249: 117361
Bingyu Wang, Jinsong Zhao. Automatic Frequency Estimation of Contributory Factors for Confined Space Accidents. Process Safety and Environmental Protection, 2022; 157：193-207
Xiaotian Bi, Jinsong Zhao. A novel orthogonal self-attentive variational autoencoder method for interpretable chemical process fault detection and identification.Process Safety and Environmental Protection, 2021; 156:581-597
Deyang Wu, Jinsong Zhao. Process topology convolutional network model for chemical process fault diagnosis. Process Safety and Environmental Protection, 2021；150：93-109
赵劲松，粟镇宇，贺丁，袁志涛等.《化工过程安全管理》，北京：化学工业出版社，2021
赵劲松*，邱彤，陈丙珍。工程伦理教育在工科通识教育中的作用和实践。自然辩证法通讯。 2021；43（1）：115-120
秦若时，赵劲松*。新冠肺炎疫情背景下工程伦理教育的教学探究与实践延伸。化工高等教育。2020；6：1-6
Hao Wu, Jinsong Zhao*. Self-adaptive deep learning for multimode process monitoring. Computers & Chemical Engineering. 2020；141: 107024
Shaodong Zheng, Jinsong Zhao*. A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis. Computers & Chemical Engineering. 2020；135: 106755
Hao Wu, Jinsong Zhao*. Fault detection and diagnosis based on transfer learning for multimode chemical Processes. Computers & Chemical Engineering. 2020；135: 106731
Qiaoling Chen, Maureen Wood, Jinsong Zhao*. Case study of the Tianjin accident: Application of barrier and systems analysis to understand challenges to industry loss prevention in emerging economies. Process Safety and Environmental Protection. 2019；131: 178-188
Feifan Cheng, Q. Peter He*, Jinsong Zhao*. A novel process monitoring approach based on variational recurrent autoencoder. Computers & Chemical Engineering. 2019; 129:1-13
Hao Wu, Deyang Wu, Jinsong Zhao*. An intelligent fire detection approach through cameras based on computer vision methods. Process Safety and Environmental Protection. 2019; 127:245-256
Hao Wu, Jinsong Zhao*. An intelligent vision-based approach for helmet identification for work safety. Computers in Industry. 2018; 100:267-277
Hao Wu, Jinsong Zhao*. Deep convolutional neural network model based chemical process fault diagnosis. Computers & Chemical Engineering. 2018; 115:185-197
Hao Wu, Penarrubia Igor, Lin Cui, Jinsong Zhao*. Process safety management considerations for biofuel production. Frontiers of Engineering Management. 2017; 4(3): 357-367
Zhanpeng Zhang, Jinsong Zhao*. A deep belief network based fault diagnosis model for complex chemical processes. Computers & Chemical Engineering. 2017; 107:395-407
Yiyang Dai, Hangzhou Wang, Faisal Khan, Jinsong Zhao*. Abnormal situation management for smart chemical process operation. Current Opinion in Chemical Engineering. 2016; 14：49-55
Yidan Shu, Liang Ming, Feifan Cheng, Jinsong Zhao*. Abnormal situation management: Challenges and opportunities in the big data era. Computers & Chemical Engineering. 2016; 91：104-113
Yidan Shu, Jinsong Zhao*. Fault diagnosis of chemical processes using artificial immune system with vaccine transplant. Industrial & Engineering Chemistry Research. 2016; 55:3360-3371
Zhi Xia, Jinsong Zhao*. Robust Optimization of Index-2 Differential Algebraic Equations with Guaranteed Stability under Parametric Uncertainty: Application to a Reactor–Separator–Recycle Process. Industrial & Engineering Chemistry Research. 2015; 54（41）：10031-10039
Bing Wang, Bingzhen Chen, Jinsong Zhao*. The real-time estimation of hazardous gas dispersion by the integration of gas detectors, neural network and gas dispersion models. Journal of Hazardous Materials. 2015; 300: 433-442
Zhi Xia, Jinsong Zhao*. Steady-State Optimization of Chemical Processes with Guaranteed Robust Stability and Controllability under Parametric Uncertainty and Disturbances, Computers & Chemical Engineering. 2015; 77: 116-134
赵劲松，陈网桦，鲁毅等。 《化工过程安全》，北京：化学工业出版社，2015
