I have presided over and participated in multiple national and provincial-level research projects, including the National High-Tech Research and Development Program of China (863 Program), National Science and Technology Major Projects, General Program of the National Natural Science Foundation of China, Special Scientific Research Project on Nuclear Three Wastes of the Commission of Science, Technology and Industry for National Defense, and the "Young Talents Program" of Beijing Higher Education Institutions. I have also undertaken and participated in numerous horizontal research projects commissioned by enterprises and public institutions.

1. 代表性论文

[1] Zhenwu Wang, et al. Interpreting convolutional neural network by joint evaluation of multiple feature maps and an improved NSGA-II algorithm. Expert Systems With Applications,2024,255:1-24. (中科院一区TOP期刊, IF=7.6, WOS: 001262094900001)

[2] Zhenwu Wang, et al. Solving dynamic multi-objective optimization problems via quantifying intensity of environment changes and ensemble learning-based prediction strategies. Applied Soft Computing,2024,154:1-29. (中科院一区TOP期刊, IF=8.7, WOS: 001178018400001)

[3] Zhenwu Wang, et al. PML-ED: A method of partial multi-label learning by using encoder-decoder framework and exploring label correlation. Information Sciences,2024, 661:1-23. (中科院一区TOP期刊, IF=8.1, WOS: 001174246200001)

[4] Zhenwu Wang, et al. A multi-objective chicken swarm optimization algorithm based on dual external archive with various elites. Applied Soft Computing,2023,133:1-24. (中科院一区TOP期刊, IF=8.7, WOS: 001026652800001)

[5] Zhenwu Wang, et al. A novel Bayesian network-based ensemble classifier chains for multi-label classification. Complex & Intelligent Systems,2024, 10(5):7373-7399. (中科院二区期刊, IF=5.2, WOS: 001271161300001)

[6] Zhenwu Wang, et al. An agent‑based persuasion model using emotion‑driven concession and multi‑objective optimization. Autonomous Agents and Multi-Agent Systems,2024,38(2):1-44. (CCF B类期刊, IF=2.0, WOS: 001268286100001)

[7] Zhenwu Wang, et al. A Three-Dimensional Visualization Framework for Underground Geohazard Recognition on Urban Road-Facing GPR Data. ISPRS International Journal of Geo-Information,2020, 9(11):1-20. (IF=2.9, WOS: 000593324900001)

[8] Zhenwu Wang, et al. Partial Classifier Chains with Feature Selection by Exploiting Label Correlation in Multi Label Classification. Entropy, 2020, 22(10):1-22. (IF=2.5, WOS: 000585255300001)

[9] Zhenwu Wang, et al. A Comparative Study of Common Nature‐Inspired Algorithms for Continuous Function Optimization. Entropy, 2021, 23(7):1-40. (IF=2.5, WOS: 000676563200001)

[10] Zhenwu Wang, et al. A novel multi-label classification algorithm based on K-nearest neighbor and random walk. International Journal of Distributed Sensor Networks,2020, 16(3):1-17. (IF=1.6, WOS: 000524570400001)

2. 代表性教材

[1] 王振武.大数据挖掘与应用（第二版）.清华大学出版社, 2023.（ISBN:978-7-302-62832-3,教育部-阿里云产学合作专业综合改革规划教材）

[2] 王振武.计算机图形学原理与实现.清华大学出版社, 2024.（ISBN:978-7-302-65348-6, 全国高等学校计算机教育研究会“十四五”规划教材）

[3] 王振武.数据挖掘算法原理与实现（第3版 微课版）.清华大学出版社, 2023.（ISBN:978-7-302-64069-1）

[4] 王振武. 软件工程理论与实践（第3版 微课版）.清华大学出版社, 2023.（ISBN:978-7-302-66088-0）

1. 1.Research Awards: First Prize of the 6th Safety Production Science and Technology Achievement Award (State Administration of Work Safety, 2015), Second Prize of the China National Coal Industry Association Science and Technology Award (China National Coal Industry Association, 2015), Third Prize of the China Electric Power Development Promotion Association Science and Technology Award (China Electric Power Development Promotion Association, 2023), and other research honors.

2. 2.Teaching Awards: National Outstanding Teacher in the Coal Industry (China National Coal Education Association, 2024), Excellence Award in the 4th Beijing University Teachers' Teaching Innovation Competition (Beijing Municipal Commission of Education, 2024), High-Quality Undergraduate Textbook of Beijing Universities (Beijing Municipal Commission of Education, 2022), High-Quality Undergraduate Teaching Plan of Beijing Universities (Beijing Municipal Commission of Education, 2024), Special Prize in the Beijing University Computer Teaching Excellent Segment Exchange Competition (Beijing Higher Education Association, 2018), First Prize of the 3rd National Outstanding Textbook in the Coal Industry (China National Coal Education Association, 2020), Second Prize of the National Coal Industry Education and Teaching Postgraduate Thesis Award (China National Coal Education Association, 2024), Third Prize of the National Coal Industry Education and Teaching Achievement (Thesis) Award (China National Coal Education Association, 2020), Young Teaching Master (China University of Mining and Technology, Beijing, 2023), and more than 20 other teaching awards.