Research output per year
Research output per year
Personal profile
Personal profile
Name: Bai Yongqiang Gender: Male Date of birth: 1972-08
Title: Researcher Title: Teacher Highest education: Doctor
Discipline Direction: Pattern Recognition and Intelligent System
Talent Program: Office Location: National Defense Science and Technology Park 6#-804
E-mail: byfengyun@bit.edu.cn Contact: 01068917907
Address: 804, Building 6, National Defense Science and Technology Park, Zhongguancun Campus, Beijing Institute of Technology
Type of Supervisor: Master Supervisor
Title: Researcher Title: Teacher Highest education: Doctor
Discipline Direction: Pattern Recognition and Intelligent System
Talent Program: Office Location: National Defense Science and Technology Park 6#-804
E-mail: byfengyun@bit.edu.cn Contact: 01068917907
Address: 804, Building 6, National Defense Science and Technology Park, Zhongguancun Campus, Beijing Institute of Technology
Type of Supervisor: Master Supervisor
Research Interests
Research Direction
1. Pattern recognition, Machine learning
2. Image processing
3. Intelligent System and intelligent control
1. Pattern recognition, Machine learning
2. Image processing
3. Intelligent System and intelligent control
Education
Education and Work Experience
1991-1995, Major in Automatic control, Bachelor degree, Beijing Institute of Technology
1995-1998, Pattern Recognition and Intelligent System, Master, Beijing Institute of Technology
2004-2011, Major in Pattern Recognition and Intelligent Systems, PhD, Beijing Institute of Technology
1998-2022, School of Automation, Beijing Institute of Technology, Teacher
1991-1995, Major in Automatic control, Bachelor degree, Beijing Institute of Technology
1995-1998, Pattern Recognition and Intelligent System, Master, Beijing Institute of Technology
2004-2011, Major in Pattern Recognition and Intelligent Systems, PhD, Beijing Institute of Technology
1998-2022, School of Automation, Beijing Institute of Technology, Teacher
Professional Experience
Education and Work Experience
1991-1995, Major in Automatic control, Bachelor degree, Beijing Institute of Technology
1995-1998, Pattern Recognition and Intelligent System, Master, Beijing Institute of Technology
2004-2011, Major in Pattern Recognition and Intelligent Systems, PhD, Beijing Institute of Technology
1998-2022, School of Automation, Beijing Institute of Technology, Teacher
1991-1995, Major in Automatic control, Bachelor degree, Beijing Institute of Technology
1995-1998, Pattern Recognition and Intelligent System, Master, Beijing Institute of Technology
2004-2011, Major in Pattern Recognition and Intelligent Systems, PhD, Beijing Institute of Technology
1998-2022, School of Automation, Beijing Institute of Technology, Teacher
Research Achievement
Scientific Research Awards
1) Digital command and control System and its key technologies, Second Prize of National Science and Technology Progress (Row 2)
2) Digital independent calibration, information transmission and control integration system, Second Prize of National Science and Technology Progress (row 6)
3) Key technologies and applications of distributed and coordinated regional command and control, First Prize of Technical Invention of the Ministry of Education (Row 2)
4) New all-electric bidirectional control technology research, Science and Technology Progress Award of the Commission of Science, Technology and Industry for National Defense (Row 1)
5) Anti-disturbance positioning and real-time display technology of a kind of command system, Second Prize of Science and Technology Progress of the Ministry of Industry and Information Technology (row 3)
Teaching Achievements
Leading teaching reform projects including:
1. Key teaching reform project: Innovative exploration and practice of teaching methods of Sensor and Detection technology under Broad training mode
2. Information Technology and Education teaching in-depth teaching reform project: "Electrical Measurement and Signal Processing" course MOOC construction
3. Undergraduate "Curriculum Ideology and Politics" demonstration course construction project
4. Exploration and practice project of Hybrid teaching Mode of Electrical Measurement and Signal Processing
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Middle fusion and multi-stage, multi-form prompts for robust RGB-T tracking
Wang, Q., Bai, Y. & Song, H., 1 Sept 2024, In: Neurocomputing. 596, 127959.Research output: Contribution to journal › Article › peer-review
Open Access -
Dehazing Network Based on U-Net Structure and Residual Block
Zhang, W., Li, H., Sun, H. & Bai, Y., 2022, Proceedings of the 41st Chinese Control Conference, CCC 2022. Li, Z. & Sun, J. (eds.). IEEE Computer Society, p. 6576-6581 6 p. (Chinese Control Conference, CCC; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Distilling Siamese Trackers with Attention Mask
Sun, H., Bai, Y. & Zhang, W., 2022, Proceedings of the 41st Chinese Control Conference, CCC 2022. Li, Z. & Sun, J. (eds.). IEEE Computer Society, p. 6622-6627 6 p. (Chinese Control Conference, CCC; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
A Scale Adaptive and Anti-occlusion Tracking Algorithm with Feature Fusion
Li, L., Liao, H. & Bai, Y., 26 Jul 2021, Proceedings of the 40th Chinese Control Conference, CCC 2021. Peng, C. & Sun, J. (eds.). IEEE Computer Society, p. 7015-7020 6 p. (Chinese Control Conference, CCC; vol. 2021-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Distributed Robust Fault Estimation Using Relative Measurements for Leader-Follower Multiagent Systems
Luo, M., Fang, H., Li, Y., Bai, Y., Chen, J. & Wei, Y., Sept 2021, In: IEEE Transactions on Cybernetics. 51, 9, p. 4707-4715 9 p.Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus)