POSITION/TITLE
Embedded Software Engineer
RESEARCH FIELD
Industrial Automation
zhuwenxin@sribd.cn
EDUCATION BACKGROUND
Bachelor of Engineering, Shanghai Jiao Tong University
BIOGRAPHY
Graduated in 2010 with a bachelor's degree and worked in the industrial automation industry for many years, with many years of experience in the implementation of industrial control system projects, and industrial control embedded system development
TITLE/POSITION
Engineer
RESEARCH FIELD
Hardware, RF Circuitry
wanhuaying@sribd.cn
EDUCATION BACKGROUND
Bachelor of Electronic Information Engineering, Guangxi University
Master of Electronic and Communication Engineering, Harbin Institute of Technology
BIOGRAPHY
Previously worked with multiple companies specializing in RF and hardware circuit design and testing. Proficient in hardware and RF circuit design, with extensive experience in resolving interference and EMC issues.
TITLE/POSITION
Engineer
RESEARCH FIELD
Hardware, RF Circuitry
wanhuaying@sribd.cn
EDUCATION BACKGROUND
Bachelor of Electronic Information Engineering, Guangxi University
Master of Electronic and Communication Engineering, Harbin Institute of Technology
BIOGRAPHY
Previously worked with multiple companies specializing in RF and hardware circuit design and testing. Proficient in hardware and RF circuit design, with extensive experience in resolving interference and EMC issues.
TITLE/POSITION
Engineer
RESEARCH FIELD
Hardware, RF Circuitry
wanhuaying@sribd.cn
EDUCATION BACKGROUND
Bachelor of Electronic Information Engineering, Guangxi University
Master of Electronic and Communication Engineering, Harbin Institute of Technology
BIOGRAPHY
Previously worked with multiple companies specializing in RF and hardware circuit design and testing. Proficient in hardware and RF circuit design, with extensive experience in resolving interference and EMC issues.
TITLE/POSITION
Engineer
RESEARCH FIELD
Hardware, RF Circuitry
wanhuaying@sribd.cn
EDUCATION BACKGROUND
Bachelor of Electronic Information Engineering, Guangxi University
Master of Electronic and Communication Engineering, Harbin Institute of Technology
BIOGRAPHY
Previously worked with multiple companies specializing in RF and hardware circuit design and testing. Proficient in hardware and RF circuit design, with extensive experience in resolving interference and EMC issues.
POSITION/TITLE
Algorithm Engineer
RESEARCH FIELD
Deep Learning, Network Optimization
maojingwei@sribd.cn
EDUCATION BACKGROUND
Master of the Chinese University of Hong Kong, Shenzhen
Bachelor of Xidian University
BIOGRAPHY
Mao Jingwei obtained a Bachelor's degree in Electronic Information Engineering from Xidian University in 2016. In 2019, he obtained a Master of Philosophy (MPhil) degree in Computer Information Engineering from The Chinese University of Hong Kong, Shenzhen. After graduating in 2019, he worked as an algorithm engineer at Ping An Insurance and Alibaba. In 2023, he joined the Shenzhen Big Data Research Institute as an algorithm engineer.
PAPER
1. Li Wenye, Mao J., Zhang Y., Cui S. (2018) Fast Similarity Search via Optimal Sparse Lifting. In Advances in Neural Information Processing Systems 31 (NeurIPS’2018).
PATENT
1. Method, Apparatus, Computer Equipment, and Medium for Answer Generation Based on Artificial Intelligence.
2. A Semi-Supervised Method and Mobile Terminal without Consistency Constraints.
POSITION/TITLE
Algorithm Engineer
RESEARCH FIELD
Deep Learning, Network Optimization
maojingwei@sribd.cn
EDUCATION BACKGROUND
Master of the Chinese University of Hong Kong, Shenzhen
Bachelor of Xidian University
BIOGRAPHY
Mao Jingwei obtained a Bachelor's degree in Electronic Information Engineering from Xidian University in 2016. In 2019, he obtained a Master of Philosophy (MPhil) degree in Computer Information Engineering from The Chinese University of Hong Kong, Shenzhen. After graduating in 2019, he worked as an algorithm engineer at Ping An Insurance and Alibaba. In 2023, he joined the Shenzhen Big Data Research Institute as an algorithm engineer.
PAPER
1. Li Wenye, Mao J., Zhang Y., Cui S. (2018) Fast Similarity Search via Optimal Sparse Lifting. In Advances in Neural Information Processing Systems 31 (NeurIPS’2018).
PATENT
1. Method, Apparatus, Computer Equipment, and Medium for Answer Generation Based on Artificial Intelligence.
2. A Semi-Supervised Method and Mobile Terminal without Consistency Constraints.
POSITION/TITLE
Algorithm Engineer
RESEARCH FIELD
Deep Learning, Network Optimization
maojingwei@sribd.cn
EDUCATION BACKGROUND
Master of the Chinese University of Hong Kong, Shenzhen
Bachelor of Xidian University
BIOGRAPHY
Mao Jingwei obtained a Bachelor's degree in Electronic Information Engineering from Xidian University in 2016. In 2019, he obtained a Master of Philosophy (MPhil) degree in Computer Information Engineering from The Chinese University of Hong Kong, Shenzhen. After graduating in 2019, he worked as an algorithm engineer at Ping An Insurance and Alibaba. In 2023, he joined the Shenzhen Big Data Research Institute as an algorithm engineer.
PAPER
1. Li Wenye, Mao J., Zhang Y., Cui S. (2018) Fast Similarity Search via Optimal Sparse Lifting. In Advances in Neural Information Processing Systems 31 (NeurIPS’2018).
PATENT
1. Method, Apparatus, Computer Equipment, and Medium for Answer Generation Based on Artificial Intelligence.
2. A Semi-Supervised Method and Mobile Terminal without Consistency Constraints.
POSITION/TITLE
Algorithm Engineer
RESEARCH FIELD
Deep Learning, Network Optimization
maojingwei@sribd.cn
EDUCATION BACKGROUND
Master of the Chinese University of Hong Kong, Shenzhen
Bachelor of Xidian University
BIOGRAPHY
Mao Jingwei obtained a Bachelor's degree in Electronic Information Engineering from Xidian University in 2016. In 2019, he obtained a Master of Philosophy (MPhil) degree in Computer Information Engineering from The Chinese University of Hong Kong, Shenzhen. After graduating in 2019, he worked as an algorithm engineer at Ping An Insurance and Alibaba. In 2023, he joined the Shenzhen Big Data Research Institute as an algorithm engineer.
PAPER
1. Li Wenye, Mao J., Zhang Y., Cui S. (2018) Fast Similarity Search via Optimal Sparse Lifting. In Advances in Neural Information Processing Systems 31 (NeurIPS’2018).
PATENT
1. Method, Apparatus, Computer Equipment, and Medium for Answer Generation Based on Artificial Intelligence.
2. A Semi-Supervised Method and Mobile Terminal without Consistency Constraints.
POSITION/TITLE
Algorithm Engineer of Data-driven Intelligent Information System Laboratory
RESEARCH FIELD
Research and development of computer vision, speech, Natural language processing AI algorithms
zhouweicong@sribd.cn
EDUCATION BACKGROUND
Master, Imperial College London, UK
Bachelor, Northwest A & F University, China
AWARDS
Principle Scholarship, Northwest A&F University, 2013
Professional Scholarship, Northwest A&F University, 2010, 2011, 2012, 2013
BIOGRAPHY
I graduated from ICL with master degree in 2015. Then, I’ve been focusing on AI algorithm research and development for many years. I worked at TOSHIBA， Zhuiyi and Tencent as a senior algorithm engineer. I joined in SRIBD at September, 2023.
ACADEMIC PUBLICATIONS
Framewise Supervised Training towards End-to-End Speech Recognition Models: First Results, Mohan Li, Yuanjiang Cao, Weicong Zhou, Min Liu, INTERSPEECH, 2019
PATENTS
A method, device, computer device and storage medium to recognize overlapping speech CN111145782A
A method, system and devices to process speech CN110335621A
POSITION/TITLE
Algorithm Engineer of Data-driven Intelligent Information System Laboratory
RESEARCH FIELD
Research and development of computer vision, speech, Natural language processing AI algorithms
zhouweicong@sribd.cn
EDUCATION BACKGROUND
Master, Imperial College London, UK
Bachelor, Northwest A & F University, China
AWARDS
Principle Scholarship, Northwest A&F University, 2013
Professional Scholarship, Northwest A&F University, 2010, 2011, 2012, 2013
BIOGRAPHY
I graduated from ICL with master degree in 2015. Then, I’ve been focusing on AI algorithm research and development for many years. I worked at TOSHIBA， Zhuiyi and Tencent as a senior algorithm engineer. I joined in SRIBD at September, 2023.
ACADEMIC PUBLICATIONS
Framewise Supervised Training towards End-to-End Speech Recognition Models: First Results, Mohan Li, Yuanjiang Cao, Weicong Zhou, Min Liu, INTERSPEECH, 2019
PATENTS
A method, device, computer device and storage medium to recognize overlapping speech CN111145782A
A method, system and devices to process speech CN110335621A
POSITION/TITLE
Algorithm Engineer of Data-driven Intelligent Information System Laboratory
RESEARCH FIELD
Research and development of computer vision, speech, Natural language processing AI algorithms
zhouweicong@sribd.cn
EDUCATION BACKGROUND
Master, Imperial College London, UK
Bachelor, Northwest A & F University, China
AWARDS
Principle Scholarship, Northwest A&F University, 2013
Professional Scholarship, Northwest A&F University, 2010, 2011, 2012, 2013
BIOGRAPHY
I graduated from ICL with master degree in 2015. Then, I’ve been focusing on AI algorithm research and development for many years. I worked at TOSHIBA， Zhuiyi and Tencent as a senior algorithm engineer. I joined in SRIBD at September, 2023.
ACADEMIC PUBLICATIONS
Framewise Supervised Training towards End-to-End Speech Recognition Models: First Results, Mohan Li, Yuanjiang Cao, Weicong Zhou, Min Liu, INTERSPEECH, 2019
PATENTS
A method, device, computer device and storage medium to recognize overlapping speech CN111145782A
A method, system and devices to process speech CN110335621A
POSITION/TITLE
Algorithm Engineer of Data-driven Intelligent Information System Laboratory
RESEARCH FIELD
Research and development of computer vision, speech, Natural language processing AI algorithms
zhouweicong@sribd.cn
EDUCATION BACKGROUND
Master, Imperial College London, UK
Bachelor, Northwest A & F University, China
AWARDS
Principle Scholarship, Northwest A&F University, 2013
Professional Scholarship, Northwest A&F University, 2010, 2011, 2012, 2013
BIOGRAPHY
I graduated from ICL with master degree in 2015. Then, I’ve been focusing on AI algorithm research and development for many years. I worked at TOSHIBA， Zhuiyi and Tencent as a senior algorithm engineer. I joined in SRIBD at September, 2023.
ACADEMIC PUBLICATIONS
Framewise Supervised Training towards End-to-End Speech Recognition Models: First Results, Mohan Li, Yuanjiang Cao, Weicong Zhou, Min Liu, INTERSPEECH, 2019
PATENTS
A method, device, computer device and storage medium to recognize overlapping speech CN111145782A
A method, system and devices to process speech CN110335621A
POSITION/TITLE
Engineer
RESEARCH FIELD
Industrial Network Protocols
zhoufuqiang@sribd.cn
EDUCATION BACKGROUND
Jilin University
BIOGRAPHY
Engineer Zhou Fuqiang primarily engages in research on industrial network protocols and software development. He graduated from Jilin University with a major in Electronic Information Science and Technology in 2018. He has worked successively at Ganjiang Group and Industrial Bank, where he has conducted in-depth research on software development and industrial network protocols. He has participated in one national key R&D project, applied for multiple national patents related to time-sensitive networks, and obtained one authorized software copyright.
POSITION/TITLE
Engineer
RESEARCH FIELD
Industrial Network Protocols
zhoufuqiang@sribd.cn
EDUCATION BACKGROUND
Jilin University
BIOGRAPHY
Engineer Zhou Fuqiang primarily engages in research on industrial network protocols and software development. He graduated from Jilin University with a major in Electronic Information Science and Technology in 2018. He has worked successively at Ganjiang Group and Industrial Bank, where he has conducted in-depth research on software development and industrial network protocols. He has participated in one national key R&D project, applied for multiple national patents related to time-sensitive networks, and obtained one authorized software copyright.
