Research output per year
Research output per year
Personal profile
Personal profile
Date of Birth:
Discipline: Beijing Institute of Technology Law School
Title: Lecturer
E-mail:
Zip Code:
Contact number:
Yu Hang, Han nationality, member of the Communist Party of China, Master of Law, Doctor of law, lecturer.
Discipline: Beijing Institute of Technology Law School
Title: Lecturer
E-mail:
Zip Code:
Contact number:
Yu Hang, Han nationality, member of the Communist Party of China, Master of Law, Doctor of law, lecturer.
Research Interests
Mainly engaged in marriage law, inheritance law and commercial law research
Research Achievement
(1) Books
1. Civil Law (2nd Edition) (Co-editor), Law Publishing House, 2015.
2. Civil Law Case Study, Law Publishing House, 2012.
3. Overview of National Human Rights Institutions (Co-edited), Unity Publishing House, 2011.
(2) Thesis
1. The Initial accumulation of Legal Literacy: On the Teaching of the Legal Basis of Ideological and Moral Cultivation and Legal Basis, Journal of Beijing Institute of Technology (Social Science Edition),2009 (4)
2. On the Value of the existence of non-penalty punishment methods, Journal of Beijing Institute of Technology (Social Science Edition),2003 (6)
3. On the Crime of Illegal Practice of Medicine, Law Science, No. 12 (Supplement), 2001
4. On E-commerce Crime, Social Science Journal of Shanxi Universities, No.11, 2001
Fingerprint
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- 54 Similar Profiles
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Object detection using multi-scale balanced sampling
Yu, H., Gong, J. & Chen, D., Sept 2020, In: Applied Sciences (Switzerland). 10, 17, 6053.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Salient object detection with detail-preserving pooling and feature channel refinement
Yu, H., Chen, D. & Yi, H., 20 Dec 2019, Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2019. Association for Computing Machinery, p. 127-132 6 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Video saliency detection with gated CNN and residual architecture
Yu, H., Chen, D. & Gong, J., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019. Papapetrou, P., Cheng, X. & He, Q. (eds.). IEEE Computer Society, p. 898-904 7 p. 8955652. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2019-November).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Object tracking using both a kernel and a non-parametric active contour model
Hang, Y., Derong, C. & Jiulu, G., 21 Jun 2018, In: Neurocomputing. 295, p. 108-117 10 p.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus)
