Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Yikun Hu"'
Publikováno v:
IEEE Access, Vol 7, Pp 28170-28184 (2019)
The security of binary programs is significantly threatened by software vulnerabilities. When vulnerabilities are found, those applications are exposed to malicious attacks that exploit the known vulnerabilities. Thus, it is necessary to patch them w
Externí odkaz:
https://doaj.org/article/87920ceeb23146dcb21da726ac7a79cf
Publikováno v:
Process Safety and Environmental Protection. 174:828-837
Autor:
Chun Zhou, Yun Wang, Yikun Huang, Yongpan An, Xian Fu, Daqian Yang, Yilin Wang, Jintao Zhang, Leslie A. Mitchell, Joel S. Bader, Yizhi Cai, Junbiao Dai, Jef D. Boeke, Zhiming Cai, Zhengwei Xie, Yue Shen, Weiren Huang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract In the era of synthetic biology, design, construction, and utilization of synthetic chromosomes with unique features provide a strategy to study complex cellular processes such as aging. Herein, we successfully construct the 884 Kb synXIII o
Externí odkaz:
https://doaj.org/article/60d909e6a81a4fc18ff20ea86b0148a3
Publikováno v:
Crystal Growth & Design. 22:2462-2469
Publikováno v:
2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Publikováno v:
2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Publikováno v:
Proceedings of the 38th Annual Computer Security Applications Conference.
Publikováno v:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Publikováno v:
Neurocomputing. 542:126277
Publikováno v:
Information Sciences. 572:343-377
Recently, decomposition-based multiobjective evolutionary algorithms (DMEAs) have become more prevalent than other patterns (e.g., Pareto-based algorithms and indicator-based algorithms) for solving multiobjective optimization problems (MOPs). They u