2022

Wu, Hao, He, Ligang, Li, Chang-Tsun, Li, Junyu, Wu, Wentai and Maple, Carsten (2022) MGGAN : Improving sample generations of Generative Adversarial Networks. In: 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Haikou, Hainan, China, 20-22 Dec 2021. Published in: 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) ISBN 9781665494571. doi:10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00073

2020

Li, Junyu (2020) Accelerating the processing of deep neural networks. PhD thesis, University of Warwick.

Li, Junyu, He, Ligang, Ren, Shenyuan and Mao, Rui (2020) Developing a loss prediction-based asynchronous stochastic gradient descent algorithm for distributed training of deep neural networks. In: 49th International Conference on Parallel Processing (ICPP2020), Virtual conference, 17-20 Aug 2020. Published in: ICPP '20: 49th International Conference on Parallel Processing - ICPP ISBN 9781450388160. doi:10.1145/3404397.3404432

Alghamdi, Mohammed, He, Ligang, Zhou, Yujue and Li, Junyu (2020) Developing the parallelization methods for finding the all-pairs shortest paths in distributed memory architecture. In: 38th IEEE International Performance Computing and Communications Conference (IPCCC), London, UK, 29-31 Oct 2019 ISBN 9781728110257. doi:10.1109/IPCCC47392.2019.8958713 ISSN 2374-9628.