no code implementations • 8 Feb 2024 • Di Cao, Xianchen Wang, Junfeng Zhou, Jiakai Zhang, Yanjing Lei, Wenpeng Chen
Traditional Time Delay Neural Networks (TDNN) have achieved state-of-the-art performance at the cost of high computational complexity and slower inference speed, making them difficult to implement in an industrial environment.
no code implementations • 2 Oct 2021 • Kaixiang Yang, Hongya Wang, Bo Xu, Wei Wang, Yingyuan Xiao, Ming Du, Junfeng Zhou
In the middle of query execution, AdaptNN collects a number of runtime features and predicts termination condition for each individual query, by which better end-to-end latency is attained.
no code implementations • 7 Jul 2018 • Chenyang Lyu, Shouling Ji, Yuwei Li, Junfeng Zhou, Jian-hai Chen, Jing Chen
In total, our system discovers more than twice unique crashes and 5, 040 extra unique paths than the existing best seed selection strategy for the evaluated 12 applications.
Cryptography and Security