Ke Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Unsupervised Learning

Personalized Recommendation

Successive Approximation

Top Venues

Neural Comput. Appl.

Publications

Shangde Gao, Yichao Fu, Ke Liu, Wei Gao, Hongxia Xu, Jian Wu, Yuqiang Han
Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning. Inf. Sci. 669 (2024)
Ke Liu, Kaifan Yang, Shangde Gao
A periodicity aware transformer for crystal property prediction. Neural Comput. Appl. 36 (12) (2024)
Ke Liu, Xuan Zhang, Jinin So, Jong-Geon Lee, Shinhaeng Kang, Sukhan Lee, Songyi Han, YeonGon Cho, Jin Hyun Kim, Yongsuk Kwon, KyungSoo Kim, Jin Jung, IlKwon Yun, Sung Joo Park, Hyunsun Park, Joon-Ho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim, Hsien-Hsin S. Lee
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM. IEEE Micro 42 (1) (2022)
Weidong Cao, Ke Liu, Ayan Chakrabarti, Xuan Zhang
Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (5) (2021)
Xin He, Guihai Yan, Wenyan Lu, Xuan Zhang, Ke Liu
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks. IEEE Des. Test 37 (1) (2020)