Pengyu Liu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Topics

Trained Neural Network

Boolean Functions

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

J. Comput. Biol.

Publications

Avraham A. Melkman, Sini Guo, Wai-Ki Ching, Pengyu Liu, Tatsuya Akutsu
On the Compressive Power of Boolean Threshold Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Sini Guo, Pengyu Liu, Wai-Ki Ching, Tatsuya Akutsu
On the Distribution of Successor States in Boolean Threshold Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Pengyu Liu, Jiangning Song, Chun-Yu Lin, Tatsuya Akutsu
ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites. BMC Bioinform. 22 (1) (2021)
Avraham A. Melkman, Sini Guo, Wai-Ki Ching, Pengyu Liu, Tatsuya Akutsu
On the Compressive Power of Boolean Threshold Autoencoders. CoRR (2020)
Pengyu Liu, Avraham A. Melkman, Tatsuya Akutsu
Extracting boolean and probabilistic rules from trained neural networks. Neural Networks 126 (2020)
Yu Bao, Morihiro Hayashida, Pengyu Liu, Masayuki Ishitsuka, Jose C. Nacher, Tatsuya Akutsu
Analysis of Critical and Redundant Vertices in Controlling Directed Complex Networks Using Feedback Vertex Sets. J. Comput. Biol. 25 (10) (2018)