Renming Liu

According to our database, Renming Liu authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Joint representation of molecular networks from multiple species improves gene classification.

Christopher A. Mancuso, Kayla A. Johnson, Renming Liu, Arjun Krishnan

PLoS Comput. Biol., January, 2024

2023

PyGenePlexus: a Python package for gene discovery using network-based machine learning.

Christopher A. Mancuso, Renming Liu, Arjun Krishnan

Bioinform., February, 2023

Accurately modeling biased random walks on weighted networks using <i>node2vec+</i>.

Renming Liu, Matthew J. Hirn, Arjun Krishnan

Bioinform., January, 2023

Graph Positional and Structural Encoder.

Renming Liu, Semih Cantürk, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek

CoRR, 2023

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation.

Hongzhi Wen, Wenzhuo Tang, Wei Jin, Jiayuan Ding, Renming Liu, Feng Shi, Yuying Xie, Jiliang Tang

CoRR, 2023

Single-Cell Multimodal Prediction via Transformers.

Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

GenePlexus: a web-server for gene discovery using network-based machine learning.

Christopher A. Mancuso, Patrick S. Bills, Douglas Krum, Jacob Newsted, Renming Liu, Arjun Krishnan

Nucleic Acids Res., 2022

Deep Learning in Single-Cell Analysis.

Dylan Molho, Jiayuan Ding, Zhaoheng Li, Hongzhi Wen, Wenzhuo Tang, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang

CoRR, 2022

Taxonomy of Benchmarks in Graph Representation Learning.

Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek

CoRR, 2022

Taxonomy of Benchmarks in Graph Representation Learning.

Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek

Proceedings of the Learning on Graphs Conference, 2022

2021

Automatic stress Detection in Reinforced Bar based on metal magnetic Memory.

Lei Liu, Jianting Zhou, Ruiqiang Zhao, Renming Liu, Leng Liao

Int. J. Robotics Autom., 2021

Towards a Taxonomy of Graph Learning Datasets.

Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek

CoRR, 2021

PecanPy: a fast, efficient and parallelized Python implementation of node2vec.

Renming Liu, Arjun Krishnan

Bioinform., 2021

Bayesian Optimization of Area-based Road Pricing.

Renming Liu, Yu Jiang, Carlos Lima Azevedo

Proceedings of the 7th International Conference on Models and Technologies for Intelligent Transportation Systems, 2021

2020

Energy-Efficient Subway Train Scheduling Design With Time-Dependent Demand Based on an Approximate Dynamic Programming Approach.

Renming Liu, Shukai Li, Lixing Yang, Jiateng Yin

IEEE Trans. Syst. Man Cybern. Syst., 2020

Vibration-based Structural damage identification: a Review.

Jian-Yu Yang, Bin-hua Xia, Zeng-Shun Chen, Tianlong Li, Renming Liu

Int. J. Robotics Autom., 2020

Managing network congestion with tradable credit scheme: a trip-based MFD approach.

Renming Liu, Siyu Chen, Yu Jiang, Ravi Seshadri, Moshe E. Ben-Akiva, Carlos Lima Azevedo

CoRR, 2020

Supervised learning is an accurate method for network-based gene classification.

Renming Liu, Christopher A. Mancuso, Anna Yannakopoulos, Kayla A. Johnson, Arjun Krishnan

Bioinform., 2020