Renming Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Data Imputation

Monte Carlo Sampling

Graph Representation

Top Venues

Int. J. Robotics Autom.

Publications

Renming Liu, Abu Bakar Abdul Hamid, Noor Inayah Ya'akub
Revisiting perceived gratification, consumer attitudes and purchase impulses in cross-border e-commerce live streaming: a direct and indirect effects model. J. Syst. Inf. Technol. 26 (1) (2024)
Christopher A. Mancuso, Kayla A. Johnson, Renming Liu, Arjun Krishnan
Joint representation of molecular networks from multiple species improves gene classification. PLoS Comput. Biol. 20 (1) (2024)
Dylan Molho, Jiayuan Ding, Wenzhuo Tang, Zhaoheng Li, Hongzhi Wen, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang
Deep Learning in Single-cell Analysis. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Hongzhi Wen, Wenzhuo Tang, Wei Jin, Jiayuan Ding, Renming Liu, Feng Shi, Yuying Xie, Jiliang Tang
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation. CoRR (2023)
Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
Single-Cell Multimodal Prediction via Transformers. CoRR (2023)
Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
Single-Cell Multimodal Prediction via Transformers. CIKM (2023)
Christopher A. Mancuso, Renming Liu, Arjun Krishnan
PyGenePlexus: a Python package for gene discovery using network-based machine learning. Bioinform. 39 (2) (2023)
Renming Liu, Semih Cantürk, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
Graph Positional and Structural Encoder. CoRR (2023)
Renming Liu, Arjun Krishnan
Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks. MLCB (2023)
Renming Liu, Matthew J. Hirn, Arjun Krishnan
. Bioinform. 39 (1) (2023)
Christopher A. Mancuso, Patrick S. Bills, Douglas Krum, Jacob Newsted, Renming Liu, Arjun Krishnan
GenePlexus: a web-server for gene discovery using network-based machine learning. Nucleic Acids Res. 50 (W1) (2022)
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
Deep Learning in Single-Cell Analysis. CoRR (2022)
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
Taxonomy of Benchmarks in Graph Representation Learning. CoRR (2022)
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
Taxonomy of Benchmarks in Graph Representation Learning. LoG (2022)
Renming Liu, Yu Jiang, Carlos Lima Azevedo
Bayesian Optimization of Area-based Road Pricing. MT-ITS (2021)
Lei Liu, Jianting Zhou, Ruiqiang Zhao, Renming Liu, Leng Liao
Automatic stress Detection in Reinforced Bar based on metal magnetic Memory. Int. J. Robotics Autom. 36 (5) (2021)
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampásek
Towards a Taxonomy of Graph Learning Datasets. CoRR (2021)
Renming Liu, Matthew Hirn, Arjun Krishnan
Accurately Modeling Biased Random Walks on Weighted Graphs Using Node2vec+. CoRR (2021)
Renming Liu, Arjun Krishnan
PecanPy: a fast, efficient and parallelized Python implementation of node2vec. Bioinform. 37 (19) (2021)
Renming Liu, Christopher A. Mancuso, Anna Yannakopoulos, Kayla A. Johnson, Arjun Krishnan
Supervised learning is an accurate method for network-based gene classification. Bioinform. 36 (11) (2020)
Renming Liu, Yu Jiang, Carlos Lima Azevedo
Bayesian Optimization of Area-based Road Pricing. CoRR (2020)
Jian-Yu Yang, Bin-hua Xia, Zeng-Shun Chen, Tianlong Li, Renming Liu
Vibration-based Structural damage identification: a Review. Int. J. Robotics Autom. 35 (2) (2020)
Renming Liu, Siyu Chen, Yu Jiang, Ravi Seshadri, Moshe E. Ben-Akiva, Carlos Lima Azevedo
Managing network congestion with tradable credit scheme: a trip-based MFD approach. CoRR (2020)
Renming Liu, Shukai Li, Lixing Yang, Jiateng Yin
Energy-Efficient Subway Train Scheduling Design With Time-Dependent Demand Based on an Approximate Dynamic Programming Approach. IEEE Trans. Syst. Man Cybern. Syst. 50 (7) (2020)