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)

Managing network congestion with tradable credit scheme: a trip-based MFD approach. - Renming Liu; Siyu Chen; Yu Jiang 002; Ravi Seshadri; Moshe E. Ben-Akiva; Carlos Lima Azevedo (CoRR, 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)

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)

Bayesian Optimization of Area-based Road Pricing. - Renming Liu; Yu Jiang 002; Carlos Lima Azevedo (MT-ITS, 2021)

PecanPy: a fast, efficient and parallelized Python implementation of node2vec. - Renming Liu; Arjun Krishnan (Bioinform., 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; et al. (CoRR, 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)

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 (LoG, 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; et al. (CoRR, 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)

Single-Cell Multimodal Prediction via Transformers. - Wenzhuo Tang; Hongzhi Wen; Renming Liu; Jiayuan Ding; Wei Jin 009; Yuying Xie 001; Hui Liu 031; Jiliang Tang (CIKM, 2023)

Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks. - Renming Liu; Arjun Krishnan (MLCB, 2023)

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation. - Hongzhi Wen; Wenzhuo Tang; Wei Jin 009; Jiayuan Ding; Renming Liu; Feng Shi; Yuying Xie 001; Jiliang Tang (CoRR, 2023)

Accurately modeling biased random walks on weighted networks using node2vec+. - Renming Liu; Matthew J. Hirn; Arjun Krishnan (Bioinform., 2023)

PyGenePlexus: a Python package for gene discovery using network-based machine learning. - Christopher A. Mancuso; Renming Liu; Arjun Krishnan (Bioinform., 2023)

Graph Positional and Structural Encoder. - Semih Cantürk; Renming Liu; Olivier Lapointe-Gagné; Vincent Létourneau; Guy Wolf; Dominique Beaini; Ladislav Rampásek (ICML, 2024)

CONE: COntext-specific Network Embedding via Contextualized Graph Attention. - Renming Liu; Hao Yuan; Kayla A. Johnson; Arjun Krishnan (MLCB, 2024)

SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. - Jiayuan Ding; Lingxiao Li; Qiaolin Lu; Julian Venegas; Yixin Wang 003; Lidan Wu; Wei Jin 009; Hongzhi Wen; Renming Liu; Wenzhuo Tang; Xinnan Dai; Zhaoheng Li; et al. (J. Comput. Biol., 2024)

Revisiting perceived gratification, consumer attitudes and purchase impulses in cross-border e-commerce live streaming: a direct and indirect effects model. - Renming Liu; Abu Bakar Abdul Hamid; Noor Inayah Ya'akub (J. Syst. Inf. Technol., 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., 2024)

Deep Learning in Single-cell Analysis. - Dylan Molho; Jiayuan Ding; Wenzhuo Tang; Zhaoheng Li; Hongzhi Wen; Yixin Wang 003; Julian Venegas; Wei Jin 009; Renming Liu; Runze Su; Patrick Danaher; Robert Yang; et al. (ACM Trans. Intell. Syst. Technol., 2024)

DS-ALNS for Practical Sorting Optimization in Parcel Distribution Centers. - Wei Zhang 001; Le Liao; Renming Liu; Boqun Huang; Yuanming Tian; Chuan Huang 001 (ICIT, 2025)

Digital Twin for Intelligent Parcel Sorting: Advancing Real-Time Management and Optimization in Logistics Networks. - Wei Zhang; Renming Liu; Yuanming Tian; Le Liao; Ran Li; Chuan Huang (ICIT, 2025)

Dynamic Parcel Sorting Strategies Based on Digital Twin Optimization. - Wei Zhang; Renming Liu; Le Liao; Chuan Huang (ICPS, 2025)

Distributed train timetable synchronization in metro network: An ADMM-based decomposition framework. - Renming Liu; Shukai Li; Lixing Yang; Ronghui Liu (Comput. Oper. Res., 2025)

Assessing the impacts of tradable credit schemes through agent-based simulation. - Renming Liu; Dimitrios Argyros; Yu Jiang 002; Moshe E. Ben-Akiva; Ravi Seshadri; Carlos Lima Azevedo (CoRR, 2025)

Learning Variable Whole-Body Control for Agile Aerial Manipulation in Strong Winds. - Ying Wu 011; Zida Zhou; Mingxin Wei; Lijie Xie; Renming Liu; Hui Cheng (IEEE Robotics Autom. Lett., 2025)