Renming Liu

33 papers A* 2A 1Journal 23Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Assessing the impacts of tradable credit schemes through agent-based simulation.
CoRR
Renming Liu, Dimitrios Argyros, Yu Jiang, Moshe E. Ben-Akiva, Ravi Seshadri, Carlos Lima Azevedo
2025 — conf
DS-ALNS for Practical Sorting Optimization in Parcel Distribution Centers.
ICIT
Wei Zhang, Le Liao, Renming Liu, Boqun Huang, Yuanming Tian, Chuan Huang
2025 — conf
Digital Twin for Intelligent Parcel Sorting: Advancing Real-Time Management and Optimization in Logistics Networks.
ICIT
Wei Zhang, Renming Liu, Yuanming Tian, Le Liao, Ran Li, Chuan Huang
2025 J jnl
Distributed train timetable synchronization in metro network: An ADMM-based decomposition framework.
Comput. Oper. Res.
Renming Liu, Shukai Li, Lixing Yang, Ronghui Liu
2025 — conf
Dynamic Parcel Sorting Strategies Based on Digital Twin Optimization.
ICPS
Wei Zhang, Renming Liu, Le Liao, Chuan Huang
2025 J jnl
Learning Variable Whole-Body Control for Agile Aerial Manipulation in Strong Winds.
IEEE Robotics Autom. Lett.
Ying Wu, Zida Zhou, Mingxin Wei, Lijie Xie, Renming Liu, Hui Cheng
2025 A* conf
RM-Planner: Integrating Reinforcement Learning with Whole-Body Model Predictive Control for Mobile Manipulation.
ICRA
Zixuan Zhuang, Le Zheng, Wanyue Li, Renming Liu, Peng Lu, Hui Cheng
2024 — conf
CONE: COntext-specific Network Embedding via Contextualized Graph Attention.
MLCB
Renming Liu, Hao Yuan, Kayla A. Johnson, Arjun Krishnan
2024 J jnl
Deep Learning in Single-cell Analysis.
ACM Trans. Intell. Syst. Technol.
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
2024 A* conf
Graph Positional and Structural Encoder.
ICML
Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
2024 J jnl
Joint representation of molecular networks from multiple species improves gene classification.
PLoS Comput. Biol.
Christopher A. Mancuso, Kayla A. Johnson, Renming Liu, Arjun Krishnan
2024 J jnl
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.
Renming Liu, Abu Bakar Abdul Hamid, Noor Inayah Ya'akub
2024 J jnl
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.
J. Comput. Biol.
Jiayuan Ding, Lingxiao Li, Qiaolin Lu, Julian Venegas, Yixin Wang, Lidan Wu, Wei Jin, Hongzhi Wen, Renming Liu, Wenzhuo Tang, Xinnan Dai, Zhaoheng Li, Wangyang Zuo, Yi Chang, Yu Leo Lei, Lulu Shang, Patrick Danaher, Yuying Xie, Jiliang Tang
2023 J jnl
Accurately modeling biased random walks on weighted networks using
Bioinform.
Renming Liu, Matthew J. Hirn, Arjun Krishnan
2023 J jnl
Graph Positional and Structural Encoder.
CoRR
Renming Liu, Semih Cantürk, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
2023 — conf
Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks.
MLCB
Renming Liu, Arjun Krishnan
2023 J jnl
PyGenePlexus: a Python package for gene discovery using network-based machine learning.
Bioinform.
Christopher A. Mancuso, Renming Liu, Arjun Krishnan
2023 J jnl
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation.
CoRR
Hongzhi Wen, Wenzhuo Tang, Wei Jin, Jiayuan Ding, Renming Liu, Feng Shi, Yuying Xie, Jiliang Tang
2023 A conf
Single-Cell Multimodal Prediction via Transformers.
CIKM
Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
2023 J jnl
Single-Cell Multimodal Prediction via Transformers.
CoRR
Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
2022 J jnl
Deep Learning in Single-Cell Analysis.
CoRR
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
2022 J jnl
GenePlexus: a web-server for gene discovery using network-based machine learning.
Nucleic Acids Res.
Christopher A. Mancuso, Patrick S. Bills, Douglas Krum, Jacob Newsted, Renming Liu, Arjun Krishnan
2022 — conf
Taxonomy of Benchmarks in Graph Representation Learning.
LoG
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
2022 J jnl
Taxonomy of Benchmarks in Graph Representation Learning.
CoRR
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
2021 J jnl
Automatic stress Detection in Reinforced Bar based on metal magnetic Memory.
Int. J. Robotics Autom.
Lei Liu, Jianting Zhou, Ruiqiang Zhao, Renming Liu, Leng Liao
2021 — conf
Bayesian Optimization of Area-based Road Pricing.
MT-ITS
Renming Liu, Yu Jiang, Carlos Lima Azevedo
2021 J jnl
PecanPy: a fast, efficient and parallelized Python implementation of node2vec.
Bioinform.
Renming Liu, Arjun Krishnan
2021 J jnl
Towards a Taxonomy of Graph Learning Datasets.
CoRR
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
2020 J jnl
Bayesian Optimization of Area-based Road Pricing.
CoRR
Renming Liu, Yu Jiang, Carlos Lima Azevedo
2020 J jnl
Energy-Efficient Subway Train Scheduling Design With Time-Dependent Demand Based on an Approximate Dynamic Programming Approach.
IEEE Trans. Syst. Man Cybern. Syst.
Renming Liu, Shukai Li, Lixing Yang, Jiateng Yin
2020 J jnl
Managing network congestion with tradable credit scheme: a trip-based MFD approach.
CoRR
Renming Liu, Siyu Chen, Yu Jiang, Ravi Seshadri, Moshe E. Ben-Akiva, Carlos Lima Azevedo
2020 J jnl
Supervised learning is an accurate method for network-based gene classification.
Bioinform.
Renming Liu, Christopher A. Mancuso, Anna Yannakopoulos, Kayla A. Johnson, Arjun Krishnan
2020 J jnl
Vibration-based Structural damage identification: a Review.
Int. J. Robotics Autom.
Jian-Yu Yang, Bin-hua Xia, Zeng-Shun Chen, Tianlong Li, Renming Liu