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2020 – today
- 2024
[j12]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:
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. J. Comput. Biol. 31(9): 871-885 (2024)- [j11]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): 51-70 (2024) - [j10]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) - [j9]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): 40:1-40:62 (2024) - [c5]Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek:
Graph Positional and Structural Encoder. ICML 2024 - 2023
- [j8]Renming Liu, Matthew J. Hirn, Arjun Krishnan:
Accurately modeling biased random walks on weighted networks using node2vec+. Bioinform. 39(1) (2023) - [j7]Christopher A. Mancuso, Renming Liu, Arjun Krishnan:
PyGenePlexus: a Python package for gene discovery using network-based machine learning. Bioinform. 39(2) (2023) - [c4]Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang:
Single-Cell Multimodal Prediction via Transformers. CIKM 2023: 2422-2431 - [c3]Renming Liu, Arjun Krishnan:
Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks. MLCB 2023: 23-59 - [i8]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 abs/2302.03038 (2023) - [i7]Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang:
Single-Cell Multimodal Prediction via Transformers. CoRR abs/2303.00233 (2023) - [i6]Renming Liu, Semih Cantürk, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek:
Graph Positional and Structural Encoder. CoRR abs/2307.07107 (2023) - 2022
- [j6]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): 358-366 (2022) - [c2]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: 6 - [i5]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 abs/2206.07729 (2022) - [i4]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 abs/2210.12385 (2022) - 2021
- [j5]Renming Liu, Arjun Krishnan:
PecanPy: a fast, efficient and parallelized Python implementation of node2vec. Bioinform. 37(19): 3377-3379 (2021) - [j4]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) - [c1]Renming Liu, Yu Jiang, Carlos Lima Azevedo:
Bayesian Optimization of Area-based Road Pricing. MT-ITS 2021: 1-6 - [i3]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:
Towards a Taxonomy of Graph Learning Datasets. CoRR abs/2110.14809 (2021) - 2020
- [j3]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): 3457-3465 (2020) - [j2]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) - [j1]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): 2475-2490 (2020) - [i2]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 abs/2009.06965 (2020) - [i1]Renming Liu, Yu Jiang, Carlos Lima Azevedo:
Bayesian Optimization of Area-based Road Pricing. CoRR abs/2012.11047 (2020)
Coauthor Index
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