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2020 – today
- 2024
[j6]Gang Liu
, Eric Inae, Tengfei Luo, Meng Jiang:
Rationalizing Graph Neural Networks with Data Augmentation. ACM Trans. Knowl. Discov. Data 18(4): 86:1-86:23 (2024)- [i9]Deepak Akhare, Tengfei Luo, Jian-Xun Wang:
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling. CoRR abs/2401.00161 (2024) - [i8]Gang Liu, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Inverse Molecular Design with Multi-Conditional Diffusion Guidance. CoRR abs/2401.13858 (2024) - [i7]Seongmin Kim, Tengfei Luo, Eungkyu Lee, In-Saeng Suh:
Distributed Quantum Approximate Optimization Algorithm on Integrated High-Performance Computing and Quantum Computing Systems for Large-Scale Optimization. CoRR abs/2407.20212 (2024) - 2023
- [j5]Zheng Wang, Guihu Zhao, Bin Li, Zhenghuan Fang, Qian Chen, Xiaomeng Wang, Tengfei Luo, Yijing Wang, Qiao Zhou, Kuokuo Li, Lu Xia, Yi Zhang, Xun Zhou, Hongxu Pan, Yuwen Zhao, Yige Wang, Lin Wang, Jifeng Guo, Beisha Tang, Kun Xia, Jinchen Li:
Performance Comparison of Computational Methods for the Prediction of the Function and Pathogenicity of Non-coding Variants. Genom. Proteom. Bioinform. 21(3): 649-661 (2023) - [c5]Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang:
Semi-Supervised Graph Imbalanced Regression. KDD 2023: 1453-1465 - [c4]Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Data-Centric Learning from Unlabeled Graphs with Diffusion Model. NeurIPS 2023 - [i6]Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Data-Centric Learning from Unlabeled Graphs with Diffusion Model. CoRR abs/2303.10108 (2023) - [i5]Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang:
Semi-Supervised Graph Imbalanced Regression. CoRR abs/2305.12087 (2023) - [i4]Deepak Akhare, Zeping Chen, Richard Gulotty, Tengfei Luo, Jian-Xun Wang:
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process. CoRR abs/2311.07798 (2023) - 2022
- [c3]Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Graph Rationalization with Environment-based Augmentations. KDD 2022: 1069-1078 - [i3]Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Graph Rationalization with Environment-based Augmentations. CoRR abs/2206.02886 (2022) - 2021
- [i2]Seunghyun Moon, Ruimin Ma, Ross Attardo, Charles Tomonto, Mark Nordin, Paul Wheelock, Michael Glavicic, Maxwell Layman, Richard Billo, Tengfei Luo:
Impact of Surface and Pore Characteristics on Fatigue Life of Laser Powder Bed Fusion Ti-6Al-4V Alloy Described by Neural Network Models. CoRR abs/2109.09655 (2021) - [i1]Sina Malakpour Estalaki, Cody S. Lough, Robert G. Landers, Edward C. Kinzel, Tengfei Luo:
Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal Imaging Data and Machine Learning. CoRR abs/2112.11212 (2021) - 2020
- [j4]Ruimin Ma, Tengfei Luo:
PI1M: A Benchmark Database for Polymer Informatics. J. Chem. Inf. Model. 60(10): 4684-4690 (2020) - [j3]Guihu Zhao, Kuokuo Li, Bin Li, Zheng Wang, Zhenghuan Fang, Xiaomeng Wang, Yi Zhang, Tengfei Luo, Qiao Zhou, Lin Wang, Yali Xie, Yijing Wang, Qian Chen, Lu Xia, Yu Tang, Beisha Tang, Kun Xia, Jinchen Li:
Gene4Denovo: an integrated database and analytic platform for de novo mutations in humans. Nucleic Acids Res. 48(Database-Issue): D913-D926 (2020)
2010 – 2019
- 2019
- [j2]Sorour Alotaibi, Osama M. Ibrahim, Yu Wang, Tengfei Luo:
Exergy Analysis of Directional Solvent Extraction Desalination Process. Entropy 21(3): 321 (2019) - [j1]Ruimin Ma, Zeyu Liu, Quanwei Zhang, Zhiyu Liu, Tengfei Luo:
Evaluating Polymer Representations via Quantifying Structure-Property Relationships. J. Chem. Inf. Model. 59(7): 3110-3119 (2019) - 2018
- [c2]Fang Liu, Yujuan Si, Tengfei Luo, Di Wang, Qi Liu, Liangliang Li:
The ECG Identification Based on GRNN. ICCS 2018: 418-422 - 2017
- [c1]Jinrun Yu, Yujuan Si, Xin Liu, Dunwei Wen, Tengfei Luo, Liuqi Lang:
ECG Identification Based on PCA-RPROP. HCI (17) 2017: 419-432
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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