ECG Identification Based on PCA-RPROP. - Jinrun Yu; Yujuan Si; Xin Liu; Dunwei Wen; Tengfei Luo; Liuqi Lang (HCI (17), 2017)

The ECG Identification Based on GRNN. - Fang Liu; Yujuan Si; Tengfei Luo; Di Wang 033; Qi Liu; Liangliang Li 001 (ICCS, 2018)

Exergy Analysis of Directional Solvent Extraction Desalination Process. - Sorour Alotaibi; Osama M. Ibrahim; Yu Wang; Tengfei Luo (Entropy, 2019)

Evaluating Polymer Representations via Quantifying Structure-Property Relationships. - Ruimin Ma; Zeyu Liu; Quanwei Zhang; Zhiyu Liu; Tengfei Luo (J. Chem. Inf. Model., 2019)

PI1M: A Benchmark Database for Polymer Informatics. - Ruimin Ma; Tengfei Luo (J. Chem. Inf. Model., 2020)

Gene4Denovo: an integrated database and analytic platform for de novo mutations in humans. - Guihu Zhao; Kuokuo Li; Bin Li; Zheng Wang 069; Zhenghuan Fang; Xiaomeng Wang; Yi Zhang; Tengfei Luo; Qiao Zhou; Lin Wang 104; Yali Xie; Yijing Wang 003; et al. (Nucleic Acids Res., 2020)

Impact of Surface and Pore Characteristics on Fatigue Life of Laser Powder Bed Fusion Ti-6Al-4V Alloy Described by Neural Network Models. - Seunghyun Moon; Ruimin Ma; Ross Attardo; Charles Tomonto; Mark Nordin; Paul Wheelock; Michael Glavicic; Maxwell Layman; Richard Billo; Tengfei Luo (CoRR, 2021)

Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal Imaging Data and Machine Learning. - Sina Malakpour Estalaki; Cody S. Lough; Robert G. Landers; Edward C. Kinzel; Tengfei Luo (CoRR, 2021)

Graph Rationalization with Environment-based Augmentations. - Gang Liu 025; Tong Zhao 003; Jiaxin Xu; Tengfei Luo; Meng Jiang 001 (KDD, 2022)

Semi-Supervised Graph Imbalanced Regression. - Gang Liu 025; Tong Zhao 003; Eric Inae; Tengfei Luo; Meng Jiang 001 (KDD, 2023)

Data-Centric Learning from Unlabeled Graphs with Diffusion Model. - Gang Liu 025; Eric Inae; Tong Zhao 003; Jiaxin Xu; Tengfei Luo; Meng Jiang 001 (NeurIPS, 2023)

Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process. - Deepak Akhare; Zeping Chen; Richard Gulotty; Tengfei Luo; Jian-Xun Wang 001 (CoRR, 2023)

Performance Comparison of Computational Methods for the Prediction of the Function and Pathogenicity of Non-coding Variants. - Zheng Wang 069; Guihu Zhao; Bin Li; Zhenghuan Fang; Qian Chen; Xiaomeng Wang; Tengfei Luo; Yijing Wang 003; Qiao Zhou; Kuokuo Li; Lu Xia; Yi Zhang; et al. (Genom. Proteom. Bioinform., 2023)

Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning. - Xiaobao Huang; Mihir Surve; Yuhan Liu; Tengfei Luo; Olaf Wiest; Xiangliang Zhang 001; Nitesh V. Chawla (CIKM, 2024)

Graph Diffusion Transformers for Multi-Conditional Molecular Generation. - Gang Liu; Jiaxin Xu; Tengfei Luo; Meng Jiang (NeurIPS, 2024)

DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling. - Deepak Akhare; Tengfei Luo; Jian-Xun Wang 001 (CoRR, 2024)

Inverse Molecular Design with Multi-Conditional Diffusion Guidance. - Gang Liu 025; Jiaxin Xu; Tengfei Luo; Meng Jiang 001 (CoRR, 2024)

Distributed Quantum Approximate Optimization Algorithm on Integrated High-Performance Computing and Quantum Computing Systems for Large-Scale Optimization. - Seongmin Kim; Tengfei Luo; Eungkyu Lee; In-Saeng Suh (CoRR, 2024)

Rationalizing Graph Neural Networks with Data Augmentation. - Gang Liu 025; Eric Inae; Tengfei Luo; Meng Jiang 001 (ACM Trans. Knowl. Discov. Data, 2024)

POINT2: A Polymer Informatics Training and Testing Database. - Jiaxin Xu; Gang Liu 025; Ruilan Guo; Meng Jiang 001; Tengfei Luo (CoRR, 2025)

Implicit Neural Differential Model for Spatiotemporal Dynamics. - Deepak Akhare; Pan Du; Tengfei Luo; Jian-Xun Wang 001 (CoRR, 2025)

Quantum Annealing for Combinatorial Optimization: A Benchmarking Study. - Seongmin Kim; Sang-Woo Ahn; In-Saeng Suh; Alexander W. Dowling; Eungkyu Lee; Tengfei Luo (CoRR, 2025)

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model. - Zeping Chen; Marwa Yacouti; Maryam Shakiba; Jian-Xun Wang 001; Tengfei Luo; Vikas Varshney (CoRR, 2025)

Learning Repetition-Invariant Representations for Polymer Informatics. - Yihan Zhu; Gang Liu 025; Eric Inae; Tengfei Luo; Meng Jiang 001 (CoRR, 2025)

GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems. - Zhihao Xu; Srikar Chundury; Seongmin Kim; Amir Shehata; Xinyi Li; Ang Li; Tengfei Luo; Frank Mueller 001; In-Saeng Suh (CoRR, 2025)