Dong Qian

17 papers A* 2Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Convolutional Hierarchical Deep-learning Neural Network (C-HiDeNN) Framework for Non-linear Finite Element/Meshfree Analysis.
CoRR
Yingjian Liu, Monish Yadav Pabbala, Jiachen Guo, Chanwook Park, Gino Domel, Wing Kam Liu, Dong Qian
2025 J jnl
Large language model-empowered next-generation computer-aided engineering.
CoRR
Jiachen Guo, Chanwook Park, Dong Qian, Thomas J. R. Hughes, Wing Kam Liu
2025 J jnl
Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations.
CoRR
Jiachen Guo, Gino Domel, Chanwook Park, Hantao Zhang, Ozgur Can Gumus, Ye Lu, Gregory J. Wagner, Dong Qian, Jian Cao, Thomas J. R. Hughes, Wing Kam Liu
2025 A* conf
WyckoffDiff - A Generative Diffusion Model for Crystal Symmetry.
ICML
Filip Ekström Kelvinius, Oskar B. Andersson, Abhijith S. Parackal, Dong Qian, Rickard Armiento, Fredrik Lindsten
2025 J jnl
WyckoffDiff - A Generative Diffusion Model for Crystal Symmetry.
CoRR
Filip Ekström Kelvinius, Oskar B. Andersson, Abhijith S. Parackal, Dong Qian, Rickard Armiento, Fredrik Lindsten
2024 — conf
A Novel Conductivity Probe for Measurement of Bubble in Gas-Liquid Two-Phase Flow.
I2MTC
Ran Pang, Chao Wang, Dong Qian, Hongbing Ding, Hongjun Sun
2024 J jnl
A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling.
J. Intell. Manuf.
Runyu Zhang, Yingjian Liu, Thomas Zheng, Sarah Eddin, Steven Nolet, Yi-Ling Liang, Shaghayegh Rezazadeh, Joseph Wilson, Hongbing Lu, Dong Qian
2024 J jnl
Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration.
CoRR
Chanwook Park, Sourav Saha, Jiachen Guo, Xiaoyu Xie, Satyajit Mojumder, Miguel A. Bessa, Dong Qian, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu
2024 — conf
Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization.
ACL (Findings)
Zijian Lei, Dong Qian, William K. Cheung
2024 J jnl
PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias.
IEEE Trans. Knowl. Data Eng.
Kejing Yin, Dong Qian, William K. Cheung
2023 J jnl
Learning Hierarchical Variational Autoencoders With Mutual Information Maximization for Autoregressive Sequence Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Dong Qian, William K. Cheung
2019 — conf
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation.
EMNLP/IJCNLP (1)
Dong Qian, William K. Cheung
2019 A* conf
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization.
AAAI
Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
2017 J jnl
Drowsiness Detection by Bayesian-Copula Discriminant Classifier Based on EEG Signals During Daytime Short Nap.
IEEE Trans. Biomed. Eng.
Dong Qian, Bei Wang, Xiangyun Qing, Tao Zhang, Yu Zhang, Xingyu Wang, Masatoshi Nakamura
2015 — conf
The application of visualization techniques in recommendation systems.
BMEI
Dong Qian, Cheng Yang, Chen Li
2009 — conf
Comprehensive Evaluation of the Effects of Reform of the Resource Tax in Western China by Input-Occupancy-Output Analysis.
CSO (2)
Hong-Tao Liu, Ju'e Guo, You-Min Xi, Dong Qian
2009 — conf
Integrated Navigation System Based on Correlation between Gravity Gradient and Terrain.
CSO (2)
Fanming Liu, Dong Qian, Fengming Liu, Yan Li