Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration. - Houpu Yao; Jingjing Wen; Yi Ren; Bin Wu; Ze Ji (ICASSP, 2019)

Image Decomposition and Classification Through a Generative Model. - Houpu Yao; Malcolm Regan; Yezhou Yang; Yi Ren (ICIP, 2019)

A Robust and Efficient Cooler Design Inspired by Leaf Venation. - Houpu Yao; Rui Dai; Hamidreza Marvi 001 (Living Machines, 2019)

Improving Model Robustness with Transformation-Invariant Attacks. - Houpu Yao; Zhe Wang; Guangyu Nie; Yassine Mazboudi; Yezhou Yang; Yi Ren (CoRR, 2019)

Robust and Generalizable Machine Learning through Generative Models,Adversarial Training, and Physics Priors. - Houpu Yao (2019)

FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction. - Houpu Yao; Yi Gao; Yongming Liu (CoRR, 2020)

Structural dynamics simulation using a novel physics-guided machine learning method. - Yang Yu; Houpu Yao; Yongming Liu (Eng. Appl. Artif. Intell., 2020)

Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. - Bo Liu 005; Chaowei Tan; Jiazhou Wang; Tao Zeng; Huasong Shan; Houpu Yao; Heng Huang; Peng Dai 001; Liefeng Bo; Yanqing Chen (CoRR, 2021)

An Efficient and Robust System for Vertically Federated Random Forest. - Houpu Yao; Jiazhou Wang; Peng Dai 001; Liefeng Bo; Yanqing Chen (CoRR, 2022)

MFEA-Net: A pixel-adaptive multigrid finite element analysis neural network for efficient material response prediction. - Changyu Meng; Houpu Yao; Yongming Liu (Neurocomputing, 2025)