An Image Segmentation Method Based on Peak-valley Principle and K-means Algorithm. - Wenjie Yao; Taihui Liu (DMIP, 2019)

Physics-Informed Neural Networks with Hard Constraints for Inverse Design. - Lu Lu 010; Raphaël Pestourie; Wenjie Yao; Zhicheng Wang; Francesc Verdugo; Steven G. Johnson (SIAM J. Sci. Comput., 2021)

MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction. - Wenjie Yao; Weizhong Zhao; Xingpeng Jiang; Xianjun Shen; Tingting He 003 (BIBM, 2022)

Driving Behavior Recognition Algorithm Combining Attention Mechanism and Lightweight Network. - Lili Wang 008; Wenjie Yao; Chen Chen; Hailu Yang 001 (Entropy, 2022)

Inverse Design of Random Emitters in Nanophotonics - Wenjie Yao (2022)

Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction. - Wenjie Yao; Weizhong Zhao; Xiaowei Xu 001; Xingpeng Jiang; Xianjun Shen; Tingting He 003 (BIBM, 2023)

An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. - Weizhong Zhao; Wenjie Yao; Xingpeng Jiang; Tingting He 003; Chuan Shi 001; Xiaohua Hu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Joint Optimization of Sensing-Communication-Computing Resource Allocation for Transparent and Secure Control in Distribution Networks. - Xiaoming Fang; Xinyi Chen; Han Chen; Zewei Li; Xiaoqian Chen; Huilin Huang; Wenjie Yao (IEEE Trans. Consumer Electron., 2025)