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2020 – today
- 2026
[j7]Xiaochuan Guo, Hongxia Lin, Ruiqi You, Wenjie Yao:
Global well-posedness for 2D Navier-Stokes equations with horizontal dissipation in only one component. Appl. Math. Lett. 172: 109719 (2026)- [j6]Suxia Zhu
, Jifa Jin, Wenjie Yao, Guanglu Sun:
A class-aware calibration and balanced consistency weighting framework for Federated Semi-Supervised Learning. Eng. Appl. Artif. Intell. 164: 113213 (2026) - 2025
- [j5]Xiaoming Fang, Xinyi Chen, Han Chen, Zewei Li, Xiaoqian Chen, Huilin Huang, Wenjie Yao:
Joint Optimization of Sensing-Communication-Computing Resource Allocation for Transparent and Secure Control in Distribution Networks. IEEE Trans. Consumer Electron. 71(2): 2974-2987 (2025) - [j4]Wenjie Yao, Guanglu Sun, Suxia Zhu, Ruidong Wang, Xinzhong Zhu, Huiying Xu, Xiguang Wei:
FedRDA: Representation Deviation Alignment in Heterogeneous Federated Learning. IEEE Trans. Ind. Informatics 21(11): 8892-8902 (2025) - [c5]Lele Gao, Zhihao Li, Junpeng Yu, Jianning Zhang, Wenjie Yao, Hongnian Wang:
CFC-GMixer: Closed-Form Continuous-Time Graph Networks with Multi-Scale Feature Mixer for Stock Predictions. IJCNN 2025: 1-8 - [c4]Junpeng Yu, Wenjie Yao, Zhihao Li, Lele Gao, Wenyun Xiao, Hongnian Wang:
ALSGCN: An Attention-based Long- and Short-term Graph Convolutional Network for Stock Recommendation. SMC 2025: 3186-3191 - 2023
- [j3]Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu:
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3635-3647 (2023) - [c3]Wenjie Yao, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xianjun Shen, Tingting He:
Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction. BIBM 2023: 1643-1648 - 2022
- [b1]Wenjie Yao:
Inverse Design of Random Emitters in Nanophotonics. MIT, USA, 2022 - [j2]Lili Wang, Wenjie Yao, Chen Chen, Hailu Yang:
Driving Behavior Recognition Algorithm Combining Attention Mechanism and Lightweight Network. Entropy 24(7): 984 (2022) - [c2]Wenjie Yao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen, Tingting He:
MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction. BIBM 2022: 627-632 - 2021
- [j1]Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson:
Physics-Informed Neural Networks with Hard Constraints for Inverse Design. SIAM J. Sci. Comput. 43(6): B1105-B1132 (2021) - [i1]Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson:
Physics-informed neural networks with hard constraints for inverse design. CoRR abs/2102.04626 (2021)
2010 – 2019
- 2019
- [c1]Wenjie Yao, Taihui Liu:
An Image Segmentation Method Based on Peak-valley Principle and K-means Algorithm. DMIP 2019: 22-25
Coauthor Index
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