Wenjie Yao

According to our database, Wenjie Yao authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Federated Chain Context Optimization for Long-Tailed Multi-Label Image Classification.

Libao Zhang, Suxia Zhu, Wenjie Yao, Guanglu Sun

IEEE Trans. Mob. Comput., June, 2026

DFGLIoT: A Dual-Fusion Graph Learning Framework for Cross-Institutional Mobile IoT Device Identification.

Xuhui Wang, Guanglu Sun, Xin Liu, Libao Zhang, Wenjie Yao

IEEE Internet Things J., 2026

A class-aware calibration and balanced consistency weighting framework for Federated Semi-Supervised Learning.

Suxia Zhu, Jifa Jin, Wenjie Yao, Guanglu Sun

Eng. Appl. Artif. Intell., 2026

Global well-posedness for 2D Navier-Stokes equations with horizontal dissipation in only one component.

Xiaochuan Guo, Hongxia Lin, Ruiqi You, Wenjie Yao

Appl. Math. Lett., 2026

Record 3 ms Switching Time Wavelength Selective Switch.

Yuyang Liu, Shiqiang Li, Fanmiao Kong, Wenjie Yao, Junyu Hua, Xiaojia Si, Lizhen Lu, Wei Jia, Zhijun Zhu, Hao Wang, Xinhua Xiao, Xiaolu Song, Zhiwu Chang, Anxu Zhang, Hao Liu, Xia Sheng, Xishuo Wang, Kai Lv, Wenqiang Zhang, Xiaoli Huo, Junjie Li

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2026

2025

FedRDA: Representation Deviation Alignment in Heterogeneous Federated Learning.

Wenjie Yao, Guanglu Sun, Suxia Zhu, Ruidong Wang, Xinzhong Zhu, Huiying Xu, Xiguang Wei

IEEE Trans. Ind. Informatics, November, 2025

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., May, 2025

ALSGCN: An Attention-based Long- and Short-term Graph Convolutional Network for Stock Recommendation.

Junpeng Yu, Wenjie Yao, Zhihao Li, Lele Gao, Wenyun Xiao, Hongnian Wang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

CFC-GMixer: Closed-Form Continuous-Time Graph Networks with Multi-Scale Feature Mixer for Stock Predictions.

Lele Gao, Zhihao Li, Junpeng Yu, Jianning Zhang, Wenjie Yao, Hongnian Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

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, Chuan Shi, Xiaohua Hu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction.

Wenjie Yao, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xianjun Shen, Tingting He

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Inverse Design of Random Emitters in Nanophotonics

Wenjie Yao

PhD thesis, 2022

Driving Behavior Recognition Algorithm Combining Attention Mechanism and Lightweight Network.

Lili Wang, Wenjie Yao, Chen Chen, Hailu Yang

Entropy, 2022

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Physics-Informed Neural Networks with Hard Constraints for Inverse Design.

Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson

SIAM J. Sci. Comput., 2021

2019

An Image Segmentation Method Based on Peak-valley Principle and K-means Algorithm.

Wenjie Yao, Taihui Liu

Proceedings of the DMIP 2019: 2nd International Conference on Digital Medicine and Image Processing, 2019