Wenlong Wu

According to our database, Wenlong Wu authored at least 24 papers between 2012 and 2024.

Collaborative distances:

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

2024

Employee Fingerprint Identification Management System Based on Bidirectional ResNext Network with Triplet Loss.

Yuezhi Yang, Qian Yang, Zhihao Su, Wenlong Wu

Proceedings of the 8th International Conference on Management Engineering, 2024

BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation.

Zekun Xu, Wenlong Wu, Zhanzuo Yin, Xinzhe Zhao, Junnan Zhuo, Bohan Li

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

MatchDet: A Collaborative Framework for Image Matching and Object Detection.

Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Trust Management Strategy for Digital Twins in Vehicular Ad Hoc Networks.

Bohan Li, Xinyang Song, Tianlun Dai, Wenlong Wu, Di Zhu, Xiangping Zhai, Hao Wen, Qinyong Lin, Huazhou Chen, Ken Cai

IEEE J. Sel. Areas Commun., October, 2023

The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond.

Direnc Pekaslan, Jose Maria Alonso-Moral, Kasun Bandara, Christoph Bergmeir, Juan Bernabé-Moreno, Robert Eigenmann, Nils Einecke, Selvi Ergen, Rakshitha Godahewa, Hansika Hewamalage, Jesus Lago, Steffen Limmer, Sven Rebhan, Boris Rabinovich, Dilini Rajapaksha, Heda Song, Christian Wagner, Wenlong Wu, Luis Magdalena, Isaac Triguero

CoRR, 2023

Clustered-patch Element Connection for Few-shot Learning.

Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack.

Qian Yang, Wenlong Wu, Yuezhi Yang, Wenchen Wu, Zhihao Su

Proceedings of the 7th International Conference on Deep Learning Technologies, 2023

Semantic Annotation of Sensor Data Using a Sequential Possibilistic Clustering Methodology.

Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu, Kari R. Lane, Marilyn Rantz

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Adaptive Assignment for Geometry Aware Local Feature Matching.

Dihe Huang, Ying Chen, Yong Liu, Jianlin Liu, Shang Xu, Wenlong Wu, Yikang Ding, Fan Tang, Chengjie Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MelicientNet: Harnessing Mel-Spectrograms and EfficientNet Architectures for Predicting Neurological Recovery Post-Cardiac Arrest.

Wenlong Wu, Ying Tan

Proceedings of the Computing in Cardiology, 2023

Time-Aware Preference Recommendation Based on Behavior Sequence.

Jiaqi Wu, Yi Liu, Yidan Xu, Yalei Zang, Wenlong Wu, Wei Zhou, Shidong Xu, Bohan Li

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning.

Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

StreamSoNG: A Soft Streaming Classification Approach.

Wenlong Wu, James M. Keller, Jeffrey Dale, James C. Bezdek

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Adaptive Assignment for Geometry Aware Local Feature Matching.

Dihe Huang, Ying Chen, Shang Xu, Yong Liu, Wenlong Wu, Yikang Ding, Chengjie Wang, Fan Tang

CoRR, 2022

Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision.

Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Explainable AI for Early Detection of Health Changes Via Streaming Clustering.

Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

tSF: Transformer-Based Semantic Filter for Few-Shot Learning.

Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Early Detection of Health Changes in the Elderly Using In-Home Multi-Sensor Data Streams.

Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu, Kari R. Lane

ACM Trans. Comput. Heal., 2021

2020

A Reactive Power Reserve Prediction Method for EV Charging Piles Based on Big Data and Optimized Neural Network.

Yibin Guan, Wenlong Wu, Jianhua Chen, Xiaochun Xu, Kanglin Cai, Wenhui Yuan

Proceedings of the Big Data and Security - Second International Conference, 2020

Sequential Possibilistic Local Information One-Means Clustering For Image Segmentation.

Wenlong Wu, James M. Keller

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Possibilistic Clustering Enabled Neuro Fuzzy Logic.

Blake Ruprecht, Wenlong Wu, Muhammad Aminul Islam, Derek Anderson, James Keller, Grant J. Scott, Curt H. Davis, Fred Petry, Paul Elmore, Kristen Nock, Elizabeth Gilmour

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Data Stream Trajectory Analysis Using Sequential Possibilistic Gaussian Mixture Model.

Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Sequential Possibilistic One-Means Clustering with Dynamic Eta.

Wenlong Wu, James M. Keller, Thomas A. Runkler

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2012

Extracting magnetic anomalies based on an improved BEMD method: A case study in the Pangxidong Area, South China.

Weisheng Hou, Zhijun Yang, Yongzhang Zhou, Liping Zhang, Wenlong Wu

Comput. Geosci., 2012