Wenlong Wu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Feature Matching

Early Detection

Possibilistic Clustering

Top Venues

IEEE J. Sel. Areas Commun.

Publications

Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang
MatchDet: A Collaborative Framework for Image Matching and Object Detection. AAAI (2024)
Yuezhi Yang, Qian Yang, Zhihao Su, Wenlong Wu
Employee Fingerprint Identification Management System Based on Bidirectional ResNext Network with Triplet Loss. ICMSS (2024)
Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. AAAI (2023)
Wenlong Wu, Ying Tan
MelicientNet: Harnessing Mel-Spectrograms and EfficientNet Architectures for Predicting Neurological Recovery Post-Cardiac Arrest. CinC (2023)
Jiaqi Wu, Yi Liu, Yidan Xu, Yalei Zang, Wenlong Wu, Wei Zhou, Shidong Xu, Bohan Li
Time-Aware Preference Recommendation Based on Behavior Sequence. APWeb/WAIM (4) (2023)
Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang
Clustered-patch Element Connection for Few-shot Learning. IJCAI (2023)
Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu, Kari R. Lane, Marilyn Rantz
Semantic Annotation of Sensor Data Using a Sequential Possibilistic Clustering Methodology. FUZZ (2023)
Qian Yang, Wenlong Wu, Yuezhi Yang, Wenchen Wu, Zhihao Su
The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack. ICDLT (2023)
Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. CoRR (2023)
Bohan Li, Xinyang Song, Tianlun Dai, Wenlong Wu, Di Zhu, Xiangping Bryce Zhai, Hao Wen, Qinyong Lin, Huazhou Chen, Ken Cai
Trust Management Strategy for Digital Twins in Vehicular Ad Hoc Networks. IEEE J. Sel. Areas Commun. 41 (10) (2023)
Dihe Huang, Ying Chen, Yong Liu, Jianlin Liu, Shang Xu, Wenlong Wu, Yikang Ding, Fan Tang, Chengjie Wang
Adaptive Assignment for Geometry Aware Local Feature Matching. CVPR (2023)
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
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR (2023)
Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang
Clustered-patch Element Connection for Few-shot Learning. CoRR (2023)
Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang
MatchDet: A Collaborative Framework for Image Matching and Object Detection. CoRR (2023)
Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
tSF: Transformer-based Semantic Filter for Few-Shot Learning. CoRR (2022)
Wenlong Wu, James M. Keller, Jeffrey Dale, James C. Bezdek
StreamSoNG: A Soft Streaming Classification Approach. IEEE Trans. Emerg. Top. Comput. Intell. 6 (3) (2022)
Dihe Huang, Ying Chen, Shang Xu, Yong Liu, Wenlong Wu, Yikang Ding, Chengjie Wang, Fan Tang
Adaptive Assignment for Geometry Aware Local Feature Matching. CoRR (2022)
Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
tSF: Transformer-Based Semantic Filter for Few-Shot Learning. ECCV (20) (2022)
Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. CoRR (2022)
Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. ACM Multimedia (2022)
Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu
Explainable AI for Early Detection of Health Changes Via Streaming Clustering. FUZZ-IEEE (2022)
Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu, Kari R. Lane
Early Detection of Health Changes in the Elderly Using In-Home Multi-Sensor Data Streams. ACM Trans. Comput. Heal. 2 (3) (2021)
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
Possibilistic Clustering Enabled Neuro Fuzzy Logic. FUZZ-IEEE (2020)
Wenlong Wu, James M. Keller, Jeffrey Dale, James C. Bezdek
StreamSoNG: A Soft Streaming Classification Approach. CoRR (2020)
Yibin Guan, Wenlong Wu, Jianhua Chen, Xiaochun Xu, Kanglin Cai, Wenhui Yuan
A Reactive Power Reserve Prediction Method for EV Charging Piles Based on Big Data and Optimized Neural Network. ICBDS (2020)
Wenlong Wu, James M. Keller
Sequential Possibilistic Local Information One-Means Clustering For Image Segmentation. FUZZ-IEEE (2020)
Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu
Data Stream Trajectory Analysis Using Sequential Possibilistic Gaussian Mixture Model. FUZZ-IEEE (2019)
Wenlong Wu, James M. Keller, Thomas A. Runkler
Sequential Possibilistic One-Means Clustering with Dynamic Eta. FUZZ-IEEE (2018)
Weisheng Hou, Zhijun Yang, Yongzhang Zhou, Liping Zhang, Wenlong Wu
Extracting magnetic anomalies based on an improved BEMD method: A case study in the Pangxidong Area, South China. Comput. Geosci. 48 (2012)