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Wenlong Wu
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2020 – today
- 2024
- [c18]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: 2858-2865 - [c17]Zekun Xu, Wenlong Wu, Zhanzuo Yin, Xinzhe Zhao, Junnan Zhuo, Bohan Li:
BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation. APWeb/WAIM (5) 2024: 492-503 - [c16]Yuezhi Yang, Qian Yang, Zhihao Su, Wenlong Wu:
Employee Fingerprint Identification Management System Based on Bidirectional ResNext Network with Triplet Loss. ICMSS 2024: 48-52 - 2023
- [j4]Bohan Li, Xinyang Song, Tianlun Dai, Wenlong Wu, Di Zhu, Xiangping 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): 3279-3292 (2023) - [c15]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: 8430-8437 - [c14]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: 171-185 - [c13]Wenlong Wu, Ying Tan:
MelicientNet: Harnessing Mel-Spectrograms and EfficientNet Architectures for Predicting Neurological Recovery Post-Cardiac Arrest. CinC 2023: 1-4 - [c12]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: 5425-5434 - [c11]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: 1-6 - [c10]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: 21-26 - [c9]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: 991-998 - [i8]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 abs/2303.09281 (2023) - [i7]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 abs/2304.10093 (2023) - [i6]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 abs/2311.04007 (2023) - [i5]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 abs/2312.10983 (2023) - 2022
- [j3]Wenlong Wu, James M. Keller, Jeffrey Dale, James C. Bezdek:
StreamSoNG: A Soft Streaming Classification Approach. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 700-709 (2022) - [c8]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: 1-19 - [c7]Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu:
Explainable AI for Early Detection of Health Changes Via Streaming Clustering. FUZZ-IEEE 2022: 1-6 - [c6]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: 6318-6326 - [i4]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 abs/2207.08427 (2022) - [i3]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 abs/2211.00868 (2022) - [i2]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 abs/2211.12716 (2022) - 2021
- [j2]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): 22:1-22:23 (2021) - 2020
- [c5]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: 1-8 - [c4]Wenlong Wu, James M. Keller:
Sequential Possibilistic Local Information One-Means Clustering For Image Segmentation. FUZZ-IEEE 2020: 1-8 - [c3]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: 406-419 - [i1]Wenlong Wu, James M. Keller, Jeffrey Dale, James C. Bezdek:
StreamSoNG: A Soft Streaming Classification Approach. CoRR abs/2010.00635 (2020)
2010 – 2019
- 2019
- [c2]Wenlong Wu, James M. Keller, Marjorie Skubic, Mihail Popescu:
Data Stream Trajectory Analysis Using Sequential Possibilistic Gaussian Mixture Model. FUZZ-IEEE 2019: 1-7 - 2018
- [c1]Wenlong Wu, James M. Keller, Thomas A. Runkler:
Sequential Possibilistic One-Means Clustering with Dynamic Eta. FUZZ-IEEE 2018: 1-8 - 2012
- [j1]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: 1-8 (2012)
Coauthor Index
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last updated on 2024-10-17 20:34 CEST by the dblp team
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