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2020 – today
- 2024
[j10]Pei Yan, Yu Zhou:
Application of Recommendation Algorithm Based on Matrix Dimensionality Reduction Model in Network Information Analysis Model. Informatica (Slovenia) 48(9) (2024)- [j9]Shengzhou Xiong
, Yihua Tan, Guoyou Wang, Pei Yan, Xuanyu Xiang:
Learning feature relationships in CNN model via relational embedding convolution layer. Neural Networks 179: 106510 (2024) - [j8]Pei Yan, Shunquan Tan, Miaohui Wang, Jiwu Huang:
Enhanced Dynamic Analysis for Malware Detection With Gradient Attack. IEEE Signal Process. Lett. 31: 2825-2829 (2024) - [c11]Jiahao Nie, Yun Xing, Gongjie Zhang, Pei Yan, Aoran Xiao, Yap-Peng Tan, Alex C. Kot, Shijian Lu:
Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining. CVPR 2024: 3380-3390 - [c10]Longfei Yan, Pei Yan, Shengzhou Xiong, Xuanyu Xiang, Yihua Tan:
MonoCD: Monocular 3D Object Detection with Complementary Depths. CVPR 2024: 10248-10257 - [c9]Hong Chen, Pei Yan, Sihe Xiang, Yihua Tan:
Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration. CVPR 2024: 21698-21707 - [i6]Jiahao Nie, Yun Xing, Gongjie Zhang, Pei Yan, Aoran Xiao, Yap-Peng Tan, Alex C. Kot, Shijian Lu:
Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining. CoRR abs/2401.08407 (2024) - [i5]Longfei Yan, Pei Yan, Shengzhou Xiong, Xuanyu Xiang, Yihua Tan:
MonoCD: Monocular 3D Object Detection with Complementary Depths. CoRR abs/2404.03181 (2024) - 2023
- [i4]Weidong Yan, Pei Yan, Li Cao:
Unsupervised convolutional neural network fusion approach for change detection in remote sensing images. CoRR abs/2311.03679 (2023) - [i3]Pei Yan, Shunquan Tan, Miaohui Wang, Jiwu Huang:
Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4. CoRR abs/2312.08317 (2023) - 2022
- [j7]Pei Yan, Yihua Tan, Yuan Tai:
Repeatable adaptive keypoint detection via self-supervised learning. Sci. China Inf. Sci. 65(11) (2022) - [j6]Minghui Cheng, Li Jiao, Pei Yan, Huiqing Gu, Jie Sun, Tianyang Qiu, Xibin Wang:
A Novel Multi-Task Learning Model with PSAE Network for Simultaneous Estimation of Surface Quality and Tool Wear in Milling of Nickel-Based Superalloy Haynes 230. Sensors 22(13): 4943 (2022) - [c8]Pei Yan, Yihua Tan, Shengzhou Xiong, Yuan Tai, Yansheng Li:
Learning Soft Estimator of Keypoint Scale and Orientation with Probabilistic Covariant Loss. CVPR 2022: 19384-19393 - 2021
- [j5]Pei Yan, Yihua Tan, Yuan Tai, Dongrui Wu, Hanbin Luo, Xiaolong Hao:
Unsupervised learning framework for interest point detection and description via properties optimization. Pattern Recognit. 112: 107808 (2021) - [j4]Shengzhou Xiong, Yihua Tan, Yansheng Li, Cai Wen, Pei Yan:
Subtask Attention Based Object Detection in Remote Sensing Images. Remote. Sens. 13(10): 1925 (2021) - [c7]Yihang Du, Ke Niu, Pei Yan, Gnativ Marina Petrovna, Lijun Wang:
Multi-scale Evaluation of HCI Acoustic Expression in Digital Performance Space. AHFE (17) 2021: 869-879 - [c6]Lvchen Feng, Wenxiang Zhao, Zhibo Zhang, Pei Yan, Minghui Cheng, Li Jiao, Tianyang Qiu:
Effect of Postures and Cutting Process on Robot Milling Performance and Surface Quality. ICIRA (2) 2021: 639-647 - [c5]Md Omar Faruk Rokon, Pei Yan, Risul Islam, Michalis Faloutsos:
Repo2Vec: A Comprehensive Embedding Approach for Determining Repository Similarity. ICSME 2021: 355-365 - [p1]Yihua Tan, Shengzhou Xiong, Pei Yan:
Accurate Detection of Built-Up Areas in Remote Sensing Image via Deep Learning. Generalization with Deep Learning 2021: 175-207 - [i2]Md Omar Faruk Rokon, Pei Yan, Risul Islam, Michalis Faloutsos:
Repo2Vec: A Comprehensive Embedding Approach for Determining Repository Similarity. CoRR abs/2107.05112 (2021) - 2020
- [j3]Yihua Tan, Shengzhou Xiong, Pei Yan:
Multi-branch convolutional neural network for built-up area extraction from remote sensing image. Neurocomputing 396: 358-374 (2020)
2010 – 2019
- 2019
- [j2]Xin Zhang, Huihui Wang, Pei Yan, Yang Guo:
一种面向多维复杂网络的节点传播重要性算法 (Node Propagation Importance Algorithm for Multi-dimensional Complex Networks). 计算机科学 46(11A): 348-353 (2019) - [i1]Pei Yan, Yihua Tan, Yuan Xiao, Yuan Tai, Cai Wen:
Unsupervised Learning Framework of Interest Point Via Properties Optimization. CoRR abs/1907.11375 (2019) - 2018
- [j1]Hongjuan Wu, Yulu Liu, Pei Yan, Gang Fang, Jing Zhong:
A frequent itemset mining algorithm based on composite granular computing. J. Comput. Methods Sci. Eng. 18(1): 247-257 (2018) - [c4]Pei Yan, Yihua Tan:
Random Repeatable Network: Unsupervised Learning to Detect Interest Point. BIC-TA (2) 2018: 405-414 - 2017
- [c3]Haipeng Kong, Yuguang Wang, Pingyu Zhou, Ni Li, Guanghong Gong, Pei Yan:
The modeling and simulation of task assignment behavior in industrial organizations. ICNC-FSKD 2017: 228-233 - 2010
- [c2]Pei Yan, Jiao Guo:
Researching and Designing the Architecture of E-government Based on SOA. ICEE 2010: 512-515
2000 – 2009
- 2008
- [c1]Pei Yan, Song Jiang:
Spatial-Locality-Aware Virtual Storage Devices with Tangible QoS Expressions. NAS 2008: 263-270
Coauthor Index
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