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Rui An
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2020 – today
- 2024
- [j7]Ling Chen, Lianyue Zhang, Jinglei Tang, Chao Tang, Rui An, Ruizi Han, Yiyang Zhang:
GRMPose: GCN-based real-time dairy goat pose estimation. Comput. Electron. Agric. 218: 108662 (2024) - [j6]Huan Dai, Yupei Zhang, Yue Yun, Rui An, Wenxin Zhang, Xuequn Shang:
Adaptive meta-knowledge dictionary learning for incremental knowledge tracing. Eng. Appl. Artif. Intell. 132: 107969 (2024) - [j5]Huan Dai, Yue Yun, Yupei Zhang, Rui An, Wenxin Zhang, Xuequn Shang:
Self-paced contrastive learning for knowledge tracing. Neurocomputing 609: 128366 (2024) - [j4]Yue Yun, Huan Dai, Rui An, Yupei Zhang, Xuequn Shang:
Doubly constrained offline reinforcement learning for learning path recommendation. Knowl. Based Syst. 284: 111242 (2024) - [c7]Wenbo Liu, Tao Deng, Rui An, Fei Yan:
DARTS-CGW: Research on Differentiable Neural Architecture Search Algorithm Based on Coarse Gradient Weighting. PRCV (3) 2024: 31-44 - [i3]Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li:
A Survey of Mamba. CoRR abs/2408.01129 (2024) - 2023
- [j3]Zhaomin Tong, Yi Zhu, Ziyi Zhang, Rui An, Yaolin Liu, Meng Zheng:
Unravel the spatio-temporal patterns and their nonlinear relationship with correlates of dockless shared bikes near metro stations. Geo spatial Inf. Sci. 26(3): 577-598 (2023) - [j2]Yupei Zhang, Rui An, Shuhui Liu, Jiaqi Cui, Xuequn Shang:
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks. IEEE Trans. Big Data 9(1): 118-132 (2023) - [c6]Yupei Zhang, Rui An, Wenxin Zhang, Shuhui Liu, Xuequn Shang:
Deep Knowledge Tracing with Concept Trees. ADMA (2) 2023: 377-390 - 2022
- [c5]Yupei Zhang, Yunan Xu, Rui An, Yuxin Li, Shuhui Liu, Xuequn Shang:
Markov Guided Spatio-Temporal Networks for Brain Image Classification*. BIBM 2022: 2035-2041 - 2021
- [j1]Wanli Ji, Tingting Wang, Yanwen Xu, Rui An, Kun Liang, Xinhong Wang:
Identifying the active compounds and mechanism of action of Banxia Xiexin decoction for treating ethanol-induced chronic gastritis using network pharmacology combined with UPLC-LTQ-Orbitrap MS. Comput. Biol. Chem. 93: 107535 (2021) - [c4]Huan Dai, Yupei Zhang, Yue Yun, Rui An, Xuequn Shang:
VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space. IEEE BigData 2021: 1589-1594 - [c3]Yupei Zhang, Rui An, Jiaqi Cui, Xuequn Shang:
Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks. LAK 2021: 462-468 - [i2]Rasha U. Abbasi, Markus Ackermann, Jenni Adams, Juan Antonio Aguilar Sánchez, Markus Ahlers, Markus Ahrens, Cyril Martin Alispach, Antonio Augusto Alves Jr., Najia Moureen Amin, Rui An, Karen Andeen, Tyler Anderson, I. Ansseau, Gisela Anton, Carlos A. Argüelles, Spencer Axani, Xinhua Bai, Aswathi Balagopal V., Anastasia Maria Barbano, Steven W. Barwick, Benjamin Bastian, Vedant Basu, Volker Baum, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, Chiara Bellenghi, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, J. Bourbeau, Federica Bradascio, J. Braun, Stephanie Bron, Jannes Brostean-Kaiser, Alexander Burgman, Raffaela S. Busse, Michael A. Campana, Chujie Chen, Dmitry Chirkin, S. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, Janet Marie Conrad, Paul Coppin, Pablo Correa, Doug F. Cowen, R. Cross, Pranav Dave, Catherine De Clercq, James DeLaunay, Hans Dembinski, Kunal Deoskar, Sam De Ridder, Abhishek Desai, Paolo Desiati, Krijn D. de Vries, Gwenhaël de Wasseige, Meike de With, Tyce DeYoung, Sukeerthi Dharani, Alejandro Diaz, Juan Carlos Díaz-Vélez, Hrvoje Dujmovic, Matthew Dunkman, Michael A. DuVernois, Emily Dvorak, Thomas Ehrhardt, Philipp Eller, Ralph Engel, John Evans, Paul A. Evenson, S. Fahey, Ali R. Fazely, Sebastian Fiedlschuster, Aaron Fienberg, Kirill Filimonov, Chad Finley, Leander Fischer, Derek Fox, Anna Franckowiak, Elizabeth Friedman, Alexander Fritz, Philipp Fürst, Thomas K. Gaisser, Joseph S. Gallagher, Erik Ganster, Simone Garrappa:
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory. CoRR abs/2101.11589 (2021) - 2020
- [c2]Rui An, Xingtian Shi, Baohan Xu:
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series. ICDM 2020: 906-911 - [i1]Rui An, Xingtian Shi, Baohan Xu:
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series. CoRR abs/2012.01037 (2020)
2010 – 2019
- 2016
- [c1]Rui An, Hui Feng, Qin Liu, Li Li:
Three elliptic curve cryptography-based RFID authentication protocols for Internet of Things. BWCCA 2016: 857-878
Coauthor Index
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