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Chang, Tieyuan
22  results:
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1

External-Attentive Statistics Pooling for Text-Independent ..:

, In: 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI),
Pan, Lidong ; He, Chunhao ; Chang, Tieyuan - p. 301-305 , 2023
Link: https://doi.org/10.1109/..
 
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2

Optimized Algorithm for Clustering Routing for Wireless Sen..:

Chang, Tieyuan ; Liu, Weina ; Zhang, Yan
Journal of Computer and Communications.  6 (2018)  11 - p. 1-11 , 2018
Link: https://doi.org/10.4236/..
 
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3

A Low Complexity NB-IoT Cell ID Detection Algorithm:

Tie-yuan CHANG ; Yong-qi LI ; Yi-ping YAN
http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2022.02.014&lang=zh.  , 2022
Link: https://doi.org/10.13756..
 
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4

Iterative heterogeneous graph learning for knowledge graph-..:

Liu, Tieyuan ; Shen, Hongjie ; Chang, Liang..
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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5

Transformer-based convolutional forgetting knowledge tracki..:

Liu, Tieyuan ; Zhang, Meng ; Zhu, Chuangying.
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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6

Predicting Student Performance in Online Learning Using a H..:

, In: IFIP Advances in Information and Communication Technology; Intelligent Information Processing XI,
Wang, Chang ; Chang, Liang ; Liu, Tieyuan - p. 508-521 , 2022
Link: https://doi.org/10.1007/..
 
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7

Delay-Sensitive Task Assignment for Spatial Crowdsourcing:

Li, Yunhui ; Chang, Liang ; Li, Long...
Security and Communication Networks.  2022 (2022)  - p. 1-10 , 2022
Link: https://doi.org/10.1155/..
 
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8

Augmenting Convolution Neural Networks by Utilizing Attenti..:

, In: IFIP Advances in Information and Communication Technology; Intelligent Information Processing XI,
Zhang, Meng ; Chang, Liang ; Liu, Tieyuan. - p. 80-86 , 2022
Link: https://doi.org/10.1007/..
 
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9

Predicting High-Risk Students Using Learning Behavior:

Liu, Tieyuan ; Wang, Chang ; Chang, Liang.
Mathematics.  10 (2022)  14 - p. 2483 , 2022
Link: https://doi.org/10.3390/..
 
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10

A review of deep learning-based recommender system in e-lea..:

Liu, Tieyuan ; Wu, Qiong ; Chang, Liang.
Artificial Intelligence Review.  55 (2022)  8 - p. 5953-5980 , 2022
Link: https://doi.org/10.1007/..
 
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11

Deep matrix factorization based on self-attention mechanism..:

Guo, Zongxin ; Liu, Tieyuan ; Chang, Liang.
Journal of Physics: Conference Series.  1651 (2020)  1 - p. 012019 , 2020
Link: https://doi.org/10.1088/..
 
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12

Convolutional Recurrent Neural Networks for Knowledge Traci..:

, In: 2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC),
Wang, Wei ; Liu, Tieyuan ; Chang, Liang.. - p. 287-290 , 2020
Link: https://doi.org/10.1109/..
 
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13

A New Mobility Model Based on Markov Chain for MANETs:

, In: Machine Learning for Cyber Security; Lecture Notes in Computer Science,
Liu, Tieyuan ; Gu, Tianlong ; Chang, Liang. - p. 203-214 , 2020
Link: https://doi.org/10.1007/..
 
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14

MOOCs Dropout Prediction Based on Hybrid Deep Neural Networ:

, In: 2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC),
Zhang, Yan ; Chang, Liang ; Liu, Tieyuan - p. 197-203 , 2020
Link: https://doi.org/10.1109/..
 
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15

Attentional Autoencoder for Course Recommendation in MOOC w..:

, In: 2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC),
Tan, Jindan ; Chang, Liang ; Liu, Tieyuan. - p. 190-196 , 2020
Link: https://doi.org/10.1109/..
 
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