Pu, Yanjun
120  results:
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1

GraphRARE: Reinforcement Learning Enhanced Graph Neural Net..:

, In: 2024 IEEE 40th International Conference on Data Engineering (ICDE),
Peng, Tianhao ; Wu, Wenjun ; Yuan, Haitao... - p. 2489-2502 , 2024
 
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2

ELAKT: Enhancing Locality for Attentive Knowledge Tracing:

Pu, Yanjun ; Liu, Fang ; Shi, Rongye...
ACM Transactions on Information Systems.  42 (2024)  4 - p. 1-27 , 2024
 
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3

An automatic model management system and its implementation..:

Chen, Ruibo ; Pu, Yanjun ; Shi, Bowen.
The Journal of Supercomputing.  79 (2023)  10 - p. 11410-11426 , 2023
 
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5

MicroEGRCL: An Edge-Attention-Based Graph Neural Network Ap..:

, In: Service-Oriented Computing; Lecture Notes in Computer Science,
Chen, Ruibo ; Ren, Jian ; Wang, Lingfeng... - p. 264-272 , 2022
 
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7

Comparison of the prognosis of four different treatment str..:

Tan, Ling ; Liu, Zi-lin ; Ran, Meng-ni...
World Journal of Emergency Surgery.  16 (2021)  1 - p. , 2021
 
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8

Parallelizing Automatic Temporal Cognitive Tool for Large-S..:

, In: Euro-Par 2020: Parallel Processing Workshops; Lecture Notes in Computer Science,
Jiang, Tianrui ; Wu, Wenjun ; Pu, Yanjun - p. 225-236 , 2021
 
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9

Learning to handle exceptions:

, In: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering,
Zhang, Jian ; Wang, Xu ; Zhang, Hongyu... - p. 29-41 , 2020
 
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10

Multi-indicators prediction in microservice using Granger c..:

, In: 2020 IEEE World Congress on Services (SERVICES),
Ji, Suozhao ; Wu, Wenjun ; Pu, Yanjun - p. 77-82 , 2020
 
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15

HELP-DKT: an interpretable cognitive model of how students ..:

Liang, Yu ; Peng, Tianhao ; Pu, Yanjun.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901655/.  , 2022
 
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