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Publication search results
found 15 matches
- 2024
- Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu:
Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract). ICDE 2024: 5747-5748 - Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen:
TSI-Bench: Benchmarking Time Series Imputation. CoRR abs/2406.12747 (2024) - 2023
- Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu:
Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. IEEE Trans. Knowl. Data Eng. 35(4): 4178-4189 (2023) - Kaize Lin, Zihe Jia, Peiqi Li, Tianyu Shi, Alaa Khamis:
Cooperative Variable Speed Limit Control using Multi-agent Reinforcement Learning and Evolution Strategy for Improved Throughput in Mixed Traffic. SM 2023: 27-32 - 2022
- Jonathan Vinicius Kaizer, Rodrigo Clemente Thom de Souza, Linnyer Beatrys Ruiz Aylon:
Quantitative Models for Forecasting Demand for Perishable Products: A Systematic Review. IBERAMIA 2022: 393-404 - Jimena Ferreira, Ernesto Dufrechou, Martín Pedemonte:
Kaizen Programming for predicting numerical linear algebra operations performance. LA-CCI 2022: 1-6 - Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG 2022: 4 - Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. CoRR abs/2212.05606 (2022) - 2021
- Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, Zhendong Niu:
Improving University Faculty Evaluations via multi-view Knowledge Graph. Future Gener. Comput. Syst. 117: 181-192 (2021) - Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu:
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. Knowl. Based Syst. 215: 106744 (2021) - 2020
- Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng:
Graph Few-shot Learning with Attribute Matching. CIKM 2020: 1545-1554 - 2018
- Violetta Giada Cannas, Margherita Pero, Rossella Pozzi, Tommaso Rossi:
Complexity reduction and kaizen events to balance manual assembly lines: an application in the field. Int. J. Prod. Res. 56(11): 3914-3931 (2018) - 2016
- Léo Françoso Dal Piccol Sotto, Regina Célia Coelho, Vinícius Veloso de Melo:
Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming. GECCO 2016: 813-820 - Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module Acquisition. GECCO (Companion) 2016: 113-114 - 2007
- Mari Inoki, Yoshiaki Fukazawa:
Software product line evolution method based on kaizen approach. SAC 2007: 1207-1214
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