Artikkelit, joihin on yleisen käytön mandaatti - Yi ChangLisätietoja
Ei saatavilla missään: 16
A triple-step asynchronous federated learning mechanism for client activation, interaction optimization, and aggregation enhancement
L You, S Liu, Y Chang, C Yuen
IEEE Internet of Things Journal 9 (23), 24199-24211, 2022
Mandaatit: National Natural Science Foundation of China
Are topics interesting or not? An LDA-based topic-graph probabilistic model for web search personalization
J Zhao, JX Huang, H Deng, Y Chang, L Xia
ACM Transactions on Information Systems (TOIS) 40 (3), 1-24, 2021
Mandaatit: Natural Sciences and Engineering Research Council of Canada
Hyperspectral image denoising via weighted multidirectional low-rank tensor recovery
Y Su, H Zhu, KC Wong, Y Chang, X Li
IEEE Transactions on Cybernetics 53 (5), 2753-2766, 2022
Mandaatit: National Natural Science Foundation of China
Bringing order to episodes: Mining timeline in social media
S Wang, Z Yang, Y Chang
Neurocomputing 450, 80-90, 2021
Mandaatit: National Natural Science Foundation of China
Sample efficient offline-to-online reinforcement learning
S Guo, L Zou, H Chen, B Qu, H Chi, SY Philip, Y Chang
IEEE Transactions on Knowledge and Data Engineering, 2023
Mandaatit: National Natural Science Foundation of China
AdaNS: Adaptive negative sampling for unsupervised graph representation learning
Y Wang, L Hu, W Gao, X Cao, Y Chang
Pattern Recognition 136, 109266, 2023
Mandaatit: National Natural Science Foundation of China
Blind men and the elephant: Thurstonian pairwise preference for ranking in crowdsourcing
X Wang, J Wang, L Jie, C Zhai, Y Chang
2016 IEEE 16th international conference on data mining (ICDM), 509-518, 2016
Mandaatit: US National Science Foundation
GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis
Y Shan, J Yang, X Li, X Zhong, Y Chang
Information Sciences 621, 88-103, 2023
Mandaatit: National Natural Science Foundation of China
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning
S Huang, B Yang, H Chen, H Piao, Z Sun, Y Chang
International Conference on Knowledge Science, Engineering and Management, 3-14, 2020
Mandaatit: National Natural Science Foundation of China
A two-level noise-tolerant model for relation extraction with reinforcement learning
E Yu, Y Jia, Y Tian, Y Chang
2020 IEEE International Conference on Knowledge Graph (ICKG), 367-373, 2020
Mandaatit: National Natural Science Foundation of China
Schemaless Join for Result Set Preferences
C Gao, J Pei, J Wang, Y Chang
2017 IEEE International Conference on Information Reuse and Integration (IRI …, 2017
Mandaatit: Natural Sciences and Engineering Research Council of Canada
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement
Y Wang, L Hu, X Cao, Y Chang, IW Tsang
IEEE Transactions on Knowledge and Data Engineering, 2023
Mandaatit: National Natural Science Foundation of China
Eliminating Negative Word Similarities for Measuring Document Distances: A Thoroughly Empirical Study on Word Mover’s Distance
B Cheng, X Li, Y Chang
IEEE Transactions on Neural Networks and Learning Systems, 2022
Mandaatit: National Natural Science Foundation of China
Context and type enhanced representation learning for relation extraction
E Yu, Y Jia, S Wang, F Li, Y Chang
2020 IEEE International Conference on Knowledge Graph (ICKG), 329-335, 2020
Mandaatit: National Natural Science Foundation of China
Multi-Classification of Cancer Samples Based on Co-Expression Analyses
H Jiang, Q Huang, L Chen, Z Li, Y Xu, H Sun, Y Chang
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
Mandaatit: National Natural Science Foundation of China
Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification
X Ma, X Wei, Y Gao, R Feng, D Yin, Y Chang
International Conference on Knowledge Science, Engineering and Management, 3-15, 2023
Mandaatit: National Natural Science Foundation of China
Saatavilla jossain: 66
Graphlime: Local interpretable model explanations for graph neural networks
Q Huang, M Yamada, Y Tian, D Singh, Y Chang
IEEE Transactions on Knowledge and Data Engineering 35 (7), 6968-6972, 2022
Mandaatit: National Natural Science Foundation of China
Attributed network embedding for learning in a dynamic environment
J Li, H Dani, X Hu, J Tang, Y Chang, H Liu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Mandaatit: US National Science Foundation, US Department of Defense
Signed network embedding in social media
S Wang, J Tang, C Aggarwal, Y Chang, H Liu
Proceedings of the 2017 SIAM international conference on data mining, 327-335, 2017
Mandaatit: US National Science Foundation, US Department of Defense
Structure-augmented text representation learning for efficient knowledge graph completion
B Wang, T Shen, G Long, T Zhou, Y Wang, Y Chang
Proceedings of the Web Conference 2021, 1737-1748, 2021
Mandaatit: National Natural Science Foundation of China
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