Publikationer av Tianze Wang
Refereegranskade
Artiklar
[1]
X. Du et al., "Efficient methods with polynomial complexity to determine the reversibility of general 1D linear cellular automata over Zp," Information Sciences, vol. 594, s. 163-176, 2022.
[2]
D. H. Hagos et al., "Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks," Remote Sensing, vol. 14, no. 8, 2022.
[3]
D. H. Hagos et al., "ExtremeEarth Meets Satellite Data From Space," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, s. 9038-9063, 2021.
Konferensbidrag
[4]
T. Wang, A. H. Payberah och V. Vlassov, "Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization," i 2023 International Conference on Machine Learning and Applications (ICMLA), 2023, s. 488-495.
[5]
S. Sheikholeslami et al., "The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks," i Distributed Applications and Interoperable Systems - 23rd IFIP WG 6.1 International Conference, DAIS 2023, Held as Part of the 18th International Federated Conference on Distributed Computing Techniques, DisCoTec 2023, Proceedings, 2023, s. 74-89.
[6]
T. Wang et al., "Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement," i Distributed Applications and Interoperable Systems (DAIS 2022), 2022, s. 114-130.
[7]
T. Wang, A. H. Payberah och V. Vlassov, "Node Context Selection in Transformer-Based Graph Representation Learning Models," i Proceedings : 2022 IEEE International Conference on Big Data, Big Data 2022, 2022, s. 4625-4634.
[8]
S. Sheikholeslami et al., "AutoAblation: Automated Parallel Ablation Studies for Deep Learning," i EuroMLSys '21: Proceedings of the 1st Workshop on Machine Learning and Systems, 2021, s. 55-61.
[9]
T. Wang, A. H. Payberah och V. Vlassov, "CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems," i 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, s. 1483-1490.
[10]
F. Lorenzo et al., "Use All Your Skills, Not Only The Most Popular Ones," i 2020 IEEE Conference on Games, CoG 2020, 2020, s. 682-685.
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2024-04-24 00:29:20