Publications by Tianze Wang
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, pp. 163-176, 2022.
D. H. Hagos et al., "Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks," Remote Sensing, vol. 14, no. 8, 2022.
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, pp. 9038-9063, 2021.
S. Sheikholeslami et al., "The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks," in 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, pp. 74-89.
T. Wang et al., "Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement," in Distributed Applications and Interoperable Systems (DAIS 2022), 2022, pp. 114-130.
T. Wang, A. H. Payberah and V. Vlassov, "Node Context Selection in Transformer-Based Graph Representation Learning Models," in Proceedings : 2022 IEEE International Conference on Big Data, Big Data 2022, 2022, pp. 4625-4634.
S. Sheikholeslami et al., "AutoAblation: Automated Parallel Ablation Studies for Deep Learning," in EuroMLSys '21: Proceedings of the 1st Workshop on Machine Learning and Systems, 2021, pp. 55-61.
T. Wang, A. H. Payberah and V. Vlassov, "CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems," in 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, pp. 1483-1490.
F. Lorenzo et al., "Use All Your Skills, Not Only The Most Popular Ones," in 2020 IEEE Conference on Games, CoG 2020, 2020, pp. 682-685.
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