Network Performance Optimization with Real Time Traffic Prediction in Data Center Network
 Yan, F Liu, S Calabretta, N 2020 European Conference on Optical Communications (ECOC) 1-4 (Dec 2020)
Topological Insights into Sparse Neural Networks
 Liu, S Van der Lee, T Yaman, A Atashgahi, Z Ferraro, D Sokar, G Pechenizkiy, M Mocanu, D 279-294 (25 Feb 2021)
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
 Liu, S Chen, T Chen, X Atashgahi, Z Yin, L Kou, H Shen, L Pechenizkiy, M Wang, Z Mocanu, D Advances in Neural Information Processing Systems volume 12 9908-9922 (01 Jan 2021)
DEEP ENSEMBLING WITH NO OVERHEAD FOR EITHER TRAINING OR TESTING: THE ALL-ROUND BLESSINGS OF DYNAMIC SPARSITY
 Liu, S Chen, T Atashgahi, Z Chen, X Sokar, G Mocanu, E Pechenizkiy, M Wang, Z Mocanu, D ICLR 2022 - 10th International Conference on Learning Representations (01 Jan 2022)
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training
 Yin, L Menkovski, V Fang, M Huang, T Pei, Y Pechenizkiy, M Mocanu, D Liu, S Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022 2267-2277 (01 Jan 2022)
A brain-inspired algorithm for training highly sparse neural networks
 Atashgahi, Z Pieterse, J Liu, S Mocanu, D Veldhuis, R Pechenizkiy, M Machine Learning volume 111 issue 12 4411-4452 (08 Dec 2022)
Hierarchical Semantic Segmentation using Psychometric Learning
 Yin, L Menkovski, V Liu, S Pechenizkiy, M Proceedings of Machine Learning Research volume 157 798-813 (01 Jan 2021)
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
 Liu, S Yin, L Mocanu, D Pechenizkiy, M Proceedings of Machine Learning Research volume 139 6989-7000 (01 Jan 2021)
Selfish Sparse RNN Training
 Liu, S Mocanu, D Pei, Y Pechenizkiy, M Proceedings of Machine Learning Research volume 139 6893-6904 (01 Jan 2021)
THE UNREASONABLE EFFECTIVENESS OF RANDOM PRUNING: RETURN OF THE MOST NAIVE BASELINE FOR SPARSE TRAINING
 Liu, S Chen, T Chen, X Shen, L Mocanu, D Wang, Z Pechenizkiy, M ICLR 2022 - 10th International Conference on Learning Representations (01 Jan 2022)
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