| Multi-task zipping via layer-wise neuron sharing X He, Z Zhou, L Thiele Advances in Neural Information Processing Systems 31, 2018 | 61 | 2018 |
| Ict: In-field calibration transfer for air quality sensor deployments Y Cheng, X He, Z Zhou, L Thiele Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 35 | 2019 |
| Rethinking pruning for accelerating deep inference at the edge D Gao, X He, Z Zhou, Y Tong, K Xu, L Thiele Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 24 | 2020 |
| The empathetic car: Exploring emotion inference via driver behaviour and traffic context S Liu, K Koch, Z Zhou, S Föll, X He, T Menke, E Fleisch, F Wortmann Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 22 | 2021 |
| Frequency scaling as a security threat on multicore systems P Miedl, X He, M Meyer, DB Bartolini, L Thiele IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 15 | 2018 |
| Pruning-Aware Merging for Efficient Multitask Inference X He, D Gao, Z Zhou, Y Tong, L Thiele Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 11* | 2021 |
| MapTransfer: Urban air quality map generation for downscaled sensor deployments Y Cheng, X He, Z Zhou, L Thiele 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design …, 2020 | 11 | 2020 |
| Toward nonintrusive camera-based heart rate variability estimation in the car under naturalistic condition S Liu, K Koch, Z Zhou, M Maritsch, X He, E Fleisch, F Wortmann IEEE Internet of Things Journal 9 (14), 11699-11711, 2021 | 9 | 2021 |
| Pruning meta-trained networks for on-device adaptation D Gao, X He, Z Zhou, Y Tong, L Thiele Proceedings of the 30th ACM International Conference on Information …, 2021 | 9 | 2021 |
| On-device deep multi-task inference via multi-task zipping X He, X Wang, Z Zhou, J Wu, Z Yang, L Thiele IEEE Transactions on Mobile Computing 22 (5), 2878-2891, 2021 | 8 | 2021 |
| Combating distribution shift for accurate time series forecasting via hypernetworks W Duan, X He, L Zhou, L Thiele, H Rao 2022 IEEE 28th International Conference on Parallel and Distributed Systems …, 2023 | 7 | 2023 |
| Injecting descriptive meta-information into pre-trained language models with hypernetworks W Duan, X He, Z Zhou, H Rao, L Thiele | 6 | 2021 |
| Mimonet: Multi-input multi-output on-device deep learning Z Li, X He, Y Li, S Nikkhoo, W Yang, L Thiele, C Liu arXiv preprint arXiv:2307.11962, 2023 | 5 | 2023 |
| Localised Adaptive Spatial-Temporal Graph Neural Network W Duan, X He, Z Zhou, L Thiele, H Rao Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| Red: A systematic real-time scheduling approach for robotic environmental dynamics Z Li, T Ren, X He, C Liu 2023 IEEE Real-Time Systems Symposium (RTSS), 210-223, 2023 | 2 | 2023 |
| Minimalist Traffic Prediction: Linear Layer Is All You Need W Duan, H Rao, W Huang, X He arXiv preprint arXiv:2308.10276, 2023 | 1 | 2023 |
| Hyper attention recurrent neural network: Tackling temporal covariate shift in time series analysis W Duan, X He, L Zhou, Z Zhou, L Thiele, H Rao arXiv preprint arXiv:2202.10808, 2022 | 1 | 2022 |
| Multi-task zipping via layerwise neuron sharing.(2018) X HE, Z ZHOU, L THIELE Proceedings of the 32nd Annual Conference on Advances in Neural Information …, 2018 | 1 | 2018 |
| An electron/ion pathway reconstruction strategy enabling fast aqueous Zn2+ storage Y Wang, H Yang, D Cai, Y Tan, L Li, Y Zhang, X He, X Shu, W Han, ... Materials Today Energy 39, 101474, 2024 | | 2024 |
| Subspace-Configurable Networks O Saukh, D Wang, X He, L Thiele | | 2023 |
Lothar ThieleProfessor of Computer Engineering, ETH ZurichVerified email at ethz.ch
