| Enhancing energy-efficiency by solving the throughput bottleneck of lstm cells for embedded fpgas C Qian, T Ling, G Schiele Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 12 | 2022 |
| Energy efficient LSTM accelerators for embedded FPGAs through parameterised architecture design C Qian, T Ling, G Schiele International Conference on Architecture of Computing Systems, 3-17, 2023 | 5 | 2023 |
| Elasticai: Creating and deploying energy-efficient deep learning accelerator for pervasive computing C Qian, T Ling, G Schiele 2023 IEEE International Conference on Pervasive Computing and Communications …, 2023 | 4 | 2023 |
| FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization T Ling, J Hoever, C Qian, G Schiele 2024 IEEE International Conference on Pervasive Computing and Communications …, 2024 | 3 | 2024 |
| On-device soft sensors: Real-time fluid flow estimation from level sensor data T Ling, C Qian, G Schiele International Conference on Mobile and Ubiquitous Systems: Computing …, 2023 | 2 | 2023 |
| Exploring energy efficiency of LSTM accelerators: A parameterized architecture design for embedded FPGAs C Qian, T Ling, G Schiele Journal of Systems Architecture 152, 103181, 2024 | 1 | 2024 |
| A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs T Ling, C Qian, L Einhaus, G Schiele arXiv preprint arXiv:2310.02654, 2023 | 1 | 2023 |
| On-device ai: Quantization-aware training of transformers in time-series T Ling, G Schiele 2023 IEEE International Conference on Pervasive Computing and Communications …, 2023 | 1 | 2023 |
| Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation V Singh, T Ling, T Chiaburu, F Biessmann arXiv preprint arXiv:2408.11619, 2024 | | 2024 |
| An Automated Approach to Collecting and Labeling Time Series Data for Event Detection Using Elastic Node Hardware T Ling, I Mansour, C Qian, G Schiele arXiv preprint arXiv:2407.11042, 2024 | | 2024 |
| Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT T Ling, C Qian, G Schiele arXiv preprint arXiv:2407.11041, 2024 | | 2024 |
| Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation T Ling, C Qian, G Schiele arXiv preprint arXiv:2407.05102, 2024 | | 2024 |
| Idle is the New Sleep: Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity C Qian, C Cichiwskyj, T Ling, G Schiele International Conference on Architecture of Computing Systems, 161-176, 2024 | | 2024 |
Gregor SchieleProfessor of Computer Science (Embedded Systems), University Duisburg-Essen, Germany在 uni-due.de 的电子邮件经过验证
