Dai Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
5
Active years
2023–2025
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DAC | KLiNQ: Knowledge Distillation-Assisted Lightweight Neural Network for Qubit Readout on FPGA. | Xiaorang Guo, Tigran Bunarjyan, Dai Liu, Benjamin Lienhard, Martin Schulz |
| 2024 | ECCV | Dataset Distillation by Automatic Training Trajectories. | Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz |
| 2024 | ICCD | Reinforcement Learning-Driven Co-Scheduling and Diverse Resource Assignments on NUMA Systems. | Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz |
| 2023 | CLUSTER | Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. | Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz |
| 2023 | IJCNN | Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. | Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois Knoll |