| Android malware detection based on factorization machine C Li, K Mills, D Niu, R Zhu, H Zhang, H Kinawi IEEE Access 7, 184008-184019, 2019 | 87 | 2019 |
| Generative Adversarial Neural Architecture Search SSC Rezaei, FX Han, D Niu, M Salameh, K Mills, S Lian, W Lu, S Jui Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 12 | 2021 |
| Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search KG Mills, FX Han, J Zhang, SS Changiz Rezaei, F Chudak, W Lu, S Lian, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 9 | 2021 |
| R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning S Lu, B Liu, KG Mills, S JUI, D Niu International Conference on Learning Representations, 2021 | 8 | 2021 |
| L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning KG Mills, FX Han, M Salameh, SS Changiz Rezaei, L Kong, W Lu, S Lian, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 7 | 2021 |
| Exploring Neural Architecture Search Space via Deep Deterministic Sampling KG Mills, M Salameh, D Niu, FX Han, SSC Rezaei, H Yao, W Lu, S Lian, ... IEEE Access 9, 110962-110974, 2021 | 7 | 2021 |
| AIO-P: Expanding Neural Performance Predictors Beyond Image Classification KG Mills, D Niu, M Salameh, W Qiu, FX Han, P Liu, J Zhang, W Lu, S Jui In Proceedings of the Thirty-Seventh AAAI Conference on Artificial …, 2022 | 6 | 2022 |
| GENNAPE: Towards Generalized Neural Architecture Performance Estimators KG Mills, FX Han, J Zhang, F Chudak, AS Mamaghani, M Salameh, W Lu, ... In Proceedings of the Thirty-Seventh AAAI Conference on Artificial …, 2022 | 5 | 2022 |
| GOAt: Explaining Graph Neural Networks via Graph Output Attribution S Lu, KG Mills, J He, B Liu, D Niu arXiv preprint arXiv:2401.14578, 2024 | 4 | 2024 |
| AutoGO: Automated Computation Graph Optimization for Neural Network Evolution M Salameh, KG Mills, N Hassanpour, FX Han, S Zhang, W Lu, S Jui, ... Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 1 | 2023 |
| A General-Purpose Transferable Predictor for Neural Architecture Search FX Han, KG Mills, F Chudak, P Riahi, M Salameh, J Zhang, W Lu, S Jui, ... Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time S Lu, B Liu, KG Mills, J He, D Niu arXiv preprint arXiv:2405.01762, 2024 | | 2024 |
| Building Optimal Neural Architectures using Interpretable Knowledge KG Mills, FX Han, M Salameh, S Lu, C Zhou, J He, F Sun, D Niu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| METHOD OF NEURAL ARCHITECTURE SEARCH USING CONTINUOUS ACTION REINFORCEMENT LEARNING M Salameh, KG Mills, D Niu US Patent App. 17/488,796, 2023 | | 2023 |
| On the Application of Continuous Deterministic Reinforcement Learning in Neural Architecture Search KG Mills MSc. Thesis, Department of Electrical and Computer Engineering, University …, 2021 | | 2021 |
Di NiuProfessor, University of Alberta在 ualberta.ca 的电子邮件经过验证
