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Keith G. Mills
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2020 – today
- 2024
- [c9]Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu:
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. ICLR 2024 - [i11]Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu:
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. CoRR abs/2401.14578 (2024) - [i10]Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu:
Building Optimal Neural Architectures using Interpretable Knowledge. CoRR abs/2403.13293 (2024) - [i9]Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu:
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. CoRR abs/2405.01762 (2024) - 2023
- [c8]Keith G. Mills
, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI 2023: 9180-9189 - [c7]Keith G. Mills
, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI 2023: 9190-9199 - [c6]Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu:
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS 2023 - [c5]Fred X. Han, Keith G. Mills
, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. SDM 2023: 721-729 - [i8]Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR abs/2302.10835 (2023) - 2022
- [c4]Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu:
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR 2022 - [i7]Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu:
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR abs/2205.06454 (2022) - [i6]Keith G. Mills
, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR abs/2211.17226 (2022) - [i5]Keith G. Mills
, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR abs/2211.17228 (2022) - 2021
- [j2]Keith G. Mills
, Mohammad Salameh
, Di Niu
, Fred X. Han
, Seyed Saeed Changiz Rezaei
, Hengshuai Yao
, Wei Lu
, Shuo Lian
, Shangling Jui
:
Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access 9: 110962-110974 (2021) - [c3]Keith G. Mills
, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM 2021: 1284-1293 - [c2]Keith G. Mills
, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CIKM 2021: 4026-4035 - [c1]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills
, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. IJCAI 2021: 2227-2234 - [i4]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills
, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. CoRR abs/2105.09356 (2021) - [i3]Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR abs/2109.12425 (2021) - [i2]Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CoRR abs/2109.12426 (2021)
2010 – 2019
- 2019
- [j1]Chenglin Li
, Keith G. Mills
, Di Niu
, Rui Zhu
, Hongwen Zhang
, Husam Kinawi
:
Android Malware Detection Based on Factorization Machine. IEEE Access 7: 184008-184019 (2019) - 2018
- [i1]Chenglin Li, Rui Zhu, Di Niu, Keith G. Mills, Hongwen Zhang, Husam Kinawi:
Android Malware Detection based on Factorization Machine. CoRR abs/1805.11843 (2018)
Coauthor Index
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last updated on 2024-08-08 20:17 CEST by the dblp team
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