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Publication search results
found 36 matches
- 2024
- 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) - 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) - 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
- Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers:
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves. Sensors 23(1): 185 (2023) - 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 - 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 - 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 - 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 - 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) - S. C. Bee, Evangelos Papatheou, Marcus Haywood-Alexander, Robin S. Mills, Lawrence A. Bull, Keith Worden, Nikolaos Dervilis:
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets. CoRR abs/2303.04486 (2023) - Tina A. Dardeno, Robin S. Mills, Nikolaos Dervilis, Keith Worden, Lawrence A. Bull:
On the hierarchical Bayesian modelling of frequency response functions. CoRR abs/2307.06263 (2023) - 2022
- Daniel S. Brennan, Julian Gosliga, Paul Gardner, Robin S. Mills, Keith Worden:
On the application of population-based structural health monitoring in aerospace engineering. Frontiers Robotics AI 9 (2022) - Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu:
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR 2022 - Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden:
Modelling variability in vibration-based PBSHM via a generalised population form. CoRR abs/2203.07115 (2022) - 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) - 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) - 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
- 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) - 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 - 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 - 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 - Yusheng Bian, Koushik Ramachandran, Bo Peng, Brittany Hedrick, Scott Mills, Keith Donegan, Armand Rundquist, Ed Vail, Vaishnavi Karra, Firat Yasar, Monica Esopi, Benjamin Fasano, Asli Sahin, Thomas Houghton, Karen Nummy, Hanyi Ding, Takako Hirokawa, Kevin Dezfulian, Zhuo-Jie Wu, Daniel Fisher, Jim Pape, Jay Steffes, Louis Medina, Subharup Gupta Roy, Harry Cox, Bart Green, Jorge Lubguban, Won Suk Lee, Abdelsalam Aboketaf, Michal Rakowski, Kate McLean, Zoey Sowinski, Oh-Jung Kwon, Gabrielle Robert, Massimo Sorbara, Subramanian Krishnamurthy, Andy Stricker, Jae Kyu Cho, Ian Melville, Dave Riggs, Rod Augur, Norman Robson, Daniel Berger, Luke Lee, Vikas Gupta, Anthony Yu, Ken Giewont, Ted Letavic, John Pellerin:
Hybrid III-V laser integration on a monolithic silicon photonic platform. OFC 2021: 1-3 - Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers:
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves. CoRR abs/2101.01506 (2021) - 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) - 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) - 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) - 2019
- 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
- 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) - 2014
- Daniel Paluszczyszyn, Piotr Skworcow, Olivier C. L. Haas, Keith J. Burnham, John A. Mills:
Model Predictive Control for Real-Time Tumor Motion Compensation in Adaptive Radiotherapy. IEEE Trans. Control. Syst. Technol. 22(2): 635-651 (2014) - 2013
- Blair Lehman, Sidney K. D'Mello, Amber Chauncey Strain, Caitlin Mills, Melissa R. Gross, Allyson Dobbins, Patricia S. Wallace, Keith K. Millis, Arthur C. Graesser:
Inducing and Tracking Confusion with Contradictions during Complex Learning. Int. J. Artif. Intell. Educ. 22(1-2): 85-105 (2013)
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