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Xian Yeow Lee
Xian Yeow Lee
Hitachi America
Verified email at hal.hitachi.com - Homepage
Title
Cited by
Cited by
Year
Rapid and label-free detection of interferon gamma via an electrochemical aptasensor comprising a ternary surface monolayer on a gold interdigitated electrode array
S Ding, C Mosher, XY Lee, SR Das, AA Cargill, X Tang, B Chen, ...
Acs Sensors 2 (2), 210-217, 2017
872017
A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting
XY Lee, A Balu, D Stoecklein, B Ganapathysubramanian, S Sarkar
Journal of Mechanical Design 141 (11), 2019
682019
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents.
XY Lee, S Ghadai, KL Tan, C Hegde, S Sarkar
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 4577-4584, 2020
602020
Robustifying reinforcement learning agents via action space adversarial training
KL Tan, Y Esfandiari, XY Lee, S Sarkar
2020 American control conference (ACC), 3959-3964, 2020
54*2020
Multi-Level 3D CNN for Learning Multi-Scale Spatial Features
S Ghadai, XY Lee, B A, S Sarkar, K A
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
35*2019
Fast inverse design of microstructures via generative invariance networks
XY Lee, JR Waite, CH Yang, BSS Pokuri, A Joshi, A Balu, C Hegde, ...
Nature Computational Science 1 (3), 229-238, 2021
332021
Automated detection of part quality during two-photon lithography via deep learning
XY Lee, SK Saha, S Sarkar, B Giera
Additive Manufacturing 36, 101444, 2020
292020
Query-based targeted action-space adversarial policies on deep reinforcement learning agents
XY Lee, Y Esfandiari, KL Tan, S Sarkar
Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical …, 2021
272021
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning
XY Lee, A Balu, D Stoecklein, B Ganapathysubramanian, S Sarkar
Deep Reinforcement Learning Workshop, NeurIPS 2018, 2018
232018
A graph policy network approach for volt-var control in power distribution systems
XY Lee, S Sarkar, Y Wang
Applied Energy 323, 119530, 2022
162022
Powergym: A reinforcement learning environment for volt-var control in power distribution systems
TH Fan, XY Lee, Y Wang
Learning for Dynamics and Control Conference, 21-33, 2022
142022
An ensemble of convolution-based methods for fault detection using vibration signals
XY Lee, A Kumar, L Vidyaratne, AR Rao, A Farahat, C Gupta
2023 IEEE International Conference on Prognostics and Health Management …, 2023
82023
Two Photon lithography additive manufacturing: Video dataset of parameter sweep of light dosages, photo-curable resins, and structures
XY Lee, SK Saha, S Sarkar, B Giera
Data in Brief 32, 106119, 2020
62020
Learning to Cope with Adversarial Attacks
XY Lee, A Havens, G Chowdhary, S Sarkar
https://arxiv.org/abs/1906.12061, 2019
62019
Stochastic conservative contextual linear bandits
J Lin, XY Lee, T Jubery, S Moothedath, S Sarkar, ...
2022 IEEE 61st Conference on Decision and Control (CDC), 7321-7326, 2022
52022
Multi-fidelity machine learning models for structure–property mapping of organic electronics
CH Yang, BSS Pokuri, XY Lee, S Balakrishnan, C Hegde, S Sarkar, ...
Computational Materials Science 213, 111599, 2022
52022
MDPGT: Momentum-based Decentralized Policy Gradient Tracking
Z Jiang, XY Lee, SY Tan, KL Tan, A Balu, YM Lee, C Hegde, S Sarkar
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022
52022
Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models
S Ghadai, XY Lee, A Balu, S Sarkar, A Krishnamurthy
Computer Aided Geometric Design 91, 102038, 2021
52021
Distributed online non-convex optimization with composite regret
Z Jiang, A Balu, XY Lee, YM Lee, C Hegde, S Sarkar
2022 58th Annual Allerton Conference on Communication, Control, and …, 2022
42022
Differentiable Programming for Piecewise Polynomial Functions
M Cho, A Joshi, XY Lee, A Balu, A Krishnamurthy, ...
Learning Meets Combinatorial Algorithm Workshop, NeurIPS 2020, 2020
32020
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