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2020 – today
- 2024
[i6]Deegan Atha, R. Michael Swan, Abhishek Cauligi, Anne Bettens, Edwin Goh, Dima Kogan, Larry H. Matthies, Masahiro Ono:
ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness. CoRR abs/2405.01673 (2024)- 2023
- [c8]Edwin Goh, Alice Yepremyan, Isaac Ronald Ward, Jinbo Wang, Brian Wilson:
Reconstruction of Sea Surface Temperature under Clouds using Masked Autoencoders. IGARSS 2023: 1076-1079 - [c7]Grace Vincent
, Kai Pak, Diego Martinez, Edwin Goh, Jinbo Wang, Brian Bue, Ben Holt, Brian Wilson:
Unsupervised SAR Images for Submesoscale Oceanic Eddy Detection. IGARSS 2023: 2065-2068 - 2022
- [j1]Thomas Claudet, Ryan Alimo, Edwin Goh, Mark D. Johnston, Ramtin Madani, Brian Wilson:
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. IEEE Access 10: 41330-41340 (2022) - [c6]Grace Vincent, Alice Yepremyan, Jingdao Chen, Edwin Goh:
Mixed-Domain Training Improves Multi-mission Terrain Segmentation. ECCV Workshops (1) 2022: 96-111 - [c5]Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh:
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images. ECCV Workshops (1) 2022: 170-185 - [c4]Brian Wilson, Edwin Goh, Alex Guillaume, Ryan Alimo, Thomas Claudet, Hamsa Shwetha Venkataram:
Automating Antenna Scheduling Problems Using Quantum Computing and Deep Reinforcement Learning. IGARSS 2022: 4915-4918 - [i5]Edwin Goh, Jingdao Chen, Brian Wilson:
Mars Terrain Segmentation with Less Labels. CoRR abs/2202.00791 (2022) - [i4]Grace Vincent, Alice Yepremyan, Jingdao Chen, Edwin Goh:
Mixed-domain Training Improves Multi-Mission Terrain Segmentation. CoRR abs/2209.13674 (2022) - [i3]Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh:
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images. CoRR abs/2210.09234 (2022) - 2021
- [i2]Edwin Goh, Hamsa Shwetha Venkataram, Mark Hoffmann, Mark D. Johnston, Brian Wilson:
Scheduling the NASA Deep Space Network with Deep Reinforcement Learning. CoRR abs/2102.05167 (2021) - [i1]Thomas Claudet, Ryan Alimo, Edwin Goh, Mark D. Johnston, Ramtin Madani, Brian Wilson:
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. CoRR abs/2111.11628 (2021) - 2020
- [c3]Rohit Chandra, K. R. Krishnanand, Hoan Thong, Edwin Goh, Sanjib Kumar Panda, Costas J. Spanos:
Demonstration of Transactive Control of Commercial Buildings as Energy Nodes. IECON 2020: 1968-1973 - [c2]Tim Allison, Wayne Burke, Valentino Constantinou, Edwin Goh, Chris Mattmann, Anastasija Mensikova, Philip Southam, Ryan Stonebraker, Virisha Timmaraju:
Research Report: Building a Wide Reach Corpus for Secure Parser Development. SP (Workshops) 2020: 318-326
2010 – 2019
- 2014
- [c1]Jin Guang Yu, King-Jet Tseng, Edwin Goh, Hoan Thong Nguyen:
System design for the building-integrated microgrid test-bed - A case study. IECON 2014: 5414-5418
Coauthor Index
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