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Rui Hou 0007
Person information
- affiliation: University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Rui Hou — disambiguation page
- Rui Hou 0001
— Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
- Rui Hou 0002
— Duke University, Durham, NC, USA
- Rui Hou 0003
— South-Central University for Nationalities, Wuhan, Hubei, China
- Rui Hou 0004 — North China Electric Power University, Beijing, China
- Rui Hou 0005
— Chengdu University of Technology, Chengdu, China
- Rui Hou 0006
— Guangdong University of Technology, Guangzhou, China
- Rui Hou 0008 — Niantic Labs, Sunnyvale, CA, USA (and 1 more)
- Rui Hou 0009
— Guangdong University of Technology, Guangzhou, Guangdong, China
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Journal Articles
- 2022
- [j3]Peng Sun
, Gabriel T. S. Draughon, Rui Hou
, Jerome P. Lynch:
Automated Human Use Mapping of Social Infrastructure by Deep Learning Methods Applied to Smart City Camera Systems. J. Comput. Civ. Eng. 36(4) (2022) - 2019
- [j2]Seongwoon Jeong, Max Ferguson, Rui Hou, Jerome P. Lynch, Hoon Sohn, Kincho H. Law:
Sensor data reconstruction using bidirectional recurrent neural network with application to bridge monitoring. Adv. Eng. Informatics 42 (2019) - 2017
- [j1]Seongwoon Jeong, Rui Hou, Jerome P. Lynch, Hoon Sohn
, Kincho H. Law:
An information modeling framework for bridge monitoring. Adv. Eng. Softw. 114: 11-31 (2017)
Conference and Workshop Papers
- 2023
- [c8]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) 2023: 11239-11246 - [c7]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) 2023: 7458-7467 - [c6]Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea:
Query Rewriting for Effective Misinformation Discovery. IJCNLP (1) 2023: 398-407 - 2020
- [c5]Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation From Dense Detections. CVPR 2020: 8520-8529 - [c4]Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon:
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR 2020 - [c3]Peng Sun, Rui Hou, Jerome P. Lynch:
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront. WACV 2020: 2217-2226 - 2019
- [c2]Rui Hou, Verónica Pérez-Rosas, Stacy L. Loeb, Rada Mihalcea:
Towards Automatic Detection of Misinformation in Online Medical Videos. ICMI 2019: 235-243 - [c1]Peng Sun, Rui Hou, Jerome P. Lynch:
A Computer Vision Framework for Human User Sensing in Public Open Spaces. DFHS@BuildSys 2019: 27-30
Informal and Other Publications
- 2023
- [i7]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR abs/2305.18239 (2023) - [i6]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR abs/2311.02849 (2023) - 2022
- [i5]Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Davis Liang, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea:
Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery. CoRR abs/2210.07467 (2022) - 2020
- [i4]Peng Sun, Rui Hou, Jerome P. Lynch:
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront. CoRR abs/2002.01461 (2020) - [i3]Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon:
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR abs/2002.12319 (2020) - 2019
- [i2]Rui Hou, Verónica Pérez-Rosas, Stacy L. Loeb, Rada Mihalcea:
Towards Automatic Detection of Misinformation in Online Medical Videos. CoRR abs/1909.01543 (2019) - [i1]Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation from Dense Detections. CoRR abs/1912.01202 (2019)
Coauthor Index
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