Rui Hou - RankMe

18 papers A* 2A 1B 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
2023	—	`conf`	Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
2023	—	`conf`	Query Rewriting for Effective Misinformation Discovery. IJCNLP (1) Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea
2022	J	`jnl`	Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery. CoRR Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Davis Liang, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea
2022	J	`jnl`	Automated Human Use Mapping of Social Infrastructure by Deep Learning Methods Applied to Smart City Camera Systems. J. Comput. Civ. Eng. Peng Sun, Gabriel T. S. Draughon, Rui Hou, Jerome P. Lynch
2020	A	`conf`	Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront. WACV Peng Sun, Rui Hou, Jerome P. Lynch
2020	J	`jnl`	Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront. CoRR Peng Sun, Rui Hou, Jerome P. Lynch
2020	A*	`conf`	Real-Time Panoptic Segmentation From Dense Detections. CVPR Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
2020	A*	`conf`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2020	J	`jnl`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2019	—	`conf`	A Computer Vision Framework for Human User Sensing in Public Open Spaces. DFHS@BuildSys Peng Sun, Rui Hou, Jerome P. Lynch
2019	J	`jnl`	Real-Time Panoptic Segmentation from Dense Detections. CoRR Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
2019	J	`jnl`	Sensor data reconstruction using bidirectional recurrent neural network with application to bridge monitoring. Adv. Eng. Informatics Seongwoon Jeong, Max Ferguson, Rui Hou, Jerome P. Lynch, Hoon Sohn, Kincho H. Law
2019	B	`conf`	Towards Automatic Detection of Misinformation in Online Medical Videos. ICMI Rui Hou, Verónica Pérez-Rosas, Stacy L. Loeb, Rada Mihalcea
2019	J	`jnl`	Towards Automatic Detection of Misinformation in Online Medical Videos. CoRR Rui Hou, Verónica Pérez-Rosas, Stacy L. Loeb, Rada Mihalcea
2017	J	`jnl`	An information modeling framework for bridge monitoring. Adv. Eng. Softw. Seongwoon Jeong, Rui Hou, Jerome P. Lynch, Hoon Sohn, Kincho H. Law