1 code implementation • EMNLP 2020 • Yuan Zhuang, Tianyu Jiang, Ellen Riloff
First, we present a BERT-based model for affective event classification and show that the classifier achieves substantially better performance than a large affective event knowledge base.
1 code implementation • sdp (COLING) 2022 • Yuan Zhuang, Ellen Riloff, Kiri L. Wagstaff, Raymond Francis, Matthew P. Golombek, Leslie K. Tamppari
Relation extraction models typically cast the problem of determining whether there is a relation between a pair of entities as a single decision.
Ranked #1 on Relation Extraction on LPSC-hasproperty
no code implementations • 5 Sep 2023 • Mengyao Guo, Xiaolin Zhang, Yuan Zhuang, Jing Chen, Pengfei Wang, Ze Gao
This paper explores using generative AI and aesthetics to promote cultural creativity in rural China amidst COVID-19's impact.
no code implementations • 15 Jun 2023 • Jianzhu Huai, Yuan Zhuang, Yuxin Shao, Grzegorz Jozkow, Binliang Wang, Yijia He, Alper Yilmaz
These tests reveal the strengths and weaknesses of these camera models, as well as the repeatability of these GCC tools.
no code implementations • RA-L 2022 • Fuqiang Gu, Yong Lee, Yuan Zhuang, You Li, Jingbin Liu, Fangwen Yu, Ruiyuan Li, Chao Chen
Event-based sensors (e. g., DVS cameras) are capable of higher dynamic range, higher temporal resolution, lower time latency, and better power efficiency compared to conventional devices (e. g., RGB cameras).
no code implementations • 24 May 2022 • Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David Ciemiewicz, Sandeep Atluri, Yangfeng Ji, Kevin Small, Heba Elfardy
Recently, neural models have been leveraged to significantly improve the performance of information extraction from semi-structured websites.
1 code implementation • 16 Aug 2021 • Jianzhu Huai, Yuan Zhuang, Qicheng Yuan, Yukai Lin
To this end, we develop a calibration method for a RS-camera-IMU system with continuous-time B-splines by using a calibration target.
1 code implementation • 24 Jul 2021 • Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang
Then, we propose a novel temporal message propagation network to extract the graph feature from the normalized graph, and combine the graph feature with designed expert patterns to yield a final detection system.
no code implementations • 31 May 2021 • Liang Chen, Xiangchen Lu, Nan Shen, Lei Wang, Yuan Zhuang, Ye Su, Deren Li, Ruizhi Chen
The performance of those integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite.
1 code implementation • 21 Sep 2020 • Min Shi, David A. Wilson, Xingquan Zhu, Yu Huang, Yuan Zhuang, Jianxun Liu, Yufei Tang
In particular, Neural Architecture Search (NAS) has seen significant attention throughout the AutoML research community, and has pushed forward the state-of-the-art in a number of neural models to address grid-like data such as texts and images.
no code implementations • 13 Jul 2020 • You Li, Ruizhi Chen, Xiaoji Niu, Yuan Zhuang, Zhouzheng Gao, Xin Hu, Naser El-Sheimy
Recently, the emergence of chip-level inertial sensors has expanded the relevant applications from positioning, navigation, and mobile mapping to location-based services, unmanned systems, and transportation big data.
no code implementations • ACL 2020 • Yuan Zhuang, Ellen Riloff
Social media posts often contain questions, but many of the questions are rhetorical and do not seek information.
no code implementations • 9 Apr 2020 • You Li, Xin Hu, Yuan Zhuang, Zhouzheng Gao, Peng Zhang, Naser El-Sheimy
However, it is challenging to use low-cost IoT devices for robust unsupervised localization (i. e., localization without training data that have known location labels).
no code implementations • 7 Apr 2020 • You Li, Yuan Zhuang, Xin Hu, Zhouzheng Gao, Jia Hu, Long Chen, Zhe He, Ling Pei, Kejie Chen, Maosong Wang, Xiaoji Niu, Ruizhi Chen, John Thompson, Fadhel Ghannouchi, Naser El-Sheimy
Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges.
Networking and Internet Architecture Signal Processing