no code implementations • 9 Mar 2023 • Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos
To resolve the first drawback, we propose a new testing dataset, RGQA, which combines AQs from an existing VQA dataset with around 29K human-annotated UQs.
no code implementations • 21 Sep 2022 • Sahand Sabour, Wen Zhang, Xiyao Xiao, Yuwei Zhang, Yinhe Zheng, Jiaxin Wen, Jialu Zhao, Minlie Huang
In this study, we analyze the effectiveness of Emohaa in reducing symptoms of mental distress.
no code implementations • 1 Jun 2022 • Peng Zhang, Yuwei Zhang, Nuo Xu
Faced with increasingly severe environmental problems, carbon trading markets and related financial activities aiming at limiting carbon dioxide emissions are booming.
1 code implementation • ACL 2022 • Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam
Existing approaches typically rely on a large amount of labeled utterances and employ pseudo-labeling methods for representation learning and clustering, which are label-intensive, inefficient, and inaccurate.
1 code implementation • NAACL 2022 • Haode Zhang, Haowen Liang, Yuwei Zhang, LiMing Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam
It is challenging to train a good intent classifier for a task-oriented dialogue system with only a few annotations.
no code implementations • Findings (EMNLP) 2021 • Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y. S. Lam
This paper investigates the effectiveness of pre-training for few-shot intent classification.
no code implementations • 31 May 2021 • Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy Ren, Jingwei Wei, Zhaoxiang Ye
Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health.
no code implementations • 17 May 2021 • Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui
To address this problem, we introduce the first Mobile AI challenge, where the target is to develop quantized deep learning-based camera scene classification solutions that can demonstrate a real-time performance on smartphones and IoT platforms.
1 code implementation • 6 May 2021 • Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre
Here, we present a single approach to both of these problems in the form of "KuraNet", a deep-learning-based system of coupled oscillators that can learn to synchronize across a distribution of disordered network conditions.
no code implementations • CVPR 2020 • Yuwei Zhang, Peng Zhang, Chun Yuan, Zhi Wang
We also find that texture features have an impelling effect on these tasks and that the pre-trained ImageNet model has good performance in extracting texture features.
1 code implementation • 18 Feb 2020 • Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurc, Joel H. Saltz
To address this, we developed an analysis pipeline that segments nuclei in whole slide tissue images from multiple cancer types with a quality control process.
no code implementations • 17 Apr 2019 • Yuwei Zhang, Xin Wu, Chenyang Gu, Yueqi Xie
This is a method report for the Kaggle data competition 'Predict future sales'.