no code implementations • 23 Jan 2023 • Kunlong Chen, Liu Yang, Yitian Chen, Kunjin Chen, Yidan Xu, Lujun Li
It is of great significance to estimate the performance of a given model architecture without training in the application of Neural Architecture Search (NAS) as it may take a lot of time to evaluate the performance of an architecture.
1 code implementation • 14 Aug 2021 • Yitian Chen, Kunlong Chen, Kunjin Chen, Lin Wang
From our perspective, the major challenge of this competition is how to extend the classical DQN framework to traffic signals control in real-world complex road network and traffic flow situation.
no code implementations • COLING 2020 • Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu
The ambiguous annotation criteria lead to divergence of Chinese Word Segmentation (CWS) datasets in various granularities.
no code implementations • EMNLP 2020 • Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
Numerical reasoning over texts, such as addition, subtraction, sorting and counting, is a challenging machine reading comprehension task, since it requires both natural language understanding and arithmetic computation.
Ranked #1 on
Question Answering
on DROP Test
1 code implementation • ACL 2020 • Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi
This paper proposes to incorporate phonological and visual similarity knowledge into language models for CSC via a specialized graph convolutional network (SpellGCN).
1 code implementation • 8 Sep 2019 • Weidi Xu, Xingyi Cheng, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang
To remedy this, we propose to augment the NSP task to a 3-class categorization task, which includes a category for previous sentence prediction (PSP).
no code implementations • 11 Mar 2019 • Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu
The ambiguous annotation criteria lead to divergence of Chinese Word Segmentation (CWS) datasets in various granularities.
no code implementations • 6 Jun 2018 • Kunjin Chen, Qin Wang, Ziyu He, Kunlong Chen, Jun Hu, Jinliang He
A convolutional sequence to sequence non-intrusive load monitoring model is proposed in this paper.
1 code implementation • 30 May 2018 • Kunjin Chen, Kunlong Chen, Qin Wang, Ziyu He, Jun Hu, Jinliang He
We present in this paper a model for forecasting short-term power loads based on deep residual networks.