1 code implementation • 1 Feb 2024 • Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, HuaWei Shen, Xueqi Cheng
To the best of our knowledge, this paper is the first survey for graph domain adaptation.
1 code implementation • 14 Oct 2023 • Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, HuaWei Shen, Xueqi Cheng
Most existing methods that address out-of-distribution (OOD) generalization for node classification on graphs primarily focus on a specific type of data biases, such as label selection bias or structural bias.
1 code implementation • 21 Jul 2023 • Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, HuaWei Shen, Xueqi Cheng
Overall, OpenGDA provides a user-friendly, scalable and reproducible benchmark for evaluating graph domain adaptation models.
2 code implementations • 13 Jun 2021 • Guoguo Chen, Shuzhou Chai, Guanbo Wang, Jiayu Du, Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, Mingjie Jin, Sanjeev Khudanpur, Shinji Watanabe, Shuaijiang Zhao, Wei Zou, Xiangang Li, Xuchen Yao, Yongqing Wang, Yujun Wang, Zhao You, Zhiyong Yan
This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10, 000 hours of high quality labeled audio suitable for supervised training, and 40, 000 hours of total audio suitable for semi-supervised and unsupervised training.
Ranked #1 on Speech Recognition on GigaSpeech
no code implementations • 19 Apr 2021 • Jiangli Shao, Yongqing Wang, Hao Gao, HuaWei Shen, Yangyang Li, Xueqi Cheng
However, encouraged by online services, users would also post asymmetric information across networks, such as geo-locations and texts.
2 code implementations • 3 Apr 2021 • Junbo Zhang, Zhiwen Zhang, Yongqing Wang, Zhiyong Yan, Qiong Song, YuKai Huang, Ke Li, Daniel Povey, Yujun Wang
This paper introduces a new open-source speech corpus named "speechocean762" designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are children.
Ranked #7 on Phone-level pronunciation scoring on speechocean762
no code implementations • 19 Mar 2021 • Hao Gao, Yongqing Wang, Shanshan Lyu, HuaWei Shen, Xueqi Cheng
However, the low quality of observed user data confuses the judgment on anchor links, resulting in the matching collision problem in practice.
1 code implementation • 1 May 2017 • Yongqing Wang, HuaWei Shen, Shenghua Liu, Jinhua Gao, and Xueqi Cheng
However, for cascade prediction, each cascade generally corresponds to a diffusion tree, causing cross-dependence in cascade— one sharing behavior could be triggered by its non-immediate predecessor in the memory chain.
no code implementations • 14 Jan 2017 • Yongqing Wang, Shenghua Liu, Hua-Wei Shen, Xue-Qi Cheng
Indeed, in marked temporal dynamics, the time and the mark of the next event are highly dependent on each other, requiring a method that could simultaneously predict both of them.