1 code implementation • 23 Dec 2021 • Denghui Zhang, Zixuan Yuan, Hao liu, Xiaodong Lin, Hui Xiong
Graph walking based on reinforcement learning (RL) has shown great success in navigating an agent to automatically complete various reasoning tasks over an incomplete knowledge graph (KG) by exploring multi-hop relational paths.
no code implementations • 2 Dec 2021 • Zixuan Yuan, Yada Zhu, Wei zhang, Ziming Huang, Guangnan Ye, Hui Xiong
Earnings call (EC), as a periodic teleconference of a publicly-traded company, has been extensively studied as an essential market indicator because of its high analytical value in corporate fundamentals.
no code implementations • 1 Dec 2021 • Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
Also, the word co-occurrences guided semantic learning of pre-training models can be largely augmented by entity-level association knowledge.
1 code implementation • 8 Apr 2021 • Zekai Chen, Dingshuo Chen, Xiao Zhang, Zixuan Yuan, Xiuzhen Cheng
This paper presented GTA, a new framework for multivariate time series anomaly detection that involves automatically learning a graph structure, graph convolution, and modeling temporal dependency using a Transformer-based architecture.
no code implementations • 7 Sep 2020 • Denghui Zhang, Zixuan Yuan, Yanchi Liu, Fuzhen Zhuang, Haifeng Chen, Hui Xiong
Pre-trained language models such as BERT have achieved great success in a broad range of natural language processing tasks.