Search Results for author: Qiong Dai

Found 4 papers, 1 papers with code

Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction

no code implementations17 Oct 2023 Xusheng Zhao, Hao liu, Qiong Dai, Hao Peng, Xu Bai, Huailiang Peng

We showcase the effectiveness of MSGT-SL on real-world SL tasks, demonstrating the empirical benefits gained from the graph transformer and multi-omics data.

Edge Classification

Deep reinforcement learning guided graph neural networks for brain network analysis

no code implementations18 Mar 2022 Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David Mcalpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He

Modern neuroimaging techniques, such as diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI), enable us to model the human brain as a brain network or connectome.

reinforcement-learning Reinforcement Learning (RL) +1

Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding

no code implementations CONLL 2019 Chaodong Tong, Huailiang Peng, Qiong Dai, Lei Jiang, Jianghua Huang

We propose a method called reverse mapping bytepair encoding, which maps named-entity information and other word-level linguistic features back to subwords during the encoding procedure of bytepair encoding (BPE).

Natural Language Understanding RTE +1

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