Guangxu Xun

According to our database, Guangxu Xun authored at least 48 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD.

Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang

ACM Trans. Knowl. Discov. Data, February, 2023

2022

Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score.

Jinduo Liu, Junzhong Ji, Guangxu Xun, Aidong Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Emerging trends: General fine-tuning (gft).

Kenneth Ward Church, Xingyu Cai, Yibiao Ying, Zeyu Chen, Guangxu Xun, Yuchen Bian

Nat. Lang. Eng., 2022

Data-Driven Adaptive Simultaneous Machine Translation.

Guangxu Xun, Mingbo Ma, Yuchen Bian, Xingyu Cai, Jiaji Huang, Renjie Zheng, Junkun Chen, Jiahong Yuan, Kenneth Church, Liang Huang

CoRR, 2022

W-CTC: a Connectionist Temporal Classification Loss with Wild Cards.

Xingyu Cai, Jiahong Yuan, Yuchen Bian, Guangxu Xun, Jiaji Huang, Kenneth Church

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach.

Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang

IEEE Trans. Knowl. Data Eng., 2021

MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes.

Guangxu Xun, Kishlay Jha, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2021

HSCJN: A holistic semantic constraint joint network for diverse response generation.

Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang

Comput. Speech Lang., 2021

Continual representation learning for evolving biomedical bipartite networks.

Kishlay Jha, Guangxu Xun, Aidong Zhang

Bioinform., 2021

A Stagewise Hyperparameter Scheduler to Improve Generalization.

Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Knowledge-Guided Efficient Representation Learning for Biomedical Domain.

Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

InterHG: an Interpretable and Accurate Model for Hypothesis Generation.

Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

FAT-RE: A faster dependency-free model for relation extraction.

Lifang Ding, Zeyang Lei, Guangxu Xun, Yujiu Yang

J. Web Semant., 2020

Correlation Networks for Extreme Multi-label Text Classification.

Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning.

Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks.

Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DWE-Med: Dynamic Word Embeddings for Medical Domain.

Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2019

A Multi-View Deep Learning Framework for EEG Seizure Detection.

Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang

IEEE J. Biomed. Health Informatics, 2019

Wave2Vec: Deep representation learning for clinical temporal data.

Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang

Neurocomputing, 2019

A hybrid self-attention deep learning framework for multivariate sleep stage classification.

Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang

BMC Bioinform., 2019

MeSHProbeNet: a self-attentive probe net for MeSH indexing.

Guangxu Xun, Kishlay Jha, Ye Yuan, Yaqing Wang, Aidong Zhang

Bioinform., 2019

Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts.

Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Recurrent Imputation for Multivariate Time Series with Missing Values.

Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Topic Discovery for Biomedical Corpus Using MeSH Embeddings.

Guangxu Xun, Kishlay Jha, Ye Yuan, Aidong Zhang

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Towards self-learning based hypotheses generation in biomedical text domain.

Vishrawas Gopalakrishnan, Kishlay Jha, Guangxu Xun, Hung Q. Ngo, Aidong Zhang

Bioinform., 2018

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection.

Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution.

Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

MuVAN: A Multi-view Attention Network for Multivariate Temporal Data.

Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

Interpretable Word Embeddings for Medical Domain.

Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks.

Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning.

Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

A Survey on Context Learning.

Guangxu Xun, Xiaowei Jia, Vishrawas Gopalakrishnan, Aidong Zhang

IEEE Trans. Knowl. Data Eng., 2017

Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts.

Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Correlated Topic Model Using Word Embeddings.

Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Wave2Vec: Learning Deep Representations for Biosignals.

Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Generating Medical Hypotheses Based on Evolutionary Medical Concepts.

Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Augmenting word embeddings through external knowledge-base for biomedical application.

Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A novel wavelet-based model for EEG epileptic seizure detection using multi-context learning.

Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform.

Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Detecting epileptic seizures with electroencephalogram via a context-learning model.

Guangxu Xun, Xiaowei Jia, Aidong Zhang

BMC Medical Informatics Decis. Mak., 2016

Topic Discovery for Short Texts Using Word Embeddings.

Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Collaborative restricted Boltzmann machine for social event recommendation.

Xiaowei Jia, Xiaoyi Li, Kang Li, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Influence based analysis of community consistency in dynamic networks.

Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Improving EEG feature learning via synchronized facial video.

Xiaoyi Li, Xiaowei Jia, Guangxu Xun, Aidong Zhang

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Multi-modal learning for video recommendation based on mobile application usage.

Xiaowei Jia, Aosen Wang, Xiaoyi Li, Guangxu Xun, Wenyao Xu, Aidong Zhang

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Identifying inorganic material affinity classes for peptide sequences based on context learning.

Guangxu Xun, Xiaoyi Li, Marc R. Knecht, Paras N. Prasad, Mark T. Swihart, Tiffany R. Walsh, Aidong Zhang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Context-learning based electroencephalogram analysis for epileptic seizure detection.

Guangxu Xun, Xiaowei Jia, Aidong Zhang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2012

Latent Community Discovery with Network Regularization for Core Actors Clustering.

Guangxu Xun, Yujiu Yang, Liangwei Wang, Wenhuang Liu

Proceedings of the COLING 2012, 2012