Guangxu Xun

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 44

Top Topics

Top Venues

Publications

Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Guangxu Xun, Mingbo Ma, Yuchen Bian, Xingyu Cai, Jiaji Huang, Renjie Zheng, Junkun Chen, Jiahong Yuan, Kenneth Church, Liang Huang
Data-Driven Adaptive Simultaneous Machine Translation. CoRR (2022)
Kenneth Ward Church, Xingyu Cai, Yibiao Ying, Zeyu Chen, Guangxu Xun, Yuchen Bian
Emerging trends: General fine-tuning (gft). Nat. Lang. Eng. 28 (4) (2022)
Xingyu Cai, Jiahong Yuan, Yuchen Bian, Guangxu Xun, Jiaji Huang, Kenneth Church
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards. ICLR (2022)
Jinduo Liu, Junzhong Ji, Guangxu Xun, Aidong Zhang
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao
InterHG: an Interpretable and Accurate Model for Hypothesis Generation. BIBM (2021)
Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Guangxu Xun, Kishlay Jha, Aidong Zhang
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes. ACM Trans. Knowl. Discov. Data 15 (1) (2021)
Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang
HSCJN: A holistic semantic constraint joint network for diverse response generation. Comput. Speech Lang. 65 (2021)
Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang
A Stagewise Hyperparameter Scheduler to Improve Generalization. KDD (2021)
Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang
Knowledge-Guided Efficient Representation Learning for Biomedical Domain. KDD (2021)
Kishlay Jha, Guangxu Xun, Aidong Zhang
Continual representation learning for evolving biomedical bipartite networks. Bioinform. 37 (15) (2021)
Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang
Correlation Networks for Extreme Multi-label Text Classification. KDD (2020)
Lifang Ding, Zeyang Lei, Guangxu Xun, Yujiu Yang
FAT-RE: A faster dependency-free model for relation extraction. J. Web Semant. 65 (2020)
Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang
GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning. IEEE BigData (2020)
Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI (2020)
Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang
HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation. CoRR (2019)
Guangxu Xun, Kishlay Jha, Ye Yuan, Yaqing Wang, Aidong Zhang
MeSHProbeNet: a self-attentive probe net for MeSH indexing. Bioinform. 35 (19) (2019)
Guangxu Xun, Kishlay Jha, Ye Yuan, Aidong Zhang
Topic Discovery for Biomedical Corpus Using MeSH Embeddings. BHI (2019)
Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang
Wave2Vec: Deep representation learning for clinical temporal data. Neurocomputing 324 (2019)
Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang
Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI (2019)
Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang
DWE-Med: Dynamic Word Embeddings for Medical Domain. ACM Trans. Knowl. Discov. Data 13 (2) (2019)
Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang
A Multi-View Deep Learning Framework for EEG Seizure Detection. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang
A hybrid self-attention deep learning framework for multivariate sleep stage classification. BMC Bioinform. (16) (2019)
Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. KDD (2019)
Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang
Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks. BIBM (2018)
Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang
Interpretable Word Embeddings for Medical Domain. ICDM (2018)
Vishrawas Gopalakrishnan, Kishlay Jha, Guangxu Xun, Hung Q. Ngo, Aidong Zhang
Towards self-learning based hypotheses generation in biomedical text domain. Bioinform. 34 (12) (2018)
Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang
A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. BHI (2018)
Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. ICDM (2018)
Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. KDD (2018)
Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. KDD (2018)
Guangxu Xun, Xiaowei Jia, Vishrawas Gopalakrishnan, Aidong Zhang
A Survey on Context Learning. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang
A novel wavelet-based model for EEG epileptic seizure detection using multi-context learning. BIBM (2017)
Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang
Generating Medical Hypotheses Based on Evolutionary Medical Concepts. ICDM (2017)
Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang
A Correlated Topic Model Using Word Embeddings. IJCAI (2017)
Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. KDD (2017)
Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang
Augmenting word embeddings through external knowledge-base for biomedical application. IEEE BigData (2017)
Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang
Wave2Vec: Learning Deep Representations for Biosignals. ICDM (2017)
Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang
A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform. BCB (2017)
Guangxu Xun, Xiaowei Jia, Aidong Zhang
Detecting epileptic seizures with electroencephalogram via a context-learning model. BMC Medical Informatics Decis. Mak. 16 (S-2) (2016)
Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang
Topic Discovery for Short Texts Using Word Embeddings. ICDM (2016)
Xiaowei Jia, Xiaoyi Li, Kang Li, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang
Collaborative restricted Boltzmann machine for social event recommendation. ASONAM (2016)
Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang
Influence based analysis of community consistency in dynamic networks. ASONAM (2016)
Guangxu Xun, Xiaowei Jia, Aidong Zhang
Context-learning based electroencephalogram analysis for epileptic seizure detection. BIBM (2015)
Guangxu Xun, Xiaoyi Li, Marc R. Knecht, Paras N. Prasad, Mark T. Swihart, Tiffany R. Walsh, Aidong Zhang
Identifying inorganic material affinity classes for peptide sequences based on context learning. BIBM (2015)
Xiaowei Jia, Aosen Wang, Xiaoyi Li, Guangxu Xun, Wenyao Xu, Aidong Zhang
Multi-modal learning for video recommendation based on mobile application usage. IEEE BigData (2015)
Xiaoyi Li, Xiaowei Jia, Guangxu Xun, Aidong Zhang
Improving EEG feature learning via synchronized facial video. IEEE BigData (2015)
Guangxu Xun, Yujiu Yang, Liangwei Wang, Wenhuang Liu
Latent Community Discovery with Network Regularization for Core Actors Clustering. COLING (Posters) (2012)