Latent Community Discovery with Network Regularization for Core Actors Clustering. - Guangxu Xun; Yujiu Yang; Liangwei Wang; Wenhuang Liu (COLING (Posters), 2012)

Context-learning based electroencephalogram analysis for epileptic seizure detection. - Guangxu Xun; Xiaowei Jia; Aidong Zhang (BIBM, 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 (BIBM, 2015)

Multi-modal learning for video recommendation based on mobile application usage. - Xiaowei Jia; Aosen Wang; Xiaoyi Li; Guangxu Xun; Wenyao Xu; Aidong Zhang (IEEE BigData, 2015)

Improving EEG feature learning via synchronized facial video. - Xiaoyi Li; Xiaowei Jia; Guangxu Xun; Aidong Zhang (IEEE BigData, 2015)

Influence based analysis of community consistency in dynamic networks. - Xiaowei Jia; Xiaoyi Li; Nan Du 001; Yuan Zhang 028; Vishrawas Gopalakrishnan; Guangxu Xun; Aidong Zhang (ASONAM, 2016)

Collaborative restricted Boltzmann machine for social event recommendation. - Xiaowei Jia; Xiaoyi Li; Kang Li 003; Vishrawas Gopalakrishnan; Guangxu Xun; Aidong Zhang (ASONAM, 2016)

Topic Discovery for Short Texts Using Word Embeddings. - Guangxu Xun; Vishrawas Gopalakrishnan; Fenglong Ma; Yaliang Li; Jing Gao 004; Aidong Zhang (ICDM, 2016)

Detecting epileptic seizures with electroencephalogram via a context-learning model. - Guangxu Xun; Xiaowei Jia; Aidong Zhang (BMC Medical Informatics Decis. Mak., 2016)

A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform. - Ye Yuan 006; Guangxu Xun; Kebin Jia; Aidong Zhang (BCB, 2017)

A novel wavelet-based model for EEG epileptic seizure detection using multi-context learning. - Ye Yuan 006; Guangxu Xun; Kebin Jia; Aidong Zhang (BIBM, 2017)

Augmenting word embeddings through external knowledge-base for biomedical application. - Kishlay Jha; Guangxu Xun; Vishrawas Gopalakrishnan; Aidong Zhang (IEEE BigData, 2017)

Generating Medical Hypotheses Based on Evolutionary Medical Concepts. - Guangxu Xun; Kishlay Jha; Vishrawas Gopalakrishnan; Yaliang Li; Aidong Zhang (ICDM, 2017)

Wave2Vec: Learning Deep Representations for Biosignals. - Ye Yuan 006; Guangxu Xun; Qiuling Suo; Kebin Jia; Aidong Zhang (ICDM, 2017)

A Correlated Topic Model Using Word Embeddings. - Guangxu Xun; Yaliang Li; Wayne Xin Zhao; Jing Gao 004; Aidong Zhang (IJCAI, 2017)

Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. - Guangxu Xun; Yaliang Li; Jing Gao 004; Aidong Zhang (KDD, 2017)

A Survey on Context Learning. - Guangxu Xun; Xiaowei Jia; Vishrawas Gopalakrishnan; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2017)

A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. - Ye Yuan 006; Guangxu Xun; Fenglong Ma; Qiuling Suo; Hongfei Xue; Kebin Jia; Aidong Zhang (BHI, 2018)

Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks. - Ye Yuan 006; Kebin Jia; Fenglong Ma; Guangxu Xun; Yaqing Wang 001; Lu Su 001; Aidong Zhang (BIBM, 2018)

Interpretable Word Embeddings for Medical Domain. - Kishlay Jha; Yaqing Wang 001; Guangxu Xun; Aidong Zhang (ICDM, 2018)

MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. - Ye Yuan 006; Guangxu Xun; Fenglong Ma; Yaqing Wang 001; Nan Du 001; Kebin Jia; Lu Su 001; Aidong Zhang (ICDM, 2018)

Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. - Kishlay Jha; Guangxu Xun; Yaqing Wang 001; Vishrawas Gopalakrishnan; Aidong Zhang (KDD, 2018)

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. - Yaqing Wang 001; Fenglong Ma; Zhiwei Jin; Ye Yuan 006; Guangxu Xun; Kishlay Jha; Lu Su 001; Jing Gao 004 (KDD, 2018)

Towards self-learning based hypotheses generation in biomedical text domain. - Vishrawas Gopalakrishnan; Kishlay Jha; Guangxu Xun; Hung Q. Ngo 001; Aidong Zhang (Bioinform., 2018)

Topic Discovery for Biomedical Corpus Using MeSH Embeddings. - Guangxu Xun; Kishlay Jha; Ye Yuan 006; Aidong Zhang (BHI, 2019)

Recurrent Imputation for Multivariate Time Series with Missing Values. - Qiuling Suo; Liuyi Yao; Guangxu Xun; Jianhui Sun; Aidong Zhang (ICHI, 2019)

Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. - Kishlay Jha; Guangxu Xun; Yaqing Wang 001; Aidong Zhang (KDD, 2019)

MeSHProbeNet: a self-attentive probe net for MeSH indexing. - Guangxu Xun; Kishlay Jha; Ye Yuan 006; Yaqing Wang 001; Aidong Zhang (Bioinform., 2019)

A hybrid self-attention deep learning framework for multivariate sleep stage classification. - Ye Yuan 006; Kebin Jia; Fenglong Ma; Guangxu Xun; Yaqing Wang 001; Lu Su 001; Aidong Zhang (BMC Bioinform., 2019)

Wave2Vec: Deep representation learning for clinical temporal data. - Ye Yuan 006; Guangxu Xun; Qiuling Suo; Kebin Jia; Aidong Zhang (Neurocomputing, 2019)

A Multi-View Deep Learning Framework for EEG Seizure Detection. - Ye Yuan 006; Guangxu Xun; Kebin Jia; Aidong Zhang (IEEE J. Biomed. Health Informatics, 2019)

DWE-Med: Dynamic Word Embeddings for Medical Domain. - Kishlay Jha; Guangxu Xun; Vishrawas Gopalakrishnan; Aidong Zhang (ACM Trans. Knowl. Discov. Data, 2019)

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. - Jinduo Liu 001; Junzhong Ji; Guangxu Xun; Liuyi Yao; Mengdi Huai; Aidong Zhang (AAAI, 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 (IEEE BigData, 2020)

Correlation Networks for Extreme Multi-label Text Classification. - Guangxu Xun; Kishlay Jha; Jianhui Sun; Aidong Zhang (KDD, 2020)

FAT-RE: A faster dependency-free model for relation extraction. - Lifang Ding; Zeyang Lei; Guangxu Xun; Yujiu Yang (J. Web Semant., 2020)

InterHG: an Interpretable and Accurate Model for Hypothesis Generation. - Haoyu Wang 004; Xuan Wang 008; Yaqing Wang 001; Guangxu Xun; Kishlay Jha; Jing Gao 004 (BIBM, 2021)

Knowledge-Guided Efficient Representation Learning for Biomedical Domain. - Kishlay Jha; Guangxu Xun; Nan Du 001; Aidong Zhang (KDD, 2021)

A Stagewise Hyperparameter Scheduler to Improve Generalization. - Jianhui Sun; Ying Yang; Guangxu Xun; Aidong Zhang (KDD, 2021)

Continual representation learning for evolving biomedical bipartite networks. - Kishlay Jha; Guangxu Xun; Aidong Zhang (Bioinform., 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)

MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes. - Guangxu Xun; Kishlay Jha; Aidong Zhang (ACM Trans. Knowl. Discov. Data, 2021)

Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach. - Xiaowei Jia; Xiaoyi Li; Nan Du 001; Yuan Zhang 028; Vishrawas Gopalakrishnan; Guangxu Xun; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2021)

W-CTC: a Connectionist Temporal Classification Loss with Wild Cards. - Xingyu Cai; Jiahong Yuan; Yuchen Bian; Guangxu Xun; Jiaji Huang; Kenneth Church 001 (ICLR, 2022)

Data-Driven Adaptive Simultaneous Machine Translation. - Guangxu Xun; Mingbo Ma; Yuchen Bian; Xingyu Cai; Jiaji Huang; Renjie Zheng; Jun-Kun Chen; Jiahong Yuan; Kenneth Church 001; Liang Huang 001 (CoRR, 2022)

Emerging trends: General fine-tuning (gft). - Kenneth Ward Church; Xingyu Cai; Yibiao Ying; Zeyu Chen; Guangxu Xun; Yuchen Bian (Nat. Lang. Eng., 2022)

Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. - Jinduo Liu 001; Junzhong Ji; Guangxu Xun; Aidong Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD. - Jianhui Sun; Ying Yang; Guangxu Xun; Aidong Zhang (ACM Trans. Knowl. Discov. Data, 2023)