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2020 – today
- 2023
[j16]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): 29:1-29:37 (2023)- 2022
- [j15]Kenneth Ward Church, Xingyu Cai, Yibiao Ying, Zeyu Chen, Guangxu Xun, Yuchen Bian:
Emerging trends: General fine-tuning (gft). Nat. Lang. Eng. 28(4): 519-535 (2022) - [j14]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): 5993-6006 (2022) - [c31]Xingyu Cai, Jiahong Yuan, Yuchen Bian, Guangxu Xun, Jiaji Huang, Kenneth Church:
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards. ICLR 2022 - [i2]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 abs/2204.12672 (2022) - 2021
- [j13]Kishlay Jha, Guangxu Xun, Aidong Zhang:
Continual representation learning for evolving biomedical bipartite networks. Bioinform. 37(15): 2190-2197 (2021) - [j12]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: 101135 (2021) - [j11]Guangxu Xun, Kishlay Jha, Aidong Zhang:
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes. ACM Trans. Knowl. Discov. Data 15(1): 11:1-11:14 (2021) - [j10]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): 782-795 (2021) - [c30]Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao:
InterHG: an Interpretable and Accurate Model for Hypothesis Generation. BIBM 2021: 1552-1557 - [c29]Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang:
A Stagewise Hyperparameter Scheduler to Improve Generalization. KDD 2021: 1530-1540 - [c28]Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang:
Knowledge-Guided Efficient Representation Learning for Biomedical Domain. KDD 2021: 3077-3085 - 2020
- [j9]Lifang Ding, Zeyang Lei, Guangxu Xun, Yujiu Yang:
FAT-RE: A faster dependency-free model for relation extraction. J. Web Semant. 65: 100598 (2020) - [c27]Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang:
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI 2020: 4852-4859 - [c26]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: 798-807 - [c25]Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang:
Correlation Networks for Extreme Multi-label Text Classification. KDD 2020: 1074-1082
2010 – 2019
- 2019
- [j8]Guangxu Xun, Kishlay Jha, Ye Yuan, Yaqing Wang, Aidong Zhang:
MeSHProbeNet: a self-attentive probe net for MeSH indexing. Bioinform. 35(19): 3794-3802 (2019) - [j7]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. 20-S(16): 586:1-586:10 (2019) - [j6]Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang:
Wave2Vec: Deep representation learning for clinical temporal data. Neurocomputing 324: 31-42 (2019) - [j5]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): 83-94 (2019) - [j4]Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang:
DWE-Med: Dynamic Word Embeddings for Medical Domain. ACM Trans. Knowl. Discov. Data 13(2): 19:1-19:21 (2019) - [c24]Guangxu Xun, Kishlay Jha, Ye Yuan, Aidong Zhang:
Topic Discovery for Biomedical Corpus Using MeSH Embeddings. BHI 2019: 1-4 - [c23]Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang:
Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI 2019: 1-3 - [c22]Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang:
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. KDD 2019: 843-851 - [i1]Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang:
HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation. CoRR abs/1912.00380 (2019) - 2018
- [j3]Vishrawas Gopalakrishnan, Kishlay Jha, Guangxu Xun, Hung Q. Ngo, Aidong Zhang:
Towards self-learning based hypotheses generation in biomedical text domain. Bioinform. 34(12): 2103-2115 (2018) - [c21]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: 206-209 - [c20]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: 963-968 - [c19]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: 717-726 - [c18]Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang:
Interpretable Word Embeddings for Medical Domain. ICDM 2018: 1061-1066 - [c17]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: 849-857 - [c16]Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang:
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. KDD 2018: 1599-1607 - 2017
- [j2]Guangxu Xun, Xiaowei Jia, Vishrawas Gopalakrishnan, Aidong Zhang:
A Survey on Context Learning. IEEE Trans. Knowl. Data Eng. 29(1): 38-56 (2017) - [c15]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: 213-222 - [c14]Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang:
A novel wavelet-based model for EEG epileptic seizure detection using multi-context learning. BIBM 2017: 694-699 - [c13]Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang:
Augmenting word embeddings through external knowledge-base for biomedical application. IEEE BigData 2017: 1965-1974 - [c12]Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang:
Generating Medical Hypotheses Based on Evolutionary Medical Concepts. ICDM 2017: 535-544 - [c11]Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang:
Wave2Vec: Learning Deep Representations for Biosignals. ICDM 2017: 1159-1164 - [c10]Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang:
A Correlated Topic Model Using Word Embeddings. IJCAI 2017: 4207-4213 - [c9]Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang:
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. KDD 2017: 535-543 - 2016
- [j1]Guangxu Xun, Xiaowei Jia, Aidong Zhang:
Detecting epileptic seizures with electroencephalogram via a context-learning model. BMC Medical Informatics Decis. Mak. 16(S-2): 70 (2016) - [c8]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: 1-8 - [c7]Xiaowei Jia, Xiaoyi Li, Kang Li, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang:
Collaborative restricted Boltzmann machine for social event recommendation. ASONAM 2016: 402-405 - [c6]Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang:
Topic Discovery for Short Texts Using Word Embeddings. ICDM 2016: 1299-1304 - 2015
- [c5]Guangxu Xun, Xiaowei Jia, Aidong Zhang:
Context-learning based electroencephalogram analysis for epileptic seizure detection. BIBM 2015: 325-330 - [c4]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: 549-554 - [c3]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: 837-842 - [c2]Xiaoyi Li, Xiaowei Jia, Guangxu Xun, Aidong Zhang:
Improving EEG feature learning via synchronized facial video. IEEE BigData 2015: 843-848 - 2012
- [c1]Guangxu Xun, Yujiu Yang, Liangwei Wang, Wenhuang Liu:
Latent Community Discovery with Network Regularization for Core Actors Clustering. COLING (Posters) 2012: 1351-1360
Coauthor Index
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