Dongjin Song

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Haifeng ChenNEC Laboratories America, Inc.Verified email at chacuo.net
Wei ChengSenior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)Verified email at nec-labs.com
Bo ZongSalesforce.comVerified email at salesforce.com
Jingchao NiAmazon Web Services; NEC Labs (Ph.D., Penn State)Verified email at amazon.com
Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
Wenchao YuUniversity of California Los AngelesVerified email at ucla.edu
David A. MeyerUniversity of California, San DiegoVerified email at math.ucsd.edu
Chuxu ZhangAssistant Professor, Computer Science, Brandeis UniversityVerified email at brandeis.edu
Nitesh V Chawla, Fellow ACM, IEEEFrank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameVerified email at nd.edu
Yao QinAssistant Professor at UCSB & Senior Research Scientist at GoogleVerified email at ucsb.edu
Chao HuangAssistant Professor of Computer Science, University of Hong KongVerified email at hku.hk
Zhengzhang ChenSenior Research Staff Member, NEC Laboratories AmericaVerified email at nec-labs.com
Cheng ZhengResearch Scientist, MetaVerified email at meta.com
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
Martin Renqiang MinDepartment of Machine Learning, NEC Labs AmericaVerified email at nec-labs.com
Yanchi LiuResearch Staff Member, NEC Labs AmericaVerified email at rutgers.edu
Wei Liu, IEEE/IAPR/IMA FellowDistinguished Scientist, TencentVerified email at ee.columbia.edu
Dongkuan (DK) XuAssistant Professor of Computer Science, North Carolina State UniversityVerified email at ncsu.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
John R. SmithIBM T. J. Watson Research CenterVerified email at us.ibm.com

Dongjin Song

Assistant Professor, Computer Science and Engineering, University of Connecticut

Verified email at uconn.edu - Homepage

Artificial Intelligence Data Mining Deep Learning Time Series Analysis Graph Representation Learning


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A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Y Qin, D Song, H Cheng, W Cheng, G Jiang, G Cottrell International Joint Conference on Artificial Intelligence (IJCAI), 2017, 2017	1231	2017
Heterogeneous graph neural network C Zhang, D Song, C Huang, A Swami, NV Chawla Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	1074	2019
A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 1409-1416, 2019	658	2019
Biologically inspired feature manifold for scene classification D Song, D Tao IEEE Transactions on Image Processing 19 (1), 174-184, 2010	236	2010
Robust graph representation learning via neural sparsification C Zheng, B Zong, W Cheng, D Song, J Ni, W Yu, H Chen, W Wang International Conference on Machine Learning, 11458-11468, 2020	209	2020
Learning deep network representations with adversarially regularized autoencoders W Yu, C Zheng, W Cheng, CC Aggarwal, D Song, B Zong, H Chen, ... Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018	205	2018
High resolution population estimates from telecommunications data RW Douglass, DA Meyer, M Ram, D Rideout, D Song EPJ Data Science 4, 1-13, 2015	133	2015
Top Rank Supervised Binary Coding for Visual Search D Song, W Liu, R Ji, DA Meyer, J Smith The IEEE International Conference on Computer Vision (ICCV), 1922-1930, 2015	81	2015
Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction C Li, D Song, D Tao Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	60	2019
Deep r-th root of rank supervised joint binary embedding for multivariate time series retrieval D Song, N Xia, W Cheng, H Chen, D Tao Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	57	2018
Asymmetrical hierarchical networks with attentive interactions for interpretable review-based recommendation X Dong, J Ni, W Cheng, Z Chen, B Zong, D Song, Y Liu, H Chen, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 7667-7674, 2020	43	2020
Recommending positive links in signed social networks by optimizing a generalized AUC D Song, D Meyer Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	42	2015
Efficient latent link recommendation in signed networks D Song, DA Meyer, D Tao Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	39	2015
Convolutional transformer based dual discriminator generative adversarial networks for video anomaly detection X Feng, D Song, Y Chen, Z Chen, J Ni, H Chen Proceedings of the 29th ACM International Conference on Multimedia, 5546-5554, 2021	38	2021
Multimodal sensing and therapeutic systems for wound healing and management: A review SH Lu, M Samandari, C Li, H Li, D Song, Y Zhang, A Tamayol, X Wang Sensors and Actuators Reports 4, 100075, 2022	36	2022
Link sign prediction and ranking in signed directed social networks D Song, DA Meyer Social network analysis and mining 5, 1-14, 2015	36	2015
Dynamic gaussian mixture based deep generative model for robust forecasting on sparse multivariate time series Y Wu, J Ni, W Cheng, B Zong, D Song, Z Chen, Y Liu, X Zhang, H Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 651-659, 2021	30	2021
Tensorized LSTM with adaptive shared memory for learning trends in multivariate time series D Xu, W Cheng, B Zong, D Song, J Ni, W Yu, Y Liu, H Chen, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1395-1402, 2020	29	2020
Inductive and unsupervised representation learning on graph structured objects L Wang, B Zong, Q Ma, W Cheng, J Ni, W Yu, Y Liu, D Song, H Chen, ... International conference on learning representations, 2019	27	2019
Deep co-clustering D Xu, W Cheng, B Zong, J Ni, D Song, W Yu, Y Chen, H Chen, X Zhang Proceedings of the 2019 SIAM International Conference on Data Mining, 414-422, 2019	26	2019

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