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
David A. MeyerUniversity of California, San DiegoVerified email at math.ucsd.edu
Bo ZongSalesforce.comVerified email at salesforce.com
Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
Yuncong ChenNEC Labs AmericaVerified email at nec-labs.com
Jingchao NiPennsylvania State UniversityVerified email at psu.edu
Cristian LumezanuNEC Laboratories AmericaVerified email at cs.umd.edu
Wenchao YuUniversity of California Los AngelesVerified email at ucla.edu
Chuxu ZhangAssistant Professor, Computer Science, Brandeis UniversityVerified email at brandeis.edu
Yao QinResearch Scientist, Google BrainVerified email at google.com
Wei LiuTencentVerified email at ee.columbia.edu
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre DameVerified email at nd.edu
Cheng ZhengResearch Scientist, FacebookVerified email at fb.com
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
Xinyang FengColumbia UniversityVerified email at columbia.edu
David RideoutUniversity of California, San DiegoVerified email at math.ucsd.edu
Yanchi LiuResearch Staff Member, NEC Labs AmericaVerified email at rutgers.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Hongyu GuoSenior Research Officer, National Research Council CanadaVerified email at nrc-cnrc.gc.ca

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 Computer Vision


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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	385	2017
Biologically inspired feature manifold for scene classification D Song, D Tao IEEE Transactions on Image Processing 19 (1), 174-184, 2010	226	2010
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	155	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	112	2019
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	93	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	89	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	65	2015
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	36	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	33	2015
Link sign prediction and ranking in signed directed social networks D Song, DA Meyer Social network analysis and mining 5 (1), 1-14, 2015	29	2015
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	22	2018
Rank preserving hashing for rapid image search D Song, W Liu, DA Meyer, D Tao, R Ji 2015 Data Compression Conference, 353-362, 2015	22	2015
C1 units for scene classification D Song, D Tao 2008 19th International Conference on Pattern Recognition, 1-4, 2008	21	2008
Efficient Robust Conditional Random Fields D Song, W Liu, T Zhou, D Tao, DA Meyer IEEE Transactions on Image Processing 24 (10), 3124-3136, 2015	18	2015
Analyzing social divisions using cell phone data O Bucicovschi, RW Douglass, DA Meyer, M Ram, D Rideout, D Song D4D book: mobile phone data for development. Analysis of mobile phone …, 2013	18	2013
Top-k Link Recommendation in Social Networks D Song, DA Meyer, D Tao IEEE International Conference on Data Mining, 2015	17	2015
Fast Structural Binary Coding D Song, W Liu, DA Meyer International Joint Conference on Artificial Intelligence (IJCAI), 2018-2024, 2016	16	2016
Fast nonnegative matrix factorization with rank-one admm D Song, DA Meyer, MR Min NIPS 2014 Workshop on Optimization for Machine Learning (OPT2014), 2014	16	2014
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	14	2019
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	12	2020

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