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Dongjin Song
Dongjin Song
Assistant Professor, Computer Science and Engineering, University of Connecticut
Verified email at uconn.edu - Homepage
Title
Cited by
Cited by
Year
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Y Qin, D Song, H Cheng, W Chen, G Jiang, G Cottrell
International Joint Conference on Artificial Intelligence (IJCAI), 2017, 2017
14482017
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
13392019
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
8062019
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
2762020
Biologically inspired feature manifold for scene classification
D Song, D Tao
IEEE Transactions on Image Processing 19 (1), 174-184, 2010
2412010
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
2192018
High resolution population estimates from telecommunications data
RW Douglass, DA Meyer, M Ram, D Rideout, D Song
EPJ Data Science 4, 1-13, 2015
1372015
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
812015
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
682019
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
642018
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
632021
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
612022
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
582020
A dual-stage attention-based recurrent neural network for time series prediction. arXiv 2017
Y Qin, D Song, H Chen, W Cheng, G Jiang, G Cottrell
arXiv preprint arXiv:1704.02971, 0
57
Self-supervised learning for time series analysis: Taxonomy, progress, and prospects
K Zhang, Q Wen, C Zhang, R Cai, M Jin, Y Liu, JY Zhang, Y Liang, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
552024
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
432015
Timeautoad: Autonomous anomaly detection with self-supervised contrastive loss for multivariate time series
Y Jiao, K Yang, D Song, D Tao
IEEE Transactions on Network Science and Engineering 9 (3), 1604-1619, 2022
412022
Link sign prediction and ranking in signed directed social networks
D Song, DA Meyer
Social network analysis and mining 5, 1-14, 2015
412015
Efficient latent link recommendation in signed networks
D Song, DA Meyer, D Tao
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
402015
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
392021
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