Seguir
Dongjin Song
Dongjin Song
Assistant Professor, Computer Science and Engineering, University of Connecticut
Dirección de correo verificada de uconn.edu - Página principal
Título
Citado por
Citado por
Año
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
9352017
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
7362019
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
4492019
Biologically inspired feature manifold for scene classification
D Song, D Tao
IEEE Transactions on Image Processing 19 (1), 174-184, 2010
2322010
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
1822018
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
1322020
High resolution population estimates from telecommunications data
RW Douglass, DA Meyer, M Ram, D Rideout, D Song
EPJ Data Science 4, 1-13, 2015
1222015
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
752015
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
482019
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
432018
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
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
372015
Link sign prediction and ranking in signed directed social networks
D Song, DA Meyer
Social network analysis and mining 5, 1-14, 2015
342015
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
282020
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
232020
Rank preserving hashing for rapid image search
D Song, W Liu, DA Meyer, D Tao, R Ji
2015 Data Compression Conference, 353-362, 2015
232015
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
222015
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
212021
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
212019
C1 units for scene classification
D Song, D Tao
2008 19th International Conference on Pattern Recognition, 1-4, 2008
212008
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20