| 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 | 1520 | 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 | 1438 | 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 | 861 | 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 | 292 | 2020 |
| Biologically inspired feature manifold for scene classification D Song, D Tao IEEE Transactions on Image Processing 19 (1), 174-184, 2010 | 244 | 2010 |
| 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 | 226 | 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 | 139 | 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 | 82 | 2015 |
| 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 | 78 | 2024 |
| 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 | 74 | 2021 |
| 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 | 69 | 2019 |
| 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 | 65 | 2022 |
| 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 | 65 | 2018 |
| 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 | 61 | |
| 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 | 60 | 2020 |
| 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 | 47 | 2022 |
| 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 | 43 | 2015 |
| Hierarchical prototype networks for continual graph representation learning X Zhang, D Song, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4622-4636, 2022 | 42 | 2022 |
| 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 | 42 | 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 | 42 | 2020 |
Haifeng ChenNEC Laboratories America, Inc.Verified email at chacuo.net
