Dongjin Song
Orcid: 0000-0002-7027-7916
According to our database1,
Dongjin Song
authored at least 72 papers
between 2008 and 2024.
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Bibliography
2024
S<sup>2</sup>IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting.
CoRR, 2024
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference.
CoRR, 2024
CoRR, 2024
Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements.
CoRR, 2024
2023
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing.
CoRR, 2023
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis.
CoRR, 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
CoRR, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles.
IROS, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023
2022
TimeAutoAD: Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series.
IEEE Trans. Netw. Sci. Eng., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
ACM Trans. Inf. Syst., 2021
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series.
CoRR, 2020
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Identifying and quantifying nonlinear structured relationships in complex manufactural systems.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
CoRR, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
Soc. Netw. Anal. Min., 2015
EPJ Data Sci., 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Design Process as Communication Agency for Value Co-Creation in Open Social Innovation Project: - A Case Study of QuYang Community in Shanghai.
Proceedings of the Cross-Cultural Design Methods, Practice and Impact, 2015
Proceedings of the 2015 Data Compression Conference, 2015
Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Design for the Public Usage of Rural Surplus Space (PURSS): The Case Study of DEISGN Harvests.
Proceedings of the Cross-Cultural Design, 2014
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
2010
IEEE Trans. Image Process., 2010
2009
Proceedings of the International Conference on Image Processing, 2009
2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008