Song, Dongjin

27 publications

IJCAI 2025 Harnessing Vision Models for Time Series Analysis: A Survey Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen

ICLR 2025 Learning System Dynamics Without Forgetting Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao

NeurIPS 2025 Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting ChengAo Shen, Wenchao Yu, Ziming Zhao, Dongjin Song, Wei Cheng, Haifeng Chen, Jingchao Ni

NeurIPS 2025 TS-RAG: Retrieval-Augmented Generation Based Time Series Foundation Models Are Stronger Zero-Shot Forecaster Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song

NeurIPS 2025 TimeXL: Explainable Multi-Modal Time Series Prediction with LLM-in-the-Loop Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen

ICML 2024 $S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

IJCAI 2024 Empowering Time Series Analysis with Large Language Models: A Survey Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

ICLR 2024 Online GNN Evaluation Under Test-Time Graph Distribution Shifts Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan

ICLR 2023 Asynchronous Distributed Bilevel Optimization Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian

ICLR 2023 HiT-MDP: Learning the SMDP Option Framework on MDPs with Hidden Temporal Embeddings Chang Li, Dongjin Song, Dacheng Tao

NeurIPS 2022 CGLB: Benchmark Tasks for Continual Graph Learning Xikun Zhang, Dongjin Song, Dacheng Tao

NeurIPS 2022 Distributed Distributionally Robust Optimization with Non-Convex Objectives Yang Jiao, Kai Yang, Dongjin Song

AAAI 2021 Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse Multivariate Time Series Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson

CVPR 2021 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik

AAAI 2021 Multi-Task Recurrent Modular Networks Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

AAAI 2020 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo

AAAI 2020 Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen

ICLR 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu

ECML-PKDD 2020 Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang

ICML 2020 Robust Graph Representation Learning via Neural Sparsification Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang

AAAI 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang

AAAI 2019 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla

IJCAI 2017 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell

IJCAI 2017 Exemplar-Centered Supervised Shallow Parametric Data Embedding Martin Renqiang Min, Hongyu Guo, Dongjin Song

IJCAI 2016 Fast Structural Binary Coding Dongjin Song, Wei Liu, David A. Meyer

AAAI 2015 Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC Dongjin Song, David A. Meyer

ICCV 2015 Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith