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Dongjin Song

22 papers · 2015–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (55) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) πŸ† Grand Slam 🀝 Dynamic Duo (11) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (122)

Venues

AAAI (6) ICLR (5) IJCAI (5) ICML (2) NeurIPS (2) CVPR (1) ICCV (1)

Top co-authors

Haifeng Chen (11) Wei Cheng (11) Jingchao Ni (10) Bo Zong (8) Wenchao Yu (4) Yanchi Liu (4) Xikun Zhang (3) Dacheng Tao (3) Yushan Jiang (3) Zhengzhang Chen (3)

Research topics

Machine Learning (20) Deep Learning (12) Core Methods (12) Learning Types Β· Machine Learning (12) Artificial Intelligence (9) Data Science & Analytics (8) Core AI (8) Methods (7) Architectures (6) Application Areas (5) Computer Vision (3) Mathematics & Optimization (3) Learning Types Β· Deep Learning (3) Optimization & Theory (3) Natural Language Processing (2)

Keywords

multivariate time series (4) graph neural network (4) time series forecasting (3) unsupervised learning (3) time series analysis (2) graph representation learning (2) representation learning (2) recurrent neural network (2) binary coding (2) node classification (2) multi-task learning (2) metric learning (2) attention mechanism (2) large language model (2) transfer learning (1) variational inference (1) benchmark evaluation (1) domain generalization (1) non-convex optimization (1) stochastic gradient descent (1)

Papers

Harnessing Vision Models for Time Series Analysis: A Survey IJCAI 2025 Learning system dynamics without forgetting ICLR 2025 S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting ICML 2024 Empowering Time Series Analysis with Large Language Models: A Survey IJCAI 2024 Online GNN Evaluation Under Test-time Graph Distribution Shifts ICLR 2024 Asynchronous Distributed Bilevel Optimization ICLR 2023 HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings ICLR 2023 CGLB: Benchmark Tasks for Continual Graph Learning NeurIPS 2022 Distributed Distributionally Robust Optimization with Non-Convex Objectives NeurIPS 2022 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021 Multi-Task Recurrent Modular Networks AAAI 2021 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020 Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction IJCAI 2017 Exemplar-centered Supervised Shallow Parametric Data Embedding IJCAI 2017 Fast Structural Binary Coding IJCAI 2016 Top Rank Supervised Binary Coding for Visual Search ICCV 2015