Dongjin Song
22 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(47)
π
Conference Polyglot
(7)
π€
Dynamic Duo
(11)
π
Grand Slam
π
Keyword Champion
(4)
π
Century Club
(22)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(95)
π₯
Unstoppable
(7)
Conferences
AAAI (6)
ICLR (5)
IJCAI (5)
ICML (2)
NIPS (2)
CVPR (1)
ICCV (1)
Top co-authors
Keywords
multivariate time series
(4)
time series forecasting
(2)
multi-task learning
(2)
graph neural network
(2)
attention mechanism
(2)
metric learning
(2)
node classification
(2)
recurrent neural network
(2)
binary coding
(2)
large language model
(2)
time series analysis
(2)
representation learning
(2)
unsupervised learning
(2)
face analysis
(1)
feature extraction
(1)
anomaly detection
(1)
transfer learning
(1)
benchmark evaluation
(1)
variational inference
(1)
supervised learning
(1)
Papers
Harnessing Vision Models for Time Series Analysis: A Survey
IJCAI 2025
Learning system dynamics without forgetting
ICLR 2025
Online GNN Evaluation Under Test-time Graph Distribution Shifts
ICLR 2024
Empowering Time Series Analysis with Large Language Models: A Survey
IJCAI 2024
$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
ICML 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
NIPS 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives
NIPS 2022
Multi-Task Recurrent Modular Networks
AAAI 2021
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems
CVPR 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
AAAI 2021
Inductive and Unsupervised Representation Learning on Graph Structured Objects
ICLR 2020
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
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
Exemplar-centered Supervised Shallow Parametric Data Embedding
IJCAI 2017
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
IJCAI 2017
Fast Structural Binary Coding
IJCAI 2016
Top Rank Supervised Binary Coding for Visual Search
ICCV 2015