Dongjin Song

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All published works

Action	Title	Year	Authors
+ PDF Chat	Foundation Models for Time Series Analysis: A Tutorial and Survey	2024	Yuxuan Liang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen
+ PDF Chat	Empowering Time Series Analysis with Large Language Models: A Survey	2024	Yushan Jiang Zijie Pan Xikun Zhang Sahil Garg Anderson Schneider Yuriy Nevmyvaka Dongjin Song
+ PDF Chat	Learning System Dynamics without Forgetting	2024	Xikun Zhang Dongjin Song Yushan Jiang Yixin Chen Dacheng Tao
+ PDF Chat	International Trade Flow Prediction with Bilateral Trade Provisions	2024	Zijie Pan Stepan Gordeev Jiahui Zhao Ziyi Meng Caiwen Ding Sandro Steinbach Dongjin Song
+ PDF Chat	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects	2024	Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin Yong Liu James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song
+ PDF Chat	Foundation Models for Time Series Analysis: A Tutorial and Survey	2024	Yuxuan Liang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen
+ PDF Chat	Online GNN Evaluation Under Test-time Graph Distribution Shifts	2024	Xin Zheng Dongjin Song Qingsong Wen Bo Du Shirui Pan
+ PDF Chat	$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting	2024	Zijie Pan Yushan Jiang Sahil Garg Anderson Schneider Yuriy Nevmyvaka Dongjin Song
+ PDF Chat	Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference	2024	Binghao Lu Caiwen Ding Jinbo Bi Dongjin Song
+ PDF Chat	Structural Knowledge Informed Continual Multivariate Time Series Forecasting	2024	Zijie Pan Yushan Jiang Dongjin Song Sahil Garg Kashif Rasul Anderson Schneider Yuriy Nevmyvaka
+ PDF Chat	Continual Learning on Graphs: Challenges, Solutions, and Opportunities	2024	Xikun Zhang Dongjin Song Dacheng Tao
+ PDF Chat	Empowering Time Series Analysis with Large Language Models: A Survey	2024	Yushan Jiang Zijie Pan Xikun Zhang Sahil Garg Anderson Schneider Yuriy Nevmyvaka Dongjin Song
+ PDF Chat	Rank Supervised Contrastive Learning for Time Series Classification	2024	Qianying Ren Dongsheng Luo Dongjin Song
+	Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements	2024	Jiahui Zhao Ziyi Meng Stepan Gordeev Zijie Pan Dongjin Song Sandro Steinbach Caiwen Ding
+	Topology-aware Embedding Memory for Learning on Expanding Graphs	2024	Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao
+ PDF Chat	Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles	2023	Muzi Peng Jiangwei Wang Dongjin Song Fei Miao Lili Su
+	Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing	2023	Jiangwei Wang Lili Su Songyang Han Dongjin Song Fei Miao
+	Tutorials at The Web Conference 2023	2023	Valeria Fionda Olaf Hartig Reyhaneh Abdolazimi Sihem Amer-Yahia Hongzhi Chen Xiao Chen Peng Cui Jeff Dalton Xin Luna Dong Lisette Espín-Noboa
+	Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles	2023	Muzi Peng Jiangwei Wang Dongjin Song Fei Miao Lili Su
+	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects	2023	Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin Yong Liu James Zhang Yuxuan Liang Guansong Pang Dongjin Song
+	Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis	2023	Yang Jiao Kai Yang Dongjin Song
+	Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing	2023	Jiangwei Wang Lili Su Songyang Han Dongjin Song Fei Miao
+ PDF Chat	Deep Federated Anomaly Detection for Multivariate Time Series Data	2022	Wei Zhu Dongjin Song Yuncong Chen Wei Cheng Bo Zong Takehiko Mizoguchi Cristian Lumezanu Haifeng Chen Jiebo Luo
+ PDF Chat	Hierarchical Prototype Networks for Continual Graph Representation Learning	2022	Xikun Zhang Dongjin Song Dacheng Tao
+	Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series	2022	Jurijs Nazarovs Cristian Lumezanu Qianying Ren Yuncong Chen Takehiko Mizoguchi Dongjin Song Haifeng Chen
+	Deep Federated Anomaly Detection for Multivariate Time Series Data	2022	Wei Zhu Dongjin Song Yuncong Chen Wei Cheng Bo Zong Takehiko Mizoguchi Cristian Lumezanu Haifeng Chen Jiebo Luo
+	Distributed Distributionally Robust Optimization with Non-Convex Objectives	2022	Yang Jiao Kai Yang Dongjin Song
+	Asynchronous Distributed Bilevel Optimization	2022	Yang Jiao Kai Yang Tiancheng Wu Dongjin Song Chengtao Jian
+ PDF Chat	Hierarchical Prototype Networks for Continual Graph Representation Learning	2021	Xikun Zhang Dongjin Song Dacheng Tao
+ PDF Chat	Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection	2021	Xinyang Feng Dongjin Song Yuncong Chen Zhengzhang Chen Jingchao Ni Haifeng Chen
+ PDF Chat	FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems	2021	Liang Tong Zhengzhang Chen Jingchao Ni Wei Cheng Dongjin Song Haifeng Chen Yevgeniy Vorobeychik
+ PDF Chat	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series	2021	Yinjun Wu Jingchao Ni Wei Cheng Bo Zong Dongjin Song Zhengzhang Chen Yanchi Liu Xuchao Zhang Haifeng Chen Susan B. Davidson
+ PDF Chat	FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems	2021	Liang Tong Zhengzhang Chen Jingchao Ni Wei Cheng Dongjin Song Haifeng Chen Yevgeniy Vorobeychik
+ PDF Chat	Unsupervised Document Embedding via Contrastive Augmentation	2021	Dongsheng Luo Wei Cheng Jingchao Ni Wenchao Yu Xuchao Zhang Bo Zong Yanchi Liu Zhengzhang Chen Dongjin Song Haifeng Chen
+	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series	2021	Yinjun Wu Jingchao Ni Wei Cheng Bo Zong Dongjin Song Zhengzhang Chen Yanchi Liu Xuchao Zhang Haifeng Chen Susan B. Davidson
+	Unsupervised Document Embedding via Contrastive Augmentation	2021	Dongsheng Luo Wei Cheng Jingchao Ni Wenchao Yu Xuchao Zhang Bo Zong Yanchi Liu Zhengzhang Chen Dongjin Song Haifeng Chen
+	FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems	2021	Liang Tong Zhengzhang Chen Jingchao Ni Wei Cheng Dongjin Song Haifeng Chen Yevgeniy Vorobeychik
+	Hierarchical Prototype Networks for Continual Graph Representation Learning	2021	Xikun Zhang Dongjin Song Dacheng Tao
+ PDF Chat	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation	2020	Xin Dong Jingchao Ni Wei Cheng Zhengzhang Chen Bo Zong Dongjin Song Yanchi Liu Haifeng Chen Gerard de Melo
+	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation	2020	Xin Dong Jingchao Ni Wei Cheng Zhengzhang Chen Bo Zong Dongjin Song Yanchi Liu Haifeng Chen Gerard de Melo
+	TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series	2020	Yang Jiao Kai Yang Shaoyu Dou Pan Luo Sijia Liu Dongjin Song
+ PDF Chat	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data	2019	Chuxu Zhang Dongjin Song Yuncong Chen Xinyang Feng Cristian Lumezanu Wei Cheng Jingchao Ni Bo Zong Haifeng Chen Nitesh V. Chawla
+	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data	2018	Chuxu Zhang Dongjin Song Yuncong Chen Xinyang Feng Cristian Lumezanu Wei Cheng Jingchao Ni Bo Zong Haifeng Chen Nitesh V. Chawla
+	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	2017	Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang Garrison W. Cottrell
+	Exemplar-centered Supervised Shallow Parametric Data Embedding	2017	Martin Renqiang Min Hongyu Guo Dongjin Song
+	Exemplar-Centered Supervised Shallow Parametric Data Embedding	2017	Martin Renqiang Min Hongyu Guo Dongjin Song
+	Detecting Low Rating Android Apps Before They Have Reached the Market	2017	Li Ding Dongjin Song
+	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	2017	Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang Garrison W. Cottrell
+	A Shallow High-Order Parametric Approach to Data Visualization and Compression	2016	Martin Renqiang Min Hongyu Guo Dongjin Song
+	A model of consistent node types in signed directed social networks	2014	Dongjin Song David Meyer
+ PDF Chat	A model of consistent node types in signed directed social networks	2014	Dongjin Song David Meyer
+	A Model of Consistent Node Types in Signed Directed Social Networks	2014	Dongjin Song David Meyer

Common Coauthors

Coauthor	Papers Together
Wei Cheng	13
Jingchao Ni	12
Zhengzhang Chen	10
Yushan Jiang	8
Haifeng Chen	8
Bo Zong	8
Haifeng Chen	7
Yanchi Liu	6
Yuncong Chen	6
Zijie Pan	5
Dacheng Tao	5
Cristian Lumezanu	5
Shirui Pan	5
Qingsong Wen	5
Sahil Garg	4
Xikun Zhang	4
Xikun Zhang	4
Kai Yang	4
Ming Jin	4
Yuxuan Liang	4
Anderson Schneider	4
Yuriy Nevmyvaka	4
Xuchao Zhang	4
Jiangwei Wang	4
Takehiko Mizoguchi	3
Martin Renqiang Min	3
Caiwen Ding	3
Xinyang Feng	3
David Meyer	3
Lili Su	3
Yevgeniy Vorobeychik	3
Dongsheng Luo	3
Liang Tong	2
Fei Miao	2
Chuxu Zhang	2
Dacheng Tao	2
Stepan Gordeev	2
Xiang Zhang	2
Xin Dong	2
Garrison W. Cottrell	2
Gerard de Melo	2
Fei Miao	2
Nitesh V. Chawla	2
Qianying Ren	2
Rongyao Cai	2
Muzi Peng	2
Yao Qin	2
Sandro Steinbach	2
Jiebo Luo	2
Yang Jiao	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	4
+	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	2017	Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang Garrison W. Cottrell	4
+ PDF Chat	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data	2019	Chuxu Zhang Dongjin Song Yuncong Chen Xinyang Feng Cristian Lumezanu Wei Cheng Jingchao Ni Bo Zong Haifeng Chen Nitesh V. Chawla	4
+	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	2017	Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang Garrison W. Cottrell	4
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo	4
+	Factorized sparse learning models with interpretable high order feature interactions	2014	Sanjay Purushotham Martin Renqiang Min C.‐C. Jay Kuo Rachel Ostroff	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	3
+	XLNet: Generalized Autoregressive Pretraining for Language Understanding	2019	Zhilin Yang Zihang Dai Yiming Yang Jaime Carbonell Ruslan Salakhutdinov Quoc V. Le	3
+ PDF Chat	Recurrent Neural Networks for Multivariate Time Series with Missing Values	2018	Zhengping Che Sanjay Purushotham Kyunghyun Cho David Sontag Yan Liu	3
+ PDF Chat	Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values	2020	Xianfeng Tang Huaxiu Yao Yiwei Sun Charu C. Aggarwal Prasenjit Mitra Suhang Wang	3
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	2
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	2
+ PDF Chat	Integrated pre-processing for Bayesian nonlinear system identification with Gaussian processes	2013	Roger Frigola Carl Edward Rasmussen	2
+	FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling	2018	Jie Chen Tengfei Ma Cao Xiao	2
+ PDF Chat	Memory Aware Synapses: Learning What (not) to Forget	2018	Rahaf Aljundi Francesca Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars	2
+	Neural ordinary differential equations	2018	Ricky T. Q. Chen Yulia Rubanova Jesse Bettencourt David Duvenaud	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+ PDF Chat	Empirical comparison of algorithms for network community detection	2010	Jure Leskovec Kevin Lang Michael W. Mahoney	2
+	RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism	2016	Edward Choi Mohammad Taha Bahadori Jimeng Sun Joshua A. Kulas Andy Schuetz Walter F. Stewart	2
+ PDF Chat	Large Scale Incremental Learning	2019	Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Yun Fu	2
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	2
+	Outlier detection using k-nearest neighbour graph	2004	Ville Hautamäki Ismo Kärkkäinen Pasi Fränti	2
+	Lifelong Learning with Dynamically Expandable Networks	2017	Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang	2
+ PDF Chat	Signed networks in social media	2010	Jure Leskovec Daniel P. Huttenlocher Jon Kleinberg	2
+ PDF Chat	Toward Supervised Anomaly Detection	2013	Nico Goernitz Michael Kloft Konrad Rieck Ulf Brefeld	2
+	A Better Alternative to Piecewise Linear Time Series Segmentation	2006	Daniel Lemire	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+	Discovering cluster-based local outliers	2003	Zengyou He Xiaofei Xu Shengchun Deng	2
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	2
+	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	2017	Yaguang Li Rose Yu Cyrus Shahabi Yan Liu	2
+ PDF Chat	Predicting positive and negative links in online social networks	2010	Jure Leskovec Daniel P. Huttenlocher Jon Kleinberg	2
+	Feature bagging for outlier detection	2005	Aleksandar Lazarević Vipin Kumar	2
+	Attentive Pooling Networks	2016	Cícero Nogueira dos Santos Ming Tan Bing Xiang Bowen Zhou	2
+ PDF Chat	Multiple imputation by chained equations: what is it and how does it work?	2011	Melissa Azur Elizabeth A. Stuart Constantine Frangakis Philip J. Leaf	2
+	Self-Normalizing Neural Networks	2017	Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter	2
+	Isolation Forest	2008	Fei Tony Liu Kai Ming Ting Zhi‐Hua Zhou	2
+	On the Properties of Neural Machine Translation: Encoder-Decoder Approaches	2014	Kyunghyun Cho Bart van Merriënboer Dzmitry Bahdanau Yoshua Bengio	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+	Adaptive Feature Abstraction for Translating Video to Language	2016	Yunchen Pu Martin Renqiang Min Zhe Gan Lawrence Carin	2
+ PDF Chat	Outlier Detection in Arbitrarily Oriented Subspaces	2012	Hans‐Peter Kriegel Peer Kröger Erich Schubert Arthur Zimek	2
+ PDF Chat	Deep visual-semantic alignments for generating image descriptions	2015	Andrej Karpathy Li Fei-Fei	2
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	2
+ PDF Chat	The slashdot zoo: mining a social network with negative edges	2009	Jérôme Kunegis Andreas Lommatzsch Christian Bauckhage	2
+ PDF Chat	CosFace: Large Margin Cosine Loss for Deep Face Recognition	2018	Hao Wang Yitong Wang Zheng Zhou Xing Ji Dihong Gong Jingchao Zhou Zhifeng Li Wei Liu	2
+	Modeling Missing Data in Clinical Time Series with RNNs	2016	Zachary C. Lipton David C. Kale Randall C. Wetzel	2
+ PDF Chat	Universal Adversarial Perturbations	2017	Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi Pascal Frossard	2
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2