Publications

Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang
October 2023 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp)

Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data

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Xikun Zhang*, Dongjin Song, Dacheng Tao
August 2023 IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Ricci Curvature based Graph Sparsification for Continual Graph Representation Learning

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Yushan Jiang*, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
August 2023 Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

FedSkill Privacy Preserved Interpretable Skill Learning via Imitation

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Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
June 2023 ACM Transactions on Cyber-Physical Systems (TCPS)

Towards Safe Autonomy in Hybrid Traffic Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing

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Chang Li*, Dongjin Song, Dacheng Tao
May 2023 Proceedings of International Conference on Learning Representations (ICLR)

HiT-MDP Learning the SMDP option framework on MDPs with Hidden Temporal Variables

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Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian
May 2023 Proceedings of International Conference on Learning Representations (ICLR)

Asynchronous Distributed Bilevel Optimization

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Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
February 2023 Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles

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Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen
February 2023 Proceedings of the 57th Annual Conference on Information Sciences and Systems (CISS)

Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation

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Xikun Zhang*, Dongjin Song, Dacheng Tao
December 2022 Proceedings of 36th Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track

CGLB: Benchmark Tasks for Continual Graph Learning

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Yang Jiao, Kai Yang, Dongjin Song
December 2022 Proceedings of 36th Conference on Neural Information Processing Systems (NeurIPS)

Distributed Distributionally Robust Optimization with Non-Convex Objectives

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Xikun Zhang*, Dongjin Song, Dacheng Tao
December 2022 Proceedings of IEEE International Conference on Data Mining (ICDM)

Sparsified Subgraph Memory for Continual Graph Learning

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Wei Zhu*, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong
December 2022 Proceedings of IEEE Big Data

Deep Federated Anomaly Detection for Multivariate Time Series Data

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Xikun Zhang*, Dongjin Song, Dacheng Tao
June 2022 IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)

Hierarchical Prototype Networks for Continual Graph Representation Learning

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Yang Jiao, Kai Yang, Dongjin Song, Dacheng Tao
February 2022 IEEE Transactions on Network Science and Engineering (TNSE)

TimeAutoAD: Autonomous Anomaly Detection with Self-supervised Contrastive Loss for Multivariate Time Series

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Shao-Hao Lu, Mohamadmahdi Samandari, Caihong Li, Huijie Li, Dongjin Song, Yi Zhang, Ali Tamayol, Xueju Wang
January 2022 Sensors and Actuators Reports

Multimodal Sensing and Therapeutic Systems for Wound Healing and Management: A Review

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Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
November 2021 Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM)

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization

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Xinyang Feng*, Dongjin Song, Yuncong Chen, Zhengzheng Chen, Jingchao Ni, Haifeng Chen
October 2021 Proceedings of the 29th ACM International Conference on Multimedia (MM)

Convolutional Transformer based Dual Discriminator General Adversarial Networks for Video Anomaly Detection

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Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
June 2021 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems

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Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
May 2021 Proceedings of SIAM International Conference on Data Mining (SDM)

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection

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Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Meng Jiang, Haifeng Chen, Nitesh V. Chawla
May 2021 ACM Transactions on Information Systems (TOIS)

Inductive Contextual Relation Learning for Personalization

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Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan Davidson
February 2021 Proceedings of the 35th AAAI Conference on Advance of Artificial Intelligence (AAAI)

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series

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Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
February 2021 Proceedings of the 35th AAAI Conference on Advance of Artificial Intelligence (AAAI)

Multi-Task Recurrent Modular Networks

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Bo Dong, Cristian Lumezanu, Yuncong Chen, Dongjin Song, Takehiko Mizoguchi, Haifeng Chen, Latifur Khan
October 2020 Proceedings of ACM International Conference on Multimedia Retrieval (ICMR)

At the speed of sound efficient audio scene classification

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Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
September 2020 Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

Node Classification in Temporal Graphs through Stochastic Sparsification and Temporal Structural Convolution

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Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
July 2020 Proceedings of the 37th International Conference on Machine Learning (ICML)

Robust Graph Representation Learning via Neural Sparsification

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Licheng Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu
April 2020 Proceedings of International Conference on Learning Representations (ICLR)

Inductive and Unsupervised Representation Learning on Graph Structured Objects

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Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
February 2020 Proceedings of the 34th AAAI Conference on Advance of Artificial Intelligence (AAAI)

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series

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Dixian Zhu*, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
February 2020 Proceedings of the 34th AAAI Conference on Advance of Artificial Intelligence (AAAI)

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval

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Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
February 2020 Proceedings of the 34th AAAI Conference on Advance of Artificial Intelligence (AAAI)

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-based Recommendation

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Chang Li*, Dongjin Song, Dacheng Tao
August 2019 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

Multi-task Recurrent Neural Network and Higher-order Markov Random Fields for Stock Price Prediction

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Chuxu Zhang*, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla
August 2019 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

Heterogeneous Graph Neural Network

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Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Xiang Zhang, Haifeng Chen
May 2019 Proceedings of SIAM International Conference on Data Mining (SDM)

Deep Co-Clustering

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Chuxu Zhang*, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Haifeng Chen, Nitesh Chawla
January 2019 Proceedings of the 33rd AAAI Conference on Advance of Artificial Intelligence (AAAI)

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

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Wenchao Yu, Cheng Zhen, Wei Cheng, Charu Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
August 2018 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

Learning Deep Network Representations with Adversarially Regularized Autoencoders

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Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao
August 2018 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

Deep r-th Root of Rank Supervised Binary Embedding for Multivariate Time Series Retrieval

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Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Guofei Jiang, JinboBi
December 2017 Proceedings of IEEE Big Data

Learning Structured and Interpretable Nonlinear Relationship in Complex Physical Systems

Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
November 2017 Proceedings of IEEE International Conference on Data Mining (ICDM)

Identifying Multiple Causal Anomalies by Modeling Local Propagations

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Renqiang Min, Hongyu Guo, Dongjin Song
August 2017 Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI)

Exemplar-Centered Supervised Shallow Para-metric Data Embedding

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Yao Qin*, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrel
August 2017 Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI)

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

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Dongjin Song, Wei Liu, David A. Meyer
July 2016 Proceedings of International Joint Conference on Artificial Intelligence (IJCAI)

Fast Structural Binary Coding

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Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
December 2015 Proceedings of the IEEE International Conference on Computer Vision (ICCV)

Top Rank Supervised Binary Coding for Visual Search

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Dongjin Song, David A. Meyer, Dacheng Tao
November 2015 Proceedings of the IEEE International Conference on Data Mining (ICDM)

Top-k Link Recommendation in Social Networks

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Dongjin Song, David A. Meyer, Dacheng Tao
August 2015 Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

Efficient Latent Link Recommendation in Signed Networks

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Dongjin Song, Wei Liu, David A. Meyer, Dacheng Tao, Rongrong Ji
April 2015 Proceedings of Data Compression Conference (DCC)

Rank Preserving Hashing for Rapid Image Search

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Dongjin Song, David A. Meyer
January 2015 Proceedings of 29th AAAI Conference on Artificial Intelligence (AAAI)

Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC

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Dongjin Song, David A. Meyer
January 2015 Social Networks Analysis and Mining (SNAM)

Link Sign Prediction and Ranking in Signed Directed Social Networks

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Rex Douglass, David A. Meyer, Megha Ram, David Rideout, Dongjin Song
January 2015 EPJ Data Science

High Resolution Population Estimates from Telecommunications Data

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Dongjin Song, Wei Liu, Tianyi Zhou, Dacheng Tao, David A. Meyer
January 2015 IEEE Transactions on Image Processing (T-IP)

Efficient Robust Conditional Random Fields

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Dongjin Song, David A. Meyer, Martin Renqiang Min
December 2014 NIPS Workshop on Optimization for Machine Learning (OPT)

Fast Nonnegative Matrix Factorization with Rank-one ADMM

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Dongjin Song, David A. Meyer
August 2014 Proceedings of IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM)

A Model of Consistent Node Types in Signed Directed Social Networks

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Orest Bucicovschi, Rex W. Douglass, David A. Meyer, Megha Ram, David Rideout, Dongjin Song
May 2013 Netmob special session on Data for Development (D4D) Data Challenge

Analyzing Social Divisions Using Cell Phone Data

Dongjin Song, Dacheng Tao
January 2010 IEEE Transactions on Image Processing (T-IP)

Biologically Inspired Feature Manifold for Scene Classification

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Dongjin Song, Dacheng Tao
November 2009 Proceedings of IEEE International Conference on Image Processing (ICIP)

Discriminative Geometry Preserving Projections

Dongjin Song, Dacheng Tao
December 2008 Proceedings of the 19th IEEE International Conference of Pattern Recognition (ICPR)

C1 Units for Scene Classification