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2020 – today
- 2024
[j10]Kexin Zhang
, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6775-6794 (2024)- [j9]Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao:
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. ACM Trans. Cyber Phys. Syst. 8(2): 16 (2024) - [c55]Soumyashree Sahoo, Chinmaey Shende, Md. Zakir Hossain, Parit Patel, Xinyu Wang, Md Ishtyaq Mahmud, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang:
Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement. CHASE 2024: 13-24 - [c54]Yiying Wu, Jung-Joo Lee, Ajit G. Pillai, Janghee Cho, Naseem Ahmadpour, Virpi Roto, Thida Sachathep, Jiashuo Liu, Mouna Sawan, Dongjin Song, Martina Caic, Lucas Cheng, Renxuan Liu, Sarah Kettley, Luis Soares, Kazjon Grace, Thomas Astell-Burt:
Collective Imaginaries for the Futures of Care Work. CSCW Companion 2024: 732-735 - [c53]Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan:
Online GNN Evaluation Under Test-time Graph Distribution Shifts. ICLR 2024 - [c52]Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting. ICML 2024 - [c51]Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
Empowering Time Series Analysis with Large Language Models: A Survey. IJCAI 2024: 8095-8103 - [c50]Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao:
Topology-aware Embedding Memory for Continual Learning on Expanding Networks. KDD 2024: 4326-4337 - [c49]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD 2024: 6555-6565 - [c48]Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka:
The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD 2024: 6733-6734 - [c47]Lisha Ye, Jianfeng Zhou, Zhe Yin, Kunpeng Han, Haoyuan Hu, Dongjin Song:
A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System. SDM 2024: 352-360 - [i33]Jiahui Zhao, Ziyi Meng, Stepan Gordeev, Zijie Pan, Dongjin Song, Sandro Steinbach, Caiwen Ding:
Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements. CoRR abs/2401.12520 (2024) - [i32]Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao:
Topology-aware Embedding Memory for Learning on Expanding Graphs. CoRR abs/2401.13200 (2024) - [i31]Qianying Ren, Dongsheng Luo, Dongjin Song:
Rank Supervised Contrastive Learning for Time Series Classification. CoRR abs/2401.18057 (2024) - [i30]Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
Empowering Time Series Analysis with Large Language Models: A Survey. CoRR abs/2402.03182 (2024) - [i29]Xikun Zhang, Dongjin Song, Dacheng Tao:
Continual Learning on Graphs: Challenges, Solutions, and Opportunities. CoRR abs/2402.11565 (2024) - [i28]Zijie Pan, Yushan Jiang, Dongjin Song, Sahil Garg, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka:
Structural Knowledge Informed Continual Multivariate Time Series Forecasting. CoRR abs/2402.12722 (2024) - [i27]Binghao Lu, Caiwen Ding, Jinbo Bi, Dongjin Song:
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference. CoRR abs/2403.05796 (2024) - [i26]Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting. CoRR abs/2403.05798 (2024) - [i25]Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan:
Online GNN Evaluation Under Test-time Graph Distribution Shifts. CoRR abs/2403.09953 (2024) - [i24]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR abs/2403.14735 (2024) - [i23]Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao:
Learning System Dynamics without Forgetting. CoRR abs/2407.00717 (2024) - [i22]Zijie Pan, Stepan Gordeev, Jiahui Zhao, Ziyi Meng, Caiwen Ding, Sandro Steinbach, Dongjin Song:
International Trade Flow Prediction with Bilateral Trade Provisions. CoRR abs/2407.13698 (2024) - 2023
- [j8]Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang:
Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 121:1-121:21 (2023) - [j7]Xikun Zhang, Dongjin Song, Dacheng Tao:
Hierarchical Prototype Networks for Continual Graph Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4622-4636 (2023) - [c46]Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen:
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS 2023: 1-6 - [c45]Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian:
Asynchronous Distributed Bilevel Optimization. ICLR 2023 - [c44]Chang Li, Dongjin Song, Dacheng Tao:
HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings. ICLR 2023 - [c43]Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su:
Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. IROS 2023: 11141-11147 - [c42]Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen:
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD 2023: 1010-1019 - [c41]Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka:
The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD 2023: 5876-5877 - [c40]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i21]Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su:
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles. CoRR abs/2303.04340 (2023) - [i20]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR abs/2306.10125 (2023) - [i19]Yang Jiao, Kai Yang, Dongjin Song:
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis. CoRR abs/2307.14364 (2023) - [i18]Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao:
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. CoRR abs/2309.16716 (2023) - 2022
- [j6]Yang Jiao, Kai Yang, Dongjin Song, Dacheng Tao:
TimeAutoAD: Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series. IEEE Trans. Netw. Sci. Eng. 9(3): 1604-1619 (2022) - [c39]Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo:
Deep Federated Anomaly Detection for Multivariate Time Series Data. IEEE Big Data 2022: 1-10 - [c38]Xikun Zhang, Dongjin Song, Dacheng Tao:
Sparsified Subgraph Memory for Continual Graph Representation Learning. ICDM 2022: 1335-1340 - [c37]Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka:
8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD 2022: 4896-4897 - [c36]Xikun Zhang, Dongjin Song, Dacheng Tao:
CGLB: Benchmark Tasks for Continual Graph Learning. NeurIPS 2022 - [c35]Yang Jiao, Kai Yang, Dongjin Song:
Distributed Distributionally Robust Optimization with Non-Convex Objectives. NeurIPS 2022 - [i17]Jurijs Nazarovs, Cristian Lumezanu, Qianying Ren, Yuncong Chen, Takehiko Mizoguchi, Dongjin Song, Haifeng Chen:
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series. CoRR abs/2201.09907 (2022) - [i16]Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo:
Deep Federated Anomaly Detection for Multivariate Time Series Data. CoRR abs/2205.04041 (2022) - [i15]Yang Jiao, Kai Yang, Dongjin Song:
Distributed Distributionally Robust Optimization with Non-Convex Objectives. CoRR abs/2210.07588 (2022) - [i14]Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian:
Asynchronous Distributed Bilevel Optimization. CoRR abs/2212.10048 (2022) - 2021
- [j5]Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla:
Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. 39(3): 35:1-35:22 (2021) - [c34]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI 2021: 651-659 - [c33]Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang:
Multi-Task Recurrent Modular Networks. AAAI 2021: 10496-10504 - [c32]Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen:
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM 2021: 1366-1375 - [c31]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR 2021: 13254-13263 - [c30]Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen:
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. ACM Multimedia 2021: 5546-5554 - [c29]Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang:
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM 2021: 91-99 - [i13]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR abs/2103.02164 (2021) - [i12]Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang:
Unsupervised Document Embedding via Contrastive Augmentation. CoRR abs/2103.14542 (2021) - [i11]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR abs/2104.04107 (2021) - [i10]Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen:
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. CoRR abs/2107.13720 (2021) - [i9]Xikun Zhang, Dongjin Song, Dacheng Tao:
Hierarchical Prototype Networks for Continual Graph Representation Learning. CoRR abs/2111.15422 (2021) - 2020
- [c28]Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang:
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI 2020: 1395-1402 - [c27]Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen:
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. AAAI 2020: 1403-1411 - [c26]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. AAAI 2020: 7667-7674 - [c25]Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu:
Inductive and Unsupervised Representation Learning on Graph Structured Objects. ICLR 2020 - [c24]Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang:
Robust Graph Representation Learning via Neural Sparsification. ICML 2020: 11458-11468 - [c23]Bo Dong, Cristian Lumezanu, Yuncong Chen, Dongjin Song, Takehiko Mizoguchi, Haifeng Chen, Latifur Khan:
At the Speed of Sound: Efficient Audio Scene Classification. ICMR 2020: 301-305 - [c22]Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang:
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. ECML/PKDD (3) 2020: 330-346 - [i8]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. CoRR abs/2001.04346 (2020) - [i7]Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song:
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series. CoRR abs/2010.01596 (2020)
2010 – 2019
- 2019
- [c21]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. AAAI 2019: 1409-1416 - [c20]Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla:
Heterogeneous Graph Neural Network. KDD 2019: 793-803 - [c19]Chang Li, Dongjin Song, Dacheng Tao:
Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification. KDD 2019: 1141-1151 - [c18]Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Deep Co-Clustering. SDM 2019: 414-422 - 2018
- [c17]Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao:
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. KDD 2018: 2229-2238 - [c16]Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang:
Learning Deep Network Representations with Adversarially Regularized Autoencoders. KDD 2018: 2663-2671 - [i6]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. CoRR abs/1811.08055 (2018) - 2017
- [c15]Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi:
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData 2017: 1357-1362 - [c14]Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang:
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM 2017: 1003-1008 - [c13]Martin Renqiang Min, Hongyu Guo, Dongjin Song:
Exemplar-centered Supervised Shallow Parametric Data Embedding. IJCAI 2017: 2479-2485 - [c12]Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell:
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. IJCAI 2017: 2627-2633 - [i5]Martin Renqiang Min, Hongyu Guo, Dongjin Song:
Exemplar-Centered Supervised Shallow Parametric Data Embedding. CoRR abs/1702.06602 (2017) - [i4]Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell:
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. CoRR abs/1704.02971 (2017) - [i3]Ding Li, Dongjin Song:
Detecting Low Rating Android Apps Before They Have Reached the Market. CoRR abs/1712.05843 (2017) - 2016
- [c11]Dongjin Song, Wei Liu, David A. Meyer:
Fast Structural Binary Coding. IJCAI 2016: 2018-2024 - [i2]Martin Renqiang Min, Hongyu Guo, Dongjin Song:
A Shallow High-Order Parametric Approach to Data Visualization and Compression. CoRR abs/1608.04689 (2016) - 2015
- [j4]Rex W. Douglass, David A. Meyer, Megha Ram, David Rideout, Dongjin Song:
High resolution population estimates from telecommunications data. EPJ Data Sci. 4(1): 4 (2015) - [j3]Dongjin Song, David A. Meyer:
Link sign prediction and ranking in signed directed social networks. Soc. Netw. Anal. Min. 5(1): 52:1-52:14 (2015) - [j2]Dongjin Song, Wei Liu, Tianyi Zhou, Dacheng Tao, David A. Meyer:
Efficient Robust Conditional Random Fields. IEEE Trans. Image Process. 24(10): 3124-3136 (2015) - [c10]Dongjin Song, David A. Meyer:
Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC. AAAI 2015: 290-296 - [c9]Dongjin Song, Wei Liu, David A. Meyer, Dacheng Tao, Rongrong Ji:
Rank Preserving Hashing for Rapid Image Search. DCC 2015: 353-362 - [c8]Dongjin Song, Susu Nousala, Yongqi Lou:
Design Process as Communication Agency for Value Co-Creation in Open Social Innovation Project: - A Case Study of QuYang Community in Shanghai. HCI (12) 2015: 361-371 - [c7]Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith:
Top Rank Supervised Binary Coding for Visual Search. ICCV 2015: 1922-1930 - [c6]Dongjin Song, David A. Meyer, Dacheng Tao:
Top-k Link Recommendation in Social Networks. ICDM 2015: 389-398 - [c5]Dongjin Song, David A. Meyer, Dacheng Tao:
Efficient Latent Link Recommendation in Signed Networks. KDD 2015: 1105-1114 - 2014
- [c4]Dongjin Song, David A. Meyer:
A model of consistent node types in signed directed social networks. ASONAM 2014: 72-80 - [c3]Yongqi Lou, Dongjin Song:
Design for the Public Usage of Rural Surplus Space (PURSS): The Case Study of DEISGN Harvests. HCI (19) 2014: 676-687 - [i1]Dongjin Song, David A. Meyer:
A Model of Consistent Node Types in Signed Directed Social Networks. CoRR abs/1408.6822 (2014) - 2010
- [j1]Dongjin Song, Dacheng Tao:
Biologically Inspired Feature Manifold for Scene Classification. IEEE Trans. Image Process. 19(1): 174-184 (2010)
2000 – 2009
- 2009
- [c2]Dongjin Song, Dacheng Tao:
Discrminative Geometry Preserving Projections. ICIP 2009: 2457-2460 - 2008
- [c1]Dongjin Song, Dacheng Tao:
C1 units for scene classification. ICPR 2008: 1-4
Coauthor Index
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