Dongjin Song - RankMe

129 papers A* 39A 5B 8C 1Misc 1Journal 64Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning. Trans. Mach. Learn. Res. Xuyang Shen, Zijie Pan, Diego Cerrai, Xinxuan Zhang, Christopher Colorio, Emmanouil Anagnostou, Dongjin Song
2026	J	`jnl`	Federated Distributionally Robust Optimization With Non-Convex Objectives: Algorithm and Analysis. IEEE Trans. Mob. Comput. Yang Jiao, Kai Yang, Dongjin Song
2026	J	`jnl`	Learning Feature Encoder With Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. Yingjie Zhou, Yuqin Xie, Fanxing Liu, Dongjin Song, Ce Zhu, Lingqiao Liu
2025	—	`conf`	A Comprehensive Study of the Influence of Social Capital on the Traditional Chinese Medicine Health Literacy (TCMHL) of the Elderly in Aged Communities and the Relevant Interventions. HCI (20) Dongjin Song, Yingquan Yang, Aoxue Liu, YiXi WangMu
2025	C	`conf`	Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing. ICMLA Juan Manuel Perez, Kevin Garcia, Brooklyn Berry, Dongjin Song, Yifeng Gao
2025	J	`jnl`	Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing. CoRR Juan Manuel Perez, Kevin Garcia, Brooklyn Berry, Dongjin Song, Yifeng Gao
2025	J	`jnl`	Continual Learning to Generalize Forwarding Strategies for Diverse Mobile Wireless Networks. CoRR Cheonjin Park, Victoria Manfredi, Xiaolan Zhang, Chengyi Liu, Alicia P. Wolfe, Dongjin Song, Sarah Tasneem, Bing Wang
2025	J	`jnl`	Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones. CoRR Soumyashree Sahoo, Chinmaey Shende, Md. Zakir Hossain, Parit Patel, Yushuo Niu, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Qian Yang, Bing Wang
2025	J	`jnl`	Early GVHD Prediction in Liver Transplantation via Multi-Modal Deep Learning on Imbalanced EHR Data. CoRR Yushan Jiang, Shuteng Niu, Dongjin Song, Yichen Wang, Jingna Feng, Xinyue Hu, Liu Yang, Cui Tao
2025	J	`jnl`	Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop. CoRR Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen
2025	J	`jnl`	FTSCommDetector: Discovering Behavioral Communities through Temporal Synchronization. CoRR Tianyang Luo, Xikun Zhang, Dongjin Song
2025	J	`jnl`	From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting. CoRR Xin Cao, Qinghua Tao, Yingjie Zhou, Lu Zhang, Le Zhang, Dongjin Song, Dapeng Oliver Wu, Ce Zhu
2025	J	`jnl`	From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting. IEEE Trans. Instrum. Meas. Xin Cao, Qinghua Tao, Yingjie Zhou, Lu Zhang, Le Zhang, Dongjin Song, Dapeng Oliver Wu, Ce Zhu
2025	J	`jnl`	From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? CoRR Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Zhigang Deng, Qingsong Wen, Jingchao Ni
2025	A*	`conf`	Harnessing Vision Models for Time Series Analysis: A Survey. IJCAI Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025	J	`jnl`	Harnessing Vision Models for Time Series Analysis: A Survey. CoRR Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025	A*	`conf`	Learning system dynamics without forgetting. ICLR Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao
2025	J	`jnl`	Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting. CoRR ChengAo Shen, Wenchao Yu, Ziming Zhao, Dongjin Song, Wei Cheng, Haifeng Chen, Jingchao Ni
2025	—	`conf`	Multi-modal Time Series Analysis: A Tutorial and Survey. KDD (2) Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song
2025	J	`jnl`	Multi-modal Time Series Analysis: A Tutorial and Survey. CoRR Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song
2025	J	`jnl`	ProvAudit: Enhance High-Level Privacy Inference Through System Provenance Data. IEEE Trans. Dependable Secur. Comput. Ding Li, Jifan Xiao, Peng Jiang, Jiaping Gui, Dongjin Song, Yun Ma, Gang Huang, Xuanzhe Liu
2025	J	`jnl`	SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters. CoRR ChengAo Shen, Ziming Zhao, Hanghang Tong, Dongjin Song, Dongsheng Luo, Qingsong Wen, Jingchao Ni
2025	B	`conf`	Smartphone Data Gathered Early in Depression Treatment Predicts Treatment Outcome. CHASE Soumyashree Sahoo, Md. Zakir Hossain, Chinmaey Shende, Parit Patel, Xinyu Wang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang
2025	J	`jnl`	TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster. CoRR Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song
2025	—	`conf`	The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs. KDD (2) Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2025	—	`conf`	The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. WWW (Companion Volume) Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen
2025	J	`jnl`	Towards Heterogeneous Continual Graph Learning via Meta-knowledge Distillation. CoRR Guiquan Sun, Xikun Zhang, Jingchao Ni, Dongjin Song
2025	—	`conf`	Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision. ICDM (Workshops) Kanghui Ning, Zijie Pan, Yushan Jiang, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song
2025	J	`jnl`	Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision. CoRR Kanghui Ning, Zijie Pan, Yushan Jiang, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song
2024	A	`conf`	A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System. SDM Lisha Ye, Jianfeng Zhou, Zhe Yin, Kunpeng Han, Haoyuan Hu, Dongjin Song
2024	—	`conf`	Collective Imaginaries for the Futures of Care Work. CSCW Companion 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
2024	J	`jnl`	Continual Learning on Graphs: Challenges, Solutions, and Opportunities. CoRR Xikun Zhang, Dongjin Song, Dacheng Tao
2024	A*	`conf`	Empowering Time Series Analysis with Large Language Models: A Survey. IJCAI Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song
2024	J	`jnl`	Empowering Time Series Analysis with Large Language Models: A Survey. CoRR Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song
2024	A*	`conf`	Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	J	`jnl`	Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	J	`jnl`	International Trade Flow Prediction with Bilateral Trade Provisions. CoRR Zijie Pan, Stepan Gordeev, Jiahui Zhao, Ziyi Meng, Caiwen Ding, Sandro Steinbach, Dongjin Song
2024	J	`jnl`	Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements. CoRR Jiahui Zhao, Ziyi Meng, Stepan Gordeev, Zijie Pan, Dongjin Song, Sandro Steinbach, Caiwen Ding
2024	J	`jnl`	Learning System Dynamics without Forgetting. CoRR Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao
2024	A*	`conf`	Online GNN Evaluation Under Test-time Graph Distribution Shifts. ICLR Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
2024	J	`jnl`	Online GNN Evaluation Under Test-time Graph Distribution Shifts. CoRR Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
2024	A*	`conf`	Rank Supervised Contrastive Learning for Time Series Classification. ICDM Qianying Ren, Dongsheng Luo, Dongjin Song
2024	J	`jnl`	Rank Supervised Contrastive Learning for Time Series Classification. CoRR Qianying Ren, Dongsheng Luo, Dongjin Song
2024	J	`jnl`	Ricci Curvature-Based Graph Sparsification for Continual Graph Representation Learning. IEEE Trans. Neural Networks Learn. Syst. Xikun Zhang, Dongjin Song, Dacheng Tao
2024	J	`jnl`	S CoRR Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song
2024	A*	`conf`	S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting. ICML Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song
2024	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2024	J	`jnl`	Structural Knowledge Informed Continual Multivariate Time Series Forecasting. CoRR Zijie Pan, Yushan Jiang, Dongjin Song, Sahil Garg, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka
2024	A*	`conf`	The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2024	A*	`conf`	Topology-aware Embedding Memory for Continual Learning on Expanding Networks. KDD Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao
2024	J	`jnl`	Topology-aware Embedding Memory for Learning on Expanding Graphs. CoRR Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao
2024	J	`jnl`	Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. ACM Trans. Cyber Phys. Syst. Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
2024	B	`conf`	Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement. CHASE Soumyashree Sahoo, Chinmaey Shende, Md. Zakir Hossain, Parit Patel, Xinyu Wang, Md Ishtyaq Mahmud, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang
2024	J	`jnl`	Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference. CoRR Binghao Lu, Caiwen Ding, Jinbo Bi, Dongjin Song
2023	A*	`conf`	Asynchronous Distributed Bilevel Optimization. ICLR Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian
2023	A*	`conf`	FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis. CoRR Yang Jiao, Kai Yang, Dongjin Song
2023	A*	`conf`	HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings. ICLR Chang Li, Dongjin Song, Dacheng Tao
2023	J	`jnl`	Hierarchical Prototype Networks for Continual Graph Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Xikun Zhang, Dongjin Song, Dacheng Tao
2023	Misc	`conf`	Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang
2023	A	`conf`	Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. IROS Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
2023	J	`jnl`	Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles. CoRR Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
2023	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2023	A*	`conf`	The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
2023	J	`jnl`	Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. CoRR Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) 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 R. 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
2022	A*	`conf`	8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
2022	J	`jnl`	Asynchronous Distributed Bilevel Optimization. CoRR Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian
2022	A*	`conf`	CGLB: Benchmark Tasks for Continual Graph Learning. NeurIPS Xikun Zhang, Dongjin Song, Dacheng Tao
2022	B	`conf`	Deep Federated Anomaly Detection for Multivariate Time Series Data. IEEE Big Data Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
2022	J	`jnl`	Deep Federated Anomaly Detection for Multivariate Time Series Data. CoRR Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
2022	A*	`conf`	Distributed Distributionally Robust Optimization with Non-Convex Objectives. NeurIPS Yang Jiao, Kai Yang, Dongjin Song
2022	J	`jnl`	Distributed Distributionally Robust Optimization with Non-Convex Objectives. CoRR Yang Jiao, Kai Yang, Dongjin Song
2022	J	`jnl`	Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series. CoRR Jurijs Nazarovs, Cristian Lumezanu, Qianying Ren, Yuncong Chen, Takehiko Mizoguchi, Dongjin Song, Haifeng Chen
2022	A*	`conf`	Sparsified Subgraph Memory for Continual Graph Representation Learning. ICDM Xikun Zhang, Dongjin Song, Dacheng Tao
2022	J	`jnl`	TimeAutoAD: Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series. IEEE Trans. Netw. Sci. Eng. Yang Jiao, Kai Yang, Dongjin Song, Dacheng Tao
2021	A*	`conf`	Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. ACM Multimedia Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
2021	J	`jnl`	Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. CoRR Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
2021	A	`conf`	Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
2021	A*	`conf`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021	A*	`conf`	FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021	J	`jnl`	Hierarchical Prototype Networks for Continual Graph Representation Learning. CoRR Xikun Zhang, Dongjin Song, Dacheng Tao
2021	J	`jnl`	Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla
2021	A	`conf`	Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
2021	A*	`conf`	Multi-Task Recurrent Modular Networks. AAAI Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
2021	J	`jnl`	Unsupervised Document Embedding via Contrastive Augmentation. CoRR Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
2020	A*	`conf`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	J	`jnl`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	B	`conf`	At the Speed of Sound: Efficient Audio Scene Classification. ICMR Bo Dong, Cristian Lumezanu, Yuncong Chen, Dongjin Song, Takehiko Mizoguchi, Haifeng Chen, Latifur Khan
2020	A*	`conf`	Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. AAAI Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
2020	A*	`conf`	Inductive and Unsupervised Representation Learning on Graph Structured Objects. ICLR Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu
2020	—	`conf`	Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. ECML/PKDD (3) Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020	A*	`conf`	Robust Graph Representation Learning via Neural Sparsification. ICML Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020	A*	`conf`	Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
2020	J	`jnl`	TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series. CoRR Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song
2019	A*	`conf`	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. AAAI Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2019	A	`conf`	Deep Co-Clustering. SDM Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2019	A*	`conf`	Heterogeneous Graph Neural Network. KDD Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla
2019	A*	`conf`	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 Chang Li, Dongjin Song, Dacheng Tao
2018	J	`jnl`	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. CoRR Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2018	A*	`conf`	Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. KDD Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao
2018	A*	`conf`	Learning Deep Network Representations with Adversarially Regularized Autoencoders. KDD Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
2017	A*	`conf`	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. IJCAI Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
2017	J	`jnl`	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. CoRR Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
2017	J	`jnl`	Detecting Low Rating Android Apps Before They Have Reached the Market. CoRR Ding Li, Dongjin Song
2017	J	`jnl`	Exemplar-Centered Supervised Shallow Parametric Data Embedding. CoRR Martin Renqiang Min, Hongyu Guo, Dongjin Song
2017	A*	`conf`	Exemplar-centered Supervised Shallow Parametric Data Embedding. IJCAI Martin Renqiang Min, Hongyu Guo, Dongjin Song
2017	—	`conf`	Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi
2017	A*	`conf`	Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
2016	J	`jnl`	A Shallow High-Order Parametric Approach to Data Visualization and Compression. CoRR Martin Renqiang Min, Hongyu Guo, Dongjin Song
2016	A*	`conf`	Fast Structural Binary Coding. IJCAI Dongjin Song, Wei Liu, David A. Meyer
2015	—	`conf`	Design Process as Communication Agency for Value Co-Creation in Open Social Innovation Project: - A Case Study of QuYang Community in Shanghai. HCI (12) Dongjin Song, Susu Nousala, Yongqi Lou
2015	A*	`conf`	Efficient Latent Link Recommendation in Signed Networks. KDD Dongjin Song, David A. Meyer, Dacheng Tao
2015	J	`jnl`	Efficient Robust Conditional Random Fields. IEEE Trans. Image Process. Dongjin Song, Wei Liu, Tianyi Zhou, Dacheng Tao, David A. Meyer
2015	J	`jnl`	High resolution population estimates from telecommunications data. EPJ Data Sci. Rex W. Douglass, David A. Meyer, Megha Ram, David Rideout, Dongjin Song
2015	J	`jnl`	Link sign prediction and ranking in signed directed social networks. Soc. Netw. Anal. Min. Dongjin Song, David A. Meyer
2015	B	`conf`	Rank Preserving Hashing for Rapid Image Search. DCC Dongjin Song, Wei Liu, David A. Meyer, Dacheng Tao, Rongrong Ji
2015	A*	`conf`	Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC. AAAI Dongjin Song, David A. Meyer
2015	A*	`conf`	Top Rank Supervised Binary Coding for Visual Search. ICCV Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
2015	A*	`conf`	Top-k Link Recommendation in Social Networks. ICDM Dongjin Song, David A. Meyer, Dacheng Tao
2014	J	`jnl`	A Model of Consistent Node Types in Signed Directed Social Networks. CoRR Dongjin Song, David A. Meyer
2014	B	`conf`	A model of consistent node types in signed directed social networks. ASONAM Dongjin Song, David A. Meyer
2014	—	`conf`	Design for the Public Usage of Rural Surplus Space (PURSS): The Case Study of DEISGN Harvests. HCI (19) Yongqi Lou, Dongjin Song
2010	J	`jnl`	Biologically Inspired Feature Manifold for Scene Classification. IEEE Trans. Image Process. Dongjin Song, Dacheng Tao
2009	B	`conf`	Discrminative Geometry Preserving Projections. ICIP Dongjin Song, Dacheng Tao
2008	B	`conf`	C1 units for scene classification. ICPR Dongjin Song, Dacheng Tao