Bin Yang - RankMe

254 papers A* 51A 9B 19Journal 152Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. ACM Comput. Surv. Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Shirui Pan, Qingsong Wen
2026	J	`jnl`	CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter. CoRR Hanyin Cheng, Xingjian Wu, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2026	J	`jnl`	Empowering Time Series Analysis with Large-Scale Multimodal Pretraining. CoRR Peng Chen, Siyuan Wang, Shiyan Hu, Xingjian Wu, Yang Shu, Zhongwen Rao, Meng Wang, Yijie Li, Bin Yang, Chenjuan Guo
2026	A*	`conf`	Evolving Proxy Kills Drift: Data-Efficient Streaming Time Series Anomaly Detection. WWW Qing Wei, Hao Miao, Yan Zhao, Kai Zheng, Bin Yang, Volker Markl, Christian S. Jensen
2026	J	`jnl`	GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables. CoRR Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang
2026	J	`jnl`	Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models. CoRR Siru Zhong, Junjie Qiu, Yangyu Wu, Yiqiu Liu, Yuanpeng He, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang
2026	J	`jnl`	LightGTS-Cov: Covariate-Enhanced Time Series Forecasting. CoRR Yong Shang, Zhipeng Yao, Ning Jin, Xiangfei Qiu, Hui Zhang, Bin Yang
2026	J	`jnl`	LightTR+: A Lightweight Incremental Framework for Federated Trajectory Recovery. IEEE Trans. Knowl. Data Eng. Hao Miao, Ziqiao Liu, Yan Zhao, Chenxi Liu, Chenjuan Guo, Bin Yang, Kai Zheng, Huan Li, Christian S. Jensen
2026	J	`jnl`	MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs. CoRR Zhi Lei, Chenxi Liu, Hao Miao, Wanghui Qiu, Bin Yang, Chenjuan Guo
2026	—	`conf`	MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction. KDD (1) Ronghui Xu, Jihao Chen, Jindong Tian, Chenjuan Guo, Bin Yang
2026	J	`jnl`	PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering. CoRR Junkai Lu, Peng Chen, Xingjian Wu, Yang Shu, Chenjuan Guo, Christian S. Jensen, Bin Yang
2026	A*	`conf`	Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline. AAAI Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang
2026	J	`jnl`	SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement. CoRR Xiangfei Qiu, Xvyuan Liu, Tianen Shen, Xingjian Wu, Hanyin Cheng, Bin Yang, Jilin Hu
2026	J	`jnl`	ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies. CoRR Xingjian Wu, Xvyuan Liu, Junkai Lu, Siyuan Wang, Xiangfei Qiu, Yang Shu, Jilin Hu, Chenjuan Guo, Bin Yang
2026	J	`jnl`	TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation. CoRR Xingjian Wu, Junkai Lu, Zhe Li, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Christian S. Jensen, Bin Yang
2026	J	`jnl`	Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction. CoRR Shiyan Hu, Jianxin Jin, Yang Shu, Peng Chen, Bin Yang, Chenjuan Guo
2026	A*	`conf`	Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing. AAAI Junkai Lu, Peng Chen, Chenjuan Guo, Yang Shu, Meng Wang, Bin Yang
2026	J	`jnl`	UCL-Blocker: Unsupervised contrastive learning with multi-granularity dynamic fusion for entity blocking. Appl. Soft Comput. Yupeng Cao, Niannian Shi, Yaxin Wei, Shumei Liu, Chenchen Sun, Bin Yang, Yisheng An
2026	J	`jnl`	Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting. CoRR Siyuan Wang, Peng Chen, Yihang Wang, Wanghui Qiu, Chenjuan Guo, Bin Yang, Yang Shu
2026	A	`conf`	Waterlogformer: A Multimodal Model for Waterlogging Prediction. WSDM Yinan Chen, Ronghui Xu, Endai Shu, Chenjuan Guo, Bin Yang
2025	A*	`conf`	AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation. ICDE Xiuwen Li, Qifeng Cai, Yang Shu, Chenjuan Guo, Bin Yang
2025	J	`jnl`	ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting. CoRR Jindong Tian, Yifei Ding, Ronghui Xu, Hao Miao, Chenjuan Guo, Bin Yang
2025	J	`jnl`	ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting. CoRR Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu
2025	A*	`conf`	AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. ICDE Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo
2025	J	`jnl`	AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. CoRR Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo
2025	A*	`conf`	Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems. ICLR Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang
2025	J	`jnl`	An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data-Extended Version. CoRR Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, Bin Yang
2025	A*	`conf`	Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. AAAI Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang
2025	J	`jnl`	Aurora: Towards Universal Generative Multimodal Time Series Forecasting. CoRR Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo
2025	A*	`conf`	CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching. ICLR Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang
2025	J	`jnl`	CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. CoRR Peng Chen, Yihang Wang, Yang Shu, Yunyao Cheng, Kai Zhao, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	J	`jnl`	CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling. CoRR Beibu Li, Qichao Shentu, Yang Shu, Hui Zhang, Ming Li, Ning Jin, Bin Yang, Chenjuan Guo
2025	J	`jnl`	DAG: A Dual Causal Network for Time Series Forecasting with Exogenous Variables. CoRR Xiangfei Qiu, Yuhan Zhu, Zhengyu Li, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu
2025	J	`jnl`	DBLoss: Decomposition-based Loss Function for Time Series Forecasting. CoRR Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang
2025	—	`conf`	DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. KDD (1) Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang
2025	A*	`conf`	Data Driven Decision Making with Time Series and Spatio-Temporal Data. ICDE Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen
2025	J	`jnl`	Data Driven Decision Making with Time Series and Spatio-temporal Data. CoRR Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen
2025	J	`jnl`	Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising. CoRR Kangjia Yan, Chenxi Liu, Hao Miao, Xinle Wu, Yan Zhao, Chenjuan Guo, Bin Yang
2025	A*	`conf`	EasyTime: Time Series Forecasting Made Easy. ICDE Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2025	A*	`conf`	Enhancing Diversity for Data-free Quantization. CVPR Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang
2025	J	`jnl`	Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective. CoRR Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang
2025	J	`jnl`	FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting. CoRR Xingjian Wu, Hanyin Cheng, Xiangfei Qiu, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang
2025	A	`conf`	FinD CIKM Jieyuan Mei, Jindong Tian, Ronghui Xu, Hanyue Wei, Chenjuan Guo, Bin Yang
2025	—	`conf`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. KDD (2) Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	J	`jnl`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	J	`jnl`	Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
2025	J	`jnl`	K CoRR Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo
2025	A*	`conf`	K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. ICML Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo
2025	A	`conf`	Land Deformation Prediction via Multi-modal Adaptive Association Learning. CIKM Wanghui Qiu, Shiyan Hu, Chenjuan Guo, Wenbing Shi, Lina Yu, Ming Gao, Aoying Zhou, Bin Yang
2025	A*	`conf`	Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. ICLR Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang
2025	J	`jnl`	Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. CoRR Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang
2025	B	`conf`	Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends. SSTD Zijian Zhang, Xiao Han, Xiangyu Zhao, Chenjuan Guo, Bin Yang
2025	A*	`conf`	LightGTS: A Lightweight General Time Series Forecasting Model. ICML Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	J	`jnl`	LightGTS: A Lightweight General Time Series Forecasting Model. CoRR Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	—	`conf`	MM-Path: Multi-modal, Multi-granularity Path Representation Learning. KDD (1) Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang
2025	J	`jnl`	Multi-Scale Spatial-Temporal Hypergraph Network with Lead-Lag Structures for Stock Time Series Forecasting. CoRR Xiangfei Qiu, Liu Yang, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Jilin Hu
2025	J	`jnl`	Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs. CoRR Wei Li, Yunyao Cheng, Xinli Hao, Chaohong Ma, Yuxuan Liang, Bin Yang, Christian S. Jensen, Xiaofeng Meng
2025	J	`jnl`	RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. CoRR Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, Christian S. Jensen
2025	J	`jnl`	Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. CoRR Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang
2025	J	`jnl`	SEE: See Everything Every Time - Adaptive Brightness Adjustment for Broad Light Range Images via Events. CoRR Yunfan Lu, Xiaogang Xu, Hao Lu, Yanlin Qian, Pengteng Li, Huizai Yao, Bin Yang, Junyi Li, Qianyi Cai, Weiyu Guo, Hui Xiong
2025	—	`conf`	SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation. KDD (2) Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Bin Yang, Jilin Hu
2025	J	`jnl`	STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter. CoRR Hanyin Cheng, Ruitong Zhang, Yuning Lu, Peng Chen, Meng Wang, Yang Shu, Bin Yang, Chenjuan Guo
2025	J	`jnl`	Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework. IEEE Trans. Knowl. Data Eng. Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
2025	J	`jnl`	SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning. CoRR Tengxue Zhang, Biao Ouyang, Yang Shu, Xinyang Chen, Chenjuan Guo, Bin Yang
2025	J	`jnl`	TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. CoRR Xiangfei Qiu, Zhe Li, Wanghui Qiu, Shiyan Hu, Lekui Zhou, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Aoying Zhou, Zhenli Sheng, Jilin Hu, Christian S. Jensen, Bin Yang
2025	J	`jnl`	TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. Proc. VLDB Endow. Xiangfei Qiu, Zhe Li, Wanghui Qiu, Shiyan Hu, Lekui Zhou, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Aoying Zhou, Zhenli Sheng, Jilin Hu, Christian S. Jensen, Bin Yang
2025	—	`conf`	TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting. KDD (2) Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2025	A	`conf`	The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models. CIKM Hao Miao, Yan Zhao, Yuxuan Liang, Bin Yang, Kai Zheng, Christian S. Jensen
2025	A*	`conf`	Towards Lightweight Time Series Forecasting: A Patch-Wise Transformer with Weak Data Enriching. ICDE Meng Wang, Jintao Yang, Bin Yang, Hui Li, Tongxin Gong, Bo Yang, Jiangtao Cui
2025	J	`jnl`	Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching. CoRR Meng Wang, Jintao Yang, Bin Yang, Hui Li, Tongxin Gong, Bo Yang, Jiangtao Cui
2025	J	`jnl`	Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing. CoRR Junkai Lu, Peng Chen, Chenjuan Guo, Yang Shu, Meng Wang, Bin Yang
2025	A*	`conf`	Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. ICLR Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	A*	`conf`	Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer. ICML Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	J	`jnl`	UVTM: Universal Vehicle Trajectory Modeling With ST Feature Domain Generation. IEEE Trans. Knowl. Data Eng. Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan
2025	J	`jnl`	Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics. CoRR Xingjian Wu, Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang
2025	—	`conf`	Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. KDD (2) Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Christian S. Jensen, Yunyao Cheng, Bin Yang
2025	—	`conf`	Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era. WWW (Companion Volume) Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang, Christian S. Jensen
2024	—	`conf`	A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. ECML/PKDD (10) Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2024	J	`jnl`	A Memory Guided Transformer for Time Series Forecasting. Proc. VLDB Endow. Yunyao Cheng, Chenjuan Guo, Bin Yang, Haomin Yu, Kai Zhao, Christian S. Jensen
2024	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen
2024	A*	`conf`	A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. ICDE Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
2024	J	`jnl`	A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
2024	J	`jnl`	Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. Bolong Zheng, Lingfeng Ming, Kai Zeng, Mengtao Zhou, Xinyong Zhang, Tao Ye, Bin Yang, Xiaofang Zhou, Christian S. Jensen
2024	J	`jnl`	Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems. CoRR Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang
2024	J	`jnl`	Assessing Pre-trained Models for Transfer Learning through Distribution of Spectral Components. CoRR Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang
2024	J	`jnl`	AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. VLDB J. Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen
2024	J	`jnl`	CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching. CoRR Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang
2024	J	`jnl`	Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing. VLDB J. Yan Zhao, Kai Zheng, Ziwei Wang, Liwei Deng, Bin Yang, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou
2024	J	`jnl`	DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. CoRR Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang
2024	—	`conf`	Dependency-Aware Differentiable Neural Architecture Search. ECCV (55) Buang Zhang, Xinle Wu, Hao Miao, Chenjuan Guo, Bin Yang
2024	J	`jnl`	DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone. CoRR Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Jilin Hu, Bin Yang
2024	J	`jnl`	EasyTime: Time Series Forecasting Made Easy. CoRR Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2024	J	`jnl`	Editorial: DSAA 2023 journal track on theoretical and practical data science and analytics. Int. J. Data Sci. Anal. Bin Yang, Feida Zhu, Wei Wei
2024	J	`jnl`	Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version. CoRR Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S. Jensen
2024	J	`jnl`	Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. Proc. VLDB Endow. Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen
2024	J	`jnl`	FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang
2024	J	`jnl`	Fully Automated Correlated Time Series Forecasting in Minutes. CoRR Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
2024	J	`jnl`	Fully Automated Correlated Time Series Forecasting in Minutes. Proc. VLDB Endow. Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
2024	J	`jnl`	GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains. CoRR Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan
2024	J	`jnl`	Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version. CoRR Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
2024	J	`jnl`	Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching. Proc. VLDB Endow. Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
2024	J	`jnl`	MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version. CoRR Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang
2024	J	`jnl`	Multi-granularity attention in attention for person re-identification in aerial images. Vis. Comput. Simin Xu, Lingkun Luo, Haichao Hong, Jilin Hu, Bin Yang, Shiqiang Hu
2024	J	`jnl`	MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection. Proc. VLDB Endow. Zhihao Zhuang, Yingying Zhang, Kai Zhao, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan
2024	A	`conf`	Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CIKM Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang
2024	J	`jnl`	Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CoRR Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang
2024	A*	`conf`	Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. CoRR Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024	A*	`conf`	Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024	J	`jnl`	QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. CoRR David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen
2024	J	`jnl`	QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. Proc. VLDB Endow. David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen
2024	J	`jnl`	RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. Proc. VLDB Endow. Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, Christian S. Jensen
2024	J	`jnl`	ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2024	A*	`conf`	Routing with Massive Trajectory Data. ICDE Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp
2024	J	`jnl`	TEAM: Topological Evolution-aware Framework for Traffic Forecasting-Extended Version. CoRR Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le
2024	J	`jnl`	TEAM: Topological Evolution-aware Framework for Traffic Forecasting. Proc. VLDB Endow. Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le
2024	J	`jnl`	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. CoRR Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
2024	J	`jnl`	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. Proc. VLDB Endow. Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
2024	J	`jnl`	Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. CoRR Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang
2023	J	`jnl`	A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. CoRR Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang
2023	J	`jnl`	A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
2023	J	`jnl`	AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. Proc. ACM Manag. Data Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
2023	J	`jnl`	CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. IEEE Trans. Knowl. Data Eng. Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li
2023	A*	`conf`	LightPath: Lightweight and Scalable Path Representation Learning. KDD Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2023	J	`jnl`	LightPath: Lightweight and Scalable Path Representation Learning. CoRR Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2023	J	`jnl`	LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. CoRR David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
2023	J	`jnl`	LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proc. ACM Manag. Data David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
2023	J	`jnl`	MagicScaler: Uncertainty-aware, Predictive Autoscaling. Proc. VLDB Endow. Zhicheng Pan, Yihang Wang, Yingying Zhang, Sean Bin Yang, Yunyao Cheng, Peng Chen, Chenjuan Guo, Qingsong Wen, Xiduo Tian, Yunliang Dou, Zhiqiang Zhou, Chengcheng Yang, Aoying Zhou, Bin Yang
2023	J	`jnl`	Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang
2023	J	`jnl`	Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. IEEE Trans. Knowl. Data Eng. Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan
2023	J	`jnl`	Origin-Destination Travel Time Oracle for Map-based Services. CoRR Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen
2023	J	`jnl`	Origin-Destination Travel Time Oracle for Map-based Services. Proc. ACM Manag. Data Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen
2023	J	`jnl`	Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Trans. Knowl. Data Eng. Yan Zhao, Kai Zheng, Yunchuan Li, Jinfu Xia, Bin Yang, Torben Bach Pedersen, Rui Mao, Christian S. Jensen, Xiaofang Zhou
2023	J	`jnl`	Stochastic Routing with Arrival Windows. ACM Trans. Spatial Algorithms Syst. Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen, Jesper Møller
2023	J	`jnl`	Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen
2022	J	`jnl`	A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. CoRR Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen
2022	J	`jnl`	A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
2022	A*	`conf`	Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. ICDE Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen
2022	J	`jnl`	AutoPINN: When AutoML Meets Physics-Informed Neural Networks. CoRR Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang
2022	A*	`conf`	BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CVPR Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang
2022	J	`jnl`	Context-Aware Path Ranking in Road Networks. IEEE Trans. Knowl. Data Eng. Sean Bin Yang, Chenjuan Guo, Bin Yang
2022	J	`jnl`	Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. CoRR Dalin Zhang, Kaixuan Chen, Yan Zhao, Bin Yang, Lina Yao, Christian S. Jensen
2022	A*	`conf`	Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. AAAI Frederik Baymler Mathiesen, Bin Yang, Jilin Hu
2022	J	`jnl`	Influence-aware Task Assignment in Spatial Crowdsourcing (Technical Report). CoRR Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen
2022	A*	`conf`	Influence-aware Task Assignment in Spatial Crowdsourcing. ICDE Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen
2022	A*	`conf`	Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. NeurIPS Miao Zhang, Wei Huang, Bin Yang
2022	J	`jnl`	Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. CoRR Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
2022	J	`jnl`	Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. CoRR Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan
2022	A*	`conf`	Outlier Detection for Streaming Task Assignment in Crowdsourcing. WWW Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
2022	A*	`conf`	RetroGraph: Retrosynthetic Planning with Graph Search. KDD Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
2022	J	`jnl`	RetroGraph: Retrosynthetic Planning with Graph Search. CoRR Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
2022	J	`jnl`	Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. CoRR Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
2022	A*	`conf`	Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. ICDE Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
2022	B	`ed.`	SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6 - 8, 2022 SSDBM Elaheh Pourabbas, Yongluan Zhou, Yuchen Li, Bin Yang
2022	J	`jnl`	Semantic driven attention network with attribute learning for unsupervised person re-identification. Knowl. Based Syst. Simin Xu, Lingkun Luo, Jilin Hu, Bin Yang, Shiqiang Hu
2022	—	`conf`	Spatio-temporal graph convolutional network for stochastic traffic speed imputation. SIGSPATIAL/GIS Carlos Enrique Muñiz-Cuza, Nguyen Ho, Eleni Tzirita Zacharatou, Torben Bach Pedersen, Bin Yang
2022	A*	`conf`	Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
2022	J	`jnl`	Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. CoRR Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
2022	J	`jnl`	Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. CoRR Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
2022	A*	`conf`	Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. IJCAI Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
2022	J	`jnl`	Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. CoRR Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
2022	A*	`conf`	Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. ICDE Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
2022	A*	`conf`	Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang
2021	J	`jnl`	AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. CoRR Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen
2021	J	`jnl`	AutoCTS: Automated Correlated Time Series Forecasting. Proc. VLDB Endow. Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen
2021	J	`jnl`	BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CoRR Miao Zhang, Jilin Hu, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Gholamreza Haffari
2021	A*	`conf`	EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan
2021	A*	`conf`	Fairness-aware Task Assignment in Spatial Crowdsourcing: Game-Theoretic Approaches. ICDE Yan Zhao, Kai Zheng, Jiannan Guo, Bin Yang, Torben Bach Pedersen, Christian S. Jensen
2021	J	`jnl`	Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. CoRR Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang
2021	A*	`conf`	Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
2021	J	`jnl`	Unsupervised Path Representation Learning with Curriculum Negative Sampling. CoRR Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
2021	J	`jnl`	Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. CoRR David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
2021	J	`jnl`	Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. Proc. VLDB Endow. David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
2020	B	`conf`	A Correlated Time Series Forecast System. MDM Nicolaj Casanova Abildgaard, Casper Weiss Bang, Jonas Hansen, Tobias Lambek Jacobsen, Thomas Højriis Knudsen, Nichlas Ørts Lisby, Chenjuan Guo, Bin Yang
2020	A*	`conf`	A Hybrid Learning Approach to Stochastic Routing. ICDE Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen
2020	B	`conf`	A Road Segment Attribute Completion System. MDM Razvan-Gabriel Cirstea, Hilmar Gústafsson, Rasmus Riis Grønbæk Pedersen, Rolf Hakon Verder Sehested, Tamas Imre Winkler, Bin Yang
2020	J	`jnl`	Anytime Stochastic Routing with Hybrid Learning. Proc. VLDB Endow. Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen
2020	J	`jnl`	Context-aware, preference-based vehicle routing. VLDB J. Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen
2020	—	`conf`	Estimating travel speed distributions of paths in road networks using dual-input LSTMs. IWCTS@SIGSPATIAL Christopher Hansen Nielsen, Simon Makne Randers, Bin Yang, Niels Agerholm
2020	J	`jnl`	Fast stochastic routing under time-varying uncertainty. VLDB J. Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen
2020	J	`jnl`	Force myography benchmark data for hand gesture recognition and transfer learning. CoRR Thomas Buhl Andersen, Rógvi Eliasen, Mikkel Jarlund, Bin Yang
2020	J	`jnl`	Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. CoRR Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao
2020	A*	`conf`	Learning to Rank Paths in Spatial Networks. ICDE Sean Bin Yang, Bin Yang
2020	B	`ed.`	Proceedings of the 23rd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020. EDBT Angela Bonifati, Yongluan Zhou, Marcos Antonio Vaz Salles, Alexander Böhm, Dan Olteanu, George H. L. Fletcher, Arijit Khan, Bin Yang
2020	A*	`conf`	Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. ICDE Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong
2020	J	`jnl`	Trajectory splicing. Knowl. Inf. Syst. Qiang Lu, Rencai Wang, Bin Yang, Zhiguang Wang
2019	B	`conf`	A Charging Scheduling System for Electric Vehicles using Vehicle-to-Grid. MDM Nicklas K. Breum, Martin N. Joergensen, Christian A. Knudsen, Laerke B. Kristensen, Bin Yang
2019	B	`conf`	A Practical Delivery Route Planning System. MDM Asger Gitz-Johansen, Mikkel Elkjaer Holm, Laurids Vinther Kirkeby, Dan Kristiansen, Alexander Stoica Ostenfeld, Morten Konggaard Schou, Bin Yang
2019	J	`jnl`	Editorial: mobile data management and analytics. GeoInformatica Takahiro Hara, Wang-Chien Lee, Bin Yang
2019	A*	`conf`	Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
2019	J	`jnl`	PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks. CoRR Sean Bin Yang, Bin Yang
2019	A*	`conf`	Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2019	A*	`conf`	Towards Longitudinal Analytics on Social Media Data. ICDE Fan Xia, Bin Yang, Chengcheng Yu, Weining Qian, Aoying Zhou
2018	J	`jnl`	A New Formulation of The Shortest Path Problem with On-Time Arrival Reliability. CoRR Georgi Andonov, Bin Yang
2018	J	`jnl`	Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. CoRR Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang
2018	A	`conf`	Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. CIKM Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang
2018	A	`conf`	Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. CIKM Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
2018	J	`jnl`	Finding Top-k Optimal Sequenced Routes - Full Version. CoRR Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou
2018	A*	`conf`	Finding Top-k Optimal Sequenced Routes. ICDE Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou
2018	A*	`conf`	Finding Top-k Shortest Paths with Diversity. ICDE Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou
2018	J	`jnl`	Finding Top-k Shortest Paths with Diversity. IEEE Trans. Knowl. Data Eng. Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou
2018	J	`jnl`	Learning to Route with Sparse Trajectory Sets - Extended Version. CoRR Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen
2018	A*	`conf`	Learning to Route with Sparse Trajectory Sets. ICDE Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen
2018	B	`conf`	Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. MDM Tung Kieu, Bin Yang, Christian S. Jensen
2018	J	`jnl`	PACE: a PAth-CEntric paradigm for stochastic path finding. VLDB J. Bin Yang, Jian Dai, Chenjuan Guo, Christian S. Jensen, Jilin Hu
2018	J	`jnl`	Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. CoRR Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen
2018	J	`jnl`	Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. VLDB J. Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen
2018	B	`conf`	Stochastic Shortest Path Finding in Path-Centric Uncertain Road Networks. MDM Georgi Andonov, Bin Yang
2018	B	`conf`	aSTEP: Aau's Spatio-TEmporal Data Analytics Platform. MDM Marc Beuchert, Steffen Hald Jensen, Omar Ali Sheikh-Omar, Mathias Bach Svendsen, Bin Yang
2017	B	`conf`	Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation. MDM Robert Waury, Jilin Hu, Bin Yang, Christian S. Jensen
2017	J	`jnl`	Enabling time-dependent uncertain eco-weights for road networks. GeoInformatica Jilin Hu, Bin Yang, Christian S. Jensen, Yu Ma
2016	J	`jnl`	Enabling Smart Transportation Systems: A Parallel Spatio-Temporal Database Approach. IEEE Trans. Computers Zhiming Ding, Bin Yang, Yuanying Chi, Limin Guo
2016	B	`conf`	Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data. EDBT Hua Lu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2016	—	`conf`	Finding non-dominated paths in uncertain road networks. SIGSPATIAL/GIS Saad Aljubayrin, Bin Yang, Christian S. Jensen, Rui Zhang
2016	J	`jnl`	Path Cost Distribution Estimation Using Trajectory Data. Proc. VLDB Endow. Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, Jilin Hu
2015	J	`jnl`	Discovery of Path Nearby Clusters in Spatial Networks. IEEE Trans. Knowl. Data Eng. Shuo Shang, Kai Zheng, Christian S. Jensen, Bin Yang, Panos Kalnis, Guohe Li, Ji-Rong Wen
2015	J	`jnl`	EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data. GeoInformatica Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp
2015	A*	`conf`	EcoSky: Reducing vehicular environmental impact through eco-routing. ICDE Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp
2015	J	`jnl`	Efficient and Accurate Path Cost Estimation Using Trajectory Data. CoRR Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen
2015	A*	`conf`	Finding top-k local users in geo-tagged social media data. ICDE Jinling Jiang, Hua Lu, Bin Yang, Bin Cui
2015	J	`jnl`	Network-Matched Trajectory-Based Moving-Object Database: Models and Applications. IEEE Trans. Intell. Transp. Syst. Zhiming Ding, Bin Yang, Ralf Hartmut Güting, Yaguang Li
2015	A*	`conf`	Personalized route recommendation using big trajectory data. ICDE Jian Dai, Bin Yang, Chenjuan Guo, Zhiming Ding
2015	J	`jnl`	Toward personalized, context-aware routing. VLDB J. Bin Yang, Chenjuan Guo, Yu Ma, Christian S. Jensen
2014	—	`conf`	Efficient Top-k Spatial Locality Search for Co-located Spatial Web Objects. MDM (1) Qiang Qu, Siyuan Liu, Bin Yang, Christian S. Jensen
2014	—	`conf`	Enabling Time-Dependent Uncertain Eco-Weights For Road Networks. GeoRich@SIGMOD Yu Ma, Bin Yang, Christian S. Jensen
2014	B	`conf`	Integrating non-spatial preferences into spatial location queries. SSDBM Qiang Qu, Siyuan Liu, Bin Yang, Christian S. Jensen
2014	A*	`conf`	Stochastic skyline route planning under time-varying uncertainty. ICDE Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang
2014	J	`jnl`	Towards Total Traffic Awareness. SIGMOD Rec. Chenjuan Guo, Christian S. Jensen, Bin Yang
2014	J	`jnl`	Using Incomplete Information for Complete Weight Annotation of Road Networks. IEEE Trans. Knowl. Data Eng. Bin Yang, Manohar Kaul, Christian S. Jensen
2013	—	`conf`	Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems. MDM (1) Manohar Kaul, Bin Yang, Christian S. Jensen
2013	—	`conf`	EcoTour: Reducing the Environmental Footprint of Vehicles Using Eco-routes. MDM (1) Ove Andersen, Christian S. Jensen, Kristian Torp, Bin Yang
2013	J	`jnl`	Finding Shortest Paths on Terrains by Killing Two Birds with One Stone. Proc. VLDB Endow. Manohar Kaul, Raymond Chi-Wing Wong, Bin Yang, Christian S. Jensen
2013	—	`conf`	MOIR/UOTS: Trip Recommendation with User Oriented Trajectory Search. MDM (1) Kuien Liu, Bin Yang, Shuo Shang, Yaguang Li, Zhiming Ding
2013	B	`conf`	Towards context-aware search and analysis on social media data. EDBT Leon Derczynski, Bin Yang, Christian S. Jensen
2013	J	`jnl`	Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models. Proc. VLDB Endow. Bin Yang, Chenjuan Guo, Christian S. Jensen
2013	J	`jnl`	Using Incomplete Information for Complete Weight Annotation of Road Networks - Extended Version. CoRR Bin Yang, Manohar Kaul, Christian S. Jensen
2013	B	`conf`	iPark: identifying parking spaces from trajectories. EDBT Bin Yang, Nicolas Fantini, Christian S. Jensen
2012	—	`conf`	EcoMark: evaluating models of vehicular environmental impact. SIGSPATIAL/GIS Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul
2011	—	`conf`	Efficient Approximate Similarity Search Using Random Projection Learning. WAIM Peisen Yuan, Chaofeng Sha, Xiaoling Wang, Bin Yang, Aoying Zhou
2011	A	`conf`	Harvesting facts from textual web sources by constrained label propagation. CIKM Yafang Wang, Bin Yang, Lizhen Qu, Marc Spaniol, Gerhard Weikum
2011	—	`conf`	Scalable spatio-temporal knowledge harvesting. WWW (Companion Volume) Yafang Wang, Bin Yang, Spyros Zoupanos, Marc Spaniol, Gerhard Weikum
2011	A*	`conf`	Spatio-temporal joins on symbolic indoor tracking data. ICDE Hua Lu, Bin Yang, Christian S. Jensen
2010	J	`jnl`	Indoor - A New Data Management Frontier. IEEE Data Eng. Bull. Christian S. Jensen, Hua Lu, Bin Yang
2010	B	`conf`	Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space. EDBT Bin Yang, Hua Lu, Christian S. Jensen
2010	—	`conf`	XML Structural Similarity Search Using MapReduce. WAIM Peisen Yuan, Chaofeng Sha, Xiaoling Wang, Bin Yang, Aoying Zhou, Su Yang
2009	B	`conf`	Graph Model Based Indoor Tracking. Mobile Data Management Christian S. Jensen, Hua Lu, Bin Yang
2009	B	`conf`	Indexing the Trajectories of Moving Objects in Symbolic Indoor Space. SSTD Christian S. Jensen, Hua Lu, Bin Yang
2009	—	`conf`	Query processing of massive trajectory data based on mapreduce. CloudDB@CIKM Qiang Ma, Bin Yang, Weining Qian, Aoying Zhou
2009	A	`conf`	Scalable continuous range monitoring of moving objects in symbolic indoor space. CIKM Bin Yang, Hua Lu, Christian S. Jensen
2009	B	`conf`	TRUSTER: TRajectory Data Processing on ClUSTERs. DASFAA Bin Yang, Qiang Ma, Weining Qian, Aoying Zhou
2008	J	`jnl`	Using Wide Table to manage web data: a survey. Frontiers Comput. Sci. China Bin Yang, Weining Qian, Aoying Zhou