Chenjuan Guo - RankMe

167 papers A* 37A 6B 3Journal 108Unranked 11

Year	Rank	Type	Title / Venue / Authors
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	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`	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`	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`	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	J	`jnl`	A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective. CoRR Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo
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	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	A*	`conf`	MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. EMNLP Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo
2025	J	`jnl`	MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. CoRR Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo
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`	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`	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	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`	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
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	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`	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`	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`	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`	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`	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`	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`	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`	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`	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`	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	J	`jnl`	Context-Aware Path Ranking in Road Networks. IEEE Trans. Knowl. Data Eng. Sean Bin Yang, Chenjuan Guo, 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	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	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	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	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	J	`jnl`	Context-aware, preference-based vehicle routing. VLDB J. Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen
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
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`	Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories. Proc. VLDB Endow. Lu Chen, Yunjun Gao, Ziquan Fang, Xiaoye Miao, Christian S. Jensen, Chenjuan Guo
2019	A*	`conf`	Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
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`	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	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
2016	B	`conf`	Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data. EDBT Hua Lu, Chenjuan Guo, Bin Yang, Christian S. Jensen
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`	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`	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	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
2013	—	`ch.`	A Functional Model for Dataspace Management Systems. Advanced Query Processing (1) Cornelia Hedeler, Alvaro A. A. Fernandes, Khalid Belhajjame, Lu Mao, Chenjuan Guo, Norman W. Paton, Suzanne M. Embury
2013	J	`jnl`	EvoMatch: An Evolutionary Algorithm for Inferring Schematic Correspondences. Trans. Large Scale Data Knowl. Centered Syst. Chenjuan Guo, Cornelia Hedeler, Norman W. Paton, Alvaro A. A. Fernandes
2013	—	`conf`	MatchBench: Benchmarking Schema Matching Algorithms for Schematic Correspondences. BNCOD Chenjuan Guo, Cornelia Hedeler, Norman W. Paton, Alvaro A. A. Fernandes
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
2012	J	`jnl`	DSToolkit: An Architecture for Flexible Dataspace Management. Trans. Large Scale Data Knowl. Centered Syst. Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Chenjuan Guo, Ian Arundale, Bernadette Farias Lóscio, Norman W. Paton, Alvaro A. A. Fernandes, Suzanne M. Embury
2012	—	`conf`	EcoMark: evaluating models of vehicular environmental impact. SIGSPATIAL/GIS Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul
2011	—	`—`	Inferring information about correspondences between data sources for dataspaces. Chenjuan Guo
2011	—	`conf`	Pay-as-you-go mapping selection in dataspaces. SIGMOD Conference Cornelia Hedeler, Khalid Belhajjame, Norman W. Paton, Alvaro A. A. Fernandes, Suzanne M. Embury, Lu Mao, Chenjuan Guo
2010	—	`conf`	Flexible Dataspace Management Through Model Management. EDBT/ICDT Workshops Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Norman W. Paton, Alvaro A. A. Fernandes, Chenjuan Guo, Suzanne M. Embury