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2020 – today
- 2025
[j32]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:
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. Proc. VLDB Endow. 18(9): 2775-2789 (2025)- [j31]Hao Miao
, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework. IEEE Trans. Knowl. Data Eng. 37(4): 2126-2140 (2025) - [j30]Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng:
Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 37(8): 4604-4619 (2025) - [c45]Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang:
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. AAAI 2025: 22560-22568 - [c44]Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang:
Enhancing Diversity for Data-free Quantization. CVPR 2025: 20969-20978 - [c43]Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo:
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. ICDE 2025: 1952-1965 - [c42]Xiuwen Li, Qifeng Cai, Yang Shu, Chenjuan Guo, Bin Yang:
AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation. ICDE 2025: 3945-3957 - [c41]Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen:
Data Driven Decision Making with Time Series and Spatio-Temporal Data. ICDE 2025: 4517-4522 - [c40]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:
EasyTime: Time Series Forecasting Made Easy. ICDE 2025: 4564-4567 - [c39]Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang:
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. ICLR 2025 - [c38]Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. ICLR 2025 - [c37]Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang:
Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems. ICLR 2025 - [c36]Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang:
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching. ICLR 2025 - [c35]Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang:
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. KDD (1) 2025: 1185-1196 - [c34]Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang:
MM-Path: Multi-modal, Multi-granularity Path Representation Learning. KDD (1) 2025: 1703-1714 - [c33]Zijian Zhang, Xiao Han, Xiangyu Zhao, Chenjuan Guo, Bin Yang:
Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends. SSTD 2025: 107-110 - [i63]Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo:
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective. CoRR abs/2502.10721 (2025) - [i62]Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, Christian S. Jensen:
RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. CoRR abs/2503.04252 (2025) - [i61]Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen:
Data Driven Decision Making with Time Series and Spatio-temporal Data. CoRR abs/2503.08473 (2025) - [i60]Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang:
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. CoRR abs/2503.21200 (2025) - [i59]Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo:
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. CoRR abs/2504.09993 (2025) - [i58]Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang:
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. CoRR abs/2505.11250 (2025) - [i57]Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo:
K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. CoRR abs/2505.23017 (2025) - [i56]Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
LightGTS: A Lightweight General Time Series Forecasting Model. CoRR abs/2506.06005 (2025) - [i55]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:
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. CoRR abs/2506.18046 (2025) - [i54]Peng Chen, Yihang Wang, Yang Shu, Yunyao Cheng, Kai Zhao, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. CoRR abs/2508.12235 (2025) - [i53]Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo:
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. CoRR abs/2509.14651 (2025) - [i52]Xiangfei Qiu, Yuhan Zhu, Zhengyu Li, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu:
DAG: A Dual Causal Network for Time Series Forecasting with Exogenous Variables. CoRR abs/2509.14933 (2025) - [i51]Xingjian Wu, Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang:
Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics. CoRR abs/2509.22279 (2025) - [i50]Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo:
Aurora: Towards Universal Generative Multimodal Time Series Forecasting. CoRR abs/2509.22295 (2025) - [i49]Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu:
ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting. CoRR abs/2509.23313 (2025) - [i48]Xiangfei Qiu, Liu Yang, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Jilin Hu:
Multi-Scale Spatial-Temporal Hypergraph Network with Lead-Lag Structures for Stock Time Series Forecasting. CoRR abs/2509.23668 (2025) - [i47]Kangjia Yan, Chenxi Liu, Hao Miao, Xinle Wu, Yan Zhao, Chenjuan Guo, Bin Yang:
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising. CoRR abs/2510.05589 (2025) - [i46]Jindong Tian, Yifei Ding, Ronghui Xu, Hao Miao, Chenjuan Guo, Bin Yang:
ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting. CoRR abs/2510.09734 (2025) - [i45]Beibu Li, Qichao Shentu, Yang Shu, Hui Zhang, Ming Li, Ning Jin, Bin Yang, Chenjuan Guo:
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling. CoRR abs/2510.12489 (2025) - [i44]Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang:
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective. CoRR abs/2510.14510 (2025) - [i43]Hanyin Cheng, Ruitong Zhang, Yuning Lu, Peng Chen, Meng Wang, Yang Shu, Bin Yang, Chenjuan Guo:
STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter. CoRR abs/2510.16014 (2025) - [i42]Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, Bin Yang:
An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data-Extended Version. CoRR abs/2510.18998 (2025) - [i41]Tengxue Zhang, Biao Ouyang, Yang Shu, Xinyang Chen, Chenjuan Guo, Bin Yang:
SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning. CoRR abs/2510.23051 (2025) - [i40]Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang:
DBLoss: Decomposition-based Loss Function for Time Series Forecasting. CoRR abs/2510.23672 (2025) - 2024
- [j29]Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang:
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. Proc. VLDB Endow. 17(9): 2363-2377 (2024) - [j28]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. Proc. VLDB Endow. 17(11): 2708-2721 (2024) - [j27]Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen:
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. Proc. VLDB Endow. 17(11): 2893-2905 (2024) - [j26]Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Fully Automated Correlated Time Series Forecasting in Minutes. Proc. VLDB Endow. 18(2): 144-157 (2024) - [j25]Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching. Proc. VLDB Endow. 18(2): 226-238 (2024) - [j24]Yunyao Cheng, Chenjuan Guo, Bin Yang, Haomin Yu, Kai Zhao, Christian S. Jensen:
A Memory Guided Transformer for Time Series Forecasting. Proc. VLDB Endow. 18(2): 239-252 (2024) - [j23]Zhihao Zhuang, Yingying Zhang, Kai Zhao, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan:
Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection. Proc. VLDB Endow. 18(4): 1159-1168 (2024) - [j22]Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, Christian S. Jensen:
RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. Proc. VLDB Endow. 18(4): 1169-1182 (2024) - [j21]Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen:
AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. VLDB J. 33(5): 1743-1770 (2024) - [c32]Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang:
Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CIKM 2024: 3892-3896 - [c31]Buang Zhang, Xinle Wu, Hao Miao, Chenjuan Guo, Bin Yang:
Dependency-Aware Differentiable Neural Architecture Search. ECCV (55) 2024: 219-236 - [c30]Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. ICDE 2024: 1050-1062 - [c29]Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp:
Routing with Massive Trajectory Data. ICDE 2024: 5542-5547 - [c28]Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo:
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR 2024 - [c27]Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. ECML/PKDD (10) 2024: 231-246 - [i39]Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo:
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. CoRR abs/2402.05956 (2024) - [i38]Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang:
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. CoRR abs/2403.20150 (2024) - [i37]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. CoRR abs/2404.13990 (2024) - [i36]Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR abs/2404.14999 (2024) - [i35]Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR abs/2405.15273 (2024) - [i34]Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR abs/2405.17478 (2024) - [i33]Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S. Jensen:
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version. CoRR abs/2407.06881 (2024) - [i32]Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang:
Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CoRR abs/2407.20053 (2024) - [i31]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:
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR abs/2410.11802 (2024) - [i30]Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang:
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching. CoRR abs/2410.12261 (2024) - [i29]Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo:
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR abs/2410.15997 (2024) - [i28]Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang:
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. CoRR abs/2410.16888 (2024) - [i27]Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang:
Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems. CoRR abs/2410.19892 (2024) - [i26]Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version. CoRR abs/2410.20905 (2024) - [i25]Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Fully Automated Correlated Time Series Forecasting in Minutes. CoRR abs/2411.05833 (2024) - [i24]Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang:
MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version. CoRR abs/2411.18428 (2024) - [i23]Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang:
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. CoRR abs/2412.10859 (2024) - [i22]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:
EasyTime: Time Series Forecasting Made Easy. CoRR abs/2412.17603 (2024) - [i21]Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang:
Assessing Pre-trained Models for Transfer Learning through Distribution of Spectral Components. CoRR abs/2412.19085 (2024) - 2023
- [j20]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. Proc. ACM Manag. Data 1(1): 97:1-97:26 (2023) - [j19]David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen:
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proc. ACM Manag. Data 1(2): 171:1-171:27 (2023) - [j18]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:
MagicScaler: Uncertainty-aware, Predictive Autoscaling. Proc. VLDB Endow. 16(12): 3808-3821 (2023) - [j17]Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang:
Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. 17(4): 753-765 (2023) - [j16]Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen:
Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. 17(4): 766-779 (2023) - [j15]Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li:
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. IEEE Trans. Knowl. Data Eng. 35(10): 10125-10139 (2023) - [c26]Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
LightPath: Lightweight and Scalable Path Representation Learning. KDD 2023: 2999-3010 - [i20]David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen:
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. CoRR abs/2302.12721 (2023) - [i19]Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang:
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. CoRR abs/2306.05344 (2023) - [i18]Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
LightPath: Lightweight and Scalable Path Representation Learning. CoRR abs/2307.10171 (2023) - 2022
- [j14]Sean Bin Yang, Chenjuan Guo, Bin Yang:
Context-Aware Path Ranking in Road Networks. IEEE Trans. Knowl. Data Eng. 34(7): 3153-3168 (2022) - [c25]Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen:
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. ICDE 2022: 1342-1354 - [c24]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen:
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. ICDE 2022: 2873-2885 - [c23]Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE 2022: 2900-2913 - [c22]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng:
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. ICDE 2022: 3038-3050 - [c21]Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan:
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. IJCAI 2022: 1994-2001 - [c20]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. KDD 2022: 2120-2129 - [c19]Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang:
Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS 2022 - [c18]Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Outlier Detection for Streaming Task Assignment in Crowdsourcing. WWW 2022: 1933-1943 - [i17]Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. CoRR abs/2203.15737 (2022) - [i16]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen:
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. CoRR abs/2203.16110 (2022) - [i15]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng:
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. CoRR abs/2204.03341 (2022) - [i14]Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan:
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. CoRR abs/2204.13767 (2022) - [i13]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. CoRR abs/2206.11477 (2022) - [i12]Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen:
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. CoRR abs/2209.04635 (2022) - [i11]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. CoRR abs/2211.16126 (2022) - [i10]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang:
AutoPINN: When AutoML Meets Physics-Informed Neural Networks. CoRR abs/2212.04058 (2022) - [i9]Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng:
A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR abs/2212.10306 (2022) - 2021
- [j13]David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen:
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. Proc. VLDB Endow. 15(3): 611-623 (2021) - [j12]Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen:
AutoCTS: Automated Correlated Time Series Forecasting. Proc. VLDB Endow. 15(4): 971-983 (2021) - [c17]Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan:
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE 2021: 1739-1750 - [c16]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang:
Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI 2021: 3286-3292 - [i8]Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang:
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. CoRR abs/2103.10760 (2021) - [i7]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang:
Unsupervised Path Representation Learning with Curriculum Negative Sampling. CoRR abs/2106.09373 (2021) - [i6]David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen:
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. CoRR abs/2111.11108 (2021) - [i5]Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen:
AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. CoRR abs/2112.11174 (2021) - 2020
- [j11]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen:
Context-aware, preference-based vehicle routing. VLDB J. 29(5): 1149-1170 (2020) - [c15]Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong:
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. ICDE 2020: 1417-1428 - [c14]Nicolaj Casanova Abildgaard, Casper Weiss Bang, Jonas Hansen, Tobias Lambek Jacobsen, Thomas Højriis Knudsen, Nichlas Ørts Lisby, Chenjuan Guo, Bin Yang:
A Correlated Time Series Forecast System. MDM 2020: 242-243
2010 – 2019
- 2019
- [j10]Lu Chen, Yunjun Gao, Ziquan Fang, Xiaoye Miao, Christian S. Jensen, Chenjuan Guo:
Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories. Proc. VLDB Endow. 12(10): 1208-1220 (2019) - [c13]Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE 2019: 1274-1285 - [c12]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI 2019: 2725-2732 - 2018
- [j9]Bin Yang, Jian Dai, Chenjuan Guo, Christian S. Jensen, Jilin Hu:
PACE: a PAth-CEntric paradigm for stochastic path finding. VLDB J. 27(2): 153-178 (2018) - [j8]Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. VLDB J. 27(2): 179-200 (2018) - [c11]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. CIKM 2018: 863-872 - [c10]Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang:
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. CIKM 2018: 1527-1530 - [c9]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen:
Learning to Route with Sparse Trajectory Sets. ICDE 2018: 1073-1084 - [i4]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen:
Learning to Route with Sparse Trajectory Sets - Extended Version. CoRR abs/1802.07980 (2018) - [i3]Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang:
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. CoRR abs/1808.09794 (2018) - [i2]Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen:
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. CoRR abs/1811.05157 (2018) - 2016
- [j7]Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, Jilin Hu:
Path Cost Distribution Estimation Using Trajectory Data. Proc. VLDB Endow. 10(3): 85-96 (2016) - [c8]Hua Lu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data. EDBT 2016: 449-460 - 2015
- [j6]Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp:
EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data. GeoInformatica 19(3): 567-599 (2015) - [j5]Bin Yang, Chenjuan Guo, Yu Ma, Christian S. Jensen:
Toward personalized, context-aware routing. VLDB J. 24(2): 297-318 (2015) - [c7]Jian Dai, Bin Yang, Chenjuan Guo, Zhiming Ding:
Personalized route recommendation using big trajectory data. ICDE 2015: 543-554 - [c6]Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp:
EcoSky: Reducing vehicular environmental impact through eco-routing. ICDE 2015: 1412-1415 - [i1]Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Efficient and Accurate Path Cost Estimation Using Trajectory Data. CoRR abs/1510.02886 (2015) - 2014
- [j4]Chenjuan Guo, Christian S. Jensen, Bin Yang:
Towards Total Traffic Awareness. SIGMOD Rec. 43(3): 18-23 (2014) - [c5]Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang:
Stochastic skyline route planning under time-varying uncertainty. ICDE 2014: 136-147 - 2013
- [j3]Bin Yang, Chenjuan Guo, Christian S. Jensen:
Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models. Proc. VLDB Endow. 6(9): 769-780 (2013) - [j2]Chenjuan Guo, Cornelia Hedeler, Norman W. Paton, Alvaro A. A. Fernandes:
EvoMatch: An Evolutionary Algorithm for Inferring Schematic Correspondences. Trans. Large Scale Data Knowl. Centered Syst. 12: 1-26 (2013) - [c4]Chenjuan Guo, Cornelia Hedeler, Norman W. Paton, Alvaro A. A. Fernandes:
MatchBench: Benchmarking Schema Matching Algorithms for Schematic Correspondences. BNCOD 2013: 92-106 - [p1]Cornelia Hedeler, Alvaro A. A. Fernandes, Khalid Belhajjame, Lu Mao, Chenjuan Guo, Norman W. Paton, Suzanne M. Embury:
A Functional Model for Dataspace Management Systems. Advanced Query Processing (1) 2013: 305-341 - 2012
- [j1]Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Chenjuan Guo, Ian Arundale, Bernadette Farias Lóscio, Norman W. Paton, Alvaro A. A. Fernandes, Suzanne M. Embury:
DSToolkit: An Architecture for Flexible Dataspace Management. Trans. Large Scale Data Knowl. Centered Syst. 5: 126-157 (2012) - [c3]Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul:
EcoMark: evaluating models of vehicular environmental impact. SIGSPATIAL/GIS 2012: 269-278 - 2011
- [b1]Chenjuan Guo:
Inferring information about correspondences between data sources for dataspaces. University of Manchester, UK, 2011 - [c2]Cornelia Hedeler, Khalid Belhajjame, Norman W. Paton, Alvaro A. A. Fernandes, Suzanne M. Embury, Lu Mao, Chenjuan Guo:
Pay-as-you-go mapping selection in dataspaces. SIGMOD Conference 2011: 1279-1282 - 2010
- [c1]Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Norman W. Paton, Alvaro A. A. Fernandes, Chenjuan Guo, Suzanne M. Embury:
Flexible Dataspace Management Through Model Management. EDBT/ICDT Workshops 2010
Coauthor Index
[j32] [j31] [j30] [c41] [c40] [i62] [i61] [i55] [i48] [i42] [j29] [j28] [j27] [j26] [j25] [j24] [j22] [j21] [c30] [c29] [c27] [i38] [i37] [i36] [i33] [i31] [i26] [i25] [i22] [j20] [j19] [j16] [c26] [i20] [i18] [c25] [c24] [c22] [c18] [i16] [i15] [i12] [i11] [i9] [j13] [j12] [i6] [i5] [j11] [c15] [j10] [c13] [c12] [j9] [j8] [c11] [c9] [i4] [i2] [j7] [c8] [j6] [j5] [c6] [i1] [j4] [c5] [j3] [c3]
[j32] [j31] [j30] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [c32] [c31] [c30] [c29] [c28] [c27] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [j20] [j19] [j18] [j17] [j16] [j15] [c26] [i20] [i19] [i18] [j14] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [j13] [j12] [c17] [c16] [i8] [i7] [i6] [i5] [j11] [c15] [c14] [c13] [c12] [j9] [j8] [c11] [c10] [c9] [i4] [i3] [i2] [j7] [c8] [j6] [j5] [c7] [c6] [i1] [j4] [c5] [j3] [c3]
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