Flexible Dataspace Management Through Model Management. - Cornelia Hedeler; Khalid Belhajjame; Lu Mao; Norman W. Paton; Alvaro A. A. Fernandes; Chenjuan Guo; Suzanne M. Embury (EDBT/ICDT Workshops, 2010)

Pay-as-you-go mapping selection in dataspaces. - Cornelia Hedeler; Khalid Belhajjame; Norman W. Paton; Alvaro A. A. Fernandes; Suzanne M. Embury; Lu Mao; Chenjuan Guo (SIGMOD Conference, 2011)

Inferring information about correspondences between data sources for dataspaces. - Chenjuan Guo (2011)

EcoMark: evaluating models of vehicular environmental impact. - Chenjuan Guo; Yu Ma; Bin Yang 002; Christian S. Jensen; Manohar Kaul (SIGSPATIAL/GIS, 2012)

DSToolkit: An Architecture for Flexible Dataspace Management. - Cornelia Hedeler; Khalid Belhajjame; Lu Mao; Chenjuan Guo; Ian Arundale; Bernadette Farias Lóscio; Norman W. Paton; Alvaro A. A. Fernandes; Suzanne M. Embury (Trans. Large Scale Data Knowl. Centered Syst., 2012)

MatchBench: Benchmarking Schema Matching Algorithms for Schematic Correspondences. - Chenjuan Guo; Cornelia Hedeler; Norman W. Paton; Alvaro A. A. Fernandes (BNCOD, 2013)

Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models. - Bin Yang 002; Chenjuan Guo; Christian S. Jensen (Proc. VLDB Endow., 2013)

EvoMatch: An Evolutionary Algorithm for Inferring Schematic Correspondences. - Chenjuan Guo; Cornelia Hedeler; Norman W. Paton; Alvaro A. A. Fernandes (Trans. Large Scale Data Knowl. Centered Syst., 2013)

A Functional Model for Dataspace Management Systems. - Cornelia Hedeler; Alvaro A. A. Fernandes; Khalid Belhajjame; Lu Mao; Chenjuan Guo; Norman W. Paton; Suzanne M. Embury (Advanced Query Processing (1), 2013)

Stochastic skyline route planning under time-varying uncertainty. - Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Manohar Kaul; Shuo Shang (ICDE, 2014)

Towards Total Traffic Awareness. - Chenjuan Guo; Christian S. Jensen; Bin Yang 002 (SIGMOD Rec., 2014)

Personalized route recommendation using big trajectory data. - Jian Dai; Bin Yang 002; Chenjuan Guo; Zhiming Ding (ICDE, 2015)

EcoSky: Reducing vehicular environmental impact through eco-routing. - Chenjuan Guo; Bin Yang 002; Ove Andersen; Christian S. Jensen; Kristian Torp (ICDE, 2015)

Efficient and Accurate Path Cost Estimation Using Trajectory Data. - Jian Dai; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (CoRR, 2015)

EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data. - Chenjuan Guo; Bin Yang 002; Ove Andersen; Christian S. Jensen; Kristian Torp (GeoInformatica, 2015)

Toward personalized, context-aware routing. - Bin Yang 002; Chenjuan Guo; Yu Ma; Christian S. Jensen (VLDB J., 2015)

Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data. - Hua Lu 001; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (EDBT, 2016)

Path Cost Distribution Estimation Using Trajectory Data. - Jian Dai; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Jilin Hu (Proc. VLDB Endow., 2016)

Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. - Razvan-Gabriel Cirstea; Darius-Valer Micu; Gabriel-Marcel Muresan; Chenjuan Guo; Bin Yang 002 (CIKM, 2018)

Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (CIKM, 2018)

Learning to Route with Sparse Trajectory Sets. - Chenjuan Guo; Bin Yang 002; Jilin Hu; Christian S. Jensen (ICDE, 2018)

Learning to Route with Sparse Trajectory Sets - Extended Version. - Chenjuan Guo; Bin Yang 002; Jilin Hu; Christian S. Jensen (CoRR, 2018)

Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. - Razvan-Gabriel Cirstea; Darius-Valer Micu; Gabriel-Marcel Muresan; Chenjuan Guo; Bin Yang 002 (CoRR, 2018)

Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. - Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen; Lu Chen 001 (CoRR, 2018)

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. - Jilin Hu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (VLDB J., 2018)

PACE: a PAth-CEntric paradigm for stochastic path finding. - Bin Yang 002; Jian Dai; Chenjuan Guo; Christian S. Jensen; Jilin Hu (VLDB J., 2018)

Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. - Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (ICDE, 2019)

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (IJCAI, 2019)

Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories. - Lu Chen 001; Yunjun Gao; Ziquan Fang; Xiaoye Miao; Christian S. Jensen; Chenjuan Guo (Proc. VLDB Endow., 2019)

Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. - Jilin Hu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Hui Xiong 001 (ICDE, 2020)

A Correlated Time Series Forecast System. - Nicolaj Casanova Abildgaard; Casper Weiss Bang; Jonas Hansen; Tobias Lambek Jacobsen; Thomas Højriis Knudsen; Nichlas Ørts Lisby; Chenjuan Guo; Bin Yang 002 (MDM, 2020)

Context-aware, preference-based vehicle routing. - Chenjuan Guo; Bin Yang 002; Jilin Hu; Christian S. Jensen; Lu Chen 001 (VLDB J., 2020)

EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. - Razvan-Gabriel Cirstea; Tung Kieu; Chenjuan Guo; Bin Yang 002; Sinno Jialin Pan (ICDE, 2021)

Unsupervised Path Representation Learning with Curriculum Negative Sampling. - Sean Bin Yang; Chenjuan Guo; Jilin Hu; Jian Tang 005; Bin Yang 002 (IJCAI, 2021)

Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002 (CoRR, 2021)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (CoRR, 2021)

AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. - Xinle Wu; Dalin Zhang 001; Chenjuan Guo; Chaoyang He 001; Bin Yang 002; Christian S. Jensen (CoRR, 2021)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2021)

AutoCTS: Automated Correlated Time Series Forecasting. - Xinle Wu; Dalin Zhang 001; Chenjuan Guo; Chaoyang He 001; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2021)

Towards Spatio- Temporal Aware Traffic Time Series Forecasting. - Razvan-Gabriel Cirstea; Bin Yang 002; Chenjuan Guo; Tung Kieu; Shirui Pan (ICDE, 2022)

Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Razvan-Gabriel Cirstea; Yan Zhao 008; Yale Song; Christian S. Jensen (ICDE, 2022)

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Yan Zhao 008; Feiteng Huang; Kai Zheng 001 (ICDE, 2022)

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. - Sean Bin Yang; Chenjuan Guo; Jilin Hu; Bin Yang 002; Jian Tang 005; Christian S. Jensen (ICDE, 2022)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (IJCAI, 2022)

RetroGraph: Retrosynthetic Planning with Graph Search. - Shufang Xie 003; Rui Yan 001; Peng Han 005; Yingce Xia; Lijun Wu 003; Chenjuan Guo; Bin Yang 002; Tao Qin 001 (KDD, 2022)

Weighted Mutual Learning with Diversity-Driven Model Compression. - Miao Zhang; Li Wang 148; David Campos 002; Wei Huang 034; Chenjuan Guo; Bin Yang 002 (NeurIPS, 2022)

Outlier Detection for Streaming Task Assignment in Crowdsourcing. - Yan Zhao 008; Xuanhao Chen 001; Liwei Deng 001; Tung Kieu; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (WWW, 2022)

Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. - Razvan-Gabriel Cirstea; Bin Yang 002; Chenjuan Guo; Tung Kieu; Shirui Pan (CoRR, 2022)

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. - Sean Bin Yang; Chenjuan Guo; Jilin Hu; Bin Yang 002; Jian Tang 005; Christian S. Jensen (CoRR, 2022)

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Yan Zhao 008; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (CoRR, 2022)

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. - Yan Zhao 008; Liwei Deng 001; Xuanhao Chen 001; Chenjuan Guo; Bin Yang 002; Tung Kieu; Feiteng Huang; Torben Bach Pedersen; Kai Zheng 001; Christian S. Jensen (CoRR, 2022)

Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (CoRR, 2022)

AutoPINN: When AutoML Meets Physics-Informed Neural Networks. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Shuai Zhao 003; Yi Zhang; Huai Wang; Bin Yang 002 (CoRR, 2022)

A Pattern Discovery Approach to Multivariate Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

Context-Aware Path Ranking in Road Networks. - Sean Bin Yang; Chenjuan Guo; Bin Yang 002 (IEEE Trans. Knowl. Data Eng., 2022)

LightPath: Lightweight and Scalable Path Representation Learning. - Sean Bin Yang; Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (KDD, 2023)

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. - David Campos 002; Miao Zhang; Bin Yang 002; Tung Kieu; Chenjuan Guo; Christian S. Jensen (CoRR, 2023)

A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. - Haomin Yu; Yanru Song 001; Jilin Hu; Chenjuan Guo; Bin Yang 002 (CoRR, 2023)

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. - David Campos 002; Miao Zhang; Bin Yang 002; Tung Kieu; Chenjuan Guo; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

MagicScaler: Uncertainty-aware, Predictive Autoscaling. - Zhicheng Pan; Yihang Wang 004; Yingying Zhang; Sean Bin Yang; Yunyao Cheng 001; Peng Chen 038; Chenjuan Guo; Qingsong Wen; Xiduo Tian; Yunliang Dou; Zhiqiang Zhou; Chengcheng Yang; et al. (Proc. VLDB Endow., 2023)

CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. - Haomin Yu; Jilin Hu; Xinyuan Zhou; Chenjuan Guo; Bin Yang 002; Qingyong Li (IEEE Trans. Knowl. Data Eng., 2023)

Weakly Guided Adaptation for Robust Time Series Forecasting. - Yunyao Cheng 001; Peng Chen 038; Chenjuan Guo; Kai Zhao 009; Qingsong Wen; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2023)

Multiple Time Series Forecasting with Dynamic Graph Modeling. - Kai Zhao 009; Chenjuan Guo; Yunyao Cheng 001; Peng Han 005; Miao Zhang; Bin Yang 002 (Proc. VLDB Endow., 2023)

Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. - Zhe Li 011; Ronghui Xu 001; Jilin Hu; Zhong Peng; Xi Lu; Chenjuan Guo; Bin Yang 002 (CIKM, 2024)

Dependency-Aware Differentiable Neural Architecture Search. - Buang Zhang; Xinle Wu; Hao Miao 001; Chenjuan Guo; Bin Yang 002 (ECCV (55), 2024)

A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. - Hao Miao 001; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Feiteng Huang; Jiandong Xie; Christian S. Jensen (ICDE, 2024)

Routing with Massive Trajectory Data. - Christian S. Jensen; Bin Yang 002; Chenjuan Guo; Jilin Hu; Kristian Torp (ICDE, 2024)

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. - Peng Chen 038; Yingying Zhang; Yunyao Cheng 001; Yang Shu 001; Yihang Wang 004; Qingsong Wen; Bin Yang 002; Chenjuan Guo (ICLR, 2024)

A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. - Haomin Yu; Yanru Song 001; Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (ECML/PKDD (10), 2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. - David Campos 002; Bin Yang 002; Tung Kieu; Miao Zhang; Chenjuan Guo; Christian S. Jensen (CoRR, 2024)

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version. - Chenjuan Guo; Ronghui Xu 001; Bin Yang 002; Ye Yuan; Tung Kieu; Yan Zhao 008; Christian S. Jensen (CoRR, 2024)

Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. - Zhe Li 011; Ronghui Xu 001; Jilin Hu; Zhong Peng; Xi Lu; Chenjuan Guo; Bin Yang 002 (CoRR, 2024)

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. - Zhe Li 011; Xiangfei Qiu; Peng Chen 038; Yihang Wang 004; Hanyin Cheng; Yang Shu 001; Jilin Hu; Chenjuan Guo; Aoying Zhou; Qingsong Wen; Christian S. Jensen; Bin Yang 002 (CoRR, 2024)

MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. - Shiyan Hu 004; Kai Zhao 009; Xiangfei Qiu; Yang Shu 001; Jilin Hu; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. - Kai Zhao 009; Zhihao Zhuang; Chenjuan Guo; Hao Miao 001; Yunyao Cheng 001; Bin Yang 002 (CoRR, 2024)

Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems. - Jindong Tian; Yuxuan Liang; Ronghui Xu 001; Peng Chen 038; Chenjuan Guo; Aoying Zhou; Lujia Pan; Zhongwen Rao; Bin Yang 002 (CoRR, 2024)

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version. - Hao Miao 001; Ziqiao Liu; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (CoRR, 2024)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version. - Ronghui Xu 001; Hanyin Cheng; Chenjuan Guo; Hongfan Gao; Jilin Hu; Sean Bin Yang; Bin Yang 002 (CoRR, 2024)

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. - Xiangfei Qiu; Jilin Hu; Lekui Zhou; Xingjian Wu; Junyang Du; Buang Zhang; Chenjuan Guo; Aoying Zhou; Christian S. Jensen; Zhenli Sheng; Bin Yang 002 (Proc. VLDB Endow., 2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. - David Campos 002; Bin Yang 002; Tung Kieu; Miao Zhang; Chenjuan Guo; Christian S. Jensen (Proc. VLDB Endow., 2024)

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. - Chenjuan Guo; Ronghui Xu 001; Bin Yang 002; Yuan Ye; Tung Kieu; Yan Zhao 008; Christian S. Jensen (Proc. VLDB Endow., 2024)

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. - Xinle Wu; Xingjian Wu; Bin Yang 002; Lekui Zhou; Chenjuan Guo; Xiangfei Qiu; Jilin Hu; Zhenli Sheng; Christian S. Jensen (VLDB J., 2024)

A Memory Guided Transformer for Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Bin Yang 002; Haomin Yu; Kai Zhao 009; Christian S. Jensen (Proc. VLDB Endow., 2024)

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching. - Hao Miao 001; Ziqiao Liu; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (Proc. VLDB Endow., 2024)

Fully Automated Correlated Time Series Forecasting in Minutes. - Xinle Wu; Xingjian Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2024)

RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. - Biao Ouyang; Yingying Zhang; Hanyin Cheng; Yang Shu 001; Chenjuan Guo; Bin Yang 002; Qingsong Wen; Lunting Fan; Christian S. Jensen (Proc. VLDB Endow., 2024)

Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection. - Zhihao Zhuang; Yingying Zhang; Kai Zhao 009; Chenjuan Guo; Bin Yang 002; Qingsong Wen; Lunting Fan (Proc. VLDB Endow., 2024)

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. - Tengxue Zhang; Yang Shu 001; Xinyang Chen 001; Yifei Long; Chenjuan Guo; Bin Yang 002 (AAAI, 2025)

Enhancing Diversity for Data-free Quantization. - Kai Zhao 009; Zhihao Zhuang; Miao Zhang; Chenjuan Guo; Yang Shu 001; Bin Yang 002 (CVPR, 2025)

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. - Yuxuan Chen; Shanshan Huang; Yunyao Cheng 001; Peng Chen 038; Zhongwen Rao; Yang Shu 001; Bin Yang 002; Lujia Pan; Chenjuan Guo (ICDE, 2025)

AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation. - Xiuwen Li; Qifeng Cai; Yang Shu 001; Chenjuan Guo; Bin Yang 002 (ICDE, 2025)

EasyTime: Time Series Forecasting Made Easy. - Xiangfei Qiu; Xiuwen Li; Ruiyang Pang; Zhicheng Pan; Xingjian Wu; Liu Yang; Jilin Hu; Yang Shu 001; Xuesong Lu; Chengcheng Yang; Chenjuan Guo; Aoying Zhou; et al. (ICDE, 2025)

Data Driven Decision Making with Time Series and Spatio-Temporal Data. - Bin Yang 002; Yuxuan Liang; Chenjuan Guo; Christian S. Jensen (ICDE, 2025)

Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. - Sicong Liu; Yang Shu 001; Chenjuan Guo; Bin Yang 002 (ICLR, 2025)

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. - Qichao Shentu; Beibu Li; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (ICLR, 2025)

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems. - Jindong Tian; Yuxuan Liang; Ronghui Xu 001; Peng Chen 038; Chenjuan Guo; Aoying Zhou; Lujia Pan; Zhongwen Rao; Bin Yang 002 (ICLR, 2025)

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching. - Xingjian Wu; Xiangfei Qiu; Zhengyu Li; Yihang Wang 004; Jilin Hu; Chenjuan Guo; Hui Xiong 001; Bin Yang 002 (ICLR, 2025)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning. - Ronghui Xu 001; Hanyin Cheng; Chenjuan Guo; Hongfan Gao; Jilin Hu; Sean Bin Yang; Bin Yang 002 (KDD (1), 2025)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. - Xiangfei Qiu; Xingjian Wu; Yan Lin 006; Chenjuan Guo; Jilin Hu; Bin Yang 002 (KDD (1), 2025)

A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective. - Xiangfei Qiu; Hanyin Cheng; Xingjian Wu; Jilin Hu; Chenjuan Guo (CoRR, 2025)

Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework. - Hao Miao 001; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2025)

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. - Xvyuan Liu; Xiangfei Qiu; Xingjian Wu; Zhengyu Li; Chenjuan Guo; Jilin Hu; Bin Yang 002 (CoRR, 2025)

K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. - Xingjian Wu; Xiangfei Qiu; Hongfan Gao; Jilin Hu; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

LightGTS: A Lightweight General Time Series Forecasting Model. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. - Xiangfei Qiu; Zhe Li 011; Wanghui Qiu; Shiyan Hu 004; Lekui Zhou; Xingjian Wu; Zhengyu Li; Chenjuan Guo; Aoying Zhou; Zhenli Sheng; Jilin Hu; Christian S. Jensen; et al. (CoRR, 2025)

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. - Peng Chen 038; Yihang Wang 004; Yang Shu 001; Yunyao Cheng 001; Kai Zhao 009; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (IEEE Trans. Knowl. Data Eng., 2025)