Selected Publications
Full list: [DBLP](https://dblp.org/pers/hd/g/Guo:Chenjuan), [Google Scholar](https://scholar.google.dk/citations?user=WMXNm88AAAAJ&hl=en).
- 2026
- Junkai Lu, Peng Chen, Xingjian Wu, Yang Shu, Chenjuan Guo, Christian S. Jensen, Bin Yang:PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering. ICML
- Hanyin Cheng, Jingrong Zhou, Yang Shu, Chenjuan Guo:KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables. ICML
- Shiyan Hu, Tengxue Zhang, Jianxin Jin, Xiangfei Qiu, Bin Yang, Chenjuan Guo:TeamWork: Multivariate Time Series Anomaly Detection via Asymmetric Role-aware Channel Modeling. ICML
- Kangjia Yan, Chenxi Liu, Hao Miao, Xinle Wu, Yan Zhao, Chenjuan Guo, Bin Yang:Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising. ICML
- Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo:Aurora: Towards Universal Generative Multimodal Time Series Forecasting. ICLR
- 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. ICLR
- Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang:GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables. ICLR
- Jindong Tian, Yifei Ding, Ronghui Xu, Hao Miao, Chenjuan Guo, Bin Yang:ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting. ICLR
- Siyuan Wang, Peng Chen, Yihang Wang, Wanghui Qiu, Chenjuan Guo, Bin Yang, Yang Shu:Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series. ICLR
- 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. ICLR
- Hanyin Cheng, Xingjian Wu, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter. ICLR
- Shiyan Hu, Jianxin Jin, Yang Shu, Peng Chen, Bin Yang, Chenjuan Guo:Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction. ICLR
- Junkai Lu, Peng Chen, Chenjuan Guo, Yang Shu, Meng Wang, Bin Yang:Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing. AAAI
- Ronghui Xu, Jihao Chen, Jindong Tian, Chenjuan Guo, Bin Yang:MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction. KDD
- Hanyin Cheng, Xingjian Wu, Xiangfei Qiu, Yang Shu, Bin Yang, Chenjuan Guo:CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting. KDD
- Zhe Li, Jindong Tian, Hao Miao, Zhi Lei, Chenjuan Guo, Bin Yang:TiWeaver: Unified Temporal Dynamics Modeling via Contextual Patching. KDD
- David Campos, Bin Yang, Tung Kieu, Lei Chen, Chenjuan Guo, Christian S. Jensen:TimeBlocks: Versatile and Continual Time-Series Blockbase. KDD
- 2025
- Kasper Skytte Andersen, Kai Zhao, Alexander de Linde Agerskov, Christian Bro Sørensen, Trine Juhl Holmager, Marta Nierychlo, Miriam Peces, Chenjuan Guo, Per Halkjær Nielsen:Predicting microbial community structure and temporal dynamics by using graph neural network models. Nature Communications
- 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. NeurIPS
- 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. NeurIPS Spotlight
- Siru Zhong, Junjie Qiu, Yangyu Wu, Xingchen Zou, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang:Learning to Factorize Spatio-Temporal Foundation Models. NeurIPS Spotlight
- Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang:DBLoss: Decomposition-based Loss Function for Time Series Forecasting. NeurIPS
- Kai Zhao, Yuying Qiu, Yunyao Cheng, Christian S. Jensen, Xiaokui Xiao, Bin Yang, Chenjuan Guo:Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. KDD
- Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:LightGTS: A Lightweight General Time Series Forecasting Model. ICML
- Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer. ICML
- Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo:K^2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. ICML
- Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang:TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting. KDD
- 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. PVLDB
- 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. TKDE
- 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. TKDE
- 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
- Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang:Enhancing Diversity for Data-free Quantization. CVPR ORAL
- 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
- 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
- Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen:Data Driven Decision Making with Time Series and Spatio-Temporal Data. 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:EasyTime: Time Series Forecasting Made Easy. ICDE
- Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang:Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. ICLR
- 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
- 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
- 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
- Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang:DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. KDD
- 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
- 2024
- Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:Fully Automated Correlated Time Series Forecasting in Minutes. PVLDB
- Yunyao Cheng, Chenjuan Guo, Bin Yang, Haomin Yu, Kai Zhao, Christian S. Jensen:A Memory Guided Transformer for Time Series Forecasting. PVLDB
- Zhihao Zhuang, Yingying Zhang, Kai Zhao, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan:Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection. PVLDB
- 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. PVLDB
- 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. PVLDB
- David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. PVLDB
- Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen:Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. PVLDB
- 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 Journal
- 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
- Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp:Routing with Massive Trajectory Data. ICDE
- 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
- 2023
- 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
- 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
- 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. PVLDB
- Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:LightPath: Lightweight and Scalable Path Representation Learning. KDD
- Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li:CGF: A Category Guidance Based PM2.5 Sequence Forecasting Training Framework. TKDE
- 2022
- Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:RetroGraph: Retrosynthetic Planning with Graph Search. KDD
- Sean Bin Yang, Chenjuan Guo, Bin Yang:Context-Aware Path Ranking in Road Networks. TKDE
- 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
- 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
- Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:Towards Spatio-Temporal Aware Traffic Time Series Forecasting. ICDE
- 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
- 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
- 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