Guo, Chenjuan

20 publications

ICML 2025 $K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo

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

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

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

NeurIPS 2025 CrossAD: Time Series Anomaly Detection with Cross-Scale Associations and Cross-Window Modeling Beibu Li, Qichao Shentu, Yang Shu, Hui Zhang, Ming Li, Ning Jin, Bin Yang, Chenjuan Guo

NeurIPS 2025 DBLoss: Decomposition-Based Loss Function for Time Series Forecasting Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang

CVPR 2025 Enhancing Diversity for Data-Free Quantization Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang

NeurIPS 2025 Enhancing Time Series Forecasting Through Selective Representation Spaces: A Patch Perspective Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang

ICLR 2025 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang

NeurIPS 2025 Learning to Factorize Spatio-Temporal Foundation Models Siru Zhong, Junjie Qiu, Yangyu Wu, Xingchen Zou, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

ICML 2025 LightGTS: A Lightweight General Time Series Forecasting Model Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

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

ICML 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

ECML-PKDD 2024 A Crystal Knowledge-Enhanced Pre-Training Framework for Crystal Property Estimation Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen

ECCV 2024 Dependency-Aware Differentiable Neural Architecture Search Buang Zhang, Xinle Wu, Hao Miao, Bin Yang, Chenjuan Guo

ICLR 2024 Pathformer: Multi-Scale Transformers with Adaptive Pathways for Time Series Forecasting Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo

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

NeurIPS 2022 Weighted Mutual Learning with Diversity-Driven Model Compression Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang

IJCAI 2021 Unsupervised Path Representation Learning with Curriculum Negative Sampling Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang

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