Hu, Jilin

14 publications

ICLR 2026 ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu

ICLR 2026 GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang

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

IJCAI 2025 ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu

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

NeurIPS 2025 PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-Trained Language Models Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan

IJCAI 2025 TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan

NeurIPS 2025 TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability Tonglong Wei, Yan Lin, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan

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

CVPR 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang

AAAI 2022 Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems Frederik Baymler Mathiesen, Bin Yang, Jilin Hu

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