Chen, Xinyang

21 publications

TMLR 2026 S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting Hongyi Chen, Xiucheng Li, Xinyang Chen, Yun Cheng, Jing Li, Kehai Chen, Liqiang Nie

ICLR 2026 SwiftTS: A Swift Selection Framework for Time Series Pre-Trained Models via Multi-Task Meta-Learning Tengxue Zhang, Biao Ouyang, Yang Shu, Xinyang Chen, Chenjuan Guo, Bin Yang

IJCAI 2025 A Survey on the Feedback Mechanism of LLM-Based AI Agents Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang

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

TMLR 2025 Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts Weiyang Zhang, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

NeurIPS 2025 Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation Mingyang Liu, Xinyang Chen, Xiucheng Li, Weili Guan, Liqiang Nie

ICCV 2025 Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-Ray Classification Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie

AAAI 2025 Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan

ICML 2025 Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin Yuchen Wang, Xuefeng Bai, Xiucheng Li, Weili Guan, Liqiang Nie, Xinyang Chen

TMLR 2025 Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

NeurIPS 2025 Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

NeurIPS 2025 Unified Transferability Metrics for Time Series Foundation Models Weiyang Zhang, Xinyang Chen, Xiucheng Li, Kehai Chen, Weili Guan, Liqiang Nie

NeurIPS 2024 Boosting Transferability and Discriminability for Time Series Domain Adaptation Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie

NeurIPS 2024 Frequency-Aware Generative Models for Multivariate Time Series Imputation Xinyu Yang, Yu Sun, Xiaojie Yuan, Xinyang Chen

NeurIPS 2024 Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics Xiaodan Chen, Xiucheng Li, Xinyang Chen, Zhijun Li

ICML 2024 Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment Haokun Gui, Xiucheng Li, Xinyang Chen

ICLR 2022 X-Model: Improving Data Efficiency in Deep Learning with a Minimax Model Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long

ICML 2021 Representation Subspace Distance for Domain Adaptation Regression Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long

CVPR 2020 Progressive Adversarial Networks for Fine-Grained Domain Adaptation Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang

NeurIPS 2019 Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning Xinyang Chen, Sinan Wang, Bo Fu, Mingsheng Long, Jianmin Wang

ICML 2019 Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation Xinyang Chen, Sinan Wang, Mingsheng Long, Jianmin Wang