Xinyang Chen

According to our database, Xinyang Chen authored at least 28 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Toward Learning Shift-Invariant Representations for Healthcare Series Classification.

Yuanbo Liu, Xiucheng Li, Xinyang Chen, Hongwei Liu, Zhijun Li

IEEE Trans. Knowl. Data Eng., May, 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

Trans. Mach. Learn. Res., 2026

LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models.

Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking.

Weiyang Huang, Xuefeng Bai, Kehai Chen, Xinyang Chen, Yibin Chen, Weili Guan, Min Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

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

CoRR, October, 2025

S²Transformer: Scalable Structured Transformers for Global Station Weather Forecasting.

Hongyi Chen, Xiucheng Li, Xinyang Chen, Yun Cheng, Jing Li, Kehai Chen, Liqiang Nie

CoRR, September, 2025

Towards Scalable and Structured Spatiotemporal Forecasting.

Hongyi Chen, Xiucheng Li, Xinyang Chen, Jing Li, Kehai Chen, Liqiang Nie

CoRR, September, 2025

Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models.

Xinyuan Liu, Jiahui Chen, Bocheng Hu, Yu Sun, Xinyang Chen, Shaoxu Song

CoRR, July, 2025

MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments.

Zhengsheng Guo, Linwei Zheng, Xinyang Chen, Xuefeng Bai, Kehai Chen, Min Zhang

CoRR, March, 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

Trans. Mach. Learn. Res., 2025

Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series.

Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

Trans. Mach. Learn. Res., 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales.

Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Recommender Transformers with Behavior Pathways.

Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long

Proceedings of the ACM on Web Conference 2024, 2024

Frequency-aware Generative Models for Multivariate Time Series Imputation.

Xinyu Yang, Yu Sun, Xiaojie Yuan, Xinyang Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Boosting Transferability and Discriminability for Time Series Domain Adaptation.

Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics.

Xiaodan Chen, Xiucheng Li, Xinyang Chen, Zhijun Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment.

Haokun Gui, Xiucheng Li, Xinyang Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation.

Xinyu Yang, Yu Sun, Shaoxu Song, Xiaojie Yuan, Xinyang Chen

Proceedings of the Database Systems for Advanced Applications, 2024

2022

X-model: Improving Data Efficiency in Deep Learning with A Minimax Model.

Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Representation Subspace Distance for Domain Adaptation Regression.

Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Progressive Adversarial Networks for Fine-Grained Domain Adaptation.

Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning.

Xinyang Chen, Sinan Wang, Bo Fu, Mingsheng Long, Jianmin Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation.

Xinyang Chen, Sinan Wang, Mingsheng Long, Jianmin Wang

Proceedings of the 36th International Conference on Machine Learning, 2019