Xinyang Chen - RankMe

31 papers A* 14Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models. KDD (1) Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen
2026	J	`jnl`	S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting. Trans. Mach. Learn. Res. Hongyi Chen, Xiucheng Li, Xinyang Chen, Yun Cheng, Jing Li, Kehai Chen, Liqiang Nie
2026	J	`jnl`	Toward Learning Shift-Invariant Representations for Healthcare Series Classification. IEEE Trans. Knowl. Data Eng. Yuanbo Liu, Xiucheng Li, Xinyang Chen, Hongwei Liu, Zhijun Li
2025	A*	`conf`	A Survey on the Feedback Mechanism of LLM-based AI Agents. IJCAI Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang
2025	A*	`conf`	Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. AAAI Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang
2025	J	`jnl`	Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts. Trans. Mach. Learn. Res. Weiyang Zhang, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie
2025	A*	`conf`	Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales. AAAI Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan
2025	A*	`conf`	Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin. ICML Yuchen Wang, Xuefeng Bai, Xiucheng Li, Weili Guan, Liqiang Nie, Xinyang Chen
2025	J	`jnl`	Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin. CoRR Yuchen Wang, Xuefeng Bai, Xiucheng Li, Weili Guan, Liqiang Nie, Xinyang Chen
2025	J	`jnl`	LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language Models. CoRR Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen
2025	J	`jnl`	Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series. Trans. Mach. Learn. Res. Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie
2025	J	`jnl`	MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments. CoRR Zhengsheng Guo, Linwei Zheng, Xinyang Chen, Xuefeng Bai, Kehai Chen, Min Zhang
2025	J	`jnl`	S CoRR Hongyi Chen, Xiucheng Li, Xinyang Chen, Yun Cheng, Jing Li, Kehai Chen, Liqiang Nie
2025	J	`jnl`	SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning. CoRR Tengxue Zhang, Biao Ouyang, Yang Shu, Xinyang Chen, Chenjuan Guo, Bin Yang
2025	J	`jnl`	Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models. CoRR Xinyuan Liu, Jiahui Chen, Bocheng Hu, Yu Sun, Xinyang Chen, Shaoxu Song
2025	J	`jnl`	Towards Scalable and Structured Spatiotemporal Forecasting. CoRR Hongyi Chen, Xiucheng Li, Xinyang Chen, Jing Li, Kehai Chen, Liqiang Nie
2024	—	`conf`	Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation. DASFAA (2) Xinyu Yang, Yu Sun, Shaoxu Song, Xiaojie Yuan, Xinyang Chen
2024	J	`jnl`	Assessing Pre-trained Models for Transfer Learning through Distribution of Spectral Components. CoRR Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang
2024	A*	`conf`	Boosting Transferability and Discriminability for Time Series Domain Adaptation. NeurIPS Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie
2024	A*	`conf`	Frequency-aware Generative Models for Multivariate Time Series Imputation. NeurIPS Xinyu Yang, Yu Sun, Xiaojie Yuan, Xinyang Chen
2024	J	`jnl`	Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales. CoRR Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan
2024	A*	`conf`	Recommender Transformers with Behavior Pathways. WWW Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long
2024	A*	`conf`	Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics. NeurIPS Xiaodan Chen, Xiucheng Li, Xinyang Chen, Zhijun Li
2024	A*	`conf`	Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment. ICML Haokun Gui, Xiucheng Li, Xinyang Chen
2022	J	`jnl`	Recommender Transformers with Behavior Pathways. CoRR Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long
2022	A*	`conf`	X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. ICLR Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Representation Subspace Distance for Domain Adaptation Regression. ICML Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. CoRR Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long
2020	A*	`conf`	Progressive Adversarial Networks for Fine-Grained Domain Adaptation. CVPR Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang
2019	A*	`conf`	Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning. NeurIPS Xinyang Chen, Sinan Wang, Bo Fu, Mingsheng Long, Jianmin Wang
2019	A*	`conf`	Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation. ICML Xinyang Chen, Sinan Wang, Mingsheng Long, Jianmin Wang