| 2026 | AAAI | XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs. | Xinyang Chen, Huidong Jin, Yu Huang, Zaiwen Feng |
| 2026 | AAAI | Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models. | Feiyang Ning, Xinyang Chen |
| 2026 | ACL | SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking. | Weiyang Huang, Xuefeng Bai, Kehai Chen, Xinyang Chen, Yibin Chen, Weili Guan, Min Zhang |
| 2026 | KDD | 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 |
| 2025 | AAAI | Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales. | Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan |
| 2025 | AAAI | Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. | Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang |
| 2025 | ICCV | Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-Ray Classification. | Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2025 | INFOCOM | Scaling Learning-based Packet Classification Hardware with NeuTree. | Jiashuo Yu, Longlong Zhu, Long Huang, Xinyang Chen, Linying Zheng, Dong Zhang, Xiang Chen, Chunming Wu |
| 2025 | PRICAI | UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection. | Guanyuan Zeng, Yingyi Fu, Sikai Lin, Xinyang Chen, Guoting Chen |
| 2024 | DASFAA | Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation. | Xinyu Yang, Yu Sun, Shaoxu Song, Xiaojie Yuan, Xinyang Chen |
| 2024 | ICML | Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment. | Haokun Gui, Xiucheng Li, Xinyang Chen |
| 2024 | LCN | CardSketch: Shift Attention for Network-wide Cardinality Telemetry. | Hanze Chen, Zhengyan Zhou, Xinyang Chen, Pengpai Shi, Yanni Wu, Longlong Zhu, Haodong Chen, Dong Zhang, Chunming Wu |
| 2024 | LCN | DOT: Towards Fast Decision Tree Packet Classification by Optimizing Rule Partitions. | Long Huang, Longlong Zhu, Jiashuo Yu, Xinyang Chen, Linying Zheng, Dong Zhang, Chunming Wu |
| 2024 | WWW | Recommender Transformers with Behavior Pathways. | Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long |
| 2022 | ICLR | X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. | Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long |
| 2021 | ICML | Representation Subspace Distance for Domain Adaptation Regression. | Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long |
| 2020 | CVPR | Progressive Adversarial Networks for Fine-Grained Domain Adaptation. | Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang |
| 2019 | ICML | Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation. | Xinyang Chen, Sinan Wang, Mingsheng Long, Jianmin Wang |
| 2019 | IGARSS | Denoising Algorithm Based on Local Distance Weighted Statistics for Photon Counting Lidar Point Data. | Weiqi Lian, Shaoning Li, Guo Zhang, Xinyang Chen, Zixuan Li |