Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation. - Xinyang Chen 001; Sinan Wang; Mingsheng Long; Jianmin Wang 001 (ICML, 2019)

Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning. - Xinyang Chen 001; Sinan Wang; Bo Fu; Mingsheng Long; Jianmin Wang 001 (NeurIPS, 2019)

Progressive Adversarial Networks for Fine-Grained Domain Adaptation. - Sinan Wang; Xinyang Chen 001; Yunbo Wang; Mingsheng Long; Jianmin Wang 001 (CVPR, 2020)

Representation Subspace Distance for Domain Adaptation Regression. - Xinyang Chen 001; Sinan Wang; Jianmin Wang 001; Mingsheng Long (ICML, 2021)

X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. - Ximei Wang; Xinyang Chen 001; Jianmin Wang 001; Mingsheng Long (ICLR, 2022)

Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation. - Xinyu Yang; Yu Sun 027; Shaoxu Song; Xiaojie Yuan; Xinyang Chen 001 (DASFAA (2), 2024)

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment. - Haokun Gui; Xiucheng Li; Xinyang Chen 001 (ICML, 2024)

Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics. - Xiaodan Chen; Xiucheng Li; Xinyang Chen 001; Zhijun Li 002 (NeurIPS, 2024)

Boosting Transferability and Discriminability for Time Series Domain Adaptation. - Mingyang Liu; Xinyang Chen 001; Yang Shu 001; Xiucheng Li; Weili Guan; Liqiang Nie (NeurIPS, 2024)

Frequency-aware Generative Models for Multivariate Time Series Imputation. - Xinyu Yang; Yu Sun 027; Xiaojie Yuan; Xinyang Chen 001 (NeurIPS, 2024)

Recommender Transformers with Behavior Pathways. - Zhiyu Yao; Xinyang Chen 001; Sinan Wang; Qinyan Dai; Yumeng Li; Tanchao Zhu; Mingsheng Long (WWW, 2024)

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales. - Xinyu Yang; Yu Sun 027; Xinyang Chen 001; Ying Zhang 015; Xiaojie Yuan (AAAI, 2025)

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. - Tengxue Zhang; Yang Shu 001; Xinyang Chen 001; Yifei Long; Chenjuan Guo; Bin Yang 002 (AAAI, 2025)

Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series. - Jiacheng You; Xinyang Chen 001; Yu Sun 027; Weili Guan; Liqiang Nie (Trans. Mach. Learn. Res., 2025)

Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts. - Weiyang Zhang; Xinyang Chen 001; Yu Sun 027; Weili Guan; Liqiang Nie (Trans. Mach. Learn. Res., 2025)

MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments. - Zhengsheng Guo; Linwei Zheng; Xinyang Chen 001; Xuefeng Bai 001; Kehai Chen; Min Zhang 005 (CoRR, 2025)

Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin. - Yuchen Wang; Xuefeng Bai 001; Xiucheng Li; Weili Guan; Liqiang Nie; Xinyang Chen 001 (CoRR, 2025)

Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models. - Xinyuan Liu; Jiahui Chen; Bocheng Hu; Yu Sun 027; Xinyang Chen 001; Shaoxu Song (CoRR, 2025)