Li, Xiucheng

18 publications

ICLR 2026 Knowledge Fusion of Large Language Models via Modular SkillPacks Guodong Du, Zhuo Li, Xuanning Zhou, Junlin Li, Zesheng Shi, Wanyu Lin, Ho-Kin Tang, Xiucheng Li, Fangming Liu, Wenya Wang, Min Zhang, Jing Li

ICLR 2026 Multi-Objective Large Language Model Alignment with Hierarchical Experts Zhuo Li, Guodong Du, Weiyang Guo, Yigeng Zhou, Xiucheng Li, Wenya Wang, Fangming Liu, Yequan Wang, Deheng Ye, Min Zhang, Jing Li

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

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

NeurIPS 2025 Boundary-Value PDEs Meet Higher-Order Differential Topology-Aware GNNs Yunfeng Liao, Yangxin Wu, Xiucheng Li

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

ICML 2025 Curvature-Aware Graph Attention for PDEs on Manifolds Yunfeng Liao, Jiawen Guan, Xiucheng Li

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

NeurIPS 2025 Exploring the Translation Mechanism of Large Language Models Hongbin Zhang, Kehai Chen, Xuefeng Bai, Xiucheng Li, Yang Xiang, Min Zhang

ICML 2025 FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong

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

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

ICLR 2024 Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values Xiaodan Chen, Xiucheng Li, Bo Liu, Zhijun Li

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 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 2023 Multivariate Time-Series Imputation with Disentangled Temporal Representations Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang

ECML-PKDD 2016 Finding Dynamic Co-Evolving Zones in Spatial-Temporal Time Series Data Yun Cheng, Xiucheng Li, Yan Li