Sun, Yan

27 publications

TMLR 2026 Subspace Based Federated Unlearning Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao

NeurIPS 2025 Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao

NeurIPS 2025 Foundations of Top-$k$ Decoding for Language Models Georgy Noarov, Soham Mallick, Tao Wang, Sunay Joshi, Yan Sun, Yangxinyu Xie, Mengxin Yu, Edgar Dobriban

ICLR 2025 In-Context Time Series Predictor Jiecheng Lu, Yan Sun, Shihao Yang

NeurIPS 2025 Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning Zihao Jing, Yan Sun, Yan Yi Li, Sugitha Janarthanan, Alana Deng, Pingzhao Hu

ICLR 2025 Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation Yan Sun, Stanley Kok

ICML 2025 WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

ICLRW 2025 Watermarking Language Models with Error Correcting Codes Patrick Chao, Yan Sun, Edgar Dobriban, Hamed Hassani

NeurIPS 2025 ZeroS: Zero‑Sum Linear Attention for Efficient Transformers Jiecheng Lu, Xu Han, Yan Sun, Viresh Pati, Yubin Kim, Siddhartha Somani, Shihao Yang

NeurIPS 2024 A-FedPD: Aligning Dual-Drift Is All Federated Primal-Dual Learning Needs Yan Sun, Li Shen, Dacheng Tao

ICML 2024 CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

ICLR 2024 Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan

CHIL 2024 From Basic to Extra Features: Hypergraph Transformer Pretrain-Then-Finetuning for Balanced Clinical Predictions on EHR Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C Ho, Carl Yang

ICLR 2024 MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy Yan Sun, Jicong Fan

TMLR 2024 Visual Prompt Based Personalized Federated Learning Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao

NeurIPS 2023 Active Negative Loss Functions for Learning with Noisy Labels Xichen Ye, Xiaoqiang Li, Songmin Dai, Tong Liu, Yan Sun, Weiqin Tong

ICML 2023 Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao

ICLR 2023 FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao

TMLR 2023 Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao

ICML 2023 Improving the Model Consistency of Decentralized Federated Learning Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao

NeurIPS 2023 Sparse Deep Learning for Time Series Data: Theory and Applications Mingxuan Zhang, Yan Sun, Faming Liang

NeurIPS 2023 Understanding How Consistency Works in Federated Learning via Stage-Wise Relaxed Initialization Yan Sun, Li Shen, Dacheng Tao

NeurIPS 2022 Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network Siqi Liang, Yan Sun, Faming Liang

NeurIPS 2021 Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration Yan Sun, Wenjun Xiong, Faming Liang

AAAI 2018 Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng

ICML 2018 Variable Selection via Penalized Neural Network: A Drop-Out-One Loss Approach Mao Ye, Yan Sun

MLJ 2016 Fast Learning of Relational Dependency Networks Oliver Schulte, Zhensong Qian, Arthur E. Kirkpatrick, Xiaoqian Yin, Yan Sun