Lu, Yiyang

7 publications

ICLR 2026 Biologically Plausible Learning via Bidirectional Spike-Based Distillation Yifei Wang, Zhangyanxun, Changze Lv, Yiyang Lu, Jingwen Xu, Xiaohua Wang, Di Yu, Xin Du, Xuanjing Huang, Xiaoqing Zheng

ICLR 2026 Following the Navigation: Enhancing Small Language Models Contextual Reasoning with LLM Guidance Xiaoqi Ni, Jie Wang, Lin Yang, Yiyang Lu, Hanzhu Chen, Rui Liu, Jianye Hao

ICLR 2026 H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning Yiyang Lu, Yufeng Tian, Zhecheng Yuan, Xianbang Wang, Pu Hua, Zhengrong Xue, Huazhe Xu

ICML 2025 Boosting Multi-Domain Fine-Tuning of Large Language Models Through Evolving Interactions Between Samples Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao

TMLR 2025 Decentralized Projection-Free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization Yiyang Lu, Mohammad Pedramfar, Vaneet Aggarwal

ICML 2025 Dendritic Localized Learning: Toward Biologically Plausible Algorithm Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang

NeurIPS 2025 GeneFlow: Translation of Single-Cell Gene Expression to Histopathological Images via Rectified Flow Mengbo Wang, Shourya Verma, Aditya Malusare, Luopin Wang, Yiyang Lu, Vaneet Aggarwal, Mario Sola, Ananth Grama, Nadia Atallah Lanman