Yan, Ran

8 publications

ICLR 2026 FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel Ran Yan, Youhe Jiang, Zhuoming Chen, Haohui Mai, Beidi Chen, Binhang Yuan

ICLR 2026 UltraLLaDA: Scaling the Context Length to 128k for Diffusion Large Language Models Guangxin He, Shen Nie, Fengqi Zhu, Yuankang Zhao, Tianyi Bai, Ran Yan, Jie Fu, Chongxuan Li, Binhang Yuan

ICLR 2025 HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment Youhe Jiang, Ran Yan, Binhang Yuan

NeurIPS 2025 MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization Rizhen Hu, Yutong He, Ran Yan, Mou Sun, Binhang Yuan, Kun Yuan

ICML 2024 HexGen: Generative Inference of Large Language Model over Heterogeneous Environment Youhe Jiang, Ran Yan, Xiaozhe Yao, Yang Zhou, Beidi Chen, Binhang Yuan

NeurIPS 2024 RFLPA: A Robust Federated Learning Framework Against Poisoning Attacks with Secure Aggregation Peihua Mai, Ran Yan, Yan Pang

ICML 2024 Split-and-Denoise: Protect Large Language Model Inference with Local Differential Privacy Peihua Mai, Ran Yan, Zhe Huang, Youjia Yang, Yan Pang

ECCV 2022 MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu