Huang, Xunpeng

10 publications

ICML 2025 What Makes In-Context Learning Effective for Mathematical Reasoning Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, Chengxiang Zhai, Enhong Chen

COLT 2024 Faster Sampling Without Isoperimetry via Diffusion-Based Monte Carlo Xunpeng Huang, Difan Zou, Hanze Dong, Yi-An Ma, Tong Zhang

ICML 2024 Faster Sampling via Stochastic Gradient Proximal Sampler Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang

ICLR 2024 Reverse Diffusion Monte Carlo Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang

NeurIPS 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang

ICMLW 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang

AAAI 2021 ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li

AAAI 2020 SPAN: A Stochastic Projected Approximate Newton Method Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li

AAAI 2018 Confidence-Aware Matrix Factorization for Recommender Systems Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

IJCAI 2017 Incremental Matrix Factorization: A Linear Feature Transformation Perspective Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang