Xunpeng Huang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Matrix Factorization

Markovian Decision

Feature Transformation

Top Venues

Publications

Xunpeng Huang, Hanze Dong, Difan Zou, Tong Zhang
An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling. CoRR (2024)
Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yi-An Ma, Tong Zhang
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference. CoRR (2024)
Xunpeng Huang, Difan Zou, Hanze Dong, Yi-An Ma, Tong Zhang
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo. COLT (2024)
Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo. CoRR (2024)
Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
Reverse Diffusion Monte Carlo. ICLR (2024)
Xunpeng Huang, Difan Zou, Yi-An Ma, Hanze Dong, Tong Zhang
Faster Sampling via Stochastic Gradient Proximal Sampler. CoRR (2024)
Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach. CoRR (2023)
Jingwei Zhang, Xunpeng Huang
Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates. CoRR (2022)
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. AAAI (2021)
Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs. CoRR (2020)
Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Yue Yu, Lei Li
SPAN: A Stochastic Projected Approximate Newton Method. CoRR (2020)
Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li
SPAN: A Stochastic Projected Approximate Newton Method. AAAI (2020)
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. CoRR (2020)
Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang
Confidence-Aware Matrix Factorization for Recommender Systems. AAAI (2018)
Hefu Zhang, Hongke Zhao, Qi Liu, Tong Xu, Enhong Chen, Xunpeng Huang
Finding potential lenders in P2P lending: A Hybrid Random Walk Approach. Inf. Sci. 432 (2018)
Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. DASFAA (1) (2018)
Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen
Generalized Neural Graph Embedding with Matrix Factorization. CoRR (2017)
Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang
Incremental Matrix Factorization: A Linear Feature Transformation Perspective. IJCAI (2017)