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Journal Articles
- 2018
[j1]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: 376-391 (2018)
Conference and Workshop Papers
- 2024
- [c8]Xunpeng Huang, Difan Zou, Hanze Dong, Yi-An Ma, Tong Zhang:
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo. COLT 2024: 2438-2493 - [c7]Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang:
Reverse Diffusion Monte Carlo. ICLR 2024 - [c6]Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang:
Faster Sampling via Stochastic Gradient Proximal Sampler. ICML 2024 - 2021
- [c5]Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li:
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. AAAI 2021: 7857-7864 - 2020
- [c4]Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li:
SPAN: A Stochastic Projected Approximate Newton Method. AAAI 2020: 1520-1527 - 2018
- [c3]Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang:
Confidence-Aware Matrix Factorization for Recommender Systems. AAAI 2018: 434-442 - [c2]Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen:
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. DASFAA (1) 2018: 3-19 - 2017
- [c1]Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu
, Qi Liu, Yijun Wang:
Incremental Matrix Factorization: A Linear Feature Transformation Perspective. IJCAI 2017: 1901-1908
Informal and Other Publications
- 2024
- [i10]Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang:
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo. CoRR abs/2401.06325 (2024) - [i9]Xunpeng Huang, Hanze Dong, Difan Zou, Tong Zhang:
An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling. CoRR abs/2403.06183 (2024) - [i8]Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yi-An Ma, Tong Zhang:
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference. CoRR abs/2405.16387 (2024) - [i7]Xunpeng Huang, Difan Zou, Yi-An Ma, Hanze Dong, Tong Zhang:
Faster Sampling via Stochastic Gradient Proximal Sampler. CoRR abs/2405.16734 (2024) - 2023
- [i6]Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang:
Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach. CoRR abs/2307.02037 (2023) - 2022
- [i5]Jingwei Zhang, Xunpeng Huang:
Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates. CoRR abs/2205.09860 (2022) - 2020
- [i4]Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Yue Yu, Lei Li:
SPAN: A Stochastic Projected Approximate Newton Method. CoRR abs/2002.03687 (2020) - [i3]Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li:
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs. CoRR abs/2006.07037 (2020) - [i2]Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li:
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. CoRR abs/2006.07065 (2020) - 2017
- [i1]Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen:
Generalized Neural Graph Embedding with Matrix Factorization. CoRR abs/1711.04094 (2017)
Coauthor Index
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