Xunpeng Huang

According to our database, Xunpeng Huang authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis.

Jia-Yu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, Chengxiang Zhai, Enhong Chen

CoRR, 2024

Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference.

Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yi-An Ma, Tong Zhang

CoRR, 2024

An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling.

Xunpeng Huang, Hanze Dong, Difan Zou, Tong Zhang

CoRR, 2024

Faster Sampling via Stochastic Gradient Proximal Sampler.

Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reverse Diffusion Monte Carlo.

Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo.

Xunpeng Huang, Difan Zou, Hanze Dong, Yi-An Ma, Tong Zhang

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach.

Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang

CoRR, 2023

2022

Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates.

Jingwei Zhang, Xunpeng Huang

CoRR, 2022

2021

ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization.

Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs.

Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li

CoRR, 2020

SPAN: A Stochastic Projected Approximate Newton Method.

Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Yue Yu, Lei Li

CoRR, 2020

SPAN: A Stochastic Projected Approximate Newton Method.

Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Finding potential lenders in P2P lending: A Hybrid Random Walk Approach.

Hefu Zhang, Hongke Zhao, Qi Liu, Tong Xu, Enhong Chen, Xunpeng Huang

Inf. Sci., 2018

Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective.

Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2018

Confidence-Aware Matrix Factorization for Recommender Systems.

Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Generalized Neural Graph Embedding with Matrix Factorization.

Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen

CoRR, 2017

Incremental Matrix Factorization: A Linear Feature Transformation Perspective.

Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017