Xunpeng Huang

27 papers A* 9Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Latent Shadows: The Gaussian-Discrete Duality in Masked Diffusion.
CoRR
Guinan Chen, Xunpeng Huang, Ying Sun, Shijin Wang, Yanyong Zhang, Chao Wang
2025 J jnl
Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion.
CoRR
Xunpeng Huang, Yingyu Lin, Nikki Lijing Kuang, Hanze Dong, Difan Zou, Yian Ma, Tong Zhang
2025 J jnl
Capturing Conditional Dependence via Auto-regressive Diffusion Models.
CoRR
Xunpeng Huang, Yujin Han, Difan Zou, Yian Ma, Tong Zhang
2025 J jnl
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees.
CoRR
Nishant Jain, Xunpeng Huang, Yian Ma, Tong Zhang
2025 J jnl
On the Complexity Theory of Masked Discrete Diffusion: From poly(1/ε) to Nearly ε-Free.
CoRR
Xunpeng Huang, Yingyu Lin, Nishant Jain, Kaibo Wang, Difan Zou, Yian Ma, Tong Zhang
2025 A* conf
What Makes In-context Learning Effective for Mathematical Reasoning.
ICML
Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, ChengXiang Zhai, Enhong Chen
2024 J jnl
An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling.
CoRR
Xunpeng Huang, Hanze Dong, Difan Zou, Tong Zhang
2024 A* conf
Faster Sampling via Stochastic Gradient Proximal Sampler.
ICML
Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
2024 J jnl
Faster Sampling via Stochastic Gradient Proximal Sampler.
CoRR
Xunpeng Huang, Difan Zou, Yi-An Ma, Hanze Dong, Tong Zhang
2024 A* conf
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo.
COLT
Xunpeng Huang, Difan Zou, Hanze Dong, Yi-An Ma, Tong Zhang
2024 J jnl
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo.
CoRR
Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
2024 A* conf
Reverse Diffusion Monte Carlo.
ICLR
Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
2024 A* conf
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference.
NeurIPS
Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang
2024 J jnl
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference.
CoRR
Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yi-An Ma, Tong Zhang
2024 J jnl
What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis.
CoRR
Jia-Yu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, ChengXiang Zhai, Enhong Chen
2023 J jnl
Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach.
CoRR
Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
2022 J jnl
Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates.
CoRR
Jingwei Zhang, Xunpeng Huang
2021 A* conf
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization.
AAAI
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li
2020 J jnl
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization.
CoRR
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li
2020 J jnl
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs.
CoRR
Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li
2020 A* conf
SPAN: A Stochastic Projected Approximate Newton Method.
AAAI
Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li
2020 J jnl
SPAN: A Stochastic Projected Approximate Newton Method.
CoRR
Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Yue Yu, Lei Li
2018 A* conf
Confidence-Aware Matrix Factorization for Recommender Systems.
AAAI
Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang
2018 — conf
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective.
DASFAA (1)
Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen
2018 J jnl
Finding potential lenders in P2P lending: A Hybrid Random Walk Approach.
Inf. Sci.
Hefu Zhang, Hongke Zhao, Qi Liu, Tong Xu, Enhong Chen, Xunpeng Huang
2017 J jnl
Generalized Neural Graph Embedding with Matrix Factorization.
CoRR
Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen
2017 A* conf
Incremental Matrix Factorization: A Linear Feature Transformation Perspective.
IJCAI
Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang