Haoxuan Chen

According to our database, Haoxuan Chen authored at least 22 papers between 2017 and 2025.

Collaborative distances:

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

2025

The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study.

Zexian Zhang, Lin Zhu, Shuang Yin, Wenhua Hu, Shan Gao, Haoxuan Chen, Fuyang Li

Autom. Softw. Eng., November, 2025

Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models.

Xiao Yu, Haoxuan Chen, Feifei Niu, Xing Hu, Jacky Wai Keung, Xin Xia

CoRR, June, 2025

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach.

Haoxuan Chen, Yinuo Ren, Martin Renqiang Min, Lexing Ying, Zachary Izzo

CoRR, June, 2025

Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms.

Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying

CoRR, February, 2025

Approximation of High-Dimensional Gibbs Distributions with Functional Hierarchical Tensors.

Nan Sheng, Xun Tang, Haoxuan Chen, Lexing Ying

CoRR, January, 2025

Large-Scale Service Mesh Orchestration With Probabilistic Routing in Cloud Data Centers.

Kai Peng, Yi Hu, Haonan Ding, Haoxuan Chen, Liangyuan Wang, Chao Cai, Menglan Hu

IEEE Trans. Serv. Comput., 2025

Collaborative Orchestration with Probabilistic Routing for Dynamic Service Mesh in Clouds.

Yi Hu, Haonan Ding, Haoxuan Chen, Jianwen He, Menglan Hu, Chao Cai, Kai Peng

Proceedings of the IEEE INFOCOM 2025, 2025

How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework.

Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

An Assessment of the Map-Style Influence on Generalization with CycleGAN: Taking Line Features as an Example.

Heng Yu, Haoxuan Chen, Ling Zhang

ISPRS Int. J. Geo Inf., 2024

Ensemble-Based Annealed Importance Sampling.

Haoxuan Chen, Lexing Ying

CoRR, 2024

Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity.

Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On the Relative Value of Feature Selection Techniques for Code Smell Detection.

Zexian Zhang, Lin Zhu, Shuang Yin, Shan Gao, Haoxuan Chen, Wenhua Hu, Fuyang Li

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023

When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality.

Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying

CoRR, 2023

When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality.

Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Beyond the Box Office Performance: A Multi-Factor-Based Prediction Model for Sequel Movie.

Jialin Ge, Haoxuan Chen, Kaijie Qiu, Jincan Sun

Proceedings of the 2023 5th International Conference on Big Data Engineering, 2023

2022

Preference-oriented partitioning for multiprocessor real-time systems.

Qin Xia, Songming Yan, Haoxuan Chen, Dakai Zhu, Hakan Aydin

J. Syst. Archit., 2022

Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality.

Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Applicability Evaluation of Several Spatial Clustering Methods in Spatiotemporal Data Mining of Floating Car Trajectory.

Haoxuan Chen, Fei Tao, Pei-long Ma, Li-Na Gao, Tong Zhou

ISPRS Int. J. Geo Inf., 2021

Physics-Informed Neural Operator for Learning Partial Differential Equations.

Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar

CoRR, 2021

2020

Automatic Identification of the Social Functions of Areas of Interest (AOIs) Using the Standard Hour-Day-Spectrum Approach.

Tong Zhou, Xintao Liu, Zhen Qian, Haoxuan Chen, Fei Tao

ISPRS Int. J. Geo Inf., 2020

2019

Modulation and Demodulation of Digital Frequency Shift Keying System Based on Spin Torque Nano Oscillator with Voltage Controlled Magnetic Anisotropy Effect.

Lang Zeng, Zuodong Zhang, Haoxuan Chen, Tianqi Gao, Deming Zhang, Mingzhi Long, Youguang Zhang, Weisheng Zhao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2017

Ultrafast spintronic integrated circuits.

Jiaqi Wei, Liang Chang, Zhaohao Wang, Xiaoyang Lin, Kaihua Cao, Hushan Cui, Wang Kang, Haoxuan Chen, Lang Zeng, Youguang Zhang, Chao Zhao, Weisheng Zhao

Proceedings of the 12th IEEE International Conference on ASIC, 2017