Haoxuan Chen

32 papers A* 6C 3Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning generalizable visual representations with causal diffusion model for controllable editing.
Pattern Recognit.
Shanshan Huang, Lei Wang, Haoxuan Chen, Yuxuan Liang, Li Liu
2025 J jnl
Approximation of High-Dimensional Gibbs Distributions with Functional Hierarchical Tensors.
CoRR
Nan Sheng, Xun Tang, Haoxuan Chen, Lexing Ying
2025 A* conf
Collaborative Orchestration with Probabilistic Routing for Dynamic Service Mesh in Clouds.
INFOCOM
Yi Hu, Haonan Ding, Haoxuan Chen, Jianwen He, Menglan Hu, Chao Cai, Kai Peng
2025 J jnl
Context-Enhanced Granular Edit Representation for Efficient and Accurate ASR Post-editing.
CoRR
Luan Vejsiu, Qianyu Zheng, Haoxuan Chen, Yizhou Han
2025 J jnl
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms.
CoRR
Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying
2025 A* conf
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework.
ICLR
Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying
2025 C conf
How Do Developers Use ChatGPT for Software Test Generation? Usage Patterns, Satisfaction, and Code Adoption Analysis.
APSEC
Sicheng He, Wanwei Zhan, Jijun Wang, Junjie Dai, Haoxuan Chen, Cheng Tan, Fuyang Li
2025 J jnl
Image-to-Video Transfer Learning based on Image-Language Foundation Models: A Comprehensive Survey.
CoRR
Jinxuan Li, Chaolei Tan, Haoxuan Chen, Jianxin Ma, Jian-Fang Hu, Wei-Shi Zheng, Jianhuang Lai
2025 J jnl
Large-Scale Service Mesh Orchestration With Probabilistic Routing in Cloud Data Centers.
IEEE Trans. Serv. Comput.
Kai Peng, Yi Hu, Haonan Ding, Haoxuan Chen, Liangyuan Wang, Chao Cai, Menglan Hu
2025 J jnl
Null-LoRA: Low-Rank Adaptation on Null Space.
CoRR
Yi Zhang, Yulei Kang, Haoxuan Chen, Jinxuan Li, Jian-Fang Hu
2025 A* conf
RealisticCodeBench: Towards More Realistic Evaluation of Large Language Models for Code Generation.
ASE
Xiao Yu, Haoxuan Chen, Lei Liu, Xing Hu, Jacky Wai Keung, Xin Xia
2025 J jnl
Sketch Tomography: Hybridizing Classical Shadow and Matrix Product State.
CoRR
Xun Tang, Haoxuan Chen, Yuehaw Khoo, Lexing Ying
2025 J jnl
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach.
CoRR
Haoxuan Chen, Yinuo Ren, Martin Renqiang Min, Lexing Ying, Zachary Izzo
2025 J jnl
The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study.
Autom. Softw. Eng.
Zexian Zhang, Lin Zhu, Shuang Yin, Wenhua Hu, Shan Gao, Haoxuan Chen, Fuyang Li
2025 J jnl
Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models.
CoRR
Xiao Yu, Haoxuan Chen, Feifei Niu, Xing Hu, Jacky Wai Keung, Xin Xia
2024 A* conf
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity.
NeurIPS
Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff
2024 J jnl
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity.
CoRR
Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff
2024 J jnl
An Assessment of the Map-Style Influence on Generalization with CycleGAN: Taking Line Features as an Example.
ISPRS Int. J. Geo Inf.
Heng Yu, Haoxuan Chen, Ling Zhang
2024 J jnl
Ensemble-Based Annealed Importance Sampling.
CoRR
Haoxuan Chen, Lexing Ying
2024 J jnl
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework.
CoRR
Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying
2024 C conf
On the Relative Value of Feature Selection Techniques for Code Smell Detection.
APSEC
Zexian Zhang, Lin Zhu, Shuang Yin, Shan Gao, Haoxuan Chen, Wenhua Hu, Fuyang Li
2023 — conf
Beyond the Box Office Performance: A Multi-Factor-Based Prediction Model for Sequel Movie.
BDE
Jialin Ge, Haoxuan Chen, Kaijie Qiu, Jincan Sun
2023 A* conf
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality.
NeurIPS
Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying
2023 J jnl
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality.
CoRR
Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying
2022 A* conf
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality.
ICLR
Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet
2022 J jnl
Preference-oriented partitioning for multiprocessor real-time systems.
J. Syst. Archit.
Qin Xia, Songming Yan, Haoxuan Chen, Dakai Zhu, Hakan Aydin
2021 J jnl
Applicability Evaluation of Several Spatial Clustering Methods in Spatiotemporal Data Mining of Floating Car Trajectory.
ISPRS Int. J. Geo Inf.
Haoxuan Chen, Fei Tao, Peilong Ma, Li-Na Gao, Tong Zhou
2021 J jnl
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality.
CoRR
Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet
2021 J jnl
Physics-Informed Neural Operator for Learning Partial Differential Equations.
CoRR
Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar
2020 J jnl
Automatic Identification of the Social Functions of Areas of Interest (AOIs) Using the Standard Hour-Day-Spectrum Approach.
ISPRS Int. J. Geo Inf.
Tong Zhou, Xintao Liu, Zhen Qian, Haoxuan Chen, Fei Tao
2019 C conf
Modulation and Demodulation of Digital Frequency Shift Keying System Based on Spin Torque Nano Oscillator with Voltage Controlled Magnetic Anisotropy Effect.
ISCAS
Lang Zeng, Zuodong Zhang, Haoxuan Chen, Tianqi Gao, Deming Zhang, Mingzhi Long, Youguang Zhang, Weisheng Zhao
2017 — conf
Ultrafast spintronic integrated circuits.
ASICON
Jiaqi Wei, Liang Chang, Zhaohao Wang, Xiaoyang Lin, Kaihua Cao, Hushan Cui, Wang Kang, Haoxuan Chen, Lang Zeng, Youguang Zhang, Chao Zhao, Weisheng Zhao