Haoyang Zheng

According to our database, Haoyang Zheng authored at least 19 papers between 2017 and 2026.

Collaborative distances:

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

2026

Diff-Instruct with Diffused Reward: Towards Principled One-step Generator RL.

Junyi Wu, Weijian Luo, Haoyang Zheng, Ruizhe Zhang, Guang Lin

CoRR, May, 2026

Ultra Fast PDE Solving via Physics Guided Few-step Diffusion.

Cindy Xiangrui Kong, Yueqi Wang, Haoyang Zheng, Weijian Luo, Guang Lin

CoRR, February, 2026

Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend.

Hongxu Liu, Xinyu Chen, Haoyang Zheng, Manyi Li, Zhenfan Liu, Fumeng Yang, Yunhai Wang, Changhe Tu, Qiong Zeng

IEEE Trans. Vis. Comput. Graph., January, 2026

LES-SINDy: Laplace-enhanced sparse identification of nonlinear dynamical systems.

Haoyang Zheng, Guang Lin

J. Comput. Phys., 2026

Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange.

Haoyang Zheng, Hengrong Du, Ruqi Zhang, Guang Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking Langevin Thompson Sampling from A Stochastic Approximation Perspective.

Weixin Wang, Haoyang Zheng, Guang Lin, Wei Deng, Pan Xu

CoRR, October, 2025

Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct.

Haoyang Zheng, Xinyang Liu, Cindy Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin

CoRR, September, 2025

Skeleton-based sign language recognition using a dual-stream spatio-temporal dynamic graph convolutional network.

Liangjin Liu, Haoyang Zheng, Zhengzhong Zhu, Pei Zhou

CoRR, September, 2025

LAPD: Langevin-Assisted Bayesian Active Learning for Physical Discovery.

Cindy Xiangrui Kong, Haoyang Zheng, Guang Lin

CoRR, March, 2025

Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations.

Haoyang Zheng, Guang Lin

CoRR, February, 2025

Exploring Non-Convex Discrete Energy Landscapes: A Langevin-Like Sampler with Replica Exchange.

Haoyang Zheng, Ruqi Zhang, Guang Lin

CoRR, January, 2025

2024

HomPINNs: Homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions.

Haoyang Zheng, Yao Huang, Ziyang Huang, Wenrui Hao, Guang Lin

J. Comput. Phys., March, 2024

Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics.

Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin

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

Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo.

Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Data-driven causal model discovery and personalized prediction in Alzheimer's disease.

Haoyang Zheng, Jeffrey R. Petrella, P. Murali Doraiswamy, Guang Lin, Wenrui Hao

npj Digit. Medicine, 2022

2021

PCNN: A physics-constrained neural network for multiphase flows.

Haoyang Zheng, Ziyang Huang, Guang Lin

CoRR, 2021

2018

Failure mode and effects analysis based on D numbers and TOPSIS.

Tian Bian, Haoyang Zheng, Likang Yin, Yong Deng

Qual. Reliab. Eng. Int., 2018

Evaluation method based on fuzzy relations between Dempster-Shafer belief structure.

Haoyang Zheng, Yong Deng

Int. J. Intell. Syst., 2018

2017

Fuzzy evidential influence diagram and its evaluation algorithm.

Haoyang Zheng, Yong Deng, Yong Hu

Knowl. Based Syst., 2017