Haoyang Zheng

23 papers A* 2A 1Journal 20
YearRankTypeTitle / Venue / Authors
2026 A* conf
Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange.
AAAI
Haoyang Zheng, Hengrong Du, Ruqi Zhang, Guang Lin
2026 J jnl
LES-SINDy: Laplace-enhanced sparse identification of nonlinear dynamical systems.
J. Comput. Phys.
Haoyang Zheng, Guang Lin
2026 J jnl
Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend.
IEEE Trans. Vis. Comput. Graph.
Hongxu Liu, Xinyu Chen, Haoyang Zheng, Manyi Li, Zhenfan Liu, Fumeng Yang, Yunhai Wang, Changhe Tu, Qiong Zeng
2026 J jnl
Ultra Fast PDE Solving via Physics Guided Few-step Diffusion.
CoRR
Cindy Xiangrui Kong, Yueqi Wang, Haoyang Zheng, Weijian Luo, Guang Lin
2025 J jnl
Exploring Non-Convex Discrete Energy Landscapes: A Langevin-Like Sampler with Replica Exchange.
CoRR
Haoyang Zheng, Ruqi Zhang, Guang Lin
2025 J jnl
LAPD: Langevin-Assisted Bayesian Active Learning for Physical Discovery.
CoRR
Cindy Xiangrui Kong, Haoyang Zheng, Guang Lin
2025 J jnl
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations.
CoRR
Haoyang Zheng, Guang Lin
2025 J jnl
Rethinking Langevin Thompson Sampling from A Stochastic Approximation Perspective.
CoRR
Weixin Wang, Haoyang Zheng, Guang Lin, Wei Deng, Pan Xu
2025 J jnl
Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend.
CoRR
Hongxu Liu, Xinyu Chen, Haoyang Zheng, Manyi Li, Zhenfan Liu, Fumeng Yang, Yunhai Wang, Changhe Tu, Qiong Zeng
2025 J jnl
Skeleton-based sign language recognition using a dual-stream spatio-temporal dynamic graph convolutional network.
CoRR
Liangjin Liu, Haoyang Zheng, Zhengzhong Zhu, Pei Zhou
2025 J jnl
Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct.
CoRR
Haoyang Zheng, Xinyang Liu, Cindy Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin
2024 A conf
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo.
AISTATS
Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin
2024 J jnl
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo.
CoRR
Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin
2024 A* conf
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics.
ICML
Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin
2024 J jnl
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics.
CoRR
Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin
2024 J jnl
HomPINNs: Homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions.
J. Comput. Phys.
Haoyang Zheng, Yao Huang, Ziyang Huang, Wenrui Hao, Guang Lin
2024 J jnl
LES-SINDy: Laplace-Enhanced Sparse Identification of Nonlinear Dynamical Systems.
CoRR
Haoyang Zheng, Guang Lin
2023 J jnl
HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions.
CoRR
Haoyang Zheng, Yao Huang, Ziyang Huang, Wenrui Hao, Guang Lin
2022 J jnl
Data-driven causal model discovery and personalized prediction in Alzheimer's disease.
npj Digit. Medicine
Haoyang Zheng, Jeffrey R. Petrella, P. Murali Doraiswamy, Guang Lin, Wenrui Hao
2021 J jnl
PCNN: A physics-constrained neural network for multiphase flows.
CoRR
Haoyang Zheng, Ziyang Huang, Guang Lin
2018 J jnl
Evaluation method based on fuzzy relations between Dempster-Shafer belief structure.
Int. J. Intell. Syst.
Haoyang Zheng, Yong Deng
2018 J jnl
Failure mode and effects analysis based on D numbers and TOPSIS.
Qual. Reliab. Eng. Int.
Tian Bian, Haoyang Zheng, Likang Yin, Yong Deng
2017 J jnl
Fuzzy evidential influence diagram and its evaluation algorithm.
Knowl. Based Syst.
Haoyang Zheng, Yong Deng, Yong Hu