Huang, Zijie
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
2024/08/22 by Haixin Wang, Yadi Cao, Wang, Haixin +29 · 11 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
- MIRAI: Evaluating LLM Agents for Event Forecasting
2024/07/01 by Ye, Chenchen, Hu, Ziniu, Deng, Yihe +4 · 8 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
2020/11/08 by Huang, Zijie, Sun, Yizhou, Wang, Wei · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time
2025/06/06 by Zhang, Weizhi, Zhang, Xinyang, Zhang, Chenwei +12 · 10 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
2024/02/29 by Huang, Zijie, Hwang, Jeehyun, Zhang, Junkai +6 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
2025/03/29 by Zewen Liu, Xiaoda Wang, Liu, Zewen +8 · 5 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
2022/03/28 by Huang, Zijie, Li, Zheng, Jiang, Haoming +6 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
2024/10/08 by Zijie Huang, Wanjia Zhao, Huang, Zijie +15 · 2 citations
Engineering · #Reservoir Engineering and Simulation Methods #Oil and Gas Production Techniques
- BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
2024/04/30 by K. L. Han, Yi Yang, Han, Kaiqiao +19 · 2 citations
Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
2023/06/24 by Shichang Zhang, Zhang, Shichang, Atefeh Sohrabizadeh +15 · 1 citation
Computer Science · Materials Science · #Advanced Graph Neural Networks #Distributed #FOS: Computer and information sciences #Graph Theory and Algorithms #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Parallel #and Cluster Computing (cs.DC)
- Predicting Time Series of Networked Dynamical Systems without Knowing Topology
2024/12/25 by Yanna Ding, Zijie Huang, Ding, Yanna +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Time Series Analysis and Forecasting
- Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
2024/12/20 by Ding, Yanna, Huang, Zijie, Shou, Xiao +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics
2024/11/03 by Fang Sun, Zijie Huang, Sun, Fang +10 · 1 citation
Materials Science · #Chemical Physics (physics.chem-ph) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)