Zijie Huang

Orcid: 0009-0008-1263-9270

Affiliations:
  • University of California, Los Angeles, Department of Computer Science, CA, USA


According to our database1, Zijie Huang authored at least 33 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
CoRR, June, 2025

PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time.
CoRR, June, 2025

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.
CoRR, May, 2025

From Coarse to Fine: A Physics-Informed Self-Guided Flow Diffusion Model.
CoRR, April, 2025

Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks.
CoRR, March, 2025

A Social Dynamical System for Twitter Analysis.
CoRR, March, 2025

Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics.
Trans. Mach. Learn. Res., 2025

Accelerating Neural ODEs: A Variational Formulation-based Approach.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Neural Dynamics for Science: The Symbiosis of Deep Graph Learning and Differential Equations
PhD thesis, 2024

Predicting Time Series of Networked Dynamical Systems without Knowing Topology.
CoRR, 2024

Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics.
CoRR, 2024

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.
CoRR, 2024

MIRAI: Evaluating LLM Agents for Event Forecasting.
CoRR, 2024

Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems.
Proceedings of the ACM on Web Conference 2024, 2024

GraphVis: Boosting LLMs with Visual Knowledge Graph Integration.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems.
CoRR, 2023

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR, 2023

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalizing Graph ODE for Learning Complex System Dynamics across Environments.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HOPE: High-order Graph ODE For Modeling Interacting Dynamics.
Proceedings of the International Conference on Machine Learning, 2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis.
CoRR, 2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Coupled Graph ODE for Learning Interacting System Dynamics.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Weakly Supervised Attention for Hashtag Recommendation using Graph Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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