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Zijie Huang
Zijie Huang
Computer Science, UCLA
Verified email at cs.ucla.edu - Homepage
Title
Cited by
Cited by
Year
Learning continuous system dynamics from irregularly-sampled partial observations
Z Huang, Y Sun, W Wang
Advances in Neural Information Processing Systems 33, 16177-16187, 2020
732020
Coupled graph ode for learning interacting system dynamics
Z Huang, Y Sun, W Wang
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
652021
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
Z Huang, Z Li, H Jiang, T Cao, H Lu, B Yin, K Subbian, Y Sun, W Wang
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
412022
Dydiff-vae: A dynamic variational framework for information diffusion prediction
R Wang, Z Huang, S Liu, H Shao, D Liu, J Li, T Wang, D Sun, S Yao, ...
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
362021
Weakly supervised attention for hashtag recommendation using graph data
A Javari, Z He, Z Huang, R Jeetu, K Chen-Chuan Chang
Proceedings of The Web Conference 2020, 1038-1048, 2020
292020
Hope: High-order graph ode for modeling interacting dynamics
X Luo, J Yuan, Z Huang, H Jiang, Y Qin, W Ju, M Zhang, Y Sun
International Conference on Machine Learning, 23124-23139, 2023
222023
A survey on graph neural network acceleration: Algorithms, systems, and customized hardware
S Zhang, A Sohrabizadeh, C Wan, Z Huang, Z Hu, Y Wang, J Cong, ...
arXiv preprint arXiv:2306.14052, 2023
202023
Generalizing graph ode for learning complex system dynamics across environments
Z Huang, Y Sun, W Wang
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
172023
Care: Modeling interacting dynamics under temporal environmental variation
X Luo, H Wang, Z Huang, H Jiang, A Gangan, S Jiang, Y Sun
Advances in Neural Information Processing Systems 36, 2024
92024
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
S Jiang, Z Huang, X Luo, Y Sun
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
92023
Concept2Box: Joint geometric embeddings for learning two-view knowledge graphs
Z Huang, D Wang, B Huang, C Zhang, J Shang, Y Liang, Z Wang, X Li, ...
Findings of the Association for Computational Linguistics: ACL 2023, 2023
82023
Learning molecular dynamics: predicting the dynamics of glasses by a machine learning simulator
H Liu, Z Huang, SS Schoenholz, ED Cubuk, MM Smedskjaer, Y Sun, ...
Materials Horizons 10 (9), 3416-3428, 2023
82023
MIRAI: Evaluating LLM Agents for Event Forecasting
C Ye, Z Hu, Y Deng, Z Huang, MD Ma, Y Zhu, W Wang
arXiv preprint arXiv:2407.01231, 2024
32024
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
Z Huang, J Hwang, J Zhang, J Baik, W Zhang, D Wodarz, Y Sun, Q Gu, ...
Proceedings of the ACM on Web Conference 2024, 4607-4617, 2024
32024
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems
Z Huang, W Zhao, J Gao, Z Hu, X Luo, Y Cao, Y Chen, Y Sun, W Wang
The Symbiosis of Deep Learning and Differential Equations III, 2023
32023
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
H Wang, Y Cao, Z Huang, Y Liu, P Hu, X Luo, Z Song, W Zhao, J Liu, ...
arXiv preprint arXiv:2408.12171, 2024
2024
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion
F Xu, S Jiang, Z Huang, X Luo, S Zhang, Y Chen, Y Sun
Findings of the Association for Computational Linguistics ACL 2024, 2707-2720, 2024
2024
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
K Han, Y Yang, Z Huang, X Kan, Y Yang, Y Guo, L He, L Zhan, Y Sun, ...
arXiv preprint arXiv:2405.00077, 2024
2024
Neural Dynamics for Science: The Symbiosis of Deep Graph Learning and Differential Equations
Z Huang
UCLA, 2024
2024
Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks
Z Huang, B Li, H Asgharzadeh, A Cocos, L Liu, E Cox, C Wise, ...
arXiv preprint arXiv:2312.04071, 2023
2023
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