| 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 | 88 | 2020 |
| 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 | 83 | 2021 |
| 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 | 45 | 2022 |
| 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 | 44 | 2021 |
| 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 | 33 | 2023 |
| 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 | 29 | 2020 |
| 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 | 27 | 2023 |
| 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 | 21 | 2023 |
| 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 | 16 | 2023 |
| 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 | 12 | 2023 |
| 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 | 11 | 2024 |
| 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 (NeurIPS) 36, 2024 | 11 | 2024 |
| 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 | 9 | 2023 |
| 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 | 6 | 2024 |
| 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 | 5 | 2024 |
| 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 @ NeurIPS, 2023 | 4 | 2023 |
| Physics-informed regularization for domain-agnostic dynamical system modeling Z Huang, W Zhao, J Gao, Z Hu, X Luo, Y Cao, Y Chen, Y Sun, W Wang Advances in neural information processing systems (NeurIPS), 2024 | 2 | 2024 |
| GraphVis: Boosting LLMs with Visual Knowledge Graph Integration Y Deng, C Ye, Z Huang, MD Ma, Y Kou, W Wang Advances in neural information processing systems (NeurIPS), 2024 | 1 | 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, ... IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2024 | 1 | 2024 |
| A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis D Guo, Z Huang, J Hao, Y Sun, W Wang, D Terzopoulos arXiv preprint arXiv:2212.02575, 2022 | 1 | 2022 |
Yizhou SunProfessor, Computer Science, UCLAVerified email at cs.ucla.edu