| 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 | 65 | 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 | 60 | 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 | 40 | 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 | 32 | 2021 |
| 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 | 27 | 2020 |
| 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 | 18 | 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 | 14 | 2023 |
| 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 | 14 | 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 | 8 | 2023 |
| 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 | 7 | 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 | 6 | 2023 |
| 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 | 5 | 2024 |
| 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 | 3 | 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, 2023 | 2 | 2023 |
| 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 |
| 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 | | 2022 |
| Learning Polarity Embedding Z Xiao, Z Ren, Z Huang | | |
| Uncertain Knowledge Graph Embedding Using Probabilistic Logic Neural Networks Z Huang, RG Iyer, Z Xiao | | |
Yizhou SunProfessor, Computer Science, UCLA在 cs.ucla.edu 的电子邮件经过验证
