Zijie's Publication

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	Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang The Conference on Neural Information Processing Systems (NeurIPS), 2024. [Project Page]
	GraphVis: Boosting LLMs with Visual Knowledge Graph Integration Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang The Conference on Neural Information Processing Systems (NeurIPS), 2024. [Project Page]
	BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Ying Guo, Yang Yang, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2024 [Paper]
	Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun† , Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun Preprint, 2024 [Paper] [Code]
	MIRAI: Evaluating LLM Agents for Event Forecasting Chenchen Ye, Ziniu Hu, Yihe Deng, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang Preprint*, 2024 [Project Page] [Code] [Demo Video]
	FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2024
	TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang Preprint, 2023. Best Paper Award at DLDE workshop at Neurips 2023. [Paper] [Code]
	Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Quanquan Gu, Dominik Wodarz, Yizhou Sun, Wei Wang The Web Conference (WWW), 2024 \| The Symbiosis of Deep Learning and Differential Equations (DLDE) workshop at Neurips*, 2023.
	Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks Zijie Huang, Baolin Li, Hafez Asgharzadeh, Anne Cocos, Lingyi Liu, Evan Cox, Colby Wise, Sudarshan Lamkhede Preprint, 2023.
	CARE: Modeling Interacting Dynamics Under Temporal Distribution Shift Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Sadashiv Gangan, Song Jiang, Yizhou Sun The Conference on Neural Information Processing Systems (NeurIPS), 2023
	A Survey on Graph Neural Network Acceleration: Algorithms,Systems, and Customized Hardware Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan (Celine) Lin, Jason Cong, Yizhou Sun preprint, 2023
	Watching to Simulate Glass Dynamics from Their Static Structure by Machine Learning Han Liu, Zijie Huang, Samuel S. Schoenholz, Ekin D. Cubuk, Morten M. Smedskjaer, Yizhou Sun, Wei Wang and Mathieu Bauchy Materials Horizons, 2023 A mahchine learning framework for fast glass dynamics simulation.
	Generalizing Graph ODE for Learning Complex System Dynamics across Environments Zijie Huang, Yizhou Sun and Wei Wang The Conference on Knowledge Discovery and Data Mining (KDD), 2023 We proposed a generalized graphODE framework for predicting multi-agent system dynamics across different envrionments.
	CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems Song Jiang,Zijie Huang, Xiao Luo and Yizhou Sun The Conference on Knowledge Discovery and Data Mining (KDD), 2023 We proposed a novel graphODE framework for making counterfactual predictions of multi-agent dynamical systems.
	Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun and Wei Wang Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2023 We proposed a novel geometric representation learning framework for learning two-view knowledge graphs and constructed a recipe-related two-view KG dataset.
	HOPE: High-order Graph ODE For Modeling Interacting Dynamics Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun International Conference on Machine Learning (ICML), 2023 We proposed a higher-order graphODE framework to improve model effectiveness on various dynamical system downstream tasks.
	Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang Annual Meeting of the Association for Computational Linguistics (ACL), 2022 We proposed a multilingual knowledge graph completion model and constructed an e-commercial multilingual KG dataset. [Paper] [Code] [Slides]
	Coupled Graph ODE for Learning Interacting System Dynamics Zijie Huang, Yizhou Sun, Wei Wang The Conference on Knowledge Discovery and Data Mining (KDD), 2021 We proposed coupled graph ODE (CG-ODE) for modeling the co-evolution of graph nodes and edges in a continuous manner. [Paper] [Code] [Slides]
	DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun,Shuochao Yao, Tarek Abdelzaher The International ACM SIGIR Conference on Research and Developmentin Information Retrieval (SIGIR), 2021 We proposed a generative model that considers user dynamic interest and text contents to predict cascade diffusioin on social network. [Paper]
	Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations Zijie Huang, Yizhou Sun, Wei Wang The Conference on Neural Information Processing Systems (NeurIPS), 2020 We proposed latent graph ODE (LG-ODE) to learn system dynamics from irregularly-sampled and partial observations with underlying graph structure. [Paper] [Code] [Slides]
	Weakly Supervised Attention for Hashtag Recommendation using Graph Data Amin Javari, Zhankui He, Zijie Huang, Raj Jeetu, Kevin Chen-Chuan Chang The Web Conference (WWW) , 2020 We built a novel weak supervision model that jointly considers user interactions and hashtag text contents for hashtag recommendation. [Paper]