Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations. - Zijie Huang 002; Yizhou Sun; Wei Wang 010 (NeurIPS, 2020)

Weakly Supervised Attention for Hashtag Recommendation using Graph Data. - Amin Javari; Zhankui He; Zijie Huang 002; Jeetu Raj; Kevin Chen-Chuan Chang (WWW, 2020)

Coupled Graph ODE for Learning Interacting System Dynamics. - Zijie Huang 002; Yizhou Sun; Wei Wang 010 (KDD, 2021)

DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. - Ruijie Wang 004; Zijie Huang 002; Shengzhong Liu; Huajie Shao; Dongxin Liu; Jinyang Li 004; Tianshi Wang; Dachun Sun; Shuochao Yao; Tarek F. Abdelzaher (SIGIR, 2021)

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. - Zijie Huang 002; Zheng Li 018; Haoming Jiang; Tianyu Cao 001; Hanqing Lu; Bing Yin; Karthik Subbian; Yizhou Sun; Wei Wang 010 (ACL (1), 2022)

A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis. - Danfeng Guo; Zijie Huang 002; Junheng Hao; Yizhou Sun; Wei Wang 010; Demetri Terzopoulos (CoRR, 2022)

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. - Zijie Huang 002; Daheng Wang; Binxuan Huang; Chenwei Zhang; Jingbo Shang; Yan Liang 004; Zhengyang Wang; Xian Li; Christos Faloutsos; Yizhou Sun; Wei Wang 010 (ACL (Findings), 2023)

HOPE: High-order Graph ODE For Modeling Interacting Dynamics. - Xiao Luo 001; Jingyang Yuan; Zijie Huang 002; Huiyu Jiang; Yifang Qin; Wei Ju 001; Ming Zhang 004; Yizhou Sun (ICML, 2023)

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. - Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Yizhou Sun (KDD, 2023)

Generalizing Graph ODE for Learning Complex System Dynamics across Environments. - Zijie Huang 002; Yizhou Sun; Wei Wang 010 (KDD, 2023)

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. - Xiao Luo 001; Haixin Wang 003; Zijie Huang 002; Huiyu Jiang; Abhijeet Gangan; Song Jiang 002; Yizhou Sun (NeurIPS, 2023)

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. - Shichang Zhang; Atefeh Sohrabizadeh; Cheng Wan 005; Zijie Huang 002; Ziniu Hu; Yewen Wang; Yingyan Lin; Jason Cong; Yizhou Sun (CoRR, 2023)

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (CoRR, 2023)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Yuanzhou Chen; Yizhou Sun (ACL (Findings), 2024)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. - Kaiqiao Han; Yi Yang 001; Zijie Huang 002; Xuan Kan; Ying Guo 003; Yang Yang 009; Lifang He 001; Liang Zhan; Yizhou Sun; Wei Wang 010; Carl Yang 001 (BHI, 2024)

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (NeurIPS, 2024)

GraphVis: Boosting LLMs with Visual Knowledge Graph Integration. - Yihe Deng; Chenchen Ye 001; Zijie Huang 002; Mingyu Derek Ma; Yiwen Kou; Wei Wang 010 (NeurIPS, 2024)

Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. - Zijie Huang 002; Jeehyun Hwang; Junkai Zhang; Jinwoo Baik; Weitong Zhang; Dominik Wodarz; Yizhou Sun; Quanquan Gu; Wei Wang 010 (WWW, 2024)

MIRAI: Evaluating LLM Agents for Event Forecasting. - Chenchen Ye 001; Ziniu Hu; Yihe Deng; Zijie Huang 002; Mingyu Derek Ma; Yanqiao Zhu 001; Wei Wang 010 (CoRR, 2024)

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. - Haixin Wang 003; Yadi Cao; Zijie Huang 002; Yuxuan Liu; Peiyan Hu; Xiao Luo 001; Zezheng Song; Wanjia Zhao; Jilin Liu; Jinan Sun; Shikun Zhang; Long Wei; et al. (CoRR, 2024)

Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics. - Fang Sun; Zijie Huang 002; Haixin Wang 003; Yadi Cao; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2024)

Predicting Time Series of Networked Dynamical Systems without Knowing Topology. - Yanna Ding; Zijie Huang 002; Malik Magdon-Ismail; Jianxi Gao (CoRR, 2024)

Neural Dynamics for Science: The Symbiosis of Deep Graph Learning and Differential Equations - Zijie Huang 002 (2024)

Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation. - Yanna Ding; Zijie Huang 002; Xiao Shou; Yihang Guo; Yizhou Sun; Jianxi Gao (AAAI, 2025)

Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection. - Mingyu Derek Ma; Yanna Ding; Zijie Huang 002; Jianxi Gao; Yizhou Sun; Wei Wang 010 (ACL (1), 2025)

Accelerating Neural ODEs: A Variational Formulation-based Approach. - Hongjue Zhao; Yuchen Wang; Hairong Qi 001; Zijie Huang 002; Han Zhao 002; Lui Sha; Huajie Shao (ICLR, 2025)

Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics. - Fang Sun; Zijie Huang 002; Haixin Wang 003; Huacong Tang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (Trans. Mach. Learn. Res., 2025)

A Social Dynamical System for Twitter Analysis. - Zhiping Xiao 001; Xinyu Wang; Yifang Qin; Zijie Huang 002; Mason A. Porter; Yizhou Sun (CoRR, 2025)

Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. - Zewen Liu 005; Xiaoda Wang; Bohan Wang; Zijie Huang 002; Carl Yang 001; Wei Jin 009 (CoRR, 2025)

From Coarse to Fine: A Physics-Informed Self-Guided Flow Diffusion Model. - Ruoyan Li; Zijie Huang 002; Yizhou Sun; Wei Wang 010 (CoRR, 2025)

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation. - Haixin Wang 003; Ruoyan Li; Fred Xu; Fang Sun; Kaiqiao Han; Zijie Huang 002; Guancheng Wan; Ching Chang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2025)

PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time. - Weizhi Zhang 001; Xinyang Zhang 002; Chenwei Zhang; Liangwei Yang; Jingbo Shang; Zhepei Wei; Henry Peng Zou; Zijie Huang 002; Zhengyang Wang; Yifan Gao 001; Xiaoman Pan; Lian Xiong; et al. (CoRR, 2025)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Adrian Chen; Yizhou Sun (CoRR, 2025)