Sun, Yizhou

78 publications

ICLRW 2025 Analysis of Neural ODE Performance in Long-Term PDE Sequence Modeling Fang Sun, Maxwell Dalton, Yizhou Sun

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

ICML 2025 Contradiction Retrieval via Contrastive Learning with Sparsity Haike Xu, Zongyu Lin, Kai-Wei Chang, Yizhou Sun, Piotr Indyk

ICLR 2025 Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark Haining Yu, Yizhou Sun

ICLRW 2025 DoMiNO: Down-Scaling Molecular Dynamics with Neural Graph Ordinary Differential Equations Fang Sun, Zijie Huang, Yadi Cao, Xiao Luo, Wei Wang, Yizhou Sun

NeurIPS 2025 Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models Zitong Shi, Guancheng Wan, Haixin Wang, Ruoyan Li, Zijie Huang, Wanjia Zhao, Yijia Xiao, Xiao Luo, Carl Yang, Yizhou Sun, Wei Wang

AAAI 2025 Dynamic-Width Speculative Beam Decoding for LLM Inference Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

NeurIPS 2025 Flow Field Reconstruction with Sensor Placement Policy Learning Ruoyan Li, Guancheng Wan, Zijie Huang, Zixiao Liu, Haixin Wang, Xiao Luo, Wei Wang, Yizhou Sun

TMLR 2025 Graph Fourier Neural ODEs: Modeling Spatial-Temporal Multi-Scales in Molecular Dynamics Fang Sun, Zijie Huang, Haixin Wang, Huacong Tang, Xiao Luo, Wei Wang, Yizhou Sun

AAAI 2025 Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun

ICLR 2025 Mixture of In-Context Prompters for Tabular PFNs Derek Qiang Xu, F Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang

ICLR 2025 Optimized Multi-Token Joint Decoding with Auxiliary Model for LLM Inference Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

ICML 2025 QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang

ICLRW 2025 QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang

ICML 2025 Rethink GraphODE Generalization Within Coupled Dynamical System Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang

ICCV 2025 STIV: Scalable Text and Image Conditioned Video Generation Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Lezhi Li, Yinfei Yang, Yizhou Sun, Kai-Wei Chang

ICLRW 2025 SpectralFlowNet: Resolution-Invariant Continuous Neural Dynamics for Mesh-Based PDE Modeling Tianrun Yu, Fang Sun, Haixin Wang, Xiao Luo, Yizhou Sun

ICLRW 2025 Stiv: Scalable Text and Image Conditioned Video Generation Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Yifan Jiang, Lezhi Li, Yizhou Sun, Kai-Wei Chang, Yinfei Yang

NeurIPS 2025 Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning Yanqiao Zhu, Yidan Shi, Yuanzhou Chen, Fang Sun, Yizhou Sun, Wei Wang

ICLR 2025 VideoPhy: Evaluating Physical Commonsense for Video Generation Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover

IJCAI 2024 A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract) Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun

NeurIPS 2024 Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Arvind Murari Vepa, Zukang Yang, Andrew Choi, Jungseock Joo, Fabien Scalzo, Yizhou Sun

ICLR 2024 Learning over Molecular Conformer Ensembles: Datasets and Benchmarks Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang

ICML 2024 Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Arjun Subramonian, Levent Sagun, Yizhou Sun

NeurIPS 2024 Non-Euclidean Mixture Model for Social Network Embedding Roshni G. Iyer, Yewen Wang, Wei Wang, Yizhou Sun

ICML 2024 PGODE: Towards High-Quality System Dynamics Modeling Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun

NeurIPS 2024 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

ICML 2024 Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun

ICML 2024 SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R Loomba, Shichang Zhang, Yizhou Sun, Wei Wang

NeurIPS 2024 Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks Arjun Subramonian, Jian Kang, Yizhou Sun

NeurIPSW 2024 VideoPhy: Evaluating Physical Commonsense for Video Generation Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover

NeurIPS 2023 AVIS: Autonomous Visual Information Seeking with Large Language Model Agent Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi

NeurIPS 2023 Amazon-M2: A Multilingual Multi-Locale Shopping Session Dataset for Recommendation and Text Generation Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

NeurIPS 2023 CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun

NeurIPSW 2023 Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-Agent Dynamical Systems Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang

ICML 2023 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

NeurIPSW 2023 Learning over Molecular Conformer Ensembles: Datasets and Benchmarks Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor Coley, Yizhou Sun, Wei Wang

NeurIPSW 2023 Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Arjun Subramonian, Levent Sagun, Yizhou Sun

ICLR 2023 Neural Compositional Rule Learning for Knowledge Graph Reasoning Kewei Cheng, Nesreen Ahmed, Yizhou Sun

NeurIPSW 2023 Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun

AAAI 2023 Prototypical Fine-Tuning: Towards Robust Performance Under Varying Data Sizes Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie

CVPR 2023 REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi

TMLR 2023 RIGNN: A Rationale Perspective for Semi-Supervised Open-World Graph Classification Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

NeurIPSW 2023 SCIBENCH: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun Loomba, Shichang Zhang, Yizhou Sun, Wei Wang

NeurIPSW 2023 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

NeurIPS 2023 Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong

AAAI 2022 Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang

NeurIPSW 2022 Dissimilar Nodes Improve Graph Active Learning Zhicheng Ren, Yifu Yuan, Yuxin Wu, Xiaxuan Gao, Yewen Wang, Yizhou Sun

NeurIPSW 2022 Empowering Language Models with Knowledge Graph Reasoning for Question Answering Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun

AAAI 2022 Fuzzy Logic Based Logical Query Answering on Knowledge Graphs Xuelu Chen, Ziniu Hu, Yizhou Sun

AAAI 2022 GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract) Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun

NeurIPS 2022 GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun

ICLR 2022 Graph-Less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah

NeurIPSW 2022 Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD Arjun Subramonian, Levent Sagun, Kai-Wei Chang, Yizhou Sun

NeurIPS 2022 Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed Chi

ECML-PKDD 2022 Multi-Source Inductive Knowledge Graph Transfer Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang

NeurIPS 2022 On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs Arjun Subramonian, Kai-Wei Chang, Yizhou Sun

AAAI 2022 Towards Fine-Grained Reasoning for Fake News Detection Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie

NeurIPSW 2022 Unit Selection: Learning Benefit Function from Finite Population Data Ang Li, Song Jiang, Yizhou Sun, Judea Pearl

AAAI 2022 Unsupervised Adversarially Robust Representation Learning on Graphs Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun

AAAI 2021 Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang

ICML 2021 GLSearch: Maximum Common Subgraph Detection via Learning to Search Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang

ICML 2020 Differentiable Product Quantization for End-to-End Embedding Compression Ting Chen, Lala Li, Yizhou Sun

IJCAI 2020 Heterogeneous Network Representation Learning Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang

NeurIPS 2020 Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations Zijie Huang, Yizhou Sun, Wei Wang

AAAI 2020 Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang

NeurIPSW 2020 Software Language Comprehension Using a Program-Derived Semantics Graph Roshni Iyer, Yizhou Sun, Wei Wang, Justin Gottschlich

AAAI 2019 Embedding Uncertain Knowledge Graphs Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo

NeurIPS 2019 Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu

AAAI 2019 Personalized Question Routing via Heterogeneous Network Embedding Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang

IJCAI 2019 Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang

ICML 2018 Learning K-Way D-Dimensional Discrete Codes for Compact Embedding Representations Ting Chen, Martin Renqiang Min, Yizhou Sun

IJCAI 2017 Semi-Supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-Graph Guided Random Walks He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun

IJCAI 2016 Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang

AAAI 2015 RAIN: Social Role-Aware Information Diffusion Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang

ECML-PKDD 2012 Community Trend Outlier Detection Using Soft Temporal Pattern Mining Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han

ECML-PKDD 2010 Graph Regularized Transductive Classification on Heterogeneous Information Networks Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao

NeurIPS 2009 Graph-Based Consensus Maximization Among Multiple Supervised and Unsupervised Models Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han