Yizhou Sun

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 238

Top Venues

Publications

Fang Fang, Yizhou Sun
Prediction of systemic lupus erythematosus-related genes based on graph attention network and deep neural network. Comput. Biol. Medicine 175 (2024)
Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. WWW (2024)
Haike Xu, Zongyu Lin, Yizhou Sun, Kai-Wei Chang, Piotr Indyk
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval. CoRR (2024)
Yewen Wang, Shichang Zhang, John (Junghoo) Cho, Yizhou Sun
Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks. SDM (2024)
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
Fast Inference of Removal-Based Node Influence. CoRR (2024)
Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference. CoRR (2024)
Roshni G. Iyer, Wei Wang, Yizhou Sun
Hierarchical Attention Models for Multi-Relational Graphs. CoRR (2024)
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
Fast Inference of Removal-Based Node Influence. WWW (2024)
Zongyue Qin, Chen Luo, Zhengyang Wang, Haoming Jiang, Yizhou Sun
Relational Database Augmented Large Language Model. CoRR (2024)
Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. CoRR (2024)
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
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. ICLR (2024)
Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover
VideoPhy: Evaluating Physical Commonsense for Video Generation. CoRR (2024)
Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. CoRR (2024)
Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. CoRR (2024)
Shichang Zhang, Botao Xia, Zimin Zhang, Qianli Wu, Fang Sun, Ziniu Hu, Yizhou Sun
Automated Molecular Concept Generation and Labeling with Large Language Models. CoRR (2024)
Arjun Subramonian, Jian Kang, Yizhou Sun
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks. CoRR (2024)
Yizhou Sun, Jiao Liu, Fang Fang, Yaoguo Huang
Deciphering the abundance of immune cells in glomerular endothelium of Alport syndrome kidneys using the deconvolution algorithm CONVdeconv. Future Gener. Comput. Syst. 161 (2024)
Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR (2024)
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT (2024)
Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. ACL (Findings) (2024)
Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong
HMT: Hierarchical Memory Transformer for Long Context Language Processing. CoRR (2024)
Hengchuang Yin, Zhonghui Gu, Fanhao Wang, Yiparemu Abuduhaibaier, Yanqiao Zhu, Xinming Tu, Xian-Sheng Hua, Xiao Luo, Yizhou Sun
An Evaluation of Large Language Models in Bioinformatics Research. CoRR (2024)
Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. CoRR (2024)
Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR (2024)
Derek Xu, Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang
Mixture of In-Context Prompters for Tabular PFNs. CoRR (2024)
Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR (2024)
Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun, Wei Wang
Introducing Semantics into Speech Encoders. ACL (1) (2023)
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi
AVIS: Autonomous Visual Information Seeking with Large Language Models. CoRR (2023)
Roshni G. Iyer, Wei Wang, Yizhou Sun
Bi-Level Attention Graph Neural Networks. CoRR (2023)
Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. CoRR (2023)
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
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. CoRR (2023)
Zijie Huang, Yizhou Sun, Wei Wang
Generalizing Graph ODE for Learning Complex System Dynamics across Environments. CoRR (2023)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) (2023)
Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. NeurIPS (2023)
Zijie Huang, Yizhou Sun, Wei Wang
Generalizing Graph ODE for Learning Complex System Dynamics across Environments. KDD (2023)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Robust GNN-Based Representation Learning for HLS. ICCAD (2023)
Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun
Question-Answer Sentence Graph for Joint Modeling Answer Selection. EACL (2023)
Derek Xu, Yizhou Sun, Wei Wang
Unveiling Invariances via Neural Network Pruning. CoRR (2023)
Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation. CoRR (2023)
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR (2023)
Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs. NeurIPS (2023)
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. Trans. Mach. Learn. Res. 2023 (2023)
Tong Wang, Xu-Wen Wang, Kathleen A. Lee-Sarwar, Augusto A. Litonjua, Scott T. Weiss, Yizhou Sun, Sergei Maslov, Yang-Yu Liu
Predicting metabolomic profiles from microbial composition through neural ordinary differential equations. Nat. Mac. Intell. 5 (3) (2023)
Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. CoRR (2023)
Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR (2023)
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. CoRR (2023)
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR (2023)
Alan Aguilar Jaramillo, Ben Gorr, Vinay Ravindra, Cédric H. David, Molly Stroud, Ankur Mehta, George Allen, Wooyeong Cho, Kewei Cheng, Huilin Gao, Yizhou Sun, Zida Wu, Daniel Selva
Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts. IGARSS (2023)
Arjun Subramonian, Adina Williams, Maximilian Nickel, Yizhou Sun, Levent Sagun
Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test. CoRR (2023)
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR (2023)
Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun
Detecting political biases of named entities and hashtags on Twitter. EPJ Data Sci. 12 (1) (2023)
Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks. CoRR (2023)
Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. ACM Trans. Inf. Syst. 41 (4) (2023)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR (2023)
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
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS (2023)
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
HOPE: High-order Graph ODE For Modeling Interacting Dynamics. ICML (2023)
Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang
Code Recommendation for Open Source Software Developers. WWW (2023)
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. WWW (2023)
Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 41 (3) (2023)
Shengming Zhang, Yizhou Sun
Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction. CoRR (2023)
Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. ACL (industry) (2023)
Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun
Neural Compositional Rule Learning for Knowledge Graph Reasoning. ICLR (2023)
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. CoRR (2023)
Arjun Subramonian, Levent Sagun, Yizhou Sun
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. CoRR (2023)
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. KDD (2023)
Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. WWW (2023)
Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR (2023)
Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun
Neural Compositional Rule Learning for Knowledge Graph Reasoning. CoRR (2023)
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI (2023)
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. NeurIPS (2023)
Ben Gorr, Alan Aguilar Jaramillo, Zida Wu, Wooyeong Cho, Kewei Cheng, Molly Stroud, Vinay Ravindra, Cédric H. David, Huilin Gao, Yizhou Sun, Ankur Mehta, George H. Allen, Daniel Selva
Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web. IGARSS (2023)
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
Improving Multi-Task Generalization via Regularizing Spurious Correlation. NeurIPS (2022)
Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR (2022)
Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun
Question-Answer Sentence Graph for Joint Modeling Answer Selection. CoRR (2022)
Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. KDD (2022)
Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). AAAI (2022)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Automated Accelerator Optimization Aided by Graph Neural Networks. FPGA (2022)
Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. CoRR (2022)
Song Jiang, Yizhou Sun
Estimating Causal Effects on Networked Observational Data via Representation Learning. CIKM (2022)
Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang
Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks 154 (2022)
Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang
Multi-source Inductive Knowledge Graph Transfer. ECML/PKDD (2) (2022)
Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang
Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search. CoRR (2022)
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. CoRR (2022)
Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
PGE: Robust Product Graph Embedding Learning for Error Detection. CoRR (2022)
Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji
Schema-Guided Event Graph Completion. AKBC (2022)
Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Alexei Baevski, Guan-Ting Lin, Hung-yi Lee, Yizhou Sun, Wei Wang
Introducing Semantics into Speech Encoders. CoRR (2022)
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
Automated accelerator optimization aided by graph neural networks. DAC (2022)
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes. CoRR (2022)
Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics. CoRR (2022)
Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong
Improving GNN-based accelerator design automation with meta learning. DAC (2022)
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR (2022)
Xuelu Chen, Ziniu Hu, Yizhou Sun
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. AAAI (2022)
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
Unit Selection: Learning Benefit Function from Finite Population Data. CoRR (2022)
Yizhou Sun, Ya Zhang
Adaptive tracking control of unknown state target for CPSs subjected to cyberattacks. ICARCV (2022)
Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun
Detecting Political Biases of Named Entities and Hashtags on Twitter. CoRR (2022)
Danfeng Guo, Zijie Huang, Junheng Hao, Yizhou Sun, Wei Wang, Demetri Terzopoulos
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis. CoRR (2022)
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP (2022)
Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. CoRR (2022)
Kewei Cheng, Xian Li, Yifan Xu, Xin Dong, Yizhou Sun
PGE: Robust Product Graph Embedding Learning for Error Detection. Proc. VLDB Endow. 15 (6) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yizhou Sun