Yizhou Sun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
168
Venues
29
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*KDD26 papers
- A*AAAI15 papers
- A*ACL15 papers
- A*WWW15 papers
- ACIKM14 papers
- A*ICML11 papers
- A*SIGMOD8 papers
- A*EMNLP7 papers
- A*ICLR7 papers
- A*ICDM7 papers
- AWSDM6 papers
- A*IJCAI5 papers
- ASDM4 papers
- A*ICDE4 papers
- ANAACL3 papers
- BEDBT3 papers
- AFPGA2 papers
- AICCAD2 papers
- CIGARSS2 papers
- A*DAC2 papers
- ARecSys2 papers
- BCOLING1 paper
- A*ICCV1 paper
- A*CVPR1 paper
- AEACL1 paper
- CICARCV1 paper
- BDaWaK1 paper
- AICWSM1 paper
- CISNN1 paper
Papers
168 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Model AI Assignments 2026. | Todd W. Neller, Steve Geinitz, Kevin Wang, Zach Dodds, Nicholas Dodds, Ryan O'Connor, Aimen Taha, Ananta Manoranjan, Saurabh Ray, Deepak Ajwani, Fang Sun, Paul Zhang, Pranav Subbaraman, Yizhou Sun, Lisa Dunlap, Taehan Kim, Deena Sun, Ishir Garg, Mark Ogata, Aakarsh Vermani, Narges Norouzi, Joseph Gonzalez, Varada Kolhatkar |
| 2026 | ACL | Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models. | Eric Hanchen Jiang, Levina Li, Frank Wan, Xiao Liang, Sophia Yin, Yuchen Wu, Xinfeng Li, Yizhou Sun, Wei Wang, Kai-Wei Chang, Ying Nian Wu |
| 2026 | ACL | Why Are We Moral? An LLM-based Agent Simulation Approach to the Study of Moral Evolution. | Zhou Ziheng, Huacong Tang, Mingjie Bi, Wanying He, Fang Sun, Yizhou Sun, Ying Nian Wu, Demetri Terzopoulos, Yipeng Kang, Fangwei Zhong |
| 2026 | FPGA | AgRefactor: Refactoring for HLS Compatibility with a Self-Evolving Agentic Workflow. | Yang Zou, Zijian Ding, Chi Wang, Yizhou Sun, Jason Cong |
| 2026 | KDD | Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics. | Ruoyan Li, Zijie Huang, Haixin Wang, Guancheng Wan, Yizhou Sun, Wei Wang |
| 2026 | WWW | From Newborn to Impact: Bias-Aware Citation Prediction. | Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang |
| 2025 | AAAI | Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis. | Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun |
| 2025 | AAAI | Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation. | Yanna Ding, Zijie Huang, Xiao Shou, Yihang Guo, Yizhou Sun, Jianxi Gao |
| 2025 | AAAI | Dynamic-Width Speculative Beam Decoding for LLM Inference. | Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun |
| 2025 | ACL | Open-Set Living Need Prediction with Large Language Models. | Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinleishi, Hengliang Luo, Yong Li |
| 2025 | ACL | V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning. | Zongyu Lin, Zhikun Xu, Xiaohan Song, Yixin Wan, Xingcheng Yao, Tsung-Han Lin, Selina Song, Pranav Subbaraman, Ben Zhou, Kai-Wei Chang, Yizhou Sun |
| 2025 | ACL | Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection. | Mingyu Derek Ma, Yanna Ding, Zijie Huang, Jianxi Gao, Yizhou Sun, Wei Wang |
| 2025 | COLING | Automated Molecular Concept Generation and Labeling with Large Language Models. | Zimin Zhang, Qianli Wu, Botao Xia, Fang Sun, Ziniu Hu, Yizhou Sun, Shichang Zhang |
| 2025 | EMNLP | How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective. | Xiao Luo, Changhu Wang, Yizhou Sun, Wei Wang |
| 2025 | EMNLP | Protein Large Language Models: A Comprehensive Survey. | Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference. | Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun |
| 2025 | ICLR | Mixture of In-Context Prompters for Tabular PFNs. | Derek Qiang Xu, F. Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang |
| 2025 | ICLR | Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark. | Haining Yu, Yizhou Sun |
| 2025 | ICML | 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 |
| 2025 | ICML | Rethink GraphODE Generalization within Coupled Dynamical System. | Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang |
| 2025 | ICML | Contradiction Retrieval via Contrastive Learning with Sparsity. | Haike Xu, Zongyu Lin, Kai-Wei Chang, Yizhou Sun, Piotr Indyk |
| 2025 | KDD | Future Matters for Present: Towards Effective Physical Simulation over Meshes. | Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun |
| 2025 | KDD | Neural Network Pruning for Invariance Learning. | Derek Xu, Yuanzhou Chen, Yizhou Sun, Wei Wang |
| 2025 | NAACL | HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing. | Zifan He, Yingqi Cao, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong |
| 2025 | NAACL | How Do Large Language Models Perform in Dynamical System Modeling. | Xiao Luo, Binqi Chen, Haixin Wang, Zhiping Xiao, Ming Zhang, Yizhou Sun |
| 2024 | ACL | FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. | Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun |
| 2024 | EMNLP | Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. | Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun |
| 2024 | ICCAD | Efficient Task Transfer for HLS DSE. | Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. | Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun |
| 2024 | ICML | Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. | Arjun Subramonian, Levent Sagun, Yizhou Sun |
| 2024 | ICML | 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 |
| 2024 | IJCAI | A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). | Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun |
| 2024 | NAACL | RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. | Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz |
| 2024 | WWW | Fast Inference of Removal-Based Node Influence. | Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun |
| 2024 | WWW | 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 |
| 2024 | SDM | Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks. | Yewen Wang, Shichang Zhang, John (Junghoo) Cho, Yizhou Sun |
| 2023 | AAAI | Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. | Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie |
| 2023 | ACL | 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, Wei Wang |
| 2023 | ACL | Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. | Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun |
| 2023 | ACL | Introducing Semantics into Speech Encoders. | 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 |
| 2023 | CVPR | 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 |
| 2023 | EACL | Question-Answer Sentence Graph for Joint Modeling Answer Selection. | Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun |
| 2023 | ICCAD | Robust GNN-Based Representation Learning for HLS. | Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong |
| 2023 | ICLR | Neural Compositional Rule Learning for Knowledge Graph Reasoning. | Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun |
| 2023 | ICML | 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 |
| 2023 | IGARSS | Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web. | Ben Gorr, Alan Aguilar Jaramillo, Zida Wu, Wooyeong Cho, Kewei Cheng, Molly K. Stroud, Vinay Ravindra, Cdric H. David, Huilin Gao, Yizhou Sun, Ankur Mehta, George H. Allen, Daniel Selva |
| 2023 | IGARSS | Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts. | Alan Aguilar Jaramillo, Ben Gorr, Vinay Ravindra, Cdric H. David, Molly K. Stroud, Ankur Mehta, George H. Allen, Wooyeong Cho, Kewei Cheng, Huilin Gao, Yizhou Sun, Zida Wu, Daniel Selva |
| 2023 | KDD | CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. | Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun |
| 2023 | KDD | Generalizing Graph ODE for Learning Complex System Dynamics across Environments. | Zijie Huang, Yizhou Sun, Wei Wang |
| 2023 | WWW | A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. | Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun |
| 2023 | WWW | Code Recommendation for Open Source Software Developers. | Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang |
| 2023 | WWW | PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. | Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun |
| 2022 | AAAI | Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. | Xuelu Chen, Ziniu Hu, Yizhou Sun |
| 2022 | AAAI | Towards Fine-Grained Reasoning for Fake News Detection. | Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie |
| 2022 | AAAI | GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). | Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun |
| 2022 | AAAI | 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 |
| 2022 | AAAI | Unsupervised Adversarially Robust Representation Learning on Graphs. | Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun |
| 2022 | ACL | 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 |
| 2022 | CIKM | Estimating Causal Effects on Networked Observational Data via Representation Learning. | Song Jiang, Yizhou Sun |
| 2022 | CIKM | Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. | Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun |
| 2022 | DAC | Improving GNN-based accelerator design automation with meta learning. | Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong |
| 2022 | DAC | Automated accelerator optimization aided by graph neural networks. | Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong |
| 2022 | EMNLP | Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. | Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun |
| 2022 | FPGA | Automated Accelerator Optimization Aided by Graph Neural Networks. | Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong |
| 2022 | ICARCV | Adaptive tracking control of unknown state target for CPSs subjected to cyberattacks. | Yizhou Sun, Ya Zhang |
| 2022 | ICLR | Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. | Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah |
| 2022 | KDD | RLogic: Recursive Logical Rule Learning from Knowledge Graphs. | Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun |
| 2022 | KDD | Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. | Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun |
| 2021 | AAAI | 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 |
| 2021 | EMNLP | UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference. | Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun |
| 2021 | EMNLP | Relation-Guided Pre-Training for Open-Domain Question Answering. | Ziniu Hu, Yizhou Sun, Kai-Wei Chang |
| 2021 | ICDE | Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. | Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis |
| 2021 | ICDE | CREATe: Clinical Report Extraction and Annotation Technology. | Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang |
| 2021 | ICDM | Bi-Level Attention Graph Neural Networks. | Roshni G. Iyer, Wei Wang, Yizhou Sun |
| 2021 | ICML | GLSearch: Maximum Common Subgraph Detection via Learning to Search. | Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang |
| 2021 | KDD | Coupled Graph ODE for Learning Interacting System Dynamics. | Zijie Huang, Yizhou Sun, Wei Wang |
| 2021 | KDD | MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks. | Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma zcan, Yizhou Sun, Wei Wang |
| 2021 | WWW | HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. | Song Jiang, Bernard Koch, Yizhou Sun |
| 2020 | AAAI | Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. | Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang |
| 2020 | CIKM | P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. | Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang |
| 2020 | EMNLP | Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. | Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo |
| 2020 | ICDM | Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. | Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang |
| 2020 | ICML | Differentiable Product Quantization for End-to-End Embedding Compression. | Ting Chen, Lala Li, Yizhou Sun |
| 2020 | IJCAI | Heterogeneous Network Representation Learning. | Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang |
| 2020 | KDD | TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. | Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun |
| 2020 | KDD | GPT-GNN: Generative Pre-Training of Graph Neural Networks. | Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun |
| 2020 | KDD | GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases. | Zongyue Qin, Yunsheng Bai, Yizhou Sun |
| 2020 | WWW | Heterogeneous Graph Transformer. | Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun |
| 2020 | SIGMOD | Graph Neural Networks for Graph Search. | Yizhou Sun |
| 2019 | AAAI | Embedding Uncertain Knowledge Graphs. | Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo |
| 2019 | AAAI | Personalized Question Routing via Heterogeneous Network Embedding. | Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang |
| 2019 | ACL | Few-Shot Representation Learning for Out-Of-Vocabulary Words. | Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun |
| 2019 | CIKM | Understanding Default Behavior in Online Lending. | Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu |
| 2019 | CIKM | Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. | Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu |
| 2019 | IJCAI | 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 |
| 2019 | KDD | Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. | Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang |
| 2019 | WSDM | SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. | Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang |
| 2018 | CIKM | HeteroMed: Heterogeneous Information Network for Medical Diagnosis. | Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh |
| 2018 | ICML | Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. | Ting Chen, Martin Renqiang Min, Yizhou Sun |
| 2018 | RecSys | The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games. | Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Christopher Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr |
| 2018 | WWW | RaRE: Social Rank Regulated Large-scale Network Embedding. | Yupeng Gu, Yizhou Sun, Yanen Li, Yang Yang |
| 2018 | WSDM | HeteroNAM: International Workshop on Heterogeneous Networks Analysis and Mining. | Shobeir Fakhraei, Yanen Li, Yizhou Sun, Tim Weninger |
| 2017 | CIKM | Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction. | Rui Dong, Yizhou Sun, Lu Wang, Yupeng Gu, Yuan Zhong |
| 2017 | CIKM | Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. | Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han |
| 2017 | DaWaK | A Case for Abstract Cost Models for Distributed Execution of Analytics Operators. | Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, Yi Yao |
| 2017 | IJCAI | 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 |
| 2017 | KDD | On Sampling Strategies for Neural Network-based Collaborative Filtering. | Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong |
| 2017 | KDD | The Co-Evolution Model for Social Network Evolving and Opinion Migration. | Yupeng Gu, Yizhou Sun, Jianxi Gao |
| 2017 | WWW | EOMM: An Engagement Optimized Matchmaking Framework. | Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, Magy Seif El-Nasr |
| 2017 | WWW | User Stance Prediction via Online Behavior Mining. | Yizhou Sun |
| 2017 | WWW | Recommendation in Context-Rich Environment: An Information Network Analysis Approach. | Yizhou Sun, Hongzhi Yin, Xiang Ren |
| 2017 | WSDM | Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. | Ting Chen, Yizhou Sun |
| 2016 | CIKM | Towards Representation Independent Similarity Search Over Graph Databases. | Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun |
| 2016 | ICDM | Toward Representation Independent Analytics over Structured Data. | Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun |
| 2016 | IJCAI | Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. | Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang |
| 2016 | ICWSM | Cross Social Media Recommendation. | Xiaozhong Liu, Tian Xia, Yingying Yu, Chun Guo, Yizhou Sun |
| 2016 | KDD | Meta Structure: Computing Relevance in Large Heterogeneous Information Networks. | Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li |
| 2016 | WWW | Learning Global Term Weights for Content-based Recommender Systems. | Yupeng Gu, Bo Zhao, David Hardtke, Yizhou Sun |
| 2016 | WSDM | WSDM Cup 2016: Entity Ranking Challenge. | Alex D. Wade, Kuansan Wang, Yizhou Sun, Antonio Gulli |
| 2016 | SDM | Integrating Community and Role Detection in Information Networks. | Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang |
| 2016 | SDM | RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. | Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang |
| 2015 | AAAI | RAIN: Social Role-Aware Information Diffusion. | Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang |
| 2015 | ACL | Successful Data Mining Methods for NLP. | Jiawei Han, Heng Ji, Yizhou Sun |
| 2015 | ACL | Context-aware Entity Morph Decoding. | Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Sujian Li, Chin-Yew Lin, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Blent Yener |
| 2015 | KDD | Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. | Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou |
| 2015 | KDD | Entity Matching across Heterogeneous Sources. | Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li |
| 2015 | SDM | Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. | Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer G. Dy |
| 2014 | ACL | Be Appropriate and Funny: Automatic Entity Morph Encoding. | Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Blent Yener |
| 2014 | CIKM | Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks. | Huan Gui, Yizhou Sun, Jiawei Han, George Brova |
| 2014 | CIKM | Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation. | Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun |
| 2014 | KDD | Topic-factorized ideal point estimation model for legislative voting network. | Yupeng Gu, Yizhou Sun, Ning Jiang, Bingyu Wang, Ting Chen |
| 2014 | SIGMOD | Toward General Similarity Search Over Graphs. | Yodsawalai Chodpathumwan, Arash Termehchy, Yizhou Sun, Amirhossein Aleyasen, Jose Picado |
| 2014 | SIGMOD | NewsNetExplorer: automatic construction and exploration of news information networks. | Fangbo Tao, George Brova, Jiawei Han, Heng Ji, Chi Wang, Brandon Norick, Ahmed El-Kishky, Jialu Liu, Xiang Ren, Yizhou Sun |
| 2014 | WSDM | Personalized entity recommendation: a heterogeneous information network approach. | Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han |
| 2013 | ACL | Resolving Entity Morphs in Censored Data. | Hongzhao Huang, Zhen Wen, Dian Yu, Heng Ji, Yizhou Sun, Jiawei Han, He Li |
| 2013 | ICDM | Semantic Frame-Based Document Representation for Comparable Corpora. | Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, Jiawei Han |
| 2013 | KDD | LCARS: a location-content-aware recommender system. | Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen |
| 2013 | RecSys | Recommendation in heterogeneous information networks with implicit user feedback. | Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han |
| 2013 | SIGMOD | Research-insight: providing insight on research by publication network analysis. | Fangbo Tao, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang, Lidan Wang, Tim Weninger |
| 2012 | CIKM | User guided entity similarity search using meta-path selection in heterogeneous information networks. | Xiao Yu, Yizhou Sun, Brandon Norick, Tiancheng Mao, Jiawei Han |
| 2012 | ICDE | Mining Knowledge from Data: An Information Network Analysis Approach. | Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu |
| 2012 | ICDE | Multidimensional Analysis of Atypical Events in Cyber-Physical Data. | Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Hector Gonzalez, Sebastian Seith |
| 2012 | ICDM | ETM: Entity Topic Models for Mining Documents Associated with Entities. | Hyungsul Kim, Yizhou Sun, Julia Hockenmaier, Jiawei Han |
| 2012 | ICDM | Predicting Links in Multi-relational and Heterogeneous Networks. | Yang Yang, Nitesh V. Chawla, Yizhou Sun, Jiawei Han |
| 2012 | KDD | Integrating community matching and outlier detection for mining evolutionary community outliers. | Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han |
| 2012 | KDD | Integrating meta-path selection with user-guided object clustering in heterogeneous information networks. | Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu |
| 2012 | KDD | Query-driven discovery of semantically similar substructures in heterogeneous networks. | Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han |
| 2012 | WSDM | When will it happen?: relationship prediction in heterogeneous information networks. | Yizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla |
| 2011 | WWW | Trust analysis with clustering. | Manish Gupta, Yizhou Sun, Jiawei Han |
| 2011 | SIGMOD | WINACS: construction and analysis of web-based computer science information networks. | Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua M. Hailpern, Jiawei Han, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, Xiao Yu |
| 2010 | CIKM | SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks. | Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, Yaguang Liu |
| 2010 | EDBT | Fast computation of SimRank for static and dynamic information networks. | Cuiping Li, Jiawei Han, Guoming He, Xin Jin, Yizhou Sun, Yintao Yu, Tianyi Wu |
| 2010 | EDBT | Region-based online promotion analysis. | Tianyi Wu, Yizhou Sun, Cuiping Li, Jiawei Han |
| 2010 | KDD | On community outliers and their efficient detection in information networks. | Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han |
| 2010 | SIGMOD | Mining knowledge from databases: an information network analysis approach. | Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu |
| 2009 | CIKM | P-Rank: a comprehensive structural similarity measure over information networks. | Peixiang Zhao, Jiawei Han, Yizhou Sun |
| 2009 | EDBT | RankClus: integrating clustering with ranking for heterogeneous information network analysis. | Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng, Tianyi Wu |
| 2009 | ICDM | iTopicModel: Information Network-Integrated Topic Modeling. | Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu |
| 2009 | KDD | Heterogeneous source consensus learning via decision propagation and negotiation. | Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han |
| 2009 | KDD | Ranking-based clustering of heterogeneous information networks with star network schema. | Yizhou Sun, Yintao Yu, Jiawei Han |
| 2008 | ISNN | Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network. | Shan He, Cheng Hu, Guojie Song, Kunqing Xie, Yizhou Sun |
| 2008 | SIGMOD | Sampling cube: a framework for statistical olap over sampling data. | Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Yizhou Sun |
| 2008 | SIGMOD | BibNetMiner: mining bibliographic information networks. | Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, Peixiang Zhao |
| 2007 | WWW | Causal relation of queries from temporal logs. | Yizhou Sun, Kunqing Xie, Ning Liu, Shuicheng Yan, Benyu Zhang, Zheng Chen |