Yizhou Sun
Orcid: 0000-0003-1812-6843Affiliations:
- University of California, Los Angeles, CA, USA
- Northeastern University, Boston, USA (former)
According to our database1,
Yizhou Sun
authored at least 280 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Deciphering the abundance of immune cells in glomerular endothelium of Alport syndrome kidneys using the deconvolution algorithm CONVdeconv.
Future Gener. Comput. Syst., 2024
Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics.
CoRR, 2024
CoRR, 2024
Do Contemporary CATE Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Inverse designing metamaterials with programmable nonlinear functional responses in graph space.
CoRR, 2024
CoRR, 2024
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference.
CoRR, 2024
CoRR, 2024
CoRR, 2024
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
CoRR, 2024
CoRR, 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks.
CoRR, 2024
Prediction of systemic lupus erythematosus-related genes based on graph attention network and deep neural network.
Comput. Biol. Medicine, 2024
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations.
Proceedings of the 1st Workshop on Multimodal Search and Recommendations (MMSR 2024) co-located with 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), 2024
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis.
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
EPJ Data Sci., December, 2023
ACM Trans. Inf. Syst., October, 2023
Predicting metabolomic profiles from microbial composition through neural ordinary differential equations.
Nat. Mac. Intell., March, 2023
ACM Trans. Inf. Syst., 2023
Trans. Mach. Learn. Res., 2023
CoRR, 2023
CoRR, 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR, 2023
CoRR, 2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark.
IEEE Trans. Knowl. Data Eng., 2022
A Reliable Cooperative Fusion Positioning Methodology for Intelligent Vehicle in Non-Line-of-Sight Environments.
IEEE Trans. Instrum. Meas., 2022
Proc. VLDB Endow., 2022
Proc. VLDB Endow., 2022
Neural Networks, 2022
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis.
CoRR, 2022
CoRR, 2022
Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search.
CoRR, 2022
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games.
CoRR, 2022
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Adaptive tracking control of unknown state target for CPSs subjected to cyberattacks.
Proceedings of the 17th International Conference on Control, 2022
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Estimating Causal Effects on Networked Observational Data via Representation Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Knowl. Data Eng., 2021
CoRR, 2021
CoRR, 2021
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
Nat. Mach. Intell., 2020
CoRR, 2020
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.
CoRR, 2020
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the GRADES-NDA'20: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Recurrent Meta-Structure for Robust Similarity Measure in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data, 2019
Distributed Parallel Databases, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
How do influencers mention brands in social media?: sponsorship prediction of Instagram posts.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
CoRR, 2018
CoRR, 2018
Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games.
CoRR, 2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018
2017
IEEE Trans. Knowl. Data Eng., 2017
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol., 2017
DMSS: A Robust Deep Meta Structure Based Similarity Measure in Heterogeneous Information Networks.
CoRR, 2017
CoRR, 2017
Recommendation in Context-Rich Environment: An Information Network Analysis Approach.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 26th International Conference on World Wide Web, 2017
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Soc. Netw. Anal. Min., 2016
BMC Bioinform., 2016
Proceedings of the 25th International Conference on World Wide Web, 2016
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Tenth International Conference on Web and Social Media, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Proc. VLDB Endow., 2015
Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Encyclopedia of Social Network Analysis and Mining, 2014
IEEE Trans. Knowl. Data Eng., 2014
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Open educational resource based information understanding via pdf document interaction.
Proceedings of the ACM Web Science Conference, 2014
NewsNetExplorer: automatic construction and exploration of news information networks.
Proceedings of the International Conference on Management of Data, 2014
Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Full-text based context-rich heterogeneous network mining approach for citation recommendation.
Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014
Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
Proceedings of the Data Classification: Algorithms and Applications, 2014
2013
Proceedings of the Mining Social Networks and Security Informatics, 2013
A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models.
IEEE Trans. Knowl. Data Eng., 2013
PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data, 2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
2012
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01902-9, 2012
SIGKDD Explor., 2012
Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach.
Proc. VLDB Endow., 2012
Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes.
Proc. VLDB Endow., 2012
Proceedings of the 3rd International Neural Network Society Winter Conference, 2012
Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach.
Int. J. Distributed Sens. Networks, 2012
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Query-driven discovery of semantically similar substructures in heterogeneous networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Integrating community matching and outlier detection for mining evolutionary community outliers.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
User guided entity similarity search using meta-path selection in heterogeneous information networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks.
Proc. VLDB Endow., 2011
Proceedings of the 20th International Conference on World Wide Web, 2011
WINACS: construction and analysis of web-based computer science information networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011
Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011
2010
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the EDBT 2010, 2010
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010
2009
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Ranking-based clustering of heterogeneous information networks with star network schema.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the ICDM 2009, 2009
RankClus: integrating clustering with ranking for heterogeneous information network analysis.
Proceedings of the EDBT 2009, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008
Proceedings of the Advances in Neural Networks, 2008
2007
Proceedings of the 16th International Conference on World Wide Web, 2007