Yizhou Sun

Orcid: 0000-0003-1812-6843

Affiliations:
  • 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.

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Bibliography

2024
Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks.
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

Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.
CoRR, 2024

Do Contemporary CATE Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark.
CoRR, 2024

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling.
CoRR, 2024

Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference.
CoRR, 2024

Efficient Task Transfer for HLS DSE.
CoRR, 2024

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.
CoRR, 2024

Inverse designing metamaterials with programmable nonlinear functional responses in graph space.
CoRR, 2024

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.
CoRR, 2024

Relational Database Augmented Large Language Model.
CoRR, 2024

Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference.
CoRR, 2024

Hierarchical Compression of Text-Rich Graphs via Large Language Models.
CoRR, 2024

SparseCL: Sparse Contrastive Learning for Contradiction Retrieval.
CoRR, 2024

Automated Molecular Concept Generation and Labeling with Large Language Models.
CoRR, 2024

VideoPhy: Evaluating Physical Commonsense for Video Generation.
CoRR, 2024

Mixture of In-Context Prompters for Tabular PFNs.
CoRR, 2024

HMT: Hierarchical Memory Transformer for Long Context Language Processing.
CoRR, 2024

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
CoRR, 2024

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning.
CoRR, 2024

Hierarchical Attention Models for Multi-Relational Graphs.
CoRR, 2024

Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks.
CoRR, 2024

An Evaluation of Large Language Models in Bioinformatics Research.
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

Fast Inference of Removal-Based Node Influence.
Proceedings of the ACM on Web Conference 2024, 2024

Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks.
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

Learning to Compare Hardware Designs for High-Level Synthesis.
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

PGODE: Towards High-quality System Dynamics Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks.
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

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Detecting political biases of named entities and hashtags on Twitter.
EPJ Data Sci., December, 2023

Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2.
ACM Trans. Inf. Syst., October, 2023

Predicting metabolomic profiles from microbial composition through neural ordinary differential equations.
Nat. Mac. Intell., March, 2023

Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1.
ACM Trans. Inf. Syst., 2023

RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.
Trans. Mach. Learn. Res., 2023

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.
CoRR, 2023

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems.
CoRR, 2023

Unveiling Invariances via Neural Network Pruning.
CoRR, 2023

Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test.
CoRR, 2023

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR, 2023

Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction.
CoRR, 2023

AVIS: Autonomous Visual Information Seeking with Large Language Models.
CoRR, 2023

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023

Code Recommendation for Open Source Software Developers.
Proceedings of the ACM Web Conference 2023, 2023

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings.
Proceedings of the ACM Web Conference 2023, 2023

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs.
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

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalizing Graph ODE for Learning Complex System Dynamics across Environments.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.
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

HOPE: High-order Graph ODE For Modeling Interacting Dynamics.
Proceedings of the International Conference on Machine Learning, 2023

Neural Compositional Rule Learning for Knowledge Graph Reasoning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Robust GNN-Based Representation Learning for HLS.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Question-Answer Sentence Graph for Joint Modeling Answer Selection.
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

Introducing Semantics into Speech Encoders.
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

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes.
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

Guest Editorial: Special Issue on Social Media Computing.
IEEE Trans. Big Data, 2022

Heterogeneous Information Networks: the Past, the Present, and the Future.
Proc. VLDB Endow., 2022

PGE: Robust Product Graph Embedding Learning for Error Detection.
Proc. VLDB Endow., 2022

Multivariate time-series classification with hierarchical variational graph pooling.
Neural Networks, 2022

A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis.
CoRR, 2022

Dissimilar Nodes Improve Graph Active Learning.
CoRR, 2022

Introducing Semantics into Speech Encoders.
CoRR, 2022

Empowering Language Models with Knowledge Graph Reasoning for Question Answering.
CoRR, 2022

Learning Probabilities of Causation from Finite Population Data.
CoRR, 2022

Unit Selection: Learning Benefit Function from Finite Population Data.
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

Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics.
CoRR, 2022

Multi-source Inductive Knowledge Graph Transfer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Multi-Task Generalization via Regularizing Spurious Correlation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RLogic: Recursive Logical Rule Learning from Knowledge Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation.
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

Automated accelerator optimization aided by graph neural networks.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Improving GNN-based accelerator design automation with meta learning.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting.
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

Schema-Guided Event Graph Completion.
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

Unsupervised Adversarially Robust Representation Learning on Graphs.
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

GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Towards Fine-Grained Reasoning for Fake News Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Fuzzy Logic Based Logical Query Answering on Knowledge Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks.
IEEE Trans. Knowl. Data Eng., 2021

Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks.
CoRR, 2021

Deep Learning of Potential Outcomes.
CoRR, 2021

Fuzzy Logic based Logical Query Answering on Knowledge Graph.
CoRR, 2021

Clinical Named Entity Recognition using Contextualized Token Representations.
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

MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Coupled Graph ODE for Learning Interacting System Dynamics.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

GLSearch: Maximum Common Subgraph Detection via Learning to Search.
Proceedings of the 38th International Conference on Machine Learning, 2021

Bi-Level Attention Graph Neural Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

CREATe: Clinical Report Extraction and Annotation Technology.
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

Relation-Guided Pre-Training for Open-Domain Question Answering.
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
Network Embedding for Community Detection in Attributed Networks.
ACM Trans. Knowl. Discov. Data, 2020

Finding key players in complex networks through deep reinforcement learning.
Nat. Mach. Intell., 2020

Motif-Driven Contrastive Learning of Graph Representations.
CoRR, 2020

Query-free Black-box Adversarial Attacks on Graphs.
CoRR, 2020

Unsupervised Adversarially-Robust Representation Learning on Graphs.
CoRR, 2020

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling.
CoRR, 2020

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction.
CoRR, 2020

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.
CoRR, 2020

Software Language Comprehension using a Program-Derived Semantic Graph.
CoRR, 2020

Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.
CoRR, 2020

Fast Detection of Maximum Common Subgraph via Deep Q-Learning.
CoRR, 2020

Heterogeneous Graph Transformer.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Graph Neural Networks for Graph Search.
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

Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations.
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

GPT-GNN: Generative Pre-Training of Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Heterogeneous Network Representation Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Differentiable Product Quantization for End-to-End Embedding Compression.
Proceedings of the 37th International Conference on Machine Learning, 2020

Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer.
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

Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases.
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

Abstract cost models for distributed data-intensive computations.
Distributed Parallel Databases, 2019

Differentiable Product Quantization for End-to-End Embedding Compression.
CoRR, 2019

Pre-Training Graph Neural Networks for Generic Structural Feature Extraction.
CoRR, 2019

Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification.
CoRR, 2019

Learning Fair Representations via an Adversarial Framework.
CoRR, 2019

Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity.
CoRR, 2019

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation.
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

Understanding Default Behavior in Online Lending.
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

Few-Shot Representation Learning for Out-Of-Vocabulary Words.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Personalized Question Routing via Heterogeneous Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Embedding Uncertain Knowledge Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Ranking Methods for Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Modeling Personalized Dynamics of Social Network and Opinion at Individual Level.
CoRR, 2018

Convolutional Set Matching for Graph Similarity.
CoRR, 2018

Convolutional Neural Networks for Fast Approximation of Graph Edit Distance.
CoRR, 2018

Graph Edit Distance Computation via Graph Neural Networks.
CoRR, 2018

Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games.
CoRR, 2018

RaRE: Social Rank Regulated Large-scale Network Embedding.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

HeteroNAM: International Workshop on Heterogeneous Networks Analysis and Mining.
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

Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations.
Proceedings of the 35th International Conference on Machine Learning, 2018

HeteroMed: Heterogeneous Information Network for Medical Diagnosis.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017
A Survey of Heterogeneous Information Network Analysis.
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

Learning K-way D-dimensional Discrete Code For Compact Embedding Representations.
CoRR, 2017

Player Skill Decomposition in Multiplayer Online Battle Arenas.
CoRR, 2017

Joint Text Embedding for Personalized Content-based Recommendation.
CoRR, 2017

Recommendation in Context-Rich Environment: An Information Network Analysis Approach.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

User Stance Prediction via Online Behavior Mining.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

EOMM: An Engagement Optimized Matchmaking Framework.
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

Ideology Detection for Twitter Users via Link Analysis.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

The Co-Evolution Model for Social Network Evolving and Opinion Migration.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

On Sampling Strategies for Neural Network-based Collaborative Filtering.
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

A Case for Abstract Cost Models for Distributed Execution of Analytics Operators.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks.
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
Design of reciprocal recommendation systems for online dating.
Soc. Netw. Anal. Min., 2016

Ideology Detection for Twitter Users with Heterogeneous Types of Links.
CoRR, 2016

Predicting drug target interactions using meta-path-based semantic network analysis.
BMC Bioinform., 2016

Learning Global Term Weights for Content-based Recommender Systems.
Proceedings of the 25th International Conference on World Wide Web, 2016

WSDM Cup 2016: Entity Ranking Challenge.
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

Integrating Community and Role Detection in Information Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Meta Structure: Computing Relevance in Large Heterogeneous Information Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Cross Social Media Recommendation.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Toward Representation Independent Analytics over Structured Data.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Towards Representation Independent Similarity Search Over Graph Databases.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Universal-DB: Towards Representation Independent Graph Analytics.
Proc. VLDB Endow., 2015

Representation Independent Proximity and Similarity Search.
CoRR, 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

Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Entity Matching across Heterogeneous Sources.
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

Reciprocal Recommendation System for Online Dating.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Context-aware Entity Morph Decoding.
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

Successful Data Mining Methods for NLP.
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

RAIN: Social Role-Aware Information Diffusion.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Ranking Methods for Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

LCARS: A Spatial Item Recommender System.
ACM Trans. Inf. Syst., 2014

Co-Evolution of Multi-Typed Objects in Dynamic Star Networks.
IEEE Trans. Knowl. Data Eng., 2014

Representation Independent Analytics Over Structured Data.
CoRR, 2014

Personalized entity recommendation: a heterogeneous information network approach.
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

Toward General Similarity Search Over Graphs.
Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014

Topic-factorized ideal point estimation model for legislative voting network.
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

Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Be Appropriate and Funny: Automatic Entity Morph Encoding.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Probabilistic Models for Classification.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Perspective on Measurement Metrics for Community Detection Algorithms.
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

Research-insight: providing insight on research by publication network analysis.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Recommendation in heterogeneous information networks with implicit user feedback.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

LCARS: a location-content-aware recommender system.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Semantic Frame-Based Document Representation for Comparable Corpora.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Resolving Entity Morphs in Censored Data.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Mining Heterogeneous Information Networks: Principles and Methodologies
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01902-9, 2012

Mining heterogeneous information networks
PhD thesis, 2012

Mining heterogeneous information networks: a structural analysis approach.
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

Robustness Test of Genetic Algorithm on Generating Rules for Currency Trading.
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

When will it happen?: relationship prediction in heterogeneous information networks.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Community Trend Outlier Detection Using Soft Temporal Pattern Mining.
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

Predicting Links in Multi-relational and Heterogeneous Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

ETM: Entity Topic Models for Mining Documents Associated with Entities.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Multidimensional Analysis of Atypical Events in Cyber-Physical Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Mining Knowledge from Data: An Information Network Analysis Approach.
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

Probabilistic Models for Text Mining.
Proceedings of the Mining Text Data, 2012

2011
PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks.
Proc. VLDB Endow., 2011

Trust analysis with clustering.
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

Apollo: Towards factfinding in participatory sensing.
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

Co-author Relationship Prediction in Heterogeneous Bibliographic Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Evolutionary Clustering and Analysis of Bibliographic Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2010
Mining knowledge from databases: an information network analysis approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Graph Regularized Transductive Classification on Heterogeneous Information Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Community evolution detection in dynamic heterogeneous information networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

On community outliers and their efficient detection in information networks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Region-based online promotion analysis.
Proceedings of the EDBT 2010, 2010

Fast computation of SimRank for static and dynamic information networks.
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

Integrating Clustering with Ranking in Heterogeneous Information Networks Analysis.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
iNextCube: Information Network-Enhanced Text Cube.
Proc. VLDB Endow., 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

Heterogeneous source consensus learning via decision propagation and negotiation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

iTopicModel: Information Network-Integrated Topic Modeling.
Proceedings of the ICDM 2009, 2009

RankClus: integrating clustering with ranking for heterogeneous information network analysis.
Proceedings of the EDBT 2009, 2009

P-Rank: a comprehensive structural similarity measure over information networks.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
BibNetMiner: mining bibliographic information networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Sampling cube: a framework for statistical olap over sampling data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network.
Proceedings of the Advances in Neural Networks, 2008

2007
Causal relation of queries from temporal logs.
Proceedings of the 16th International Conference on World Wide Web, 2007


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