Yinglong Xia

Orcid: 0000-0002-8155-5440

According to our database1, Yinglong Xia authored at least 100 papers between 2005 and 2024.

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Bibliography

2024
Discovering and Maintaining the Best $k$k in Core Decomposition.
IEEE Trans. Knowl. Data Eng., November, 2024

Retrieval Augmentation via User Interest Clustering.
CoRR, 2024

LLM-Rec: Personalized Recommendation via Prompting Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 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

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Mixture of Weak and Strong Experts on Graphs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Deceptive Fairness Attacks on Graphs via Meta Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hierarchical Multi-Marginal Optimal Transport for Network Alignment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Mixture of Weak & Strong Experts on Graphs.
CoRR, 2023

LLM-Rec: Personalized Recommendation via Prompting Large Language Models.
CoRR, 2023

PARROT: Position-Aware Regularized Optimal Transport for Network Alignment.
Proceedings of the ACM Web Conference 2023, 2023

Representation Learning on Dynamic Network of Networks.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

An Efficient Distributed Graph Engine for Deep Learning on Graphs.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Deep Learning on Graphs: Methods and Applications (DLG-KDD2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Graph Dictionary Learning.
Proceedings of the International Conference on Machine Learning, 2023

User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Explainable Fairness in Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Deep Learning on Graphs: Methods and Applications (DLG-KDD2022).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint Knowledge Graph Completion and Question Answering.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

iFiG: Individually Fair Multi-view Graph Clustering.
Proceedings of the IEEE International Conference on Big Data, 2022

Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Graph Ranking Auditing: Problem Definition and Fast Solutions.
IEEE Trans. Knowl. Data Eng., 2021

Incremental one-class collaborative filtering with co-evolving side networks.
Knowl. Inf. Syst., 2021

Dynamic Graph Representation Learning via Graph Transformer Networks.
CoRR, 2021

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decoupling the Depth and Scope of Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Balancing Consistency and Disparity in Network Alignment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DESTINE: Dense Subgraph Detection on Multi-Layered Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
The LDBC Graphalytics Benchmark.
CoRR, 2020

Revisiting Graph Neural Networks for Link Prediction.
CoRR, 2020

NetTrans: Neural Cross-Network Transformation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Finding the Best k in Core Decomposition: A Time and Space Optimal Solution.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Ranking on Network of Heterogeneous Information Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Guest Editorial: Special Issue on Algorithms and Systems on Big Graph Processing.
Int. J. Parallel Program., 2019

Advances in cloud and big data computing.
Concurr. Comput. Pract. Exp., 2019

To Return or to Explore: Modelling Human Mobility and Dynamics in Cyberspace.
Proceedings of the World Wide Web Conference, 2019

Roll of Unified Graph Analysis Platforms.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Robust Embedded Deep K-means Clustering.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Local Partition in Rich Graphs.
CoRR, 2018

AURORA: Auditing PageRank on Large Graphs.
CoRR, 2018

Scalable Spectral Clustering Using Random Binning Features.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

C-Graph: A Highly Efficient Concurrent Graph Reachability Query Framework.
Proceedings of the 47th International Conference on Parallel Processing, 2018

X-Rank: Explainable Ranking in Complex Multi-Layered Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

AURORA: Auditing PageRank on Large Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Local Partition in Rich Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Exploring big graph computing - An empirical study from architectural perspective.
J. Parallel Distributed Comput., 2017

Finding Top K Shortest Simple Paths with Improved Space Efficiency.
Proceedings of the Fifth International Workshop on Graph Data-management Experiences & Systems, 2017

Rapid Analysis of Network Connectivity.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms.
Proc. VLDB Endow., 2016

Uncovering insider threats from the digital footprints of individuals.
IBM J. Res. Dev., 2016

ParLearning Introduction and Committees.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

An edge-set based large scale graph processing system.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

An analysis of student behavior in two massive open online courses.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
SparkBench - A Spark Performance Testing Suite.
Proceedings of the Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things, 2015

GraphBIG: understanding graph computing in the context of industrial solutions.
Proceedings of the International Conference for High Performance Computing, 2015

Efficient Multi-training Framework of Image Deep Learning on GPU Cluster.
Proceedings of the 2015 IEEE International Symposium on Multimedia, 2015

Towards Balance-Affinity Tradeoff in Concurrent Subgraph Traversals.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

ParLearning Introduction and Committees.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

IBM system G Social Media Solution: Analyze multimedia content, people, and network dynamics in context.
Proceedings of the 2015 IEEE International Conference on Multimedia & Expo Workshops, 2015

Reconfigurable filter bank design via principal component analysis and low rank approximation.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Prototyping A Web-based High-Performance Visual Analytics Platform for Origin-Destination Data: A Case study of NYC Taxi Trip Records.
Proceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, 2015

Accelerating Minimum Spanning Forest Computations on Multicore Platforms.
Proceedings of the Euro-Par 2015: Parallel Processing Workshops, 2015

2014
Data Parallel Implementation of Belief Propagation in Factor Graphs on Multi-core Platforms.
Int. J. Parallel Program., 2014

A Highly Efficient Runtime and Graph Library for Large-Scale Graph Analytics.
Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014

ParLearning Introduction and Committees.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Wait-Free Primitives for Initializing Bayesian Network Structure Learning on Multicore Processors.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Concurrent image query using local random walk with restart on large scale graphs.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Cache-conscious graph collaborative filtering on multi-socket multicore systems.
Proceedings of the Computing Frontiers Conference, CF'14, 2014

Graph analytics and storage.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
PDSEC Introduction.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

ParLearning Introduction.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
Distributed Evidence Propagation in Junction Trees on Clusters.
IEEE Trans. Parallel Distributed Syst., 2012

Fast Graph Construction Using Auction Algorithm.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Parallel Exact Inference on Multicore Using MapReduce.
Proceedings of the IEEE 24th International Symposium on Computer Architecture and High Performance Computing, 2012

Task Parallel Implementation of Belief Propagation in Factor Graphs.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011
Parallel evidence propagation on multicore processors.
J. Supercomput., 2011

Data Parallelism for Belief Propagation in Factor Graphs.
Proceedings of the 23rd International Symposium on Computer Architecture and High Performance Computing, 2011

Self-Adaptive Evidence Propagation on Manycore Processors.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Exploring Weak Dependencies in DAG Scheduling.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

2010
Scalable Node-Level Computation Kernels for Parallel Exact Inference.
IEEE Trans. Computers, 2010

Parallel exact inference on the Cell Broadband Engine processor.
J. Parallel Distributed Comput., 2010

Distributed Evidence Propagation in Junction Trees.
Proceedings of the 22st International Symposium on Computer Architecture and High Performance Computing, 2010

Hierarchical Scheduling of DAG Structured Computations on Manycore Processors with Dynamic Thread Grouping.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2010

Parallel Exact Inference on a CPU-GPGPU Heterogenous System.
Proceedings of the 39th International Conference on Parallel Processing, 2010

A message-passing multi-softcore architecture on FPGA for Breadth-first Search.
Proceedings of the International Conference on Field-Programmable Technology, 2010

Collaborative scheduling of DAG structured computations on multicore processors.
Proceedings of the 7th Conference on Computing Frontiers, 2010

2009
Parallel Evidence Propagation on Multicore Processors.
Proceedings of the Parallel Computing Technologies, 10th International Conference, 2009

2008
Junction tree decomposition for parallel exact inference.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007
Node Level Primitives for Parallel Exact Inference.
Proceedings of the 19th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2007), 2007

Parallel Exact Inference.
Proceedings of the Parallel Computing: Architectures, 2007

2005
Importance Feature Sampling in Random Subspace.
Proceedings of The 2005 International Conference on Computer Vision, 2005

Mixture Random Effect Model Based Meta-analysis for Medical Data Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Type II Topological Logic C<sup>1</sup><sub>T</sub> and Approximate Reasoning.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Fault-Tolerant EM Algorithm for GMM in Sensor Networks.
Proceedings of The 2005 International Conference on Data Mining, 2005


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