Xiaoliang Xu

Orcid: 0000-0001-8040-6809

According to our database1, Xiaoliang Xu authored at least 38 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment.
Proc. ACM Manag. Data, February, 2024

Efficient and effective (k, P)-core-based community search over attributed heterogeneous information networks.
Inf. Sci., 2024

Scalable Community Search with Accuracy Guarantee on Attributed Graphs.
CoRR, 2024

Revolutionizing Education: Advanced Machine Learning Techniques for Precision Recommendation of Top-Quality Instructional Materials.
Int. J. Comput. Intell. Syst., December, 2023

Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (<i>k</i>, 𝒫)-Core based Embedding.
ACM Trans. Knowl. Discov. Data, July, 2023

MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality.
CoRR, 2023

Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model.
CoRR, 2023

Routing-Guided Learned Product Quantization for Graph-Based Approximate Nearest Neighbor Search.
CoRR, 2023

DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex.
CoRR, 2023

An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Effective and Efficient Community Search with Graph Embeddings.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

End-to-End Community Search based on Graph Transformer: A Demonstration.
Proceedings of the Eleventh International Conference on Advanced Cloud and Big Data, 2023

A random walk sampling on knowledge graphs for semantic-oriented statistical tasks.
Data Knowl. Eng., 2022

Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints.
CoRR, 2022

Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient and Effective Expert Finding based on Community Search: A Demonstration.
Proceedings of the Tenth International Conference on Advanced Cloud and Big Data, 2022

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search.
Proc. VLDB Endow., 2021

Two-stage routing with optimized guided search and greedy algorithm on proximity graph.
Knowl. Based Syst., 2021

Top-k star queries on knowledge graphs through semantic-aware bounding match scores.
Knowl. Based Syst., 2021

An Execution Cost Model for Aggregate Queries over Knowledge Graphs.
Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification.
Neural Comput., 2020

Multiattribute approximate nearest neighbor search based on navigable small world graph.
Concurr. Comput. Pract. Exp., 2020

Semantic locality-based approximate knowledge graph query.
Concurr. Comput. Pract. Exp., 2019

Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

SimG: A Semantic Based Graph Similarity Search Engine.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

Visual Pattern Recognition Using Enhanced Visual Features and PSD-Based Learning Rule.
IEEE Trans. Cogn. Dev. Syst., 2018

AQP++: a hybrid approximate query processing framework for generalized aggregation queries.
J. Comput. Sci., 2018

Spike-based encoding and learning of spectrum features for robust sound recognition.
Neurocomputing, 2018

Skew-aware online aggregation over joins through guided sampling.
Concurr. Comput. Pract. Exp., 2018

A Visual Recognition Model Based on Hierarchical Feature Extraction and Multi-layer SNN.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Support top irrelevant machine: learning similarity measures to maximize top precision for image retrieval.
Neural Comput. Appl., 2017

Logic-Partition Based Gaussian Sampling for Online Aggregation.
Proceedings of the Fifth International Conference on Advanced Cloud and Big Data, 2017

A hierarchical visual recognition model with precise-spike-driven synaptic plasticity.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Networked Strong Tracking Filters With Noise Correlations and Bits Quantization.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

Research on J2EE Teaching Based on Mainstream Open Source Frameworks.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

Improved Algorithm for Tate Pairing Computation.
Proceedings of The International Symposium on Electronic Commerce and Security, 2008