Xiao Yan

Orcid: 0000-0002-2122-915X

Affiliations:
  • Southern University of Science and Technology, Department of Computer Science and Engineering, China
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
  • Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications, Beijing, China


According to our database1, Xiao Yan authored at least 89 papers between 2013 and 2024.

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Bibliography

2024
$\mathsf {CheetahTraj}$CheetahTraj: Efficient Visualization for Large Trajectory Dataset With Quality Guarantee.
IEEE Trans. Knowl. Data Eng., November, 2024

Face super resolution with a high frequency highway.
IET Image Process., October, 2024

Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching.
Proc. ACM Manag. Data, September, 2024

Extracting Top- Frequent and Diversified Patterns in Knowledge Graphs.
IEEE Trans. Knowl. Data Eng., February, 2024

QEVIS: Multi-Grained Visualization of Distributed Query Execution.
IEEE Trans. Vis. Comput. Graph., January, 2024

PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters.
Parallel Comput., 2024

GE<sup>2</sup>: A General and Efficient Knowledge Graph Embedding Learning System.
Proc. ACM Manag. Data, 2024

Retrofitting Temporal Graph Neural Networks with Transformer.
CoRR, 2024

Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph.
CoRR, 2024

DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training.
CoRR, 2024

Debiasing Recommendation with Personal Popularity.
Proceedings of the ACM on Web Conference 2024, 2024

Self-Supervised Learning for Graph Dataset Condensation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

QSRP: Efficient Reverse k-Ranks Query Processing on High-Dimensional Embeddings.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

VFDV-IM: An Efficient and Securely Vertical Federated Data Valuation.
Proceedings of the Database Systems for Advanced Applications, 2024

TreeCSS: An Efficient Framework for Vertical Federated Learning.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation.
Proc. ACM Manag. Data, 2023

FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication.
Proc. ACM Manag. Data, 2023

Effective and Efficient PageRank-based Positioning for Graph Visualization.
Proc. ACM Manag. Data, 2023

Cascaded face super-resolution with shape and identity priors.
IET Image Process., 2023

SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification.
CoRR, 2023

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.
CoRR, 2023

MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.
CoRR, 2023

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning.
Proceedings of the 29th Symposium on Operating Systems Principles, 2023

DSP: Efficient GNN Training with Multiple GPUs.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

DGI: An Easy and Efficient Framework for GNN Model Evaluation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Analyzing and Combating Attribute Bias for Face Restoration.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-domain Recommendation with Embedding Disentangling and Domain Alignment.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Elastic Deep Learning in Multi-Tenant GPU Clusters.
IEEE Trans. Parallel Distributed Syst., 2022

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism.
IEEE Trans. Parallel Distributed Syst., 2022

Manu: A Cloud Native Vector Database Management System.
Proc. VLDB Endow., 2022

Combating spatial redundancy with spectral norm attention in convolutional learners.
Neurocomputing, 2022

DGI: Easy and Efficient Inference for GNNs.
CoRR, 2022

T-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

CheetahKG: A Demonstration for Core-based Top-$k$ Frequent Pattern Discovery on Knowledge Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Face2Exp: Combating Data Biases for Facial Expression Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Automatic Meta-Path Discovery for Effective Graph-Based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Timestamped State Sharing for Stream Analytics.
IEEE Trans. Parallel Distributed Syst., 2021

Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval.
IEEE J. Biomed. Health Informatics, 2021

PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank.
CoRR, 2021

Vertex-Centric Visual Programming for Graph Neural Networks.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

GAIPS: Accelerating Maximum Inner Product Search with GPU.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs.
Proceedings of the International Joint Conference on Neural Networks, 2021

Fast Core-based Top-k Frequent Pattern Discovery in Knowledge Graphs.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Towards Efficient MaxBRNN Computation for Streaming Updates.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DGCL: an efficient communication library for distributed GNN training.
Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

2020
The item selection problem for user cold-start recommendation.
CoRR, 2020

Hierarchical Graph Matching Network for Graph Similarity Computation.
CoRR, 2020

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs.
CoRR, 2020

Edit Distance Embedding using Convolutional Neural Networks.
CoRR, 2020

Wasserstein Collaborative Filtering for Item Cold-start Recommendation.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Convolutional Embedding for Edit Distance.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

PMD: An Optimal Transportation-Based User Distance for Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2020

Understanding and Improving Proximity Graph Based Maximum Inner Product Search.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning.
CoRR, 2019

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
CoRR, 2019

Elastic deep learning in multi-tenant GPU cluster.
CoRR, 2019

Pyramid: A General Framework for Distributed Similarity Search.
CoRR, 2019

Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Grasper: A High Performance Distributed System for OLAP on Property Graphs.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
FlexPS: Flexible Parallelism Control in Parameter Server Architecture.
Proc. VLDB Endow., 2018

Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS).
CoRR, 2018

A General and Efficient Querying Method for Learning to Hash.
Proceedings of the 2018 International Conference on Management of Data, 2018

Norm-Ranging LSH for Maximum Inner Product Search.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

G-Miner: an efficient task-oriented graph mining system.
Proceedings of the Thirteenth EuroSys Conference, 2018

2017
LoSHa: A General Framework for Scalable Locality Sensitive Hashing.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2015
Interference-constrained access opportunity distribution for secondary communication in TV white space.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

A game-theoretic approach for bandwidth allocation and pricing in heterogeneous wireless networks.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

2014
A novel spectrum sensing scheme based on phase difference.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Scaling Law of Multi-Hop Cognitive Network with a Novel Hybrid Access Scheme.
Proceedings of the IEEE 80th Vehicular Technology Conference, 2014

Improved Energy Detector for Full Duplex Sensing.
Proceedings of the IEEE 80th Vehicular Technology Conference, 2014

Characterizing and Exploiting Temporal-Spatial Radio Resource Margins in Cellular Networks.
Proceedings of the IEEE 80th Vehicular Technology Conference, 2014

Low Complexity Linear Precoding Scheme for Interference Management in Femtocell Networks.
Proceedings of the IEEE 80th Vehicular Technology Conference, 2014

Coexistence Analysis between IMT-Advanced System and Fixed Satellite Service System.
Proceedings of the 2014 IEEE Military Communications Conference, 2014

TV Band Radio Environment Mapping in Beijing.
Proceedings of the 2014 IEEE Military Communications Conference, 2014

Fast Spectrum Sensing: A Combination of Channel Correlation and Markov Model.
Proceedings of the 2014 IEEE Military Communications Conference, 2014

A Novel Collision Avoidance Algorithm for IEEE 802.11 Wireless LANs.
Proceedings of the 2014 IEEE Military Communications Conference, 2014

A signaling load and radio resource utilization balancing scheme for 3G cellular networks.
Proceedings of the 21st International Conference on Telecommunications, 2014

A tractable approach to coexistence analysis between COMPASS and TD-LTE system.
Proceedings of the 21st International Conference on Telecommunications, 2014

Spectrum survey for TV band in Beijing.
Proceedings of the 21st International Conference on Telecommunications, 2014

Match-Degree based bandwidth allocation scheme in heterogeneous networks.
Proceedings of the IEEE International Conference on Communications, 2014

Channel classification based fast spectrum sensing.
Proceedings of the IEEE International Conference on Communications, 2014

2013
Channel Correlation Assisted Fast Spectrum Sensing.
Proceedings of the 78th IEEE Vehicular Technology Conference, 2013

A feature detector based on compressed sensing and wavelet transform for wideband cognitive radio.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013

Efficient traffic allocation scheme for multi-flow distribution in heterogeneous networks.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013


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