Xiangyue Liu

Orcid: 0000-0002-2165-6434

According to our database1, Xiangyue Liu authored at least 21 papers between 2014 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

2022
KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS.
CoRR, 2022

Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives.
Proceedings of the Computer Vision - ECCV 2022, 2022

KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo.
Proceedings of the Computer Vision - ECCV 2022, 2022

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Progress on Hybrid EEG-fNIRs system and its application.
Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021

Structure Reconstruction Using Ray-Point-Ray Features: Representation and Camera Pose Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020
The diatomic molecular spectroscopy database.
J. Cheminformatics, 2020

2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020.
CoRR, 2020

2017
Clustering Classes in Packages for Program Comprehension.
Sci. Program., 2017

Using Hierarchical Latent Dirichlet Allocation to Construct Feature Tree for Program Comprehension.
Sci. Program., 2017

2016
Mining Software Repositories for Automatic Interface Recommendation.
Sci. Program., 2016

Code Comment Quality Analysis and Improvement Recommendation: An Automated Approach.
Int. J. Softw. Eng. Knowl. Eng., 2016

Exploring topic models in software engineering data analysis: A survey.
Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

2015
Using Feature-Interface Graph for Automatic Interface Recommendation: A Case Study.
Proceedings of the Third International Conference on Advanced Cloud and Big Data, 2015

2014
PFN: A novel program feature network for program comprehension.
Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014

Supporting program comprehension with program summarization.
Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014

Automatic generation of package diagram to understand Java packages.
Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014


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