Xuesong Lu

Orcid: 0000-0003-4873-7282

According to our database1, Xuesong Lu authored at least 69 papers between 2004 and 2024.

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Bibliography

2024
SSCFormer: Revisiting ConvNet-Transformer Hybrid Framework From Scale-Wise and Spatial-Channel-Aware Perspectives for Volumetric Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, August, 2024

Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends.
CoRR, 2024

Code Summarization with Project-Specific Features.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Job Title Prediction as a Dual Task of Expertise Prediction in Open Source Software.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

iiPCS: Intent-Based In-Context Learning for Project-Specific Code Summarization.
Proceedings of the International Joint Conference on Neural Networks, 2024

DeepMRA: An Efficient Microservices Resource Allocation Framework with Deep Reinforcement Learning in the Cloud.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Two Issues with Chinese Spelling Correction and A Refinement Solution.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Instruction Tuning with LLMs for Programming Exercise Generation.
Proceedings of the Web Information Systems and Applications, 2024

2023
Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentation.
Comput. Biol. Medicine, September, 2023

ATFormer: Advanced transformer for medical image segmentation.
Biomed. Signal Process. Control., August, 2023

A Lattice-Reduction-Aided Sphere Decoder for Underwater Acoustic FBMC/OQAM Communications.
IEEE Wirel. Commun. Lett., March, 2023

Effective connectivity analysis of brain networks of mathematically gifted adolescents using transfer entropy.
J. Intell. Fuzzy Syst., 2023

ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Adaptive Modulation and Coding for Underwater Acoustic Communication Based on Neural Networks.
Proceedings of the IEEE International Conference on Signal Processing, 2023

An Intelligent Scheduling System for Large-Scale Online Judging.
Proceedings of the Computer Science and Education. Computer Science and Technology, 2023

FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Iterative Convolutional Encoder-Decoder Network with Multi-Scale Context Learning for Liver Segmentation.
Appl. Artif. Intell., December, 2022

DeepLRA: An Efficient Long Running Application Scheduling Framework with Deep Reinforcement Learning in the Cloud.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Automatic Grading of Student Code with Similarity Measurement.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Enhancing Programming Knowledge Tracing by Interacting Programming Skills and Student Code.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

GypSum: learning hybrid representations for code summarization.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Programming Knowledge Tracing: A Comprehensive Dataset and A New Model.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Deep Knowledge Tracing with Learning Curves.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

MLadder: An Online Training System for Machine Learning and Data Science Education.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
A Comparison of Code Embeddings and Beyond.
CoRR, 2021

Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021

2020
Deep Knowledge Tracing with Convolutions.
CoRR, 2020

Discovering Traveling Companions using Autoencoders.
CoRR, 2020

Directed Connectivity Analysis of the Brain Network in Mathematically Gifted Adolescents.
Comput. Intell. Neurosci., 2020

Classifying action intention understanding EEG signals based on weighted brain network metric features.
Biomed. Signal Process. Control., 2020

A modified graph cuts image segmentation algorithm with adaptive shape constraints and its application to computed tomography images.
Biomed. Signal Process. Control., 2020

Multi-channel Image Registration of Cardiac MR Using Supervised Feature Learning with Convolutional Encoder-Decoder Network.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Humming-Query and Reinforcement-Learning based Modeling Approach for Personalized Music Recommendation.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

PIPE: Predicting Logical Programming Errors in Programming Exercises.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

An Intelligent Online Judge System for Programming Training.
Proceedings of the Database Systems for Advanced Applications, 2020

InterNet: Multistep Traffic Forecasting by Interacting Spatial and Temporal Features.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Sparse channel estimation for filtered multi-tone in time domain and subband domain based on matched filtering demodulation.
IET Commun., 2019

Nonrigid registration of cardiac DSCT images by integrating intensity and point features.
Biomed. Signal Process. Control., 2019

Feature-Based Deformable Registration Using Minimal Spanning Tree for Prostate MR Segmentation.
IEEE Access, 2019

Graph cut segmentation of the right ventricle in cardiac MRI using multi-scale feature learning.
Proceedings of the 3rd International Conference on Cryptography, Security and Privacy, 2019

2018
Shopping or Dining? Analyzing User Behavior to Flight Delay.
Proceedings of the International Conference on Information Systems, 2018

The Impact of Peer Influence on Academic Performance: A Three-Stage Co-Evolution Model.
Proceedings of the International Conference on Information Systems, 2018

2017
Impacts of Anxiety in Building Fire and Smoke Evacuation: Modeling and Validation.
IEEE Robotics Autom. Lett., 2017

Robust maximum signal fraction analysis for blind source separation.
IET Signal Process., 2017

Optimizing guidance for an active shooter event.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

"A Paypal for the Un-Banked": Analyzing Mobile-Based Micro-Cash Transfers in a Large Developing Economy.
Proceedings of the International Conference on Information Systems, 2017

2016
A junction-by-junction feedback-based strategy with convergence analysis for dynamic traffic assignment.
Sci. China Inf. Sci., 2016

Robust common spatial patterns with sparsity.
Biomed. Signal Process. Control., 2016

2015
Reliability of Data Collection Methods in Social Media Research.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

2014
Fisher Discriminant Analysis With L1-Norm.
IEEE Trans. Cybern., 2014

2013
An effective and efficient parallel approach for random graph generation over GPUs.
J. Parallel Distributed Comput., 2013

On the Privacy and Utility of Anonymized Social Networks.
Int. J. Adapt. Resilient Auton. Syst., 2013

Free-form deformation based non-rigid registration on breast cancer MR imaging.
Proceedings of the Fifth International Conference on Digital Image Processing, 2013

Incremental Algorithms for Sampling Dynamic Graphs.
Proceedings of the Database and Expert Systems Applications, 2013

2012
The configuration of networked publics on the web: evidence from the Greek Indignados movement.
Proceedings of the Web Science 2012, 2012

Sampling Connected Induced Subgraphs Uniformly at Random.
Proceedings of the Scientific and Statistical Database Management, 2012

Fast Identity Anonymization on Graphs.
Proceedings of the Database and Expert Systems Applications, 2012

2011
Fast random graph generation.
Proceedings of the EDBT 2011, 2011

Generating Random Graphic Sequences.
Proceedings of the Database Systems for Advanced Applications, 2011

2010
SIFT and shape information incorporated into fluid model for non-rigid registration of ultrasound images.
Comput. Methods Programs Biomed., 2010

A Simple, Yet Effective and Efficient, Sliding Window Sampling Algorithm.
Proceedings of the Database Systems for Advanced Applications, 2010

2008
Mutual information-based multimodal image registration using a novel joint histogram estimation.
Comput. Medical Imaging Graph., 2008

Viscous fluid model-based non-rigid registration incorporating scale space keypoints.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

Integrated shape corresponding information by landmark sliding for non-rigid registration between CT and ultrasound images.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

2006
Significance of Gene Ranking for Classification of Microarray Samples.
IEEE ACM Trans. Comput. Biol. Bioinform., 2006

2004
A simple strategy for detecting outlier samples in microarray data.
Proceedings of the 8th International Conference on Control, 2004


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