Bowen Xu

Orcid: 0009-0004-4325-4876

According to our database1, Bowen Xu authored at least 135 papers between 2004 and 2025.

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Bibliography

2025
PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models.
Empir. Softw. Eng., February, 2025

2024
A Practical Predefined-Time Stability Criterion and Its Application to Uncertain Nonlinear Systems.
J. Syst. Sci. Complex., December, 2024

Leveraging Large Language Model for Automatic Patch Correctness Assessment.
IEEE Trans. Software Eng., November, 2024

An empirical study on the effectiveness of large language models for SATD identification and classification.
Empir. Softw. Eng., November, 2024

SEA4DQ 2024 Workshop Summary.
ACM SIGSOFT Softw. Eng. Notes, October, 2024

Research on Miniaturized UHF Sensing Technology for PD Detection in Power Equipment Based on Symmetric Cut Theory.
Sensors, June, 2024

Stealthy Backdoor Attack for Code Models.
IEEE Trans. Software Eng., April, 2024

Representation Learning for Stack Overflow Posts: How Far Are We?
ACM Trans. Softw. Eng. Methodol., March, 2024

A Probabilistic Fuzzy Classifier for Motion Intent Recognition.
IEEE Trans. Fuzzy Syst., March, 2024

Dual-Stage Heterogeneous Multiagent Systems Surrounding Control for a Motional Target.
IEEE Trans. Control. Netw. Syst., March, 2024

Adaptive convolutional dictionary learning for denoising seismocardiogram to enhance the classification performance of aortic stenosis.
Comput. Biol. Medicine, January, 2024

Efficient Rural Building Segmentation via a Multilevel Decoding Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Rules-reduced fuzzy neural network-based learning control for multiple constraints robots using online identification and compensation methods.
Inf. Sci., 2024

Multiple dynamic targets enclosing control for a class of nonlinear uncertain multiagent systems.
Inf. Sci., 2024

Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs.
CoRR, 2024

LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems.
CoRR, 2024

Collecting Larg-Scale Robotic Datasets on a High-Speed Mobile Platform.
CoRR, 2024

High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition Datasets.
CoRR, 2024

Benchmarking SLAM Algorithms in the Cloud: The SLAM Hive System.
CoRR, 2024

AI Tool Use and Adoption in Software Development by Individuals and Organizations: A Grounded Theory Study.
CoRR, 2024

ShanghaiTech Mapping Robot is All You Need: Robot System for Collecting Universal Ground Vehicle Datasets.
CoRR, 2024

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy.
CoRR, 2024

Mixture-of-Instructions: Comprehensive Alignment of a Large Language Model through the Mixture of Diverse System Prompting Instructions.
CoRR, 2024

What is Meant by AGI? On the Definition of Artificial General Intelligence.
CoRR, 2024

Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair.
CoRR, 2024

Modeling and Optimization for Submersible Pump Tubular Linear Motor Based on Dynamic Load Analysis.
IEEE Access, 2024

Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Greening Large Language Models of Code.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society, 2024

Curiosity-Driven Testing for Sequential Decision-Making Process.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Deep Reinforcement Learning for Smart Restarts in Exploration-Only Exploitation-Only Hybrid Metaheuristics.
Proceedings of the Metaheuristics - 15th International Conference, 2024

A Case Study of LLM for Automated Vulnerability Repair: Assessing Impact of Reasoning and Patch Validation Feedback.
Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

Causal Inference in NARS.
Proceedings of the Artificial General Intelligence - 17th International Conference, 2024

Patched Line Segment Learning for Vector Road Mapping.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-Granularity Detector for Vulnerability Fixes.
IEEE Trans. Software Eng., August, 2023

Duplicate Bug Report Detection: How Far Are We?
ACM Trans. Softw. Eng. Methodol., July, 2023

Event-Triggered Surrounding Formation Control of Multiagent Systems for Multiple Dynamic Targets.
IEEE Trans. Control. Netw. Syst., June, 2023

Numerical spiking neural P systems with weights.
J. Membr. Comput., March, 2023

Spiking neural P systems with polarizations and astrocytes.
J. Membr. Comput., March, 2023

MaLTeSQuE 2022 Workshop Summary.
ACM SIGSOFT Softw. Eng. Notes, January, 2023

Estimating the Depth of Anesthesia from EEG Signals Based on a Deep Residual Shrinkage Network.
Sensors, January, 2023

Adaptive Learning-Based Distributed Control of Cooperative Robot Arm Manipulation for Unknown Objects.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Accelerated and Adaptive Power Scheduling for More Electric Aircraft Via Hybrid Learning.
IEEE Trans. Ind. Electron., 2023

Numerical spiking neural P systems with production functions on synapses.
Theor. Comput. Sci., 2023

Intensity Equalization of Bidirectional Fiber Laser Based on a Non-Reciprocal Optical Attenuator.
Sensors, 2023

Everyone-Centric Heterogeneous Multi-Server Computation Offloading in ITS with Pervasive AI.
IEEE Netw., 2023

Computation Offloading Method for Large-Scale Factory Access in Edge-Edge Collaboration Mode.
J. Database Manag., 2023

Automated DevOps Pipeline Generation for Code Repositories using Large Language Models.
CoRR, 2023

APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation.
CoRR, 2023

Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code.
CoRR, 2023

Inclusiveness Matters: A Large-Scale Analysis of User Feedback.
CoRR, 2023

Towards Smaller, Faster, and Greener Language Models of Code.
CoRR, 2023

A Model of Sequential Learning based on Non-Axiomatic Logic.
CoRR, 2023

Simulation of Non-inductive Vector Control of Permanent Magnet Synchronous Motor Based on Sliding Mode Observer.
CoRR, 2023

Proxy-based Super Twisting Control Algorithm for Aerial Manipulators.
CoRR, 2023

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques.
CoRR, 2023

Minimal-time Deadbeat Consensus and Individual Disagreement Degree Prediction for High-order Linear Multi-agent Systems.
CoRR, 2023

Generation-based Code Review Automation: How Far Are We?
CoRR, 2023

PatchZero: Zero-Shot Automatic Patch Correctness Assessment.
CoRR, 2023

Efficient Teacher: Semi-Supervised Object Detection for YOLOv5.
CoRR, 2023

Prioritizing Speech Test Cases.
CoRR, 2023

Bidirectional Single Longitudinal Mode Er-Doped Fiber Ring Laser Using a Bandpass Filter and Cascaded Fiber Ring Filter.
IEEE Access, 2023

The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Are We Ready to Embrace Generative AI for Software Q&A?
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Generation-based Code Review Automation: How Far Are Weƒ.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Intelligent Small-Scale Surface Cleaning Boat Based on the YOLOv5 Algorithm.
Proceedings of the 5th International Conference on Internet of Things, 2023

CCBERT: Self-Supervised Code Change Representation Learning.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code.
Proceedings of the IEEE/ACM International Workshop on Interpretability and Robustness in Neural Software Engineering, 2023

A lightweight network face detection based on YOLOv5.
Proceedings of the 6th International Conference on Robot Systems and Applications, 2023

The SLAM Hive Benchmarking Suite.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Research progress and prospects on intelligent control methods for hypersonic flight vehicles.
Proceedings of the 4th International Conference on Computer Engineering and Intelligent Control, 2023

JWTKey: Automatic Cryptographic Vulnerability Detection in JWT Applications.
Proceedings of the Computer Security - ESORICS 2023, 2023

2022
Moving Target Surrounding Control of Linear Multiagent Systems With Input Saturation.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Post2Vec: Learning Distributed Representations of Stack Overflow Posts.
IEEE Trans. Software Eng., 2022

Training Deep Neural Network for Optimal Power Allocation in Islanded Microgrid Systems: A Distributed Learning-Based Approach.
IEEE Trans. Neural Networks Learn. Syst., 2022

E$^2$ DNet: An Ensembling Deep Neural Network for Solving Nonconvex Economic Dispatch in Smart Grid.
IEEE Trans. Ind. Informatics, 2022

State of Charge Estimation of Lithium-Ion Battery Using Robust Kernel Fuzzy Model and Multi-Innovation UKF Algorithm Under Noise.
IEEE Trans. Ind. Electron., 2022

Smartphone-Based Social Distance Detection Technology with Near-Ultrasonic Signal.
Sensors, 2022

High-Precision Joint Magnetization Vector Inversion Method of Airborne Magnetic and Gradient Data with Structure and Data Double Constraints.
Remote. Sens., 2022

Asynchronous numerical spiking neural P systems.
Inf. Sci., 2022

CUDA-based parallelization of time-weighted dynamic time warping algorithm for time series analysis of remote sensing data.
Comput. Geosci., 2022

Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets.
CoRR, 2022

Accurate Polygonal Mapping of Buildings in Satellite Imagery.
CoRR, 2022

Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?
Proceedings of the IEEE International Conference on Software Analysis, 2022

Can Identifier Splitting Improve Open-Vocabulary Language Model of Code?
Proceedings of the IEEE International Conference on Software Analysis, 2022

How to better utilize code graphs in semantic code search?
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Answer Summarization for Technical Queries: Benchmark and New Approach.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Compressing Pre-trained Models of Code into 3 MB.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Selective Scale Cascade Attention Network for Breast Cancer Histopathology Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Artificial Open World for Evaluating AGI: A Conceptual Design.
Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

Curiosity-Driven and Victim-Aware Adversarial Policies.
Proceedings of the Annual Computer Security Applications Conference, 2022

2021
Distributed Successive Convex Approximation for Nonconvex Economic Dispatch in Smart Grid.
IEEE Trans. Ind. Informatics, 2021

An Alternative Learning-Based Approach for Economic Dispatch in Smart Grid.
IEEE Internet Things J., 2021

Trade-Offs in Reliability, Latency, and Energy for Random Network Coding-Enabled Networks.
IEEE Commun. Lett., 2021

Stealthy False Data Injection Attack Detection in Smart Grids with Uncertainties: A Deep Transfer Learning Based Approach.
CoRR, 2021

4D Attention-based Neural Network for EEG Emotion Recognition.
CoRR, 2021

The Gap Between Intelligence and Mind.
Proceedings of the Artificial General Intelligence - 14th International Conference, 2021

2020
Why reinventing the wheels? An empirical study on library reuse and re-implementation.
Empir. Softw. Eng., 2020

An Online Adaptive Control Strategy for Trajectory Tracking of Quadrotors Based on Fuzzy Approximation and Robust Sliding Mode Algorithm.
IEEE Access, 2020

Classification of Breast Cancer Histopathological Images Using Discriminative Patches Screened by Generative Adversarial Networks.
IEEE Access, 2020

Monitoring Method on Loosened State and Deformational Fault of Transformer Winding Based on Vibration and Reactance Information.
IEEE Access, 2020

An Improved K-Means Clustering Algorithm Based on Density Selection.
Proceedings of the 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020

Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go?
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Reversible Spiking Neural P Systems with Anti-spikes.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020

Maximal Information Complemented Refinement Network for Gland Instance Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

On the Verification of Signed Messages.
Proceedings of the Applied Cryptography and Network Security Workshops, 2020

2019
Ques-Chain: an Ethereum Based E-Voting System.
CoRR, 2019

Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models.
CoRR, 2019

AnswerBot: an answer summary generation tool based on stack overflow.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

DeepReview: Automatic Code Review Using Deep Multi-instance Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Duplicate Pull Request Detection: When Time Matters.
Proceedings of the Internetware '19: The 11th Asia-Pacific Symposium on Internetware, 2019

Adaptive Locomotion Generation for a Bionic Hexapod Robot.
Proceedings of the IECON 2019, 2019

Three Mechanisms of Weight Decay Regularization.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Stochastic Consensus Control of Second-Order Nonlinear Multiagent Systems With External Disturbances.
IEEE Trans. Control. Netw. Syst., 2018

Domain-specific cross-language relevant question retrieval.
Empir. Softw. Eng., 2018

Stochastic Gradient Langevin dynamics that Exploit Neural Network Structure.
Proceedings of the 6th International Conference on Learning Representations, 2018

Semi-global Leaderless Consensus of Circular Motion with Input Saturation.
Proceedings of the Intelligent Robotics and Applications - 11th International Conference, 2018

Prediction of relatedness in stack overflow: deep learning vs. SVM: a reproducibility study.
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

2017
Efficient Memristor Model Implementation for Simulation and Application.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

XSearch: a domain-specific cross-language relevant question retrieval tool.
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

AnswerBot: automated generation of answer summary to developersź technical questions.
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Design of a bidirectional power converter for charging pile based on V2G.
Proceedings of the IEEE International Conference on Industrial Technology, 2017

On the feature detection of nonconforming objects with automated drone surveillance.
Proceedings of the 3rd International Conference on Communication and Information Processing, 2017

2016
Domain-specific cross-language relevant question retrieval.
Proceedings of the 13th International Conference on Mining Software Repositories, 2016

Predicting semantically linkable knowledge in developer online forums via convolutional neural network.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Learning a dual-language vector space for domain-specific cross-lingual question retrieval.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

2015
Finding edges of buildings via a junction process in high-resolution remotely sensed images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

MBITP: A Map Based Indoor Target Prediction in Smartphone.
Proceedings of the Intelligent Computation in Big Data Era, 2015

Combining Software Metrics and Text Features for Vulnerable File Prediction.
Proceedings of the 20th International Conference on Engineering of Complex Computer Systems, 2015

EFSPredictor: Predicting Configuration Bugs with Ensemble Feature Selection.
Proceedings of the 2015 Asia-Pacific Software Engineering Conference, 2015

2014
Parameter estimation of high-speed railway vehicle using improved Rao-Blackwellised Particle Filter.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2004
A Technological Parameter Optimization Approach in Crude Oil Distillation Process Based on Neural Network.
Proceedings of the Advances in Neural Networks, 2004

Adaptive optimal control of a class of uncertain nonlinear systems using fuzzy logic and neural networks.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004


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