Yanlin Zhou

Orcid: 0009-0003-9571-5307

According to our database1, Yanlin Zhou authored at least 39 papers between 2017 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Automatic title completion for Stack Overflow posts and GitHub issues.
Empir. Softw. Eng., September, 2024

Mode standardization: A practical countermeasure against mode collapse of GAN-based signal synthesis.
Appl. Soft Comput., January, 2024

RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models.
CoRR, 2024

Team Coordination on Graphs: Problem, Analysis, and Algorithms.
CoRR, 2024

Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization.
CoRR, 2024

A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration.
CoRR, 2024

Construction and application of artificial intelligence crowdsourcing map based on multi-track GPS data.
CoRR, 2024

CM-ASAP: Cross-Modality Adaptive Sensing and Perception for Efficient Hand Gesture Recognition.
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

A Data-Driven Model with Hysteresis Compensation for I<sup>2</sup>RIS Robot.
Proceedings of the International Symposium on Medical Robotics, 2024

Application of K-means clustering based on artificial intelligence in gene statistics of biological information engineering.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

2023
Generative adversarial network to alleviate information insufficiency in intelligent fault diagnosis by generating continuations of signals.
Appl. Soft Comput., November, 2023

Reusing Delivery Drones for Urban Crowdsensing.
IEEE Trans. Mob. Comput., May, 2023

Communication-Efficient and Attack-Resistant Federated Edge Learning With Dataset Distillation.
IEEE Trans. Cloud Comput., 2023

A Data-Driven Model with Hysteresis Compensation for I2RIS Robot.
CoRR, 2023

Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

QTC4SO: Automatic Question Title Completion for Stack Overflow.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

2022
CCGIR: Information retrieval-based code comment generation method for smart contracts.
Knowl. Based Syst., 2022

DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning.
Proceedings of the IEEE International Conference on Software Analysis, 2022

EL-CodeBert: Better Exploiting CodeBert to Support Source Code-Related Classification Tasks.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

A Comparative Approach to Resurrecting the Market of MOD Vehicular Crowdsensing.
Proceedings of the IEEE INFOCOM 2022, 2022

Towards the Design of Efficient TCN-bascd Prefetcher for Hybrid NVM-DRAM Memory.
Proceedings of the International Joint Conference on Neural Networks, 2022

BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2021
Unsupervised Learning of Depth and Camera Pose with Feature Map Warping.
Sensors, 2021

DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa.
CoRR, 2021

Server Averaging for Federated Learning.
CoRR, 2021

DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa (S).
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2020
Accurate landslide detection leveraging UAV-based aerial remote sensing.
IET Commun., 2020

Distilled One-Shot Federated Learning.
CoRR, 2020

Asking Complex Questions with Multi-hop Answer-focused Reasoning.
CoRR, 2020

Spatiotemporal Guided Self-Supervised Depth Completion from LiDAR and Monocular Camera.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Distributed fault diagnosis of networked dynamical systems with time-varying topology.
J. Frankl. Inst., 2019

Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring.
CoRR, 2019

Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning.
CoRR, 2019

Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Developing A Dynamic Queueing Model for The Airport Check-in Process.
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018

A Spiking Neural Dynamical Drift-Diffusion Model on Collective Decision Making with Self-Organized Criticality.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Distributed fault diagnosis with shared-basis and B-splines-based matched learning.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017


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