Quanjun Yin

Orcid: 0000-0002-1633-174X

According to our database1, Quanjun Yin authored at least 60 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
Multi-agent reinforcement learning for task offloading with hybrid decision space in multi-access edge computing.
Ad Hoc Networks, 2025

2024
Visual Grounding With Dual Knowledge Distillation.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Intelligent Trajectory Design and Charging Scheduling in Wireless Rechargeable Sensor Networks With Obstacles.
IEEE Trans. Mob. Comput., September, 2024

Vision-language navigation: a survey and taxonomy.
Neural Comput. Appl., 2024

Reinforcement learning from suboptimal demonstrations based on Reward Relabeling.
Expert Syst. Appl., 2024

Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration.
CoRR, 2024

OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement.
CoRR, 2024

M<sup>2</sup>IST: Multi-Modal Interactive Side-Tuning for Memory-efficient Referring Expression Comprehension.
CoRR, 2024

Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning and Inference.
CoRR, 2024

Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach.
CoRR, 2024

The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness.
CoRR, 2024

PANDA: Prompt-Based Context- and Indoor-Aware Pretraining for Vision and Language Navigation.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Enhancing Multimodal Sentiment Analysis via Learning from Large Language Model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DARA: Domain- and Relation-Aware Adapters Make Parameter-Efficient Tuning for Visual Grounding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation.
Proceedings of the IEEE International Conference on Acoustics, 2024

MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Asymmetrically Decentralized Federated Learning.
CoRR, 2023

Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation.
CoRR, 2023

DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning.
CoRR, 2023

Dynamic Multi-modal Prompting for Efficient Visual Grounding.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022
Efficient Flow-Based Scheduling for Geo-Distributed Simulation Tasks in Collaborative Edge and Cloud Environments.
IEEE Trans. Parallel Distributed Syst., 2022

Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory models.
Neural Comput. Appl., 2022

FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity.
Proceedings of the 51st International Conference on Parallel Processing, 2022

2021
Regarding Goal Bounding and Jump Point Search.
J. Artif. Intell. Res., 2021

A discrete PSO-based static load balancing algorithm for distributed simulations in a cloud environment.
Future Gener. Comput. Syst., 2021

How to Evaluate Your Dialogue Models: A Review of Approaches.
CoRR, 2021

Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction.
CoRR, 2021

Interpretable Goal Recognition for Path Planning with ART Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Towards Efficient Exploration in Unknown Spaces: A Novel Hierarchical Approach Based on Intrinsic Rewards.
Proceedings of the 6th International Conference on Automation, 2021

2020
Single Real Goal, Magnitude-Based Deceptive Path-Planning.
Entropy, 2020

Improving the Scalability of the Magnitude-Based Deceptive Path-Planning Using Subgoal Graphs.
Entropy, 2020

Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models.
CoRR, 2020

A Semi-Markov Decision Model With Inverse Reinforcement Learning for Recognizing the Destination of a Maneuvering Agent in Real Time Strategy Games.
IEEE Access, 2020

Memory network based Knowledge Driven Model for Response Generation in Dialog System.
Proceedings of the CIIS 2020: The 3rd International Conference on Computational Intelligence and Intelligent Systems, 2020

2019
A Decomposition Approach for Stochastic Shortest-Path Network Interdiction with Goal Threshold.
Symmetry, 2019

Navigation in Unknown Dynamic Environments Based on Deep Reinforcement Learning.
Sensors, 2019

Goal Identification Control Using an Information Entropy-Based Goal Uncertainty Metric.
Entropy, 2019

Sensor Control in Anti-Submarine Warfare - A Digital Twin and Random Finite Sets Based Approach.
Entropy, 2019

Online probabilistic goal recognition and its application in dynamic shortest-path local network interdiction.
Eng. Appl. Artif. Intell., 2019

Improving the Combination of JPS and Geometric Containers.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder.
CoRR, 2018

Shortest Path Network Interdiction With Goal Threshold.
IEEE Access, 2018

History-based single Belief State Generation for Partially Observable Real-Time Strategy Games.
Proceedings of the 2018 Winter Simulation Conference, 2018

Inverse Reinforcement Learning Based Human Behavior Modeling for Goal Recognition in Dynamic Local Network Interdiction.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning real-time search on c-space GVDs.
Frontiers Comput. Sci., 2017

Modeling CGFs behavior by an extended option based learning behavior trees.
Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017

Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Combining behavior trees with MAXQ learning to facilitate CGFs behavior modeling.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2016
An accurate interest matching algorithm based on prediction of the space-time intersection of regions for the distributed virtual environment.
Simul. Model. Pract. Theory, 2016

Towards an Integrated Learning Framework for Behavior Modeling of Adaptive CGFs.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

2015
Scheduling parallel jobs with tentative runs and consolidation in the cloud.
J. Syst. Softw., 2015

Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection.
Proceedings of the 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2015

2014
Multi-agent intention recognition using logical hidden semi-Markov models.
Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

A Path Planning Algorithm Based on Parallel Particle Swarm Optimization.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

2013
Eros: an approach for ensuring regulatory compliance of process outcomes.
Proceedings of the Sixth International Workshop on Requirements Engineering and Law, 2013

Dynamic Obstacle-Avoiding Path Planning for Robots Based on Modified Potential Field Method.
Proceedings of the Intelligent Computing Theories and Technology, 2013


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