Yue Hu

Orcid: 0000-0002-8115-7020

According to our database1, Yue Hu authored at least 35 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
M2IST: Multi-Modal Interactive Side-Tuning for Efficient Referring Expression Comprehension.
IEEE Trans. Circuits Syst. Video Technol., February, 2026

CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban Environments.
CoRR, January, 2026

GeoNav: Empowering MLLMs with dual-scale geospatial reasoning for language-goal aerial navigation.
Pattern Recognit., 2026

Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models.
CoRR, October, 2025

Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology.
CoRR, May, 2025

GeoNav: Empowering MLLMs with Explicit Geospatial Reasoning Abilities for Language-Goal Aerial Navigation.
CoRR, April, 2025

SwimVG: Step-Wise Multimodal Fusion and Adaption for Visual Grounding.
IEEE Trans. Multim., 2025

CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

MalPatch: Evading DNN-Based Malware Detection With Adversarial Patches.
IEEE Trans. Inf. Forensics Secur., 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

Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model.
CoRR, 2024

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

ACT: Action-assoCiated and Target-Related Representations for Object Navigation.
Proceedings of the MultiMedia Modeling - 30th International Conference, 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

2023
Towards robust CNN-based malware classifiers using adversarial examples generated based on two saliency similarities.
Neural Comput. Appl., August, 2023

AMGmal: Adaptive mask-guided adversarial attack against malware detection with minimal perturbation.
Comput. Secur., April, 2023

Modeling and Simulation of Cooperative Exploration Strategies in Unknown Environments.
Complex Syst. Model. Simul., 2023

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

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

PSP-Mal: Evading Malware Detection via Prioritized Experience-based Reinforcement Learning with Shapley Prior.
Proceedings of the Annual Computer Security Applications Conference, 2023

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

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

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

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


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