Yue Hu

According to our database, Yue Hu authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology.

Yatai Ji, Zhengqiu Zhu, Yong Zhao, Beidan Liu, Chen Gao, Yihao Zhao, Sihang Qiu, Yue Hu, Quanjun Yin, Yong Li

CoRR, May, 2025

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

Haotian Xu, Yue Hu, Chen Gao, Zhengqiu Zhu, Yong Zhao, Yong Li, Quanjun Yin

CoRR, April, 2025

CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space.

Yong Zhao, Kai Xu, Zhengqiu Zhu, Yue Hu, Zhiheng Zheng, Yingfeng Chen, Yatai Ji, Chen Gao, Yong Li, Jincai Huang

CoRR, February, 2025

2024

Visual Grounding With Dual Knowledge Distillation.

Wansen Wu, Meng Cao, Yue Hu, Yong Peng, Long Qin, Quanjun Yin

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Vision-language navigation: a survey and taxonomy.

Wansen Wu, Tao Chang, Xinmeng Li, Quanjun Yin, Yue Hu

Neural Comput. Appl., 2024

Reinforcement learning from suboptimal demonstrations based on Reward Relabeling.

Yong Peng, Junjie Zeng, Yue Hu, Qi Fang, Quanjun Yin

Expert Syst. Appl., 2024

ACT: Action-assoCiated and Target-Related Representations for Object Navigation.

Youkai Wang, Yue Hu, Wansen Wu, Ting Liu, Yong Peng

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

PANDA: Prompt-Based Context- and Indoor-Aware Pretraining for Vision and Language Navigation.

Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Enhancing Multimodal Sentiment Analysis via Learning from Large Language Model.

Ning Pang, Wansen Wu, Yue Hu, Kai Xu, Quanjun Yin, Long Qin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation.

Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

AMGmal: Adaptive mask-guided adversarial attack against malware detection with minimal perturbation.

Dazhi Zhan, Yexin Duan, Yue Hu, Lujia Yin, Zhisong Pan, Shize Guo

Comput. Secur., April, 2023

Modeling and Simulation of Cooperative Exploration Strategies in Unknown Environments.

Yong Peng, Yue Hu, Chuan Ai

Complex Syst. Model. Simul., 2023

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

Ting Liu, Wansen Wu, Yue Hu, Youkai Wang, Kai Xu, Quanjun Yin

CoRR, 2023

Dynamic Multi-modal Prompting for Efficient Visual Grounding.

Wansen Wu, Ting Liu, Youkai Wang, Kai Xu, Quanjun Yin, Yue Hu

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.

Dazhi Zhan, Wei Bai, Xin Liu, Yue Hu, Lei Zhang, Shize Guo, Zhisong Pan

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks.

Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin

IEEE Trans. Neural Networks Learn. Syst., 2022

Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory models.

Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek, Quanjun Yin

Neural Comput. Appl., 2022

FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity.

Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Regarding Goal Bounding and Jump Point Search.

Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin

J. Artif. Intell. Res., 2021

Interpretable Goal Recognition for Path Planning with ART Networks.

Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

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

Kai Xu, Yue Hu, Yunxiu Zeng, Quanjun Yin, Mei Yang

Entropy, 2020

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

Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin

CoRR, 2020

2019

Improving the Combination of JPS and Geometric Containers.

Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin, Cong Hu

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019