Yue Hu

40 papers A* 3A 3B 3Misc 1Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban Environments.
CoRR
Haotian Xu, Yue Hu, Zhengqiu Zhu, Chen Gao, Ziyou Wang, Junreng Rao, Wenhao Lu, Weishi Li, Quanjun Yin, Yong Li
2026 J jnl
GeoNav: Empowering MLLMs with dual-scale geospatial reasoning for language-goal aerial navigation.
Pattern Recognit.
Haotian Xu, Yue Hu, Chen Gao, Zhengqiu Zhu, Yong Zhao, Quanjun Yin
2026 J jnl
M2IST: Multi-Modal Interactive Side-Tuning for Efficient Referring Expression Comprehension.
IEEE Trans. Circuits Syst. Video Technol.
Xuyang Liu, Ting Liu, Siteng Huang, Yi Xin, Yue Hu, Long Qin, Donglin Wang, Yuanyuan Wu, Honggang Chen
2026 A* conf
Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology.
AAAI
Yatai Ji, Zhengqiu Zhu, Yong Zhao, Beidan Liu, Chen Gao, Yihao Zhao, Sihang Qiu, Yue Hu, Quanjun Yin
2025 A* conf
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space.
EMNLP
Yong Zhao, Kai Xu, Zhengqiu Zhu, Yue Hu, Zhiheng Zheng, Yingfeng Chen, Yatai Ji, Chen Gao, Yong Li, Jincai Huang
2025 J jnl
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space.
CoRR
Yong Zhao, Kai Xu, Zhengqiu Zhu, Yue Hu, Zhiheng Zheng, Yingfeng Chen, Yatai Ji, Chen Gao, Yong Li, Jincai Huang
2025 J jnl
GeoNav: Empowering MLLMs with Explicit Geospatial Reasoning Abilities for Language-Goal Aerial Navigation.
CoRR
Haotian Xu, Yue Hu, Chen Gao, Zhengqiu Zhu, Yong Zhao, Yong Li, Quanjun Yin
2025 J jnl
NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models.
CoRR
Fang Yuan, Junjie Zeng, Yue Hu, Zhengqiu Zhu, Quanjun Yin, Yuxiang Xie
2025 J jnl
SwimVG: Step-Wise Multimodal Fusion and Adaption for Visual Grounding.
IEEE Trans. Multim.
Liangtao Shi, Ting Liu, Xiantao Hu, Yue Hu, Quanjun Yin, Richang Hong
2025 J jnl
SwimVG: Step-wise Multimodal Fusion and Adaption for Visual Grounding.
CoRR
Liangtao Shi, Ting Liu, Xiantao Hu, Yue Hu, Quanjun Yin, Richang Hong
2025 J jnl
Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology.
CoRR
Yatai Ji, Zhengqiu Zhu, Yong Zhao, Beidan Liu, Chen Gao, Yihao Zhao, Sihang Qiu, Yue Hu, Quanjun Yin, Yong Li
2024 — conf
ACT: Action-assoCiated and Target-Related Representations for Object Navigation.
MMM (1)
Youkai Wang, Yue Hu, Wansen Wu, Ting Liu, Yong Peng
2024 Misc conf
DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation.
ICASSP
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
2024 A conf
DARA: Domain- and Relation-Aware Adapters Make Parameter-Efficient Tuning for Visual Grounding.
ICME
Ting Liu, Xuyang Liu, Siteng Huang, Honggang Chen, Quanjun Yin, Long Qin, Donglin Wang, Yue Hu
2024 J jnl
DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding.
CoRR
Ting Liu, Xuyang Liu, Siteng Huang, Honggang Chen, Quanjun Yin, Long Qin, Donglin Wang, Yue Hu
2024 A conf
Enhancing Multimodal Sentiment Analysis via Learning from Large Language Model.
ICME
Ning Pang, Wansen Wu, Yue Hu, Kai Xu, Quanjun Yin, Long Qin
2024 J jnl
M
CoRR
Xuyang Liu, Ting Liu, Siteng Huang, Yue Hu, Quanjun Yin, Donglin Wang, Honggang Chen
2024 J jnl
MalPatch: Evading DNN-Based Malware Detection With Adversarial Patches.
IEEE Trans. Inf. Forensics Secur.
Dazhi Zhan, Yexin Duan, Yue Hu, Weili Li, Shize Guo, Zhisong Pan
2024 J jnl
Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model.
CoRR
Ting Liu, Liangtao Shi, Richang Hong, Yue Hu, Quanjun Yin, Linfeng Zhang
2024 — conf
PANDA: Prompt-Based Context- and Indoor-Aware Pretraining for Vision and Language Navigation.
MMM (1)
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
2024 J jnl
Reinforcement learning from suboptimal demonstrations based on Reward Relabeling.
Expert Syst. Appl.
Yong Peng, Junjie Zeng, Yue Hu, Qi Fang, Quanjun Yin
2024 J jnl
Vision-language navigation: a survey and taxonomy.
Neural Comput. Appl.
Wansen Wu, Tao Chang, Xinmeng Li, Quanjun Yin, Yue Hu
2024 J jnl
Visual Grounding With Dual Knowledge Distillation.
IEEE Trans. Circuits Syst. Video Technol.
Wansen Wu, Meng Cao, Yue Hu, Yong Peng, Long Qin, Quanjun Yin
2023 J jnl
AMGmal: Adaptive mask-guided adversarial attack against malware detection with minimal perturbation.
Comput. Secur.
Dazhi Zhan, Yexin Duan, Yue Hu, Lujia Yin, Zhisong Pan, Shize Guo
2023 J jnl
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation.
CoRR
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
2023 — conf
Dynamic Multi-modal Prompting for Efficient Visual Grounding.
PRCV (7)
Wansen Wu, Ting Liu, Youkai Wang, Kai Xu, Quanjun Yin, Yue Hu
2023 J jnl
Modeling and Simulation of Cooperative Exploration Strategies in Unknown Environments.
Complex Syst. Model. Simul.
Yong Peng, Yue Hu, Chuan Ai
2023 A conf
PSP-Mal: Evading Malware Detection via Prioritized Experience-based Reinforcement Learning with Shapley Prior.
ACSAC
Dazhi Zhan, Wei Bai, Xin Liu, Yue Hu, Lei Zhang, Shize Guo, Zhisong Pan
2023 J jnl
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation.
CoRR
Ting Liu, Wansen Wu, Yue Hu, Youkai Wang, Kai Xu, Quanjun Yin
2023 J jnl
Towards robust CNN-based malware classifiers using adversarial examples generated based on two saliency similarities.
Neural Comput. Appl.
Dazhi Zhan, Yue Hu, Weili Li, Jun Chen, Shize Guo, Zhisong Pan
2022 B conf
FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity.
SMC
Guanghao Li, Yue Hu, Miao Zhang, Li Li, Tao Chang, Quanjun Yin
2022 B conf
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity.
ICPP
Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
2022 J jnl
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity.
CoRR
Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
2022 J jnl
Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
2022 J jnl
Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory models.
Neural Comput. Appl.
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek, Quanjun Yin
2021 B conf
Interpretable Goal Recognition for Path Planning with ART Networks.
IJCNN
Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
2021 J jnl
Regarding Goal Bounding and Jump Point Search.
J. Artif. Intell. Res.
Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin
2020 J jnl
Improving the Scalability of the Magnitude-Based Deceptive Path-Planning Using Subgoal Graphs.
Entropy
Kai Xu, Yue Hu, Yunxiu Zeng, Quanjun Yin, Mei Yang
2020 J jnl
Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models.
CoRR
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
2019 A* conf
Improving the Combination of JPS and Geometric Containers.
ICAPS
Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin, Cong Hu