Quanjun Yin

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 50

Top Topics

Path Planning Algorithm

Reinforcement Learning

Topological Map

Partially Observable

Top Venues

Publications

Xiuling Zhang, Riheng Jia, Quanjun Yin, Zhonglong Zheng, Minglu Li
Intelligent Trajectory Design and Charging Scheduling in Wireless Rechargeable Sensor Networks With Obstacles. IEEE Trans. Mob. Comput. 23 (9) (2024)
Ting Liu, Xuyang Liu, Liangtao Shi, Zunnan Xu, Siteng Huang, Yi Xin, Quanjun Yin
Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning and Inference. CoRR (2024)
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
PANDA: Prompt-Based Context- and Indoor-Aware Pretraining for Vision and Language Navigation. MMM (1) (2024)
Zhengqiu Zhu, Yong Zhao, Bin Chen, Sihang Qiu, Kai Xu, Quanjun Yin, Jincai Huang, Zhong Liu, Fei-Yue Wang
Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach. CoRR (2024)
Wansen Wu, Tao Chang, Xinmeng Li, Quanjun Yin, Yue Hu
Vision-language navigation: a survey and taxonomy. Neural Comput. Appl. 36 (7) (2024)
Yong Peng, Junjie Zeng, Yue Hu, Qi Fang, Quanjun Yin
Reinforcement learning from suboptimal demonstrations based on Reward Relabeling. Expert Syst. Appl. 255 (2024)
Mengyao Du, Miao Zhang, Yuwen Pu, Kai Xu, Shouling Ji, Quanjun Yin
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness. CoRR (2024)
Xuyang Liu, Ting Liu, Siteng Huang, Yue Hu, Quanjun Yin, Donglin Wang, Honggang Chen
IST: Multi-Modal Interactive Side-Tuning for Memory-efficient Referring Expression Comprehension. CoRR (2024)
Ting Liu, Xuyang Liu, Siteng Huang, Honggang Chen, Quanjun Yin, Long Qin, Donglin Wang, Yue Hu
DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding. CoRR (2024)
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation. ICASSP (2024)
Ting Liu, Wansen Wu, Yue Hu, Youkai Wang, Kai Xu, Quanjun Yin
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation. CoRR (2023)
Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation. CoRR (2023)
Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning. CoRR (2023)
Wansen Wu, Ting Liu, Youkai Wang, Kai Xu, Quanjun Yin, Yue Hu
Dynamic Multi-modal Prompting for Efficient Visual Grounding. PRCV (7) (2023)
Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen
Asymmetrically Decentralized Federated Learning. CoRR (2023)
Mengyao Du, Miao Zhang, Lin Liu, Kai Xu, Quanjun Yin
Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain. ICPP (2023)
Miao Zhang, Yong Peng, Jiancheng Zhu, Quanjun Yin
Efficient Flow-Based Scheduling for Geo-Distributed Simulation Tasks in Collaborative Edge and Cloud Environments. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. ICPP (2022)
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek, Quanjun Yin
Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory models. Neural Comput. Appl. 34 (17) (2022)
Guanghao Li, Yue Hu, Miao Zhang, Li Li, Tao Chang, Quanjun Yin
FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity. SMC (2022)
Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. CoRR (2022)
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Miao Zhang, Yong Peng, Mei Yang, Quanjun Yin, Xu Xie
A discrete PSO-based static load balancing algorithm for distributed simulations in a cloud environment. Future Gener. Comput. Syst. 115 (2021)
Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
Interpretable Goal Recognition for Path Planning with ART Networks. IJCNN (2021)
Yukai Song, Yue Hu, Junjie Zeng, Cong Hu, Long Qin, Quanjun Yin
Towards Efficient Exploration in Unknown Spaces: A Novel Hierarchical Approach Based on Intrinsic Rewards. CACRE (2021)
Xinmeng Li, Qian Li, Wansen Wu, Quanjun Yin
Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration. EMNLP (1) (2021)
Xinmeng Li, Wansen Wu, Long Qin, Quanjun Yin
How to Evaluate Your Dialogue Models: A Review of Approaches. CoRR (2021)
Xinmeng Li, Mamoun Alazab, Qian Li, Keping Yu, Quanjun Yin
Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction. CoRR (2021)
Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin
Regarding Goal Bounding and Jump Point Search. J. Artif. Intell. Res. 70 (2021)
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. CoRR (2020)
Kai Xu, Yunxiu Zeng, Long Qin, Quanjun Yin
Single Real Goal, Magnitude-Based Deceptive Path-Planning. Entropy 22 (1) (2020)
Wansen Wu, Xinmeng Li, Quanjun Yin
Memory network based Knowledge Driven Model for Response Generation in Dialog System. CIIS (2020)
Yunxiu Zeng, Kai Xu, Long Qin, Quanjun Yin
A Semi-Markov Decision Model With Inverse Reinforcement Learning for Recognizing the Destination of a Maneuvering Agent in Real Time Strategy Games. IEEE Access 8 (2020)
Kai Xu, Yue Hu, Yunxiu Zeng, Quanjun Yin, Mei Yang
Improving the Scalability of the Magnitude-Based Deceptive Path-Planning Using Subgoal Graphs. Entropy 22 (2) (2020)
Junjie Zeng, Rusheng Ju, Long Qin, Yue Hu, Quanjun Yin, Cong Hu
Navigation in Unknown Dynamic Environments Based on Deep Reinforcement Learning. Sensors 19 (18) (2019)
Kai Xu, Quanjun Yin
Goal Identification Control Using an Information Entropy-Based Goal Uncertainty Metric. Entropy 21 (3) (2019)
Xiangyu Wei, Kai Xu, Peng Jiao, Quanjun Yin, Yabing Zha
A Decomposition Approach for Stochastic Shortest-Path Network Interdiction with Goal Threshold. Symmetry 11 (2) (2019)
Peng Wang, Mei Yang, Yong Peng, Jiancheng Zhu, Rusheng Ju, Quanjun Yin
Sensor Control in Anti-Submarine Warfare - A Digital Twin and Random Finite Sets Based Approach. Entropy 21 (8) (2019)
Kai Xu, Yunxiu Zeng, Qi Zhang, Quanjun Yin, Lin Sun, Kaiming Xiao
Online probabilistic goal recognition and its application in dynamic shortest-path local network interdiction. Eng. Appl. Artif. Intell. 85 (2019)
Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin, Cong Hu
Improving the Combination of JPS and Geometric Containers. ICAPS (2019)
Weilong Yang, Yong Peng, Quanjun Yin, Lin Sun
History-based single Belief State Generation for Partially Observable Real-Time Strategy Games. WSC (2018)
Junjie Zeng, Long Qin, Yue Hu, Cong Hu, Quanjun Yin
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder. CoRR (2018)
Yunxiu Zeng, Kai Xu, Quanjun Yin, Long Qin, Yabing Zha, William Yeoh
Inverse Reinforcement Learning Based Human Behavior Modeling for Goal Recognition in Dynamic Local Network Interdiction. AAAI Workshops (2018)
Xiangyu Wei, Cheng Zhu, Kaiming Xiao, Quanjun Yin, Yabing Zha
Shortest Path Network Interdiction With Goal Threshold. IEEE Access 6 (2018)
Qi Zhang, Quanjun Yin, Yue Hu
Modeling CGFs behavior by an extended option based learning behavior trees. CIS/RAM (2017)
Qi Zhang, Lin Sun, Peng Jiao, Quanjun Yin
Combining behavior trees with MAXQ learning to facilitate CGFs behavior modeling. ICSAI (2017)
Kai Xu, Kaiming Xiao, Quanjun Yin, Yabing Zha, Cheng Zhu
Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction. IJCAI (2017)
Quanjun Yin, Long Qin, Yong Peng, Wei Duan
Learning real-time search on c-space GVDs. Frontiers Comput. Sci. 11 (6) (2017)
Yong Peng, Mei Yang, Quanjun Yin, Yabing Zha
An accurate interest matching algorithm based on prediction of the space-time intersection of regions for the distributed virtual environment. Simul. Model. Pract. Theory 68 (2016)
Qi Zhang, Quanjun Yin, Kai Xu
Towards an Integrated Learning Framework for Behavior Modeling of Adaptive CGFs. ISCID (2) (2016)
Kai Xu, Lin Sun, Quanjun Yin
Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection. DS-RT (2015)
Xiaocheng Liu, Yabing Zha, Quanjun Yin, Yong Peng, Long Qin
Scheduling parallel jobs with tentative runs and consolidation in the cloud. J. Syst. Softw. 104 (2015)
Shi-guang Yue, Yabing Zha, Quanjun Yin, Long Qin
Multi-agent intention recognition using logical hidden semi-Markov models. SIMULTECH (2014)
Weitao Dang, Kai Xu, Quanjun Yin, Qixin Zhang
A Path Planning Algorithm Based on Parallel Particle Swarm Optimization. ICIC (1) (2014)
Quanjun Yin, Nazim H. Madhavji, Mahesh Pattani
Eros: an approach for ensuring regulatory compliance of process outcomes. RELAW (2013)
Qi Zhang, Shi-guang Yue, Quanjun Yin, Yabing Zha
Dynamic Obstacle-Avoiding Path Planning for Robots Based on Modified Potential Field Method. ICIC (2) (2013)