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Journal Articles
- 2025
[j21]Ji Wang
, Miao Zhang, Quanjun Yin, Lujia Yin, Yong Peng:
Multi-agent reinforcement learning for task offloading with hybrid decision space in multi-access edge computing. Ad Hoc Networks 166: 103671 (2025)- 2024
- [j20]Yong Peng, Junjie Zeng, Yue Hu, Qi Fang, Quanjun Yin:
Reinforcement learning from suboptimal demonstrations based on Reward Relabeling. Expert Syst. Appl. 255: 124580 (2024) - [j19]Wansen Wu, Tao Chang, Xinmeng Li, Quanjun Yin, Yue Hu:
Vision-language navigation: a survey and taxonomy. Neural Comput. Appl. 36(7): 3291-3316 (2024) - [j18]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): 8664-8679 (2024) - 2022
- [j17]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): 14859-14879 (2022) - [j16]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): 7101-7113 (2022) - [j15]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): 3442-3459 (2022) - 2021
- [j14]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: 497-516 (2021) - [j13]Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin:
Regarding Goal Bounding and Jump Point Search. J. Artif. Intell. Res. 70: 631-681 (2021) - 2020
- [j12]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: 15392-15409 (2020) - [j11]Kai Xu, Yunxiu Zeng, Long Qin, Quanjun Yin:
Single Real Goal, Magnitude-Based Deceptive Path-Planning. Entropy 22(1): 88 (2020) - [j10]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): 162 (2020) - 2019
- [j9]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: 57-71 (2019) - [j8]Kai Xu, Quanjun Yin:
Goal Identification Control Using an Information Entropy-Based Goal Uncertainty Metric. Entropy 21(3): 299 (2019) - [j7]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): 767 (2019) - [j6]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): 3837 (2019) - [j5]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): 237 (2019) - 2018
- [j4]Xiangyu Wei, Cheng Zhu, Kaiming Xiao, Quanjun Yin, Yabing Zha:
Shortest Path Network Interdiction With Goal Threshold. IEEE Access 6: 29332-29343 (2018) - 2017
- [j3]Quanjun Yin, Long Qin, Yong Peng, Wei Duan:
Learning real-time search on c-space GVDs. Frontiers Comput. Sci. 11(6): 1036-1049 (2017) - 2016
- [j2]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: 54-79 (2016) - 2015
- [j1]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: 141-151 (2015)
Conference and Workshop Papers
- 2024
- [c24]Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin:
DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation. ICASSP 2024: 2615-2619 - [c23]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. ICME 2024: 1-6 - [c22]Ning Pang, Wansen Wu, Yue Hu, Kai Xu, Quanjun Yin, Long Qin:
Enhancing Multimodal Sentiment Analysis via Learning from Large Language Model. ICME 2024: 1-6 - [c21]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: 187-200 - 2023
- [c20]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: 452-461 - [c19]Wansen Wu, Ting Liu, Youkai Wang, Kai Xu, Quanjun Yin, Yue Hu:
Dynamic Multi-modal Prompting for Efficient Visual Grounding. PRCV (7) 2023: 359-371 - 2022
- [c18]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: 8:1-8:11 - [c17]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: 840-845 - 2021
- [c16]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: 414-422 - [c15]Xinmeng Li, Qian Li, Wansen Wu, Quanjun Yin:
Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration. EMNLP (1) 2021: 2241-2249 - [c14]Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Interpretable Goal Recognition for Path Planning with ART Networks. IJCNN 2021: 1-8 - 2020
- [c13]Wansen Wu, Xinmeng Li, Quanjun Yin:
Memory network based Knowledge Driven Model for Response Generation in Dialog System. CIIS 2020: 64-68 - 2019
- [c12]Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin, Cong Hu:
Improving the Combination of JPS and Geometric Containers. ICAPS 2019: 209-213 - 2018
- [c11]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: 646-653 - [c10]Weilong Yang, Yong Peng, Quanjun Yin, Lin Sun:
History-based single Belief State Generation for Partially Observable Real-Time Strategy Games. WSC 2018: 763-773 - 2017
- [c9]Qi Zhang, Lin Sun, Peng Jiao, Quanjun Yin:
Combining behavior trees with MAXQ learning to facilitate CGFs behavior modeling. ICSAI 2017: 525-531 - [c8]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: 4477-4483 - [c7]Qi Zhang, Quanjun Yin, Yue Hu:
Modeling CGFs behavior by an extended option based learning behavior trees. CIS/RAM 2017: 260-265 - 2016
- [c6]Qi Zhang, Quanjun Yin, Kai Xu:
Towards an Integrated Learning Framework for Behavior Modeling of Adaptive CGFs. ISCID (2) 2016: 7-12 - 2015
- [c5]Kai Xu, Lin Sun, Quanjun Yin:
Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection. DS-RT 2015: 140-146 - 2014
- [c4]Weitao Dang, Kai Xu, Quanjun Yin, Qixin Zhang:
A Path Planning Algorithm Based on Parallel Particle Swarm Optimization. ICIC (1) 2014: 82-90 - [c3]Shi-guang Yue, Yabing Zha, Quanjun Yin, Long Qin:
Multi-agent intention recognition using logical hidden semi-Markov models. SIMULTECH 2014: 701-708 - 2013
- [c2]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: 332-342 - [c1]Quanjun Yin, Nazim H. Madhavji, Mahesh Pattani:
Eros: an approach for ensuring regulatory compliance of process outcomes. RELAW 2013: 21-24
Informal and Other Publications
- 2024
- [i15]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 abs/2401.14027 (2024) - [i14]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 abs/2402.06654 (2024) - [i13]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 abs/2405.06217 (2024) - [i12]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 abs/2405.14700 (2024) - [i11]Xuyang Liu, Ting Liu, Siteng Huang, Yue Hu, Quanjun Yin, Donglin Wang, Honggang Chen:
M2IST: Multi-Modal Interactive Side-Tuning for Memory-efficient Referring Expression Comprehension. CoRR abs/2407.01131 (2024) - [i10]Ting Liu, Zunnan Xu, Yue Hu, Liangtao Shi, Zhiqiang Wang, Quanjun Yin:
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension. CoRR abs/2409.13609 (2024) - 2023
- [i9]Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao:
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning. CoRR abs/2308.08290 (2023) - [i8]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 abs/2309.03661 (2023) - [i7]Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen:
Asymmetrically Decentralized Federated Learning. CoRR abs/2310.05093 (2023) - [i6]Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin:
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation. CoRR abs/2311.17812 (2023) - 2022
- [i5]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 abs/2206.10546 (2022) - 2021
- [i4]Xinmeng Li, Mamoun Alazab, Qian Li, Keping Yu, Quanjun Yin:
Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction. CoRR abs/2104.13173 (2021) - [i3]Xinmeng Li, Wansen Wu, Long Qin, Quanjun Yin:
How to Evaluate Your Dialogue Models: A Review of Approaches. CoRR abs/2108.01369 (2021) - 2020
- [i2]Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. CoRR abs/2010.00187 (2020) - 2018
- [i1]Junjie Zeng, Long Qin, Yue Hu, Cong Hu, Quanjun Yin:
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder. CoRR abs/1811.01700 (2018)
Coauthor Index
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