Real-time data driven simulation of air contaminant dispersion using particle filter and UAV sensory system. - Rongxiao Wang; Bin Chen 003; Sihang Qiu; Zhengqiu Zhu; Liang Ma; Xiaogang Qiu; Wei Duan 002 (DS-RT, 2017)

The GIS-Based Approach for Optimal Design of Air Quality Monitoring Network for Management of Chemical Clusters. - Zhengqiu Zhu; Bin Chen 003; Sihang Qiu; Rongxiao Wang; Liang Ma; Xiaogang Qiu (EM-GIS, 2017)

The Air Contaminant Dispersion Prediction by the Integration of the Neural Network and AermodSystem. - Rongxiao Wang; Bin Chen 003; Yiduo Wang 003; Zhengqiu Zhu; Liang Ma; Xiaogang Qiu (EM-GIS@SIGSPATIAL, 2018)

A Complicated Security Assessment Model Consisting of the SIS Model and Entropy Weight Method for Evaluating the Climate Change. - Weiyi Yang; Bin Chen 003; Zhengqiu Zhu; Yong Zhao; Meng Wu (EM-GIS@SIGSPATIAL, 2018)

Playing a Chemical Cluster Environmental Protection Patrolling Game Addressing Atmospheric Contaminants Releases. - Zhengqiu Zhu; Bin Chen 003; Feiran Chen; Rongxiao Wang; Liang Ma; Xiaogang Qiu (EM-GIS@SIGSPATIAL, 2018)

Strategy of hybrid optimization algorithms for source parameters estimation of hazardous gas in field cases. - Yiduo Wang 003; Bin Chen 003; Zhengqiu Zhu; Chuan Ai (EM-GIS, 2019)

Chemical cluster environmental protection patrolling game based on cooperation mechanism. - Feiran Chen; Bin Chen 003; Zhengqiu Zhu; Chuan Ai (EM-GIS, 2019)

A promising searching method 'Entrotaxis-Jump' for seeking hazardous gas source in a chemical cluster. - Yong Zhao; Bin Chen 003; Zhengqiu Zhu; Rongxiao Wang; Hailiang Chen; Xiaogang Qiu (EM-GIS, 2019)

A cost aware crowdsensing approach for urban air quality sensing and computing. - Zhengqiu Zhu; Bin Chen 003; Yong Zhao (EM-GIS, 2020)

Entrotaxis-Jump as a hybrid search algorithm for seeking an unknown emission source in a large-scale area with road network constraint. - Yong Zhao; Bin Chen 003; Zhengqiu Zhu; Feiran Chen; Yiduo Wang 003; Denglong Ma (Expert Syst. Appl., 2020)

The Gray-Box Based Modeling Approach Integrating Both Mechanism-Model and Data-Model: The Case of Atmospheric Contaminant Dispersion. - Bin Chen 003; Yiduo Wang 003; Rongxiao Wang; Zhengqiu Zhu; Liang Ma; Xiaogang Qiu; Weihui Dai (Symmetry, 2020)

A strategy for autonomous source searching using the Gaussian Mixture Model to fit the estimate of the source location. - Yatai Ji; Yiping Wang; Bin Chen 003; Yong Zhao; Zhengqiu Zhu (CASE, 2021)

A Cost-Quality Beneficial Cell Selection Approach for Sparse Mobile Crowdsensing With Diverse Sensing Costs. - Zhengqiu Zhu; Bin Chen 003; Wenbin Liu; Yong Zhao; Zhong Liu 002; Zhiming Zhao (IEEE Internet Things J., 2021)

Crowd-Powered Source Searching in Complex Environments. - Yong Zhao; Zhengqiu Zhu; Bin Chen 003; Sihang Qiu (ChineseCSCW (2), 2022)

A deep reinforcement learning based searching method for source localization. - Yong Zhao; Bin Chen 003; Xianghan Wang; Zhengqiu Zhu; Yiduo Wang 003; Guangquan Cheng; Rui Wang 017; Rongxiao Wang; Ming He; Yu Liu 014 (Inf. Sci., 2022)

Crowdsensing Intelligence by Decentralized Autonomous Vehicles Organizations and Operations. - Zhengqiu Zhu; Xiao Wang 002; Yong Zhao; Sihang Qiu; Zhong Liu 002; Bin Chen 003; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2022)

Towards parallel intelligence: an interdisciplinary solution for complex systems. - Yong Zhao; Zhengqiu Zhu; Bin Chen 003; Sihang Qiu; Jincai Huang 001; Xin Lu 002; Weiyi Yang; Chuan Ai; Kuihua Huang; Cheng He; Yucheng Jin; Zhong Liu 002; et al. (CoRR, 2023)

Simulation of COVID-19 Outbreak in Nanjing Lukou Airport Based on Complex Dynamical Networks. - Bin Chen 003; Runkang Guo; Zhengqiu Zhu; Chuan Ai; Xiaogang Qiu (Complex Syst. Model. Simul., 2023)

A Crowd-Aided Vehicular Hybrid Sensing Framework for Intelligent Transportation Systems. - Zhengqiu Zhu; Yong Zhao; Bin Chen 003; Sihang Qiu; Zhong Liu 002; Kun Xie 001; Liang Ma (IEEE Trans. Intell. Veh., 2023)

Leveraging Human-AI Collaboration in Crowd-Powered Source Search: A Preliminary Study. - Yong Zhao; Zhengqiu Zhu; Bin Chen 003; Sihang Qiu (J. Soc. Comput., 2023)

Crowd Sensing Intelligence for ITS: Participants, Methods, and Stages. - Yong Zhao; Cong Hu; Zhengqiu Zhu; Sihang Qiu; Bin Chen 003; Peng Jiao; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2023)

Understanding the Necessity and Economic Benefits of Lockdown Measures to Contain COVID-19. - Zhengqiu Zhu; Chuan Ai; Hailiang Chen; Bin Chen 003; Wei Duan 002; Xiaogang Qiu; Xin Lu 002; Ming He; Zhiming Zhao; Zhong Liu 002 (IEEE Trans. Comput. Soc. Syst., 2023)

Web Crowdsourcing for Coastal Flood Prevention and Management. - Sihang Qiu; Yatai Ji; Zhengqiu Zhu; Yong Zhao; Rusheng Ju; Xiao Wang 002 (ICWE, 2024)

A User Interface Design for Collaborations Between Humans and Intelligent Vehicles. - Yong Zhao; Yatai Ji; Sihang Qiu; Zhengqiu Zhu; Rusheng Ju (ICWE, 2024)

A Prototype Design of LLM-Based Autonomous Web Crowdsensing. - Zhengqiu Zhu; Yatai Ji; Sihang Qiu; Yong Zhao; Kai Xu 014; Rusheng Ju; Bin Chen 003 (ICWE, 2024)

Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach. - Zhengqiu Zhu; Yong Zhao; Bin Chen 003; Sihang Qiu; Kai Xu 014; Quanjun Yin; Jincai Huang 001; Zhong Liu 002; Fei-Yue Wang 001 (CoRR, 2024)

Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing. - Yong Zhao; Zhengqiu Zhu; Chen Gao 001; En Wang; Jincai Huang 001; Fei-Yue Wang 001 (CoRR, 2024)

A Data-driven Crowd Simulation Framework Integrating Physics-informed Machine Learning with Navigation Potential Fields. - Runkang Guo; Bin Chen; Qi Zhang; Yong Zhao; Xiao Wang; Zhengqiu Zhu (CoRR, 2024)

Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation. - Wansen Wu; Weiyi Yang; Juanjuan Li; Yong Zhao; Zhengqiu Zhu; Bin Chen 003; Sihang Qiu; Yong Peng; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2024)

Conversational Crowdsensing in the Age of Industry 5.0: A Parallel Intelligence and Large Models Powered Novel Sensing Approach. - Zhengqiu Zhu; Yong Zhao; Sihang Qiu; Kai Xu 014; Quanjun Yin; Jincai Huang 001; Zhong Liu 002; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

AutoS2earch: Unlocking the Reasoning Potential of Large Models for Web-based Source Search. - Zhengqiu Zhu; Yatai Ji; Jiaheng Huang; Yong Zhao; Sihang Qiu; Rusheng Ju (CoRR, 2025)

CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space. - Yong Zhao; Kai Xu 014; Zhengqiu Zhu; Yue Hu; Zhiheng Zheng; Yingfeng Chen; Yatai Ji; Chen Gao 001; Yong Li 008; Jincai Huang 001 (CoRR, 2025)

GeoNav: Empowering MLLMs with Explicit Geospatial Reasoning Abilities for Language-Goal Aerial Navigation. - Haotian Xu; Yue Hu; Chen Gao 001; Zhengqiu Zhu; Yong Zhao; Yong Li 008; Quanjun Yin (CoRR, 2025)

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue. - Wenhao Lu; Zhengqiu Zhu; Yong Zhao; Yonglin Tian; Junjie Zeng; Jun Zhang 040; Zhong Liu 002; Fei-Yue Wang 001 (CoRR, 2025)

Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology. - Yatai Ji; Zhengqiu Zhu; Yong Zhao; Beidan Liu; Chen Gao 001; Yihao Zhao; Sihang Qiu; Yue Hu; Quanjun Yin; Yong Li 008 (CoRR, 2025)

Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events. - Mengzhu Liu; Zhengqiu Zhu; Chuan Ai; Chen Gao 001; Xinghong Li; Lingnan He; Kaisheng Lai; Yingfeng Chen; Xin Lu; Yong Li 008; Quanjun Yin (CoRR, 2025)

Goal-oriented multi-robot collaborative source search with dynamic exploration-exploitation balance in large-scale constrained areas. - Mengyu Yan; Zhengqiu Zhu; Yong Zhao; Bin Chen 003; Yatai Ji; Kai Xu 014; Shuohao Li (Inf. Fusion, 2026)