Bing Shi

Orcid: 0000-0002-2382-4104

Affiliations:
  • Wuhan University of Technology, School of Computer Science and Artificial Intelligence, Wuhan, China
  • Wuhan University of Technology, Shenzhen Research Institute, Shenzhen, China
  • Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China (until 2006)
  • University of Southampton, UK (PhD 2011)


According to our database1, Bing Shi authored at least 55 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Diffusion-based Symbolic Music Generation with Structured State Space Models.
CoRR, July, 2025

A Stackelberg Game-Based Trajectory Planning Strategy for Multi-AAVs-Assisted MEC System.
IEEE Trans. Netw. Serv. Manag., April, 2025

Exploiting Viaduct Blocking Effects for Enhanced Spectrum Availability in Cognitive Radio-Assisted Internet of Vehicles.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2025

MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal Precision.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
A dynamic region-division based pricing strategy in ride-hailing.
Appl. Intell., November, 2024

Task Offloading and Resource Allocation Strategies Among Multiple Edge Servers.
IEEE Internet Things J., April, 2024

Truthful mechanisms to maximize the social welfare in real-time ride-sharing.
Web Intell., 2024

A second-pricing based incentive-compatible mechanism for matching and pricing in ride-sharing.
Expert Syst. Appl., 2024

A vehicle value based ride-hailing order matching and dispatching algorithm.
Eng. Appl. Artif. Intell., 2024

A Multi-Agent Reinforcement Learning Algorithm Embedded with Opponent Modeling.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
A Dynamic Matching Time Strategy Based on Multi-Agent Reinforcement Learning in Ride-Hailing.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

A Dynamic Pricing Strategy in Divided Regions for Ride-Hailing.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

A Dynamic Pricing Strategy for Load Balancing Across Multiple Edge Servers.
Proceedings of the IEEE International Conference on Web Services, 2023

2022
A deep reinforcement learning-based approach for pricing in the competing auction-based cloud market.
Serv. Oriented Comput. Appl., 2022

An auction based task dispatching and pricing mechanism in bike-sharing.
Knowl. Based Syst., 2022

User Incentive Based Bike-Sharing Dispatching Strategy.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Hybrid Link Connectivity Model for Opportunistic Routing in IoV Networks under Viaduct Scenarios.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

A Vehicle Value Based Ride-Hailing Order Matching and Dispatching Algorithm.
Proceedings of the Knowledge Science, Engineering and Management, 2022

An Incentive-Compatible and Efficient Mechanism for Matching and Pricing in Ride-Sharing.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Ride-Hailing Order Matching and Vehicle Repositioning Based on Vehicle Value Function.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System.
Proceedings of the International Joint Conference on Neural Networks, 2022

Joint Optimization of Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

A Deep Reinforcement Learning Based Dynamic Pricing Algorithm in Ride-Hailing.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Trading and Pricing Sensor Data in Competing Edge Servers with Double Auction Markets.
J. Sensors, 2021

Social-Based Link Reliability Prediction Model for CR-VANETs.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Deep Reinforcement Learning Based Task Offloading Strategy Under Dynamic Pricing in Edge Computing.
Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

2020
A Deep Reinforcement Learning based Mobile Device Task Offloading Algorithm in MEC.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Multi-Agent Deep Reinforcement Learning Based Pricing Strategy for Competing Cloud Platforms in the Evolutionary Market.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

Pricing in the Competing Auction-Based Cloud Market: A Multi-agent Deep Deterministic Policy Gradient Approach.
Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

A Game-Theoretical Analysis of Charging Strategies for Competing Double Auction Marketplaces.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2020

Auction-Based Order-Matching Mechanisms to Maximize Social Welfare in Real-Time Ride-Sharing.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Application of extent analysis FAHP to determine the relative weights of evaluation indices for library website usability acceptance model.
IET Softw., 2019

MIPS CPU development with analogous teaching method for experimental teaching of digital logic and computer organization.
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019

Reverse Auction Based Incentive Order Matching Mechanism for Real-Time Ride-Sharing.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Maximizing Profits of Allocating Limited Resources under Stochastic User Demands.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Multi-Cycle CPU Design With FPGA for Teaching of Computer Organization Principle.
Proceedings of the 14th International Conference on Computer Science & Education, 2019

2018
Identifying Dimensions and Their Measuring Items for Library Website Usability Acceptance Model: Instrument Development and Validation.
J. Comput., 2018

Identifying Relative Weights of Evaluation Indices for Library Website Usability Acceptance Model by Applying the Extent Analysis Fuzzy AHP Approach.
Int. J. Web Appl., 2018

Pricing Cloud Resource Based on Multi-Agent Reinforcement Learning in the Competing Environment.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

UNSCALE: Multi-criteria Usability Evaluation Framework for Library Websites in a Fuzzy Environment.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Pricing Cloud Resource Based on Reinforcement Learning in the Competing Environment.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

2016
An equilibrium analysis of trading across multiple double auction marketplaces using fictitious play.
Electron. Commer. Res. Appl., 2016

Setting an Effective Pricing Policy for Double Auction Marketplaces.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

A Game-Theoretic Analysis of Pricing Strategies for Competing Cloud Platforms.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2014
Bidding with Fees and Setting Effective Fees in a Double Auction Marketplace.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

2013
An equilibrium analysis of market selection strategies and fee strategies in competing double auction marketplaces.
Auton. Agents Multi Agent Syst., 2013

Collabmap: crowdsourcing maps for emergency planning.
Proceedings of the Web Science 2013 (co-located with ECRC), 2013

RMASBench: a benchmarking system for multi-agent coordination in urban search and rescue.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

RMASBench: benchmarking dynamic multi-agent coordination in urban search and rescue.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2011
CollabMap: Augmenting Maps Using the Wisdom of Crowds.
Proceedings of the Human Computation, 2011

2010
An Equilibrium Analysis of Competing Double Auction Marketplaces Using Fictitious Play.
Proceedings of the ECAI 2010, 2010

A game-theoretic analysis of market selection strategies for competing double auction marketplaces.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Setting Fees in Competing Double Auction Marketplaces: An Equilibrium Analysis.
Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2010

2008
IAMwildCAT: The Winning Strategy for the TAC Market Design Competition.
Proceedings of the ECAI 2008, 2008

2006
Rewards-based negotiation for providing context information.
Proceedings of the 4th International Workshop on Middleware for Pervasive and Ad-hoc Computing (MPAC 2006), held at the ACM/IFIP/USENIX 7th International Middleware Conference, November 27, 2006


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