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ORCIDBing Shi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Bing Shi 0001 — University of Maryland, Department of Electrical and Computer Engineering, MD, USA
- Bing Shi 0002
![[0000-0002-2382-4104]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2382-4104")
— Wuhan University of Technology, School of Computer Science and Artificial Intelligence, Shenzhen Research Institute, China (and 1 more) - Bing Shi 0003 — Harbin Institute of Technology Shenzhen, School of Electronic and Information Engineering, China
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2020 – today
- 2025
[j24]Xiaogang Ma, Bing Shi:
Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional connectivity analyses. NeuroImage 309: 121051 (2025)- 2024
- [j23]Juan Huan, Yongchun Zheng, Xiangen Xu, Hao Zhang, Bing Shi, Chen Zhang, Qucheng Hu, Yixiong Fan, Ninglong Wu, Jiapeng Lv:
Prediction of CODMn concentration in lakes based on spatiotemporal feature screening and interpretable learning methods - A study of Changdang Lake, China. Comput. Electron. Agric. 219: 108793 (2024) - [j22]Bing Shi, Yiming Xia, Shuai Xu, Yikai Luo:
A vehicle value based ride-hailing order matching and dispatching algorithm. Eng. Appl. Artif. Intell. 132: 107954 (2024) - [j21]Bing Shi, Shun Li, Yikai Luo, Liquan Zhu:
Truthful mechanisms to maximize the social welfare in real-time ride-sharing. Web Intell. 22(1): 65-82 (2024) - [c49]Shun Li, Xiao Su, Bing Shi:
A Multi-Agent Reinforcement Learning Algorithm Embedded with Opponent Modeling. ECAI 2024: 1816-1823 - [i2]Jiatao Chen, Tianming Xie, Xing Tang, Jing Wang, Wenjing Dong, Bing Shi:
MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal Precision. CoRR abs/2409.02421 (2024) - 2023
- [j20]Pengfei Yu, Wenan Tan, Weinan Niu, Bing Shi:
Aspect-location attention networks for aspect-category sentiment analysis in social media. J. Intell. Inf. Syst. 61(2): 395-419 (2023) - [c48]Bing Shi, Wenan Tan, Pengfei Yu:
Momentum Contrastive Learning for Sequential Recommendation. CSCWD 2023: 107-112 - [c47]Bing Shi, Feiyang Chen:
A Dynamic Pricing Strategy for Load Balancing Across Multiple Edge Servers. ICWS 2023: 329-339 - [c46]Shuai Li, Bing Shi, Yaping Deng:
A Dynamic Matching Time Strategy Based on Multi-Agent Reinforcement Learning in Ride-Hailing. SEKE 2023: 524-529 - [i1]Hanyao Huang, Ou Zheng, Dongdong Wang, Jiayi Yin, Zijin Wang, Shengxuan Ding, Heng Yin, Chuan Xu, Renjie Yang, Qian Zheng, Bing Shi:
ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model. CoRR abs/2304.03086 (2023) - 2022
- [j19]Bing Shi, Yaping Deng, Han Yuan:
An auction based task dispatching and pricing mechanism in bike-sharing. Knowl. Based Syst. 235: 107631 (2022) - [j18]Bing Shi, Lianzhen Huang, Rongjian Shi:
A deep reinforcement learning-based approach for pricing in the competing auction-based cloud market. Serv. Oriented Comput. Appl. 16(2): 83-95 (2022) - [c45]Zhuohan Xu, YanPing Yang, Bing Shi:
Joint Optimization of Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System. ICSOC 2022: 422-429 - [c44]Zhuohan Xu, Zeheng Zhong, Bing Shi:
Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System. IJCNN 2022: 1-8 - [c43]Shuai Xu, Zeheng Zhong, Yikai Luo, Bing Shi:
A Vehicle Value Based Ride-Hailing Order Matching and Dispatching Algorithm. KSEM (3) 2022: 289-301 - [c42]Shun Li, Zeheng Zhong, Bing Shi:
Ride-Hailing Order Matching and Vehicle Repositioning Based on Vehicle Value Function. KSEM (2) 2022: 406-416 - [c41]Xing Tang, Yongbiao Tao, Wei Liu, Bing Shi, Jing Wang:
A Hybrid Link Connectivity Model for Opportunistic Routing in IoV Networks under Viaduct Scenarios. MSN 2022: 786-790 - [c40]Bing Shi, Zhaoxiang Song, Xizi Huang, Jianqiao Xu:
User Incentive Based Bike-Sharing Dispatching Strategy. PAKDD (3) 2022: 338-352 - 2021
- [j17]Bing Shi, Zhaoxiang Song, Jianqiao Xu:
Trading and Pricing Sensor Data in Competing Edge Servers with Double Auction Markets. J. Sensors 2021: 1-13 (2021) - [j16]Sai Li, Huajing Fang, Bing Shi:
Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression. Reliab. Eng. Syst. Saf. 210: 107542 (2021) - [c39]Bing Shi, Feiyang Chen, Xing Tang:
Deep Reinforcement Learning Based Task Offloading Strategy Under Dynamic Pricing in Edge Computing. ICSOC 2021: 578-594 - [c38]Yaping Deng, Bing Shi, Han Yuan:
An Auction Based Task Dispatching and Pricing Mechanism in Bike-sharing. IJCNN 2021: 1-8 - [c37]Jing Wang, Aoxue Mei, Xing Tang, Bing Shi:
Social-Based Link Reliability Prediction Model for CR-VANETs. WASA (1) 2021: 376-388 - 2020
- [j15]Di Wu, Bing Shi, Bin Li, Wenming Wu:
A Pipeline-Based Oil-Bath PCR Method for Bacteria Detection. IEEE Access 8: 99598-99604 (2020) - [j14]Ya Liu, Bing Shi, Dawu Gu, Fengyu Zhao, Wei Li, Zhiqiang Liu:
Improved Meet-in-the-Middle Attacks on Reduced-Round Deoxys-BC-256. Comput. J. 63(12): 1859-1870 (2020) - [c36]Bing Shi, Yikai Luo, Liquan Zhu:
Auction-Based Order-Matching Mechanisms to Maximize Social Welfare in Real-Time Ride-Sharing. DASFAA (1) 2020: 261-269 - [c35]Bing Shi, Xiao Li:
A Game-Theoretical Analysis of Charging Strategies for Competing Double Auction Marketplaces. EUMAS/AT 2020: 100-115 - [c34]Bing Shi, Lianzhen Huang, Rongjian Shi:
Pricing in the Competing Auction-Based Cloud Market: A Multi-agent Deep Deterministic Policy Gradient Approach. ICSOC 2020: 175-186 - [c33]Bing Shi, Rongjian Shi, Bingzhen Li:
Multi-Agent Deep Reinforcement Learning Based Pricing Strategy for Competing Cloud Platforms in the Evolutionary Market. ICWS 2020: 159-167 - [c32]Yang Li, Bing Shi:
A Deep Reinforcement Learning based Mobile Device Task Offloading Algorithm in MEC. ISPA/BDCloud/SocialCom/SustainCom 2020: 200-207
2010 – 2019
- 2019
- [j13]Kokila Harshan Ramanayaka, Xianqiao Chen, Bing Shi:
Application of extent analysis FAHP to determine the relative weights of evaluation indices for library website usability acceptance model. IET Softw. 13(1): 86-95 (2019) - [j12]Chen Yang, Huajing Fang, Bing Shi:
Particle filter with Markovian packet dropout and time delay. J. Frankl. Inst. 356(1): 675-696 (2019) - [j11]Xiaoyong Zhu, Juan Huang, Li Quan, Zixuan Xiang, Bing Shi:
Comprehensive Sensitivity Analysis and Multiobjective Optimization Research of Permanent Magnet Flux-Intensifying Motors. IEEE Trans. Ind. Electron. 66(4): 2613-2627 (2019) - [c31]Xing Liu, Linghao Fu, Wenbi Rao, Xiongmin Lin, Mingxi Liao, Bing Shi:
Multi-Cycle CPU Design With FPGA for Teaching of Computer Organization Principle. ICCSE 2019: 472-477 - [c30]Bing Shi, Bingzhen Li:
Maximizing Profits of Allocating Limited Resources under Stochastic User Demands. ICPADS 2019: 85-92 - [c29]Bing Shi, Liquan Zhu, Yikai Luo:
Reverse Auction Based Incentive Order Matching Mechanism for Real-Time Ride-Sharing. ICTAI 2019: 1303-1310 - [c28]Xing Liu, GuangMing Sheng, Bing Shi, Christophe de Vaulx, Wenbi Rao, Qing Li:
MIPS CPU development with analogous teaching method for experimental teaching of digital logic and computer organization. RACS 2019: 27-33 - 2018
- [j10]Kokila Harshan Ramanayaka, Xianqiao Chen, Bing Shi:
Identifying Relative Weights of Evaluation Indices for Library Website Usability Acceptance Model by Applying the Extent Analysis Fuzzy AHP Approach. Int. J. Web Appl. 10(4): 137-153 (2018) - [j9]Kokila Harshan Ramanayaka, Xianqiao Chen, Bing Shi:
Identifying Dimensions and Their Measuring Items for Library Website Usability Acceptance Model: Instrument Development and Validation. J. Comput. 13(7): 750-760 (2018) - [j8]Bing Shi, Lixin Han, Hong Yan:
Adaptive clustering algorithm based on kNN and density. Pattern Recognit. Lett. 104: 37-44 (2018) - [c27]Bing Shi, Hangxing Zhu, Han Yuan, Rongjian Shi, Jinwen Wang:
Pricing Cloud Resource Based on Reinforcement Learning in the Competing Environment. CLOUD 2018: 158-171 - [c26]Ramanayaka Kokila Harshan, Xianqiao Chen, Bing Shi:
UNSCALE: Multi-criteria Usability Evaluation Framework for Library Websites in a Fuzzy Environment. CSCWD 2018: 235-240 - [c25]Bing Shi, Han Yuan, Rongjian Shi:
Pricing Cloud Resource Based on Multi-Agent Reinforcement Learning in the Competing Environment. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 462-468 - 2017
- [j7]Heng-Ru Zhang, Fan Min, Bing Shi:
Regression-based three-way recommendation. Inf. Sci. 378: 444-461 (2017) - [c24]Bing Shi, Jinwen Wang, Zhaowei Wang, Yalong Huang:
Trading Web Services in a Double Auction-Based Cloud Platform: A Game Theoretic Analysis. SCC 2017: 76-83 - [c23]Bing Shi, Hangxing Zhu, Jinwen Wang, Bin Sun:
Optimize Pricing Policy in Evolutionary Market with Multiple Proactive Competing Cloud Providers. ICTAI 2017: 202-209 - 2016
- [j6]Bing Shi, Enrico H. Gerding, Nicholas R. Jennings:
An equilibrium analysis of trading across multiple double auction marketplaces using fictitious play. Electron. Commer. Res. Appl. 17: 134-149 (2016) - [c22]Bing Shi, Yalong Huang, Jinwen Wang, Shengwu Xiong:
A Game-Theoretic Analysis of Pricing Strategies for Competing Cloud Platforms. ICPADS 2016: 653-660 - [c21]Bing Shi, Yalong Huang, Shengwu Xiong, Enrico H. Gerding:
Setting an Effective Pricing Policy for Double Auction Marketplaces. PRICAI 2016: 457-471 - 2015
- [j5]Liang Dong, Bing Shi, Guangdong Tian, Yanbo Li, Bing Wang, MengChu Zhou:
An Accurate de novo Algorithm for Glycan Topology Determination from Mass Spectra. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 568-578 (2015) - [c20]Heng-Ru Zhang, Fan Min, Dominik Slezak, Bing Shi:
Cost-sensitive regression-based recommender system. ICMLC 2015: 253-258 - 2014
- [c19]Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, Jingren Zhou, Zhengping Qian, Ming Wu, Lidong Zhou:
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing. OSDI 2014: 285-300 - [c18]Bing Shi:
Bidding with Fees and Setting Effective Fees in a Double Auction Marketplace. PRICAI 2014: 640-653 - 2013
- [j4]Bing Shi, Enrico H. Gerding, Perukrishnen Vytelingum, Nicholas R. Jennings:
An equilibrium analysis of market selection strategies and fee strategies in competing double auction marketplaces. Auton. Agents Multi Agent Syst. 26(2): 245-287 (2013) - [c17]Alexander Kleiner, Alessandro Farinelli, Sarvapali D. Ramchurn, Bing Shi, Fabio Maffioletti, Riccardo Reffato:
RMASBench: benchmarking dynamic multi-agent coordination in urban search and rescue. AAMAS 2013: 1195-1196 - [c16]Fabio Maffioletti, Riccardo Reffato, Alessandro Farinelli, Alexander Kleiner, Sarvapali D. Ramchurn, Bing Shi:
RMASBench: a benchmarking system for multi-agent coordination in urban search and rescue. AAMAS 2013: 1383-1384 - [c15]Xiancheng Hou, Bing Shi, Wenjia Niu, Qi Feng, Ying Qi:
An Actor Network-Based Approach to Pirates Community Discovery in Peer-to-Peer Network. BSI@PAKDD/BSIC@IJCAI 2013: 204-213 - [c14]Sarvapali D. Ramchurn, Trung Dong Huynh, Matteo Venanzi, Bing Shi:
Collabmap: crowdsourcing maps for emergency planning. WebSci 2013: 326-335 - 2012
- [c13]Nicolas Bruno, Sameer Agarwal, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou:
Recurring job optimization in scope. SIGMOD Conference 2012: 805-806 - 2011
- [b1]Bing Shi:
Analysis and design of competing double auction marketplaces. University of Southampton, UK, 2011 - [c12]Ruben Stranders, Sarvapali D. Ramchurn, Bing Shi, Nicholas R. Jennings:
CollabMap: Augmenting Maps Using the Wisdom of Crowds. Human Computation 2011 - [c11]Markus Mühling, Ralph Ewerth, Bing Shi, Bernd Freisleben:
Multi-class Object Detection with Hough Forests Using Local Histograms of Visual Words. CAIP (1) 2011: 386-393 - 2010
- [j3]Ming Lu, Bing Shi, Juan Wang, Qun Cao, Qinghua Cui:
TAM: A method for enrichment and depletion analysis of a microRNA category in a list of microRNAs. BMC Bioinform. 11: 419 (2010) - [c10]Bing Shi, Enrico H. Gerding, Perukrishnen Vytelingum, Nicholas R. Jennings:
Setting Fees in Competing Double Auction Marketplaces: An Equilibrium Analysis. AMEC/TADA 2010: 92-108 - [c9]Bing Shi, Enrico H. Gerding, Perukrishnen Vytelingum, Nicholas R. Jennings:
A game-theoretic analysis of market selection strategies for competing double auction marketplaces. AAMAS 2010: 857-864 - [c8]Bing Shi, Enrico H. Gerding, Perukrishnen Vytelingum, Nicholas R. Jennings:
An Equilibrium Analysis of Competing Double Auction Marketplaces Using Fictitious Play. ECAI 2010: 575-580
2000 – 2009
- 2009
- [c7]Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, Bing Shi:
University of Marburg at TRECVID 2009: High-Level Feature Extraction. TRECVID 2009 - 2008
- [j2]Wei Zheng, Dongxiao Li, Bing Shi, Hoang-Son Le, Ming Zhang:
Efficient pipelined CABAC encoding architecture. IEEE Trans. Consumer Electron. 54(2): 681-686 (2008) - [c6]Perukrishnen Vytelingum, Ioannis A. Vetsikas, Bing Shi, Nicholas R. Jennings:
IAMwildCAT: The Winning Strategy for the TAC Market Design Competition. ECAI 2008: 428-432 - [c5]Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, Bing Shi:
University of Marburg at TRECVID 2008: High-Level Feature Extraction. TRECVID 2008 - 2007
- [j1]Sheng-Yong Yang, Ming-Li Xiang, Li-Juan Chen, Guo-Bin Xie, Bing Shi, Yu-Quan Wei, Tom Ziegler:
Free energy profiles for monomer capture in Grubbs- and SHOP-type olefin polymerization catalysts: A constraint ab initio molecular dynamics study. J. Comput. Chem. 28(2): 513-518 (2007) - [c4]Lancang Yang, Bing Shi, Xueqin Zhang, Lei Qiao:
A New Approach to Outlier Detection. International Conference on Computational Science (3) 2007: 615-620 - [c3]Bing Shi, Wei Zheng, Dongxiao Li, Ming Zhang:
Fast Algorithm and Architecture Design for H.264/AVC Multiple Transforms. ICME 2007: 2086-2089 - [c2]Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Christian Zöfel, Bing Shi, Bernd Freisleben:
University of Marburg at TRECVID 2007: Shot Boundary Detection and High Level Feature Extraction. TRECVID 2007 - 2006
- [c1]Bing Shi, XianPing Tao, Jian Lu:
Rewards-based negotiation for providing context information. MPAC 2006: 8
Coauthor Index
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