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Bing Shi
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2020 – today
- 2024
- [j34]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) - [j33]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) - [j32]Bing Shi
, Longyu Fu, Zhi Cao
, Liquan Zhu:
A second-pricing based incentive-compatible mechanism for matching and pricing in ride-sharing. Expert Syst. Appl. 248: 123377 (2024) - [j31]Bing Shi
, Yiming Wu
:
Task Offloading and Resource Allocation Strategies Among Multiple Edge Servers. IEEE Internet Things J. 11(8): 14647-14656 (2024) - [j30]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) - 2023
- [j29]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) - [c64]Bing Shi, Wenan Tan, Pengfei Yu:
Momentum Contrastive Learning for Sequential Recommendation. CSCWD 2023: 107-112 - [c63]Bing Shi, Fu-Chun Zheng, Changyang She:
Puncturing-Based Resource Allocation for URLLC and eMBB services via Unsupervised Deep Learning. ICC Workshops 2023: 1729-1734 - [c62]Bing Shi, Feiyang Chen:
A Dynamic Pricing Strategy for Load Balancing Across Multiple Edge Servers. ICWS 2023: 329-339 - [c61]Bing Shi, Yan Lu, Zhi Cao:
A Dynamic Pricing Strategy in Divided Regions for Ride-Hailing. PRICAI (2) 2023: 104-110 - [c60]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
- [j28]Bing Shi, Yaping Deng, Han Yuan:
An auction based task dispatching and pricing mechanism in bike-sharing. Knowl. Based Syst. 235: 107631 (2022) - [j27]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) - [j26]Bing Shi
, Fu-Chun Zheng
, Changyang She
, Jingjing Luo
, Alister G. Burr
:
Risk-Resistant Resource Allocation for eMBB and URLLC Coexistence Under M/G/1 Queueing Model. IEEE Trans. Veh. Technol. 71(6): 6279-6290 (2022) - [c59]Bing Shi, Zhi Cao, Yikai Luo:
A Deep Reinforcement Learning Based Dynamic Pricing Algorithm in Ride-Hailing. DASFAA (2) 2022: 489-505 - [c58]Zhuohan Xu, YanPing Yang, Bing Shi:
Joint Optimization of Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System. ICSOC 2022: 422-429 - [c57]Zhuohan Xu, Zeheng Zhong, Bing Shi:
Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System. IJCNN 2022: 1-8 - [c56]Bing Shi, Xizi Huang, Zhi Cao:
An Incentive-Compatible and Efficient Mechanism for Matching and Pricing in Ride-Sharing. KSEM (3) 2022: 191-204 - [c55]Shuai Xu, Zeheng Zhong, Yikai Luo, Bing Shi:
A Vehicle Value Based Ride-Hailing Order Matching and Dispatching Algorithm. KSEM (3) 2022: 289-301 - [c54]Shun Li, Zeheng Zhong, Bing Shi:
Ride-Hailing Order Matching and Vehicle Repositioning Based on Vehicle Value Function. KSEM (2) 2022: 406-416 - [c53]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 - [c52]Bing Shi, Zhaoxiang Song, Xizi Huang, Jianqiao Xu:
User Incentive Based Bike-Sharing Dispatching Strategy. PAKDD (3) 2022: 338-352 - 2021
- [j25]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) - [j24]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) - [c51]Bing Shi, Feiyang Chen, Xing Tang:
Deep Reinforcement Learning Based Task Offloading Strategy Under Dynamic Pricing in Edge Computing. ICSOC 2021: 578-594 - [c50]Yaping Deng, Bing Shi, Han Yuan:
An Auction Based Task Dispatching and Pricing Mechanism in Bike-sharing. IJCNN 2021: 1-8 - [c49]Jing Wang, Aoxue Mei, Xing Tang
, Bing Shi:
Social-Based Link Reliability Prediction Model for CR-VANETs. WASA (1) 2021: 376-388 - 2020
- [j23]Di Wu, Bing Shi, Bin Li, Wenming Wu
:
A Pipeline-Based Oil-Bath PCR Method for Bacteria Detection. IEEE Access 8: 99598-99604 (2020) - [j22]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) - [c48]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 - [c47]Bing Shi, Xiao Li:
A Game-Theoretical Analysis of Charging Strategies for Competing Double Auction Marketplaces. EUMAS/AT 2020: 100-115 - [c46]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 - [c45]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 - [c44]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
- [j21]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) - [j20]Chen Yang, Huajing Fang, Bing Shi:
Particle filter with Markovian packet dropout and time delay. J. Frankl. Inst. 356(1): 675-696 (2019) - [j19]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) - [c43]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 - [c42]Bing Shi, Bingzhen Li:
Maximizing Profits of Allocating Limited Resources under Stochastic User Demands. ICPADS 2019: 85-92 - [c41]Bing Shi, Liquan Zhu, Yikai Luo:
Reverse Auction Based Incentive Order Matching Mechanism for Real-Time Ride-Sharing. ICTAI 2019: 1303-1310 - [c40]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
- [j18]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) - [j17]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) - [j16]Bing Shi
, Lixin Han, Hong Yan:
Adaptive clustering algorithm based on kNN and density. Pattern Recognit. Lett. 104: 37-44 (2018) - [c39]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 - [c38]Ramanayaka Kokila Harshan, Xianqiao Chen, Bing Shi:
UNSCALE: Multi-criteria Usability Evaluation Framework for Library Websites in a Fuzzy Environment. CSCWD 2018: 235-240 - [c37]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
- [j15]Heng-Ru Zhang
, Fan Min
, Bing Shi:
Regression-based three-way recommendation. Inf. Sci. 378: 444-461 (2017) - [c36]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 - [c35]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
- [j14]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) - [c34]Bing Shi, Yalong Huang, Jinwen Wang, Shengwu Xiong
:
A Game-Theoretic Analysis of Pricing Strategies for Competing Cloud Platforms. ICPADS 2016: 653-660 - [c33]Bing Shi, Yalong Huang, Shengwu Xiong
, Enrico H. Gerding
:
Setting an Effective Pricing Policy for Double Auction Marketplaces. PRICAI 2016: 457-471 - 2015
- [j13]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) - [c32]Heng-Ru Zhang, Fan Min
, Dominik Slezak
, Bing Shi:
Cost-sensitive regression-based recommender system. ICMLC 2015: 253-258 - 2014
- [j12]Caleb Serafy, Bing Shi, Ankur Srivastava
:
A geometric approach to chip-scale TSV shield placement for the reduction of TSV coupling in 3D-ICs. Integr. 47(3): 307-317 (2014) - [j11]Bing Shi, Ankur Srivastava
:
Optimized Micro-Channel Design for Stacked 3-D-ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(1): 90-100 (2014) - [j10]Yufu Zhang, Bing Shi, Ankur Srivastava
:
Statistical Framework for Designing On-Chip Thermal Sensing Infrastructure in Nanoscale Systems. IEEE Trans. Very Large Scale Integr. Syst. 22(2): 270-279 (2014) - [c31]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 - [c30]Bing Shi:
Bidding with Fees and Setting Effective Fees in a Double Auction Marketplace. PRICAI 2014: 640-653 - 2013
- [j9]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) - [j8]Bing Shi, Ankur Srivastava:
Micro-Fluidic Cooling for Stacked 3D-ICs: Fundamentals, Modeling and Design. Adv. Comput. 88: 79-124 (2013) - [j7]Bing Shi, Ankur Srivastava
, Avram Bar-Cohen:
Co-design of micro-fluidic heat sink and thermal through-silicon-vias for cooling of three-dimensional integrated circuit. IET Circuits Devices Syst. 7(5): 223-231 (2013) - [j6]Bing Shi, Yufu Zhang, Ankur Srivastava
:
Dynamic Thermal Management Under Soft Thermal Constraints. IEEE Trans. Very Large Scale Integr. Syst. 21(11): 2045-2054 (2013) - [c29]Caleb Serafy, Bing Shi, Ankur Srivastava
, Donald Yeung:
High performance 3D stacked DRAM processor architectures with micro-fluidic cooling. 3DIC 2013: 1-8 - [c28]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 - [c27]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 - [c26]Caleb Serafy, Bing Shi, Ankur Srivastava
:
Geometric approach to chip-scale TSV shield placement for the reduction of TSV coupling in 3D-ICs. ACM Great Lakes Symposium on VLSI 2013: 275-280 - [c25]Bing Shi, Ankur Srivastava
:
Thermal stress aware 3D-IC statistical static timing analysis. ACM Great Lakes Symposium on VLSI 2013: 281-286 - [c24]Bing Shi, Caleb Serafy, Ankur Srivastava
:
Co-optimization of TSV assignment and micro-channel placement for 3D-ICs. ACM Great Lakes Symposium on VLSI 2013: 337-338 - [c23]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 - [c22]Sarvapali D. Ramchurn
, Trung Dong Huynh
, Matteo Venanzi, Bing Shi:
Collabmap: crowdsourcing maps for emergency planning. WebSci 2013: 326-335 - 2012
- [j5]Bing Shi, Yufu Zhang, Ankur Srivastava
:
Accelerating Gate Sizing Using Graphics Processing Units. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(1): 160-164 (2012) - [c21]Bing Shi, Ankur Srivastava
:
TSV-constrained micro-channel infrastructure design for cooling stacked 3D-ICs. ISPD 2012: 113-118 - [c20]Bing Shi, Ankur Srivastava
, Avram Bar-Cohen:
Hybrid 3D-IC Cooling System Using Micro-fluidic Cooling and Thermal TSVs. ISVLSI 2012: 33-38 - [c19]Nicolas Bruno, Sameer Agarwal, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou:
Recurring job optimization in scope. SIGMOD Conference 2012: 805-806 - [r1]Bing Shi, Ankur Srivastava:
Thermal and Power-Aware Task Scheduling and Data Placement for Storage Centric Datacenters. Handbook of Energy-Aware and Green Computing 2012: 169-189 - 2011
- [b1]Bing Shi:
Analysis and design of competing double auction marketplaces. University of Southampton, UK, 2011 - [j4]Bing Shi, Ankur Srivastava
:
Unified datacenter power management considering on-chip and air temperature constraints. Sustain. Comput. Informatics Syst. 1(2): 91-98 (2011) - [c18]Ruben Stranders, Sarvapali D. Ramchurn, Bing Shi, Nicholas R. Jennings:
CollabMap: Augmenting Maps Using the Wisdom of Crowds. Human Computation 2011 - [c17]Bing Shi, Ankur Srivastava
:
Cooling of 3D-IC using non-uniform micro-channels and sensor based dynamic thermal management. Allerton 2011: 1400-1407 - [c16]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 - [c15]Bing Shi, Ankur Srivastava
, Peng Wang:
Non-uniform micro-channel design for stacked 3D-ICs. DAC 2011: 658-663 - [c14]Bing Shi, Ankur Srivastava
:
Liquid cooling for 3D-ICs. IGCC 2011: 1-6 - 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) - [c13]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 - [c12]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 - [c11]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 - [c10]Bing Shi, Ankur Srivastava
:
Thermal and power-aware task scheduling for Hadoop based storage centric datacenters. Green Computing Conference 2010: 73-83 - [c9]Bing Shi, Yufu Zhang, Ankur Srivastava
:
Dynamic thermal management for single and multicore processors under soft thermal constraints. ISLPED 2010: 165-170 - [c8]Yufu Zhang, Bing Shi, Ankur Srivastava
:
A statistical framework for designing on-chip thermal sensing infrastructure in nano-scale systems. ISPD 2010: 169-176
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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