Z
Zhipeng Tang
Researcher at Central South University
Publications - 7
Citations - 112
Zhipeng Tang is an academic researcher from Central South University. The author has contributed to research in topics: Simulated annealing & Computer science. The author has an hindex of 4, co-authored 5 publications receiving 86 citations. Previous affiliations of Zhipeng Tang include University of Massachusetts Amherst.
Papers
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Social-Aware Data Collection Scheme Through Opportunistic Communication in Vehicular Mobile Networks
TL;DR: The concept of priority is introduced to the SWDCP-SCmules scheme, and the simulated annealing for priority assignment SA-PA algorithm is proposed to guide the priority assignment to quantify the value of data and find a well-performed selection strategy.
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Preserving Smart Sink-Location Privacy with Delay Guaranteed Routing Scheme for WSNs
TL;DR: The experimental results indicate that the performance of the SRCRR scheme is better than that of the previous schemes.
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A Trust-Based Model for Security Cooperating in Vehicular Cloud Computing
TL;DR: A trust-based model for security cooperating, named DBTEC, is proposed to promote vehicles’ security cooperation in VCC and improves the overall cooperation completion rates by 6~7%.
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Nonuniform Neighborhood Sampling Based Simulated Annealing for the Directed Feedback Vertex Set Problem
TL;DR: An improved variant of the SA-FVSP is proposed by applying the nonuniform neighborhood sampling (NNS) by utilizing the known heuristic rules of the FVSP to estimate and score the quality of neighbors, while the sampling function converts the scores computed by the priority function to sampling probabilities, which can direct the NNS process.
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A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker,Alexander New,Mario Aguilar-Simon,Ziad Al-Halah,Sébastien M. R. Arnold,E. Ben-Iwhiwhu,Andrew Brna,Ethan Brooks,Ryan C. Brown,Zachary A. Daniels,Anurag Reddy Daram,Fabien Delattre,Ryan Dellana,Eric R. Eaton,Haotian Fu,Kristen Grauman,Jesse Hostetler,Shariq Iqbal,Cassandra Kent,Nicholas A. Ketz,Soheil Kolouri,George Konidaris,Dhireesha Kudithipudi,Erik Learned-Miller,Seungwon Lee,Michael L. Littman,Sandeep Madireddy,Jorge A. Mendez,Eric Q. Nguyen,Christine D. Piatko,Praveen K. Pilly,Aswin Raghavan,Abrar Rahman,Santhosh K. Ramakrishnan,Neale Ratzlaff,Andrea Soltoggio,Peter Stone,Indranil Sur,Zhipeng Tang,Saket Tiwari,Kyle Vedder,Felix Wang,Zifan Xu,Angel Yanguas-Gil,Harel Yedidsion,Shangqun Yu,Gautam K. Vallabha +46 more
TL;DR: In this paper , a suite of metrics and an evaluation framework is proposed to assess Lifelong Learning in a principled way that is agnostic to specific domains or system techniques and can inform the development of varied and complex learning systems.