World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8943
World Ranking
10513
National Ranking
4402

Research.com Recognitions

  • 2018 - ACM Distinguished Member

Overview

Xipeng Shen is affiliated with North Carolina State University in the United States. Their research primarily spans the field of Computer Science, with a strong focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, and Hardware and Architecture.

The scientist's work covers multiple main topics, such as Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, Software Engineering Research, Software Testing and Debugging Techniques, Cloud Computing and Resource Management, Advanced Graph Neural Networks, and Advanced Image and Video Retrieval Techniques.

Among the recent papers authored or co-authored by Xipeng Shen are:

  • POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression, 2021, published in IEEE Transactions on Parallel and Distributed Systems
  • TADOC: Text analytics directly on compression, 2020, published in The VLDB Journal
  • Exploring Data Analytics Without Decompression on Embedded GPU Systems, 2021, published in IEEE Transactions on Parallel and Distributed Systems
  • Synchronous Regulation of Donor and Acceptor Microstructure using Thiophene-Derived Non-Halogenated Solvent Additives for Efficient and Stable Organic Solar Cells, 2024, published in Advanced Functional Materials
  • Survey: Exploiting Data Redundancy for Optimization of Deep Learning, 2022, published in ACM Computing Surveys

Xipeng Shen frequently collaborates with a number of researchers, which include:

  • Yanzhi Wang
  • Xiaoyong Du
  • Feng Zhang
  • Wei Niu
  • Hsin-Hsuan Sung

The scientist has published extensively in various venues, with notable numbers of publications in:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Software Engineering
  • IEEE Transactions on Computers

Xipeng Shen was recognized as an ACM Distinguished Member in 2018.

Best Publications

  • Learning multi-label scene classification

    Matthew R. Boutell;Jiebo Luo;Xipeng Shen;Christopher M. Brown

  • Locality phase prediction

    Xipeng Shen;Yutao Zhong;Chen Ding

  • Tuning for software analytics

    Wei Fu;Tim Menzies;Xipeng Shen

  • On-the-fly elimination of dynamic irregularities for GPU computing

    Eddy Z. Zhang;Yunlian Jiang;Ziyu Guo;Kai Tian

  • Analysis and approximation of optimal co-scheduling on chip multiprocessors

    Yunlian Jiang;Xipeng Shen;Jie Chen;Rahul Tripathi

  • Software behavior oriented parallelization

    Chen Ding;Xipeng Shen;Kirk Kelsey;Chris Tice

  • Program locality analysis using reuse distance

    Yutao Zhong;Xipeng Shen;Chen Ding

  • Array regrouping and structure splitting using whole-program reference affinity

    Yutao Zhong;Maksim Orlovich;Xipeng Shen;Chen Ding

  • A cross-input adaptive framework for GPU program optimizations

    Yixun Liu;Eddy Z. Zhang;Xipeng Shen

  • Does cache sharing on modern CMP matter to the performance of contemporary multithreaded programs

    Eddy Z. Zhang;Yunlian Jiang;Xipeng Shen

  • Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping

    Eddy Z. Zhang;Yunlian Jiang;Ziyu Guo;Xipeng Shen

  • Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup

    Yufei Ding;Yue Zhao;Xipeng Shen;Madanlal Musuvathi

  • Autotuning algorithmic choice for input sensitivity

    Yufei Ding;Jason Ansel;Kalyan Veeramachaneni;Xipeng Shen

  • Complexity analysis and algorithm design for reorganizing data to minimize non-coalesced memory accesses on GPU

    Bo Wu;Zhijia Zhao;Eddy Zheng Zhang;Yunlian Jiang

  • Is reuse distance applicable to data locality analysis on chip multiprocessors

    Yunlian Jiang;Eddy Z. Zhang;Kai Tian;Xipeng Shen

  • Multilabel machine learning and its application to semantic scene classification

    Xipeng Shen;Matthew R. Boutell;Jiebo Luo;Christopher M. Brown

  • Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations

    Bo Wu;Guoyang Chen;Dong Li;Xipeng Shen

  • EffiSha: A Software Framework for Enabling Effficient Preemptive Scheduling of GPU

    Guoyang Chen;Yue Zhao;Xipeng Shen;Huiyang Zhou

  • Locality approximation using time

    Xipeng Shen;Jonathan Shaw;Brian Meeker;Chen Ding

  • Miss Rate Prediction Across Program Inputs and Cache Configurations

    Y. Zhong;S.G. Dropsho;X. Shen;A. Studer

  • Bridging the gap between deep learning and sparse matrix format selection

    Yue Zhao;Jiajia Li;Chunhua Liao;Xipeng Shen

Frequent Co-Authors

Onur Mutlu
Onur Mutlu ETH Zurich
Bin Ren
Bin Ren Xiamen University
Jeffrey S. Vetter
Jeffrey S. Vetter Oak Ridge National Laboratory
Xiaoyong Du
Xiaoyong Du Renmin University of China
Yanzhi Wang
Yanzhi Wang Northeastern University
Yan Solihin
Yan Solihin University of Central Florida
Wenguang Chen
Wenguang Chen Tsinghua University
Michael L. Scott
Michael L. Scott University of Rochester
Sijia Liu
Sijia Liu Michigan State University
Mitsunori Ogihara
Mitsunori Ogihara University of Miami

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