Accelerating Cost Aggregation for Real-Time Stereo Matching. - Jianbin Fang; Ana Lucia Varbanescu; Jie Shen 003; Henk J. Sips; Gorkem Saygili; Laurens van der Maaten (ICPADS, 2012)

Performance Gaps between OpenMP and OpenCL for Multi-core CPUs. - Jie Shen 003; Jianbin Fang; Henk J. Sips; Ana Lucia Varbanescu (ICPP Workshops, 2012)

Glinda: a framework for accelerating imbalanced applications on heterogeneous platforms. - Jie Shen 003; Ana Lucia Varbanescu; Henk J. Sips; Michael Arntzen; Dick G. Simons (Conf. Computing Frontiers, 2013)

ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels. - Jianbin Fang; Ana Lucia Varbanescu; Jie Shen 003; Henk J. Sips (PDP, 2013)

Performance Traps in OpenCL for CPUs. - Jie Shen 003; Jianbin Fang; Henk J. Sips; Ana Lucia Varbanescu (PDP, 2013)

An application-centric evaluation of OpenCL on multi-core CPUs. - Jie Shen 003; Jianbin Fang; Henk J. Sips; Ana Lucia Varbanescu (Parallel Comput., 2013)

Look before You Leap: Using the Right Hardware Resources to Accelerate Applications. - Jie Shen 003; Ana Lucia Varbanescu; Henk J. Sips (HPCC/CSS/ICESS, 2014)

Improving performance by matching imbalanced workloads with heterogeneous platforms. - Jie Shen 003; Ana Lucia Varbanescu; Peng Zou; Yutong Lu; Henk J. Sips (ICS, 2014)

Improving Application Performance by Efficiently Utilizing Heterogeneous Many-core Platforms. - Jie Shen 003; Ana Lucia Varbanescu; Henk J. Sips (CCGRID, 2015)

Matchmaking Applications and Partitioning Strategies for Efficient Execution on Heterogeneous Platforms. - Jie Shen 003; Ana Lucia Varbanescu; Xavier Martorell; Henk J. Sips (ICPP, 2015)

Efficient High Performance Computing on Heterogeneous Platforms. - Jie Shen 003 (2015)

Heterogeneous computing with accelerators: an overview with examples. - Ana Lucia Varbanescu; Jie Shen 003 (FDL, 2016)

Workload Partitioning for Accelerating Applications on Heterogeneous Platforms. - Jie Shen 003; Ana Lucia Varbanescu; Yutong Lu; Peng Zou; Henk J. Sips (IEEE Trans. Parallel Distributed Syst., 2016)

High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs. - Pingfan Li; Xuhao Chen 001; Jie Shen 003; Jianbin Fang; Tao Tang 001; Canqun Yang (PMAM@PPoPP, 2017)

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators. - Zhen Xu 004; Xuhao Chen 001; Jie Shen 003; Yang Zhang 026; Cheng Chen 005; Canqun Yang (CoRR, 2017)

Moving from exascale to zettascale computing: challenges and techniques. - Xiangke Liao; Kai Lu 001; Canqun Yang; Jin-wen Li; Yuan Yuan 034; Ming-che Lai; Libo Huang; Pingjing Lu; Jianbin Fang; Jing Ren; Jie Shen 003 (Frontiers Inf. Technol. Electron. Eng., 2018)

Orchestrating parallel detection of strongly connected components on GPUs. - Xuhao Chen 001; Cheng Chen 005; Jie Shen 003; Jianbin Fang; Tao Tang 001; Canqun Yang; Zhiying Wang 003 (Parallel Comput., 2018)

Architectural Implications in Graph Processing of Accelerator with Gardenia Benchmark Suite. - Yang Zhang 026; Jie Shen 003; Zhen Xu 004; Shikai Qiu; Xuhao Chen 001 (ISPA/BDCloud/SocialCom/SustainCom, 2019)

GARDENIA: A Graph Processing Benchmark Suite for Next-Generation Accelerators. - Zhen Xu 004; Xuhao Chen 001; Jie Shen 003; Yang Zhang 026; Cheng Chen 005; Canqun Yang (ACM J. Emerg. Technol. Comput. Syst., 2019)

A Noc Centric Low Overhead Multi-chip Interconnection Technology. - Xing Hu; Yang Zhang 026; Li Mao; Jie Shen 003; Zuocheng Xing (HPCC/DSS/SmartCity/DependSys, 2021)

Optimizing Fast Trigonometric Functions on Modern CPUs. - Jie Shen 003; Biao Long; Chun Huang (HPCC/DSS/SmartCity/DependSys, 2022)

A Quantitative Evaluation of Vector Transcendental Functions on ARMv8-Based Processors. - Jie Shen 003; Biao Long; Chun Huang (J. Comput. Sci. Technol., 2023)

An empirical study of error-free transformations for enhancing mathematical function precision. - Dongting Chen; Jie Shen 003; Chun Huang; Xin Yi (CCF Trans. High Perform. Comput., 2025)