Memory Debugging of MPI-Parallel Applications in Open MPI. - Rainer Keller; Shiqing Fan; Michael M. Resch (PARCO, 2007)

Enhanced Memory debugging of MPI-parallel Applications in Open MPI. - Shiqing Fan; Rainer Keller; Michael M. Resch (Parallel Tools Workshop, 2008)

Advanced Memory Checking Frameworks for MPI Parallel Applications in Open MPI. - Shiqing Fan; Rainer Keller; Michael M. Resch (Parallel Tools Workshop, 2011)

PINstruct - Efficient Memory Access to Data Structures. - Rainer Keller; Shiqing Fan (Facing the Multicore-Challenge, 2012)

Advanced Memory Checking for MPI Parallel Applications Using MemPin. - Shiqing Fan; Rainer Keller; Michael M. Resch (Parallel Tools Workshop, 2012)

MPI-semantic memory checking tools for parallel applications. - Shiqing Fan (2013)

iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. - Zhaokang Wang; Shiqing Fan; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (ICA3PP (4), 2015)

MIKELANGELO: MIcro KErneL virtualizAtioN for hiGh pErfOrmance cLOud and HPC Systems. - Nico Struckmann; Yosandra Sandoval; Nadav Har'El; Fang Chen; Shiqing Fan; Justin Cinkelj; Gregor Berginc; Peter Chronz; Niv Gilboa; Gabriel Scalosub; Kalman Z. Meth; John Kennedy (ESOCC Workshops, 2017)

Towards a Lightweight RDMA Para-Virtualization for HPC. - Shiqing Fan; Fang Chen; Holm Rauchfuss; Nadav Har'El; Uwe Schilling; Nico Struckmann (COSH/VisorHPC@HiPEAC, 2017)

Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server. - Rong Gu; Shiqing Fan; Qiu Hu; Chunfeng Yuan; Yihua Huang 001 (ICPADS, 2018)

Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads. - Siyu Wang; Yi Rong; Shiqing Fan; Zhen Zheng; Lansong Diao; Guoping Long; Jun Yang 052; Xiaoyong Liu; Wei Lin 016 (CoRR, 2020)

An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks. - Shiqing Fan; Liying Liu; Ye Luo (ICCDA, 2021)

Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks. - Shiqing Fan; Ye Luo (ICDSP, 2021)

DAPPLE: a pipelined data parallel approach for training large models. - Shiqing Fan; Yi Rong; Chen Meng; Zongyan Cao; Siyu Wang; Zhen Zheng; Chuan Wu 001; Guoping Long; Jun Yang 052; Lixue Xia; Lansong Diao; Xiaoyong Liu; et al. (PPoPP, 2021)

Min-Max-Plus Neural Networks. - Ye Luo; Shiqing Fan (CoRR, 2021)

An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks. - Shiqing Fan; Ye Luo (CoRR, 2021)

Efficient Pipeline Planning for Expedited Distributed DNN Training. - Ziyue Luo; Xiaodong Yi 001; Guoping Long; Shiqing Fan; Chuan Wu 001; Jun Yang 052; Wei Lin 016 (INFOCOM, 2022)

A Model-based System Engineering Plugin for Safety Architecture Pattern Synthesis. - Yuri Gil Dantas; Tiziano Munaro; Carmen Cârlan; Vivek Nigam; Simon Barner; Shiqing Fan; Alexander Pretschner; Ulrich Schöpp; Sergey Tverdyshev (MODELSWARD, 2022)

Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion. - Xiaodong Yi 001; Shiwei Zhang 002; Lansong Diao; Chuan Wu 001; Zhen Zheng; Shiqing Fan; Siyu Wang; Jun Yang 052; Wei Lin 016 (IEEE Trans. Parallel Distributed Syst., 2022)

RDMA-Based Deterministic Communication Architecture for Autonomous Driving. - Hazem Abaza; Abhinaba Habishyashi; Debayan Roy; Andrea Bastoni; Zain Alabedin Haj Hammadeh; Shiqing Fan; Selma Saidi; Sergey Tverdyshev (RTCSA, 2023)

A Toolchain for Synthesizing and Validating Safety Architectures. - Yuri Gil Dantas; Tiziano Munaro; Carmen Cârlan; Vivek Nigam; Simon Barner; Shiqing Fan; Alexander Pretschner; Ulrich Schöpp; Sergey Tverdyshev (SN Comput. Sci., 2023)

Trace-Enabled Timing Model Synthesis for ROS2-based Autonomous Applications. - Hazem Abaza; Debayan Roy; Shiqing Fan; Selma Saidi; Antonios Motakis (DATE, 2024)

Upcycling Large Language Models into Mixture of Experts. - Ethan He; Abhinav Khattar; Ryan Prenger; Vijay Korthikanti; Zijie Yan; Tong Liu; Shiqing Fan; Ashwath Aithal; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron Core. - Dennis Liu; Zijie Yan; Xin Yao; Tong Liu; Vijay Korthikanti; Evan Wu; Shiqing Fan; Gao Deng; Hongxiao Bai; Jianbin Chang; Ashwath Aithal; Michael Andersch; et al. (CoRR, 2025)

MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark. - Shiqing Fan; Xichen Ding; Liang Zhang; Linjian Mo (CoRR, 2025)