A Resource Organizing Protocol for Grid Based on Bounded Two-Level Broadcasting Technique. - Zhigang Chen 001; Anfeng Liu; Guoping Long (GCC, 2004)

Design and Implementation of Floating Point Stack on General RISC Architecture. - Xuehai Qian; He Huang; Hao Zhang 009; Guoping Long; Junchao Zhang; Dongrui Fan (PDP, 2007)

A Performance Model of Dense Matrix Operations on Many-Core Architectures. - Guoping Long; Dongrui Fan; Junchao Zhang; Fenglong Song; Nan Yuan; Wei Lin 004 (Euro-Par, 2008)

Location Consistency Model Revisited: Problem, Solution and Prospects. - Guoping Long; Nan Yuan; Dongrui Fan (PDCAT, 2008)

Characterizing and Understanding the Bandwidth Behavior of Workloads on Multi-core Processors. - Guoping Long; Dongrui Fan; Junchao Zhang (Euro-Par, 2009)

Architectural support for cilk computations on many-core architectures. - Guoping Long; Dongrui Fan; Junchao Zhang (PPoPP, 2009)

Godson-T: An Efficient Many-Core Architecture for Parallel Program Executions. - Dongrui Fan; Nan Yuan; Junchao Zhang; Yongbin Zhou; Wei Lin 004; Fenglong Song; Xiaochun Ye; He Huang; Lei Yu 012; Guoping Long; Hao Zhang 009; Lei Liu (J. Comput. Sci. Technol., 2009)

Minimal Multi-threading: Finding and Removing Redundant Instructions in Multi-threaded Processors. - Guoping Long; Diana Franklin; Susmit Biswas; Pablo J. Ortiz; Jason Oberg; Dongrui Fan; Frederic T. Chong (MICRO, 2010)

CRSD: Application Specific Auto-tuning of SpMV for Diagonal Sparse Matrices. - Xiangzheng Sun; Yunquan Zhang; Ting Wang; Guoping Long; Xianyi Zhang; Yan Li 005 (Euro-Par (2), 2011)

Automatic FFT Performance Tuning on OpenCL GPUs. - Yan Li 005; Yunquan Zhang; Haipeng Jia; Guoping Long; Ke Wang (ICPADS, 2011)

GPURoofline: A Model for Guiding Performance Optimizations on GPUs. - Haipeng Jia; Yunquan Zhang; Guoping Long; Jianliang Xu; Shengen Yan; Yan Li 005 (Euro-Par, 2012)

An Insightful Program Performance Tuning Chain for GPU Computing. - Haipeng Jia; Yunquan Zhang; Guoping Long; Shengen Yan (ICA3PP (1), 2012)

Memristors for neural branch prediction: a case study in strict latency and write endurance challenges. - Hebatallah Saadeldeen; Diana Franklin; Guoping Long; Charlotte Hill; Aisha Browne; Dmitri B. Strukov; Timothy Sherwood; Frederic T. Chong (Conf. Computing Frontiers, 2013)

CLSIFT: An Optimization Study of the Scale Invariance Feature Transform on GPUs. - Weiyan Wang; Yunquan Zhang; Guoping Long; Shengen Yan; Haipeng Jia (HPCC/EUC, 2013)

StreamScan: fast scan algorithms for GPUs without global barrier synchronization. - Shengen Yan; Guoping Long; Yunquan Zhang (PPoPP, 2013)

MPFFT: An Auto-Tuning FFT Library for OpenCL GPUs. - Yan Li 005; Yunquan Zhang; Yiqung Liu 005; Guoping Long; Haipeng Jia (J. Comput. Sci. Technol., 2013)

High performance two-dimensional phase unwrapping on GPUs. - Zhenhua Wu; Wenjing Ma; Guoping Long; Yucheng Li 002; Qiuyan Tang; Zhongjie Wang (Conf. Computing Frontiers, 2014)

PE-TLD: Parallel Extended Tracking-Learning-Detection for Multi-target Tracking. - Chenggang Zhou; Qiankun Dong; Wenjing Ma; Guoping Long; Tao Li 022 (ICA3PP (2), 2015)

Detect Similar Mobile Applications with Transfer Learning. - Ning Bu; Lei Yu 012; Wenjing Ma; Changying Du; Shuzi Niu; Guoping Long (SmartCity, 2015)

Listwise Approach for Rank Aggregation in Crowdsourcing. - Shuzi Niu; Yanyan Lan; Jiafeng Guo; Xueqi Cheng; Lei Yu 012; Guoping Long (WSDM, 2015)

Online Bayesian Max-Margin Subspace Multi-View Learning. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (IJCAI, 2016)

Online variational Bayesian Support Vector Regression. - Siqi Deng; Kan Gao; Changying Du; Wenjing Ma; Guoping Long; Yucheng Li 002 (IJCNN, 2016)

GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring. - Wenjing Ma; Liangliang Cao; Lei Yu 012; Guoping Long; Yucheng Li 002 (ICMR, 2016)

Bayesian Group Feature Selection for Support Vector Learning Machines. - Changde Du; Changying Du; Shandian Zhe; Ali Luo; Qing He 003; Guoping Long (PAKDD (1), 2016)

Efficient Bayesian Maximum Margin Multiple Kernel Learning. - Changying Du; Changde Du; Guoping Long; Xin Jin 004; Yucheng Li 002 (ECML/PKDD (1), 2016)

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. - Changying Du; Fuzhen Zhuang; Jia He 001; Qing He 003; Guoping Long (ECML/PKDD (1), 2016)

Online Bayesian Multiple Kernel Bipartite Ranking. - Changying Du; Changde Du; Guoping Long; Qing He 003; Yucheng Li 002 (UAI, 2016)

Bridging Semantic Gap Between App Names: Collective Matrix Factorization for Similar Mobile App Recommendation. - Ning Bu; Shuzi Niu; Lei Yu 012; Wenjing Ma; Guoping Long (WISE (2), 2016)

Highly Optimized Code Generation for Stencil Codes with Computation Reuse for GPUs. - Wenjing Ma; Kan Gao; Guoping Long (J. Comput. Sci. Technol., 2016)

A Conditional Variational Framework for Dialog Generation. - Xiaoyu Shen 001; Hui Su; Yanran Li; Wenjie Li 002; Shuzi Niu; Yang Zhao; Akiko Aizawa; Guoping Long (ACL (2), 2017)

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. - Jia He 001; Changying Du; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (IJCAI, 2017)

FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs. - Guoping Long; Jun Yang 052; Kai Zhu; Wei Lin 016 (CoRR, 2018)

Characterizing Deep Learning Training Workloads on Alibaba-PAI. - Mengdi Wang; Chen Meng; Guoping Long; Chuan Wu 001; Jun Yang 052; Wei Lin 016; Yangqing Jia (IISWC, 2019)

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. - Changying Du; Jia He 001; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (CoRR, 2019)

FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads. - Guoping Long; Jun Yang 052; Wei Lin 016 (CoRR, 2019)

Optimizing distributed training deployment in heterogeneous GPU clusters. - Xiaodong Yi 001; Shiwei Zhang 002; Ziyue Luo; Guoping Long; Lansong Diao; Chuan Wu 001; Zhen Zheng; Jun Yang 052; Wei Lin 016 (CoNEXT, 2020)

Fast Training of Deep Learning Models over Multiple GPUs. - Xiaodong Yi 001; Ziyue Luo; Chen Meng; Mengdi Wang; Guoping Long; Chuan Wu 001; Jun Yang 052; Wei Lin 016 (Middleware, 2020)

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)

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads. - Zhen Zheng; Pengzhan Zhao; Guoping Long; Feiwen Zhu; Kai Zhu; Wenyi Zhao; Lansong Diao; Jun Yang 052; Wei Lin 016 (CoRR, 2020)

Online Bayesian max-margin subspace learning for multi-view classification and regression. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (Mach. Learn., 2020)

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)

AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures. - Zhen Zheng; Xuanda Yang; Pengzhan Zhao; Guoping Long; Kai Zhu; Feiwen Zhu; Wenyi Zhao; Xiaoyong Liu; Jun Yang 052; Jidong Zhai; Shuaiwen Leon Song; Wei Lin 016 (ASPLOS, 2022)

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)

Tackling the Dynamicity in a Production LLM Serving System with SOTA Optimizations via Hybrid Prefill/Decode/Verify Scheduling on Efficient Meta-kernels. - Mingcong Song; Xinru Tang; Fengfan Hou; Jing Li; Wei Wei; Yipeng Ma; Runqiu Xiao; Hongjie Si; Dingcheng Jiang; Shouyi Yin; Yang Hu 001; Guoping Long (CoRR, 2024)