A Communication Optimization Scheme for Basis Computation of Krylov Subspace Methods on Multi-GPUs. - Langshi Chen; Serge G. Petiton; Leroy Anthony Drummond; Maxime R. Hugues (VECPAR, 2014)

A TSQR Based Krylov Basis Computation Method on Hybrid GPU Cluster. - Langshi Chen; Serge G. Petiton (CLUSTER, 2015)

Toward Auto-tuned Krylov Basis Computation for Different Sparse Matrix Formats and Interconnects on GPU Clusters. - Langshi Chen; Serge Petition (CLUSTER, 2015)

Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters. - Langshi Chen; Bo Peng 011; Bingjing Zhang; Tony Liu 001; Yiming Zou; Lei Jiang 001; Robert Henschel; Craig A. Stewart; Zhang Zhang; Emily McCallum; Zahniser Tom; Jon Omer; et al. (CLOUD, 2017)

HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency. - Bo Peng 011; Bingjing Zhang; Langshi Chen; Mihai Avram 002; Robert Henschel; Craig A. Stewart; Shaojuan Zhu; Emily McCallum; Lisa Smith; Tom Zahniser; Jon Omer; Judy Qiu (IEEE BigData, 2017)

High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication. - Langshi Chen; Bo Peng 011; Sabra Ossen; Anil Vullikanti; Madhav V. Marathe; Lei Jiang 001; Judy Qiu (TopHPC, 2017)

Performance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture. - Lei Jiang 001; Langshi Chen; Judy Qiu (CoRR, 2017)

Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture. - Lei Jiang 001; Langshi Chen; Judy Qiu (ISPASS, 2018)

Finding and Counting Tree-Like Subgraphs Using MapReduce. - Zhao Zhao; Langshi Chen; Mihai Avram 002; Meng Li; Guanying Wang; Ali Raza Butt; Maleq Khan; Madhav V. Marathe; Judy Qiu; Anil Vullikanti (IEEE Trans. Multi Scale Comput. Syst., 2018)

SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting. - Langshi Chen; Jiayu Li; S. Cenk Sahinalp; Madhav V. Marathe; Anil Vullikanti; Andrey Nikolaev; Egor Smirnov; Ruslan Israfilov; Judy Qiu (IEEE BigData, 2019)

HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency. - Bo Peng 011; Judy Qiu; Langshi Chen; Jiayu Li; Miao Jiang; Selahattin Akkas; Egor Smirnov; Ruslan Israfilov; Sergey Khekhnev; Andrey Nikolaev (CLUSTER, 2019)

A GraphBLAS Approach for Subgraph Counting. - Langshi Chen; Jiayu Li; Ariful Azad; Lei Jiang 001; Madhav V. Marathe; Anil Vullikanti; Andrey Nikolaev; Egor Smirnov; Ruslan Israfilov; Judy Qiu (CoRR, 2019)

SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. - Langshi Chen; Jiayu Li; Ariful Azad; S. Cenk Sahinalp; Madhav V. Marathe; Anil Vullikanti; Andrey Nikolaev; Egor Smirnov; Ruslan Israfilov; Judy Qiu (CoRR, 2020)

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. - Yuanxing Zhang; Langshi Chen; Siran Yang; Man Yuan; Huimin Yi; Jie Zhang 078; Jiamang Wang; Jianbo Dong; Yunlong Xu; Yue Song; Yong Li 020; Di Zhang; et al. (ICDE, 2022)

Whale: Efficient Giant Model Training over Heterogeneous GPUs. - Xianyan Jia; Le Jiang; Ang Wang; Wencong Xiao; Ziji Shi; Jie Zhang 078; Xinyuan Li; Langshi Chen; Yong Li 020; Zhen Zheng; Xiaoyong Liu; Wei Lin 016 (USENIX ATC, 2022)

GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning. - Hanyu Zhao; Zhi Yang 001; Yu Cheng; Chao Tian 001; Shiru Ren; Wencong Xiao; Man Yuan; Langshi Chen; Kaibo Liu; Yang Zhang; Yong Li 020; Wei Lin 016 (Proc. ACM Manag. Data, 2023)