A software toolkit for visualizing enterprise routing design. - Xin Sun 002; Jinliang Wei; Sanjay G. Rao; Geoffrey G. Xie (SafeConfig, 2011)

Petuum: A Framework for Iterative-Convergent Distributed ML. - Wei Dai 003; Jinliang Wei; Xun Zheng; Jin Kyu Kim; Seunghak Lee; Junming Yin; Qirong Ho; Eric P. Xing (CoRR, 2013)

Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. - Jinliang Wei; Wei Dai 003; Abhimanu Kumar; Xun Zheng; Qirong Ho; Eric P. Xing (CoRR, 2013)

Exploiting iterative-ness for parallel ML computations. - Henggang Cui; Alexey Tumanov; Jinliang Wei; Lianghong Xu; Wei Dai 003; Jesse Haber-Kucharsky; Qirong Ho; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 2014)

Exploiting Bounded Staleness to Speed Up Big Data Analytics. - Henggang Cui; James Cipar; Qirong Ho; Jin Kyu Kim; Seunghak Lee; Abhimanu Kumar; Jinliang Wei; Wei Dai 003; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (USENIX ATC, 2014)

LightLDA: Big Topic Models on Modest Compute Clusters. - Jinhui Yuan; Fei Gao 018; Qirong Ho; Wei Dai 003; Jinliang Wei; Xun Zheng; Eric P. Xing; Tie-Yan Liu; Wei-Ying Ma (CoRR, 2014)

High-Performance Distributed ML at Scale through Parameter Server Consistency Models. - Wei Dai 003; Abhimanu Kumar; Jinliang Wei; Qirong Ho; Garth A. Gibson; Eric P. Xing (AAAI, 2015)

Managed communication and consistency for fast data-parallel iterative analytics. - Jinliang Wei; Wei Dai 003; Aurick Qiao; Qirong Ho; Henggang Cui; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 2015)

LightLDA: Big Topic Models on Modest Computer Clusters. - Jinhui Yuan; Fei Gao 018; Qirong Ho; Wei Dai 003; Jinliang Wei; Xun Zheng; Eric Poe Xing; Tie-Yan Liu; Wei-Ying Ma (WWW, 2015)

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. - Hao Zhang 025; Zhiting Hu; Jinliang Wei; Pengtao Xie; Gunhee Kim; Qirong Ho; Eric P. Xing (CoRR, 2015)

Petuum: A New Platform for Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Wei Dai 003; Jin Kyu Kim; Jinliang Wei; Seunghak Lee; Xun Zheng; Pengtao Xie; Abhimanu Kumar; Yaoliang Yu (IEEE Trans. Big Data, 2015)

Addressing the straggler problem for iterative convergent parallel ML. - Aaron Harlap; Henggang Cui; Wei Dai 003; Jinliang Wei; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 2016)

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. - Hao Zhang 025; Zeyu Zheng; Shizhen Xu; Wei Dai 003; Qirong Ho; Xiaodan Liang; Zhiting Hu; Jinliang Wei; Pengtao Xie; Eric P. Xing (USENIX ATC, 2017)

Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory. - Jinliang Wei; Garth A. Gibson; Phillip B. Gibbons; Eric P. Xing (EuroSys, 2019)

Priority-based Parameter Propagation for Distributed DNN Training. - Anand Jayarajan; Jinliang Wei; Garth Gibson; Alexandra Fedorova; Gennady Pekhimenko (SysML, 2019)

Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads. - John Thorpe; Yifan Qiao; Jonathan Eyolfson; Shen Teng; Guanzhou Hu; Zhihao Jia; Jinliang Wei; Keval Vora; Ravi Netravali; Miryung Kim; Guoqing Harry Xu (OSDI, 2021)

Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models. - Shibo Wang; Jinliang Wei; Amit Sabne; Andy Davis; Berkin Ilbeyi; Blake Hechtman; Dehao Chen; Karthik Srinivasa Murthy; Marcello Maggioni; Qiao Zhang; Sameer Kumar; Tongfei Guo; et al. (ASPLOS (1), 2023)

Improving the Reliability of Wireless Pressure Sensors by Optimizing the Fabrication Process. - Jinliang Wei; Nomin-Erdene Oyunbaatar; Dong-Su Kim; Lei Wang; Yun-Jin Jeong; Dong-Weon Lee (IEEE SENSORS, 2024)