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Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity


Apr 13, 2021
Minjie Wang, Genevera I. Allen


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DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs


Oct 16, 2020
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis


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FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems


Sep 29, 2020
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang

* SC'20; changed all figures to type 1 

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Supervised Convex Clustering


May 25, 2020
Minjie Wang, Tianyi Yao, Genevera I. Allen


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Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data


Dec 11, 2019
Minjie Wang, Genevera I. Allen


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Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs


Sep 03, 2019
Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander Smola, Zheng Zhang


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Learned Indexes for Dynamic Workloads


Feb 02, 2019
Chuzhe Tang, Zhiyuan Dong, Minjie Wang, Zhaoguo Wang, Haibo Chen


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Supporting Very Large Models using Automatic Dataflow Graph Partitioning


Jul 24, 2018
Minjie Wang, Chien-chin Huang, Jinyang Li


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Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling


May 10, 2018
Minjie Wang, Chien-chin Huang, Jinyang Li


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MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems


Dec 03, 2015
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang

* In Neural Information Processing Systems, Workshop on Machine Learning Systems, 2016 

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