Lingxiao Luo a Shanghai-based knitwear designer and researcher. After graduation from the Royal College of Art with the MA degreed of Knitwear Womenswear in 2018 she has worked as a knitwear designer for fashion brands like COMME MOI and NIKE Shanghai.
2020-11-9 · I am Lingxiao Ma () a Researcher in Systems and Networking Research Group of Microsoft Research Asia (MSRA). I obtained Ph.D. in Computer Architecture from Peking University in 2020 under supervision of Prof. Yafei Dai. Before that I obtained B.Sc in Computer Science from Beijing Normal University in 2015.
2021-6-7 · Shijie Cao Lingxiao Ma Wencong Xiao Chen Zhang Yunxin Liu Lintao Zhang Lanshun Nie Zhi Yang IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 19) Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity
2021-7-4 · Boston MA March 2017. Workshops Posters. Accelerating GNN Training with Locality-Aware Partial Execution Taehyun Kim KyoungSoo Park Changho Hwang Peng Cheng Youshan Miao Lingxiao Ma Zhiqi Lin and Yongqiang Xiong In the 12th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys) Virtual Event August 2021 (to be appeared)
Lingxiao Ma Zhi Yang Han Chen Jilong Xue Yafei Dai Garaph Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. USENIX
2021-4-29 · Lingxiao Wang. I am currently a Ph.D. student in Department of Computer Science at the University of California Los Angeles advised by Professor Quanquan Gu.Previously I obtained my MS in Statistics at University of Washington.. My research interests are broadly in machine learning including privacy-preserving machine learning optimization deep learning low-rank matrix recovery high
Lingxiao Luo a Shanghai-based knitwear designer and researcher. After graduation from the Royal College of Art with the MA degreed of Knitwear Womenswear in 2018 she has worked as a knitwear designer for fashion brands like COMME MOI and NIKE Shanghai.
Lingxiao MA of Beijing Normal University Beijing (bnu) Contact Lingxiao MA
2021-6-23 · Lingxiao Ma is this you claim profile. 0 followers Featured Co-authors. Chao Li 89 publications . Minyi Guo 21 publications . Zhi Yang 15 publications . Jingwen Leng 10 publications . Ming Wu 10 publications . Youshan Miao
3 Lingxiao s Reputation Score is (3 ) Below the National Average. Summary Boston MA is where Lingxiao Tang lives today. Mark Thomas Fernando Zubiria and Irene Pratt and many others are family members and associates of Lingxiao. Read Full Summary.
2021-7-13 · Lingxiao Ma and Zhi Yang Peking University Youshan Miao Jilong Xue Ming Wu and Lidong Zhou Microsoft Research Yafei Dai Peking University Abstract Recent deep learning models have moved beyond low dimensional regular grids such as image video and speech to high-dimensional graph-structured data such as social networks e-commerce
2021-7-12 · Zhihui Zhang Jingwen Leng Lingxiao Ma Youshan Miao Chao Li and Minyi Guo. " Architectural Implication of Graph Neural Networks". IEEE
Lingxiao MA of Beijing Normal University Beijing (bnu) Contact Lingxiao MA
2020-12-23 · Ma Dekui and Liang Jian and Kong Xiangwei and He Ran and Li Ying 18th IEEE International Symposium on Multimedia (ISM) Oral 2016. Best Paper Candidate. Two-Step Greedy Subspace Clustering Song Lingxiao and Zhang Man and Sun Zhenan and Liang Jian and He Ran 16th Pacific Rim Conference on Multimedia (PCM) Oral 2015.
Lingxiao Ma Zhi Yang Han Chen Jilong Xue Yafei Dai Garaph Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. USENIX
Lingxiao MA of Beijing Normal University Beijing (bnu) Contact Lingxiao MA
2021-7-19 · Rammer Enabling Holistic Deep Learning Compiler Optimizations with rTasks Lingxiao Ma Zhiqiang Xie Zhi Yang Jilong Xue Youshan Miao Wei Cui Wenxiang Hu Fan Yang Lintao Zhang Lidong Zhou the 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20) 2020 HiveD Sharing a GPU Cluster for Deep Learning with Guarantees
2021-6-6 · Lingxiao Li Paul Zhang Dmitriy Smirnov S Mazdak Abulnaga Justin Solomon In submission Cambridge MA Research Assistant 2019-now Develop geometric techniques for machine learning computer vision and graphics. Stanford Geometry Processing
2021-2-7 · Lingxiao Yang Qiuye Sun Dazhong Ma Qinglai Wei Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy. Neurocomputing 396 216-223 ( 2020 )
2021-4-29 · Lingxiao Wang. I am currently a Ph.D. student in Department of Computer Science at the University of California Los Angeles advised by Professor Quanquan Gu.Previously I obtained my MS in Statistics at University of Washington.. My research interests are broadly in machine learning including privacy-preserving machine learning optimization deep learning low-rank matrix recovery high
2019-8-23 · Shuqi Ma Xiaoguang Guo Lingxiao Zhao Susannah Scott Xinhe Bao Journal of Energy Chemistry 2013 22 1-20. 7. Hong Xu Qiang Fu Xiaoguang Guo Bao Xinhe ChemCatChem 2012 4 1645-1652.
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Lingxiao is a model team member always willing to go above and beyond to satisfy a requester or to help a colleague. I heartily recommend her for any project management and especially localization-centered role. ". "Lingxiao is an extremely capable project manage who I found a pleasure to work with. She is diligent productive and
Lingxiao is a model team member always willing to go above and beyond to satisfy a requester or to help a colleague. I heartily recommend her for any project management and especially localization-centered role. ". "Lingxiao is an extremely capable project manage who I found a pleasure to work with. She is diligent productive and
2020-11-9 · Competition results. Gold prize of Track 1 The team of Qingling Zhu Fei Liu with faculty advisors Qingfu Zhang of City University of Hong Kong.. Silver prize of Track 1 The team of Han Zhang with faculty advisors Xin Yao Qing Li of Southern University of Science and Technology.. Bronze prize of Track 1 The team of Yan zhang Lingxiao Chen and Qingji Ma of Quadtalent Technology.
2021-1-13 · Jinghui Chen Pan Xu Lingxiao Wang Jian Ma and Quanquan Gu in Proc. of the 35th International Conference on Machine Learning (ICML) Stockholm Sweden 2018. Long talk arXiv Continuous and Discrete-Time Accelerated Stochastic Mirror Descent for Strongly Convex Functions
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