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2010 – today
- 2019
[c5]Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola:
Dive into Deep Learning for Natural Language Processing. EMNLP/IJCNLP (2) 2019- [i5]Sheng Zha, Ziheng Jiang, Haibin Lin, Zhi Zhang:
Just-in-Time Dynamic-Batching. CoRR abs/1904.07421 (2019) - [i4]Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li:
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources. CoRR abs/1904.12043 (2019) - [i3]Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR abs/1907.04433 (2019) - [i2]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 J. Smola, Zheng Zhang:
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR abs/1909.01315 (2019) - [i1]Cong Xie, Oluwasanmi Koyejo, Indranil Gupta, Haibin Lin:
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates. CoRR abs/1911.09030 (2019) - 2017
- [c4]Andrew Pavlo, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd C. Mowry, Matthew Perron, Ian Quah, Siddharth Santurkar, Anthony Tomasic, Skye Toor, Dana Van Aken, Ziqi Wang, Yingjun Wu, Ran Xian, Tieying Zhang:
Self-Driving Database Management Systems. CIDR 2017 - 2013
- [c3]Yongwei Miao, Haibin Lin:
Visual Saliency Guided Global and Local Resizing for 3D Models. CAD/Graphics 2013: 212-219 - [c2]Yongwei Miao, Haibin Lin:
3D reconstruction of complex geometric solids from 2D line drawings. SIGGRAPH ASIA Posters 2013: 9 - [c1]Yongwei Miao, Haibin Lin:
Salience-based feature preserving resizing for 3D models. SIGGRAPH ASIA Posters 2013: 13
Coauthor Index
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