1 code implementation • 9 Oct 2021 • Shiyu Huang, Wenze Chen, Longfei Zhang, Shizhen Xu, Ziyang Li, Fengming Zhu, Deheng Ye, Ting Chen, Jun Zhu
To the best of our knowledge, Tikick is the first learning-based AI system that can take over the multi-agent Google Research Football full game, while previous work could either control a single agent or experiment on toy academic scenarios.
1 code implementation • CVPR 2021 • Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu
Despite their appealing flexibility, deep neural networks (DNNs) are vulnerable against adversarial examples.
1 code implementation • 2 Mar 2019 • Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
In this paper, we propose GraphVite, a high-performance CPU-GPU hybrid system for training node embeddings, by co-optimizing the algorithm and the system.
Ranked #1 on Node Classification on YouTube
no code implementations • 2 Jun 2018 • Xing Shi, Shizhen Xu, Kevin Knight
We present a GPU-based Locality Sensitive Hashing (LSH) algorithm to speed up beam search for sequence models.
no code implementations • 11 Dec 2017 • Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing
Recent deep learning (DL) models have moved beyond static network architectures to dynamic ones, handling data where the network structure changes every example, such as sequences of variable lengths, trees, and graphs.
1 code implementation • NeurIPS 2017 • Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing
We study the problem of conditional generative modeling based on designated semantics or structures.
no code implementations • 11 Jun 2017 • Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
We show that Poseidon enables Caffe and TensorFlow to achieve 15. 5x speed-up on 16 single-GPU machines, even with limited bandwidth (10GbE) and the challenging VGG19-22K network for image classification.