1 code implementation • 7 May 2024 • DeepSeek-AI, Aixin Liu, Bei Feng, Bin Wang, Bingxuan Wang, Bo Liu, Chenggang Zhao, Chengqi Dengr, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, JianZhong Guo, Jiaqi Ni, Jiashi Li, Jin Chen, Jingyang Yuan, Junjie Qiu, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruizhe Pan, Runxin Xu, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Size Zheng, T. Wang, Tian Pei, Tian Yuan, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaosha Chen, Xiaotao Nie, Xiaowen Sun, Xiaoxiang Wang, Xin Liu, Xin Xie, Xingkai Yu, Xinnan Song, Xinyi Zhou, Xinyu Yang, Xuan Lu, Xuecheng Su, Y. Wu, Y. K. Li, Y. X. Wei, Y. X. Zhu, Yanhong Xu, Yanping Huang, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Li, Yaohui Wang, Yi Zheng, Yichao Zhang, Yiliang Xiong, Yilong Zhao, Ying He, Ying Tang, Yishi Piao, Yixin Dong, Yixuan Tan, Yiyuan Liu, Yongji Wang, Yongqiang Guo, Yuchen Zhu, Yuduan Wang, Yuheng Zou, Yukun Zha, Yunxian Ma, Yuting Yan, Yuxiang You, Yuxuan Liu, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhen Huang, Zhen Zhang, Zhenda Xie, Zhewen Hao, Zhihong Shao, Zhiniu Wen, Zhipeng Xu, Zhongyu Zhang, Zhuoshu Li, Zihan Wang, Zihui Gu, Zilin Li, Ziwei Xie
MLA guarantees efficient inference through significantly compressing the Key-Value (KV) cache into a latent vector, while DeepSeekMoE enables training strong models at an economical cost through sparse computation.
no code implementations • 5 Apr 2024 • Jiong Wu, Shuang Zhou, Li Lin, Xin Wang, Wenxue Tan
Diffeomorphic image registration is a fundamental step in medical image analysis, owing to its capability to ensure the invertibility of transformations and preservation of topology.
1 code implementation • 18 Jun 2023 • Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
In this paper, we base on the phenomenon and propose a general and novel research problem of generalized graph anomaly detection that aims to effectively identify anomalies on both the training-domain graph and unseen testing graph to eliminate potential dangers.
no code implementations • 29 Mar 2023 • Pan Xiao, Peijie Qiu, Sungmin Ha, Abdalla Bani, Shuang Zhou, Aristeidis Sotiras
Several variants of variational autoencoders (VAEs) have been proposed to learn compact data representations by encoding high-dimensional data in a lower dimensional space.
no code implementations • 7 Oct 2022 • Japinder Nijjer, Mrityunjay Kothari, Changhao Li, Thomas Henzel, Qiuting Zhang, Jung-Shen B. Tai, Shuang Zhou, Sulin Zhang, Tal Cohen, Jing Yan
Active nematics are the nonequilibrium analog of passive liquid crystals in which anisotropic units consume free energy to drive emergent behavior.
1 code implementation • 21 Sep 2022 • Shuang Zhou, Xiao Huang, Ninghao Liu, Fu-Lai Chung, Long-Kai Huang
In this paper, we base on the phenomenon and propose a general and novel research problem of generalized graph anomaly detection that aims to effectively identify anomalies on both the training-domain graph and unseen testing graph to eliminate potential dangers.
1 code implementation • SIAM International Conference on Data Mining 2022 • Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung
Network anomaly detection is a crucial task since a few anomalies can cause huge losses.
1 code implementation • Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021 • Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung
It aims to detect nodes that significantly deviate from their corresponding background.
no code implementations • 28 Dec 2020 • Yiming Wang, Lingchao Guo, Zhaoming Lu, Xiangming Wen, Shuang Zhou, Wanyu Meng
To reconstruct 3D poses of people who move throughout the space rather than a fixed point, we fuse the amplitude and phase into Channel State Information (CSI) images which can provide both pose and position information.
no code implementations • 22 Dec 2020 • Shuang Zhou, Lingchao Guo, Zhaoming Lu, Xiangming Wen, Wei Zheng, Yiming Wang
Existing papers achieve good results when constructing the images of subjects who are in the prior training samples.
no code implementations • 23 Oct 2020 • Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David Dunson, Debdeep Pati
More recently, transformation-based models have been used in variational inference (VI) to construct flexible implicit families of variational distributions.
1 code implementation • EMNLP (ClinicalNLP) 2020 • Xiang Yue, Shuang Zhou
De-identification is the task of identifying protected health information (PHI) in the clinical text.
no code implementations • 21 Sep 2020 • Lingchao Guo, Zhaoming Lu, Shuang Zhou, Xiangming Wen, Zhihong He
The proposed approach can capture fine-grained human pose figures even through a wall and track detailed respiration status simultaneously by off-the-shelf WiFi devices.
no code implementations • 3 Jan 2019 • Kyle B. Westfall, Michele Cappellari, Matthew A. Bershady, Kevin Bundy, Francesco Belfiore, Xihan Ji, David R. Law, Adam Schaefer, Shravan Shetty, Christy A. Tremonti, Renbin Yan, Brett H. Andrews, Joel R. Brownstein, Brian Cherinka, Lodovico Coccato, Niv Drory, Claudia Maraston, Taniya Parikh, José R. Sánchez-Gallego, Daniel Thomas, Anne-Marie Weijmans, Jorge Barrera-Ballesteros, Cheng Du, Daniel Goddard, Niu Li, Karen Masters, Héctor Javier Ibarra Medel, Sebastián F. Sánchez, Meng Yang, Zheng Zheng, Shuang Zhou
We summarize assessments of the precision and accuracy of our measurements as a function of signal-to-noise and other salient metrics, noting that additional analysis and discussion of emission-line diagnostics are provided in our companion paper, Belfiore et al.
Astrophysics of Galaxies
1 code implementation • 17 Aug 2018 • Shuang Zhou, P. Giuliani, J. Piekarewicz, Anirban Bhattacharya, Debdeep Pati
We have shown the impact of the physical constraints imposed on the form factor and of the range of experimental data used.
Nuclear Theory Nuclear Experiment Applications
no code implementations • 15 Aug 2018 • Liyuan Jiang, Shuang Zhou, Keren Li, Fangfang Wang, Jie Yang
We develop a new nonparametric approach for estimating the risk-neutral density of asset prices and reformulate its estimation into a double-constrained optimization problem.
no code implementations • 26 Jan 2017 • Shuang Zhou, Debdeep Pati, Anirban Bhattacharya, David Dunson
In this article, we study rates of posterior contraction in univariate density estimation for a class of non-linear latent variable models where unobserved U(0, 1) latent variables are related to the response variables via a random non-linear regression with an additive error.
Statistics Theory Statistics Theory