no code implementations • 10 Apr 2024 • Chloe Herman, Bridget M. Barker, Thais F. Bartelli, Vidhi Chandra, Rosa Krajmalnik-Brown, Mary Jewell, Le Li, Chen Liao, Florencia McAllister, Khemlal Nirmalkar, Joao B. Xavier, J. Gregory Caporaso
Quantifying the extent of engraftment following an FMT is important in determining if a recipient didn't respond because the engrafted microbiome didn't produce the desired outcomes (a successful FMT, but negative treatment outcome), or the microbiome didn't engraft (an unsuccessful FMT and negative treatment outcome).
1 code implementation • 26 Apr 2022 • Jiale Wei, Qiyuan Chen, Pai Peng, Benjamin Guedj, Le Li
This paper presents REPRINT, a simple and effective hidden-space data augmentation method for imbalanced data classification.
no code implementations • EMNLP 2020 • Rongsheng Zhang, Xiaoxi Mao, Le Li, Lin Jiang, Lin Chen, Zhiwei Hu, Yadong Xi, Changjie Fan, Minlie Huang
In the lyrics generation process, \textit{Youling} supports traditional one pass full-text generation mode as well as an interactive generation mode, which allows users to select the satisfactory sentences from generated candidates conditioned on preceding context.
no code implementations • ACL 2021 • Yadong Xi, Xiaoxi Mao, Le Li, Lei Lin, Yanjiang Chen, Shuhan Yang, Xuhan Chen, Kailun Tao, Zhi Li, Gongzheng li, Lin Jiang, Siyan Liu, Zeng Zhao, Minlie Huang, Changjie Fan, Zhipeng Hu
Equipped with GPT-2 and the latest GPT-3, AI Dungeon has been seen as a famous example of the powerful text generation capabilities of large-scale pre-trained language models, and a possibility for future games.
no code implementations • 29 Feb 2020 • Zhilei Liu, Yunpeng Wu, Le Li, Cuicui Zhang, Baoyuan Wu
This paper proposes a multi-scale feature graph generative adversarial network (MFG-GAN) to implement the face restoration of images in which both degradation modes coexist, and also to repair images with a single type of degradation.
no code implementations • 26 Feb 2020 • Yong Zhang, Le Li, Zhilei Liu, Baoyuan Wu, Yanbo Fan, Zhifeng Li
Most of the existing methods train models for one-versus-one kin relation, which only consider one parent face and one child face by directly using an auto-encoder without any explicit control over the resemblance of the synthesized face to the parent face.
no code implementations • 23 Oct 2019 • Zhilei Liu, Le Li, Yunpeng Wu, Cuicui Zhang
Facial expression analysis in the wild is challenging when the facial image is with low resolution or partial occlusion.
no code implementations • 18 May 2018 • Benjamin Guedj, Le Li
When confronted with massive data streams, summarizing data with dimension reduction methods such as PCA raises theoretical and algorithmic pitfalls.
no code implementations • 1 Feb 2016 • Le Li, Benjamin Guedj, Sébastien Loustau
When faced with high frequency streams of data, clustering raises theoretical and algorithmic pitfalls.
no code implementations • 9 May 2014 • Le Li, Jianjun Yang, Kaili Zhao, Yang Xu, Honggang Zhang, Zhuoyi Fan
Non-negative matrix factorization (NMF) has proved effective in many clustering and classification tasks.
no code implementations • 21 Nov 2013 • Yuzhu Zhou, Le Li, Honggang Zhang
In this paper, we present a region-based pLSA model to accomplish the task of total scene annotation.