Search Results for author: Jia Zhu

Found 11 papers, 3 papers with code

GUDN A novel guide network for extreme multi-label text classification

1 code implementation10 Jan 2022 Qing Wang, Hongji Shu, Jia Zhu

The problem of extreme multi-label text classification (XMTC) is to recall some most relevant labels for a text from an extremely large label set.

Multi Label Text Classification Multi-Label Text Classification +1

RRScell method for automated single-cell profiling of multiplexed immunofluorescence cancer tissue

no code implementations30 Oct 2020 Alvason Zhenhua Li, Karsten Eichholz, Anton Sholukh, Daniel Stone, Michelle A. Loprieno, Keith R. Jerome, Khamsone Phasouk, Kurt Diem, Jia Zhu, Lawrence Corey

Multiplexed immuno-fluorescence tissue imaging, allowing simultaneous detection of molecular properties of cells, is an essential tool for characterizing the complex cellular mechanisms in translational research and clinical practice.

Dimensionality Reduction

Towards Multi-pose Guided Virtual Try-on Network

no code implementations ICCV 2019 Haoye Dong, Xiaodan Liang, Bochao Wang, Hanjiang Lai, Jia Zhu, Jian Yin

Given an input person image, a desired clothes image, and a desired pose, the proposed Multi-pose Guided Virtual Try-on Network (MG-VTON) can generate a new person image after fitting the desired clothes into the input image and manipulating human poses.

Fashion Synthesis Human Parsing +2

Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis

no code implementations NeurIPS 2018 Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin

Despite remarkable advances in image synthesis research, existing works often fail in manipulating images under the context of large geometric transformations.

Image Generation

GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding

1 code implementation7 Mar 2018 Wenyu Du, Shuai Yu, Min Yang, Qiang Qu, Jia Zhu

Finally, we concatenate the projective vectors from bipartite subnetworks with the ones learned from homogeneous subnetworks to form the final representation of the heterogeneous network.

General Classification Network Embedding +1

NLPTEA 2017 Shared Task -- Chinese Spelling Check

no code implementations WS 2017 Gabriel Fung, Maxime Debosschere, Dingmin Wang, Bo Li, Jia Zhu, Kam-Fai Wong

This paper provides an overview along with our findings of the Chinese Spelling Check shared task at NLPTEA 2017.

Generative Adversarial Network for Abstractive Text Summarization

1 code implementation26 Nov 2017 Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li

In this paper, we propose an adversarial process for abstractive text summarization, in which we simultaneously train a generative model G and a discriminative model D. In particular, we build the generator G as an agent of reinforcement learning, which takes the raw text as input and predicts the abstractive summarization.

Abstractive Text Summarization reinforcement-learning

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