1 code implementation • 10 Jan 2022 • Qing Wang, Jia Zhu, Hongji Shu, Kwame Omono Asamoah, Jianyang Shi, Cong Zhou
Large-scale pre-trained models have brought a new trend to this problem.
no code implementations • 11 Sep 2021 • Zezhong Wang, Hongru Wang, Kwan Wai Chung, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong
To tackle this problem, we propose an effective similarity-based method to select data from the source domains.
no code implementations • 30 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.
no code implementations • SEMEVAL 2020 • Hongru Wang, Xiangru Tang, Sunny Lai, Kwong Sak Leung, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong
This paper describes our system submitted to task 4 of SemEval 2020: Commonsense Validation and Explanation (ComVE) which consists of three sub-tasks.
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.
Ranked #1 on Virtual Try-on on Deep-Fashion
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.
no code implementations • COLING 2018 • Min Yang, Qiang Qu, Ying Shen, Qiao Liu, Wei Zhao, Jia Zhu
Review text has been widely studied in traditional tasks such as sentiment analysis and aspect extraction.
1 code implementation • 7 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.
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.
1 code implementation • 26 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.
Ranked #5 on Text Summarization on CNN / Daily Mail (Anonymized)
Abstractive Text Summarization Generative Adversarial Network +2
no code implementations • COLING 2016 • Shichao Dong, Gabriel Pui Cheong Fung, Binyang Li, Baolin Peng, Ming Liao, Jia Zhu, Kam-Fai Wong
We present a system called ACE for Automatic Colloquialism and Errors detection for written Chinese.