1 code implementation • 29 Nov 2022 • Xi Jia, Joseph Bartlett, Wei Chen, Siyang Song, Tianyang Zhang, Xinxing Cheng, Wenqi Lu, Zhaowen Qiu, Jinming Duan
Specifically, instead of our Fourier-Net learning to output a full-resolution displacement field in the spatial domain, we learn its low-dimensional representation in a band-limited Fourier domain.
1 code implementation • 7 Aug 2022 • Xi Jia, Joseph Bartlett, Tianyang Zhang, Wenqi Lu, Zhaowen Qiu, Jinming Duan
On the public 3D IXI brain dataset for atlas-based registration, we show that the performance of the vanilla U-Net is already comparable with that of state-of-the-art transformer-based networks (such as TransMorph), and that the proposed LKU-Net outperforms TransMorph by using only 1. 12% of its parameters and 10. 8% of its mult-adds operations.
no code implementations • 30 Jun 2022 • An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian McAuley
In this paper, to further enrich explanations, we propose a new task named personalized showcases, in which we provide both textual and visual information to explain our recommendations.
no code implementations • 25 May 2022 • Tianyang Zhang, Shaoming Zheng, Jun Cheng, Xi Jia, Joseph Bartlett, Xinxing Cheng, Huazhu Fu, Zhaowen Qiu, Jiang Liu, Jinming Duan
It consists of a spatial transformation block followed by an intensity distribution rendering module.
no code implementations • 3 Aug 2021 • Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao
Semantic segmentation has been continuously investigated in the last ten years, and majority of the established technologies are based on supervised models.
no code implementations • 25 Jul 2021 • Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou
To address the above problems, we propose an end-to-end multi-category instance segmentation model, namely Semantic Attention and Scale Complementary Network, which mainly consists of a Semantic Attention (SEA) module and a Scale Complementary Mask Branch (SCMB).
no code implementations • 25 Mar 2021 • Yuzhong Wang, Chaojun Xiao, Shirong Ma, Haoxi Zhong, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun
We propose to simulate judges from different groups with legal judgment prediction (LJP) models and measure the judicial inconsistency with the disagreement of the judgment results given by LJP models trained on different groups.
2 code implementations • ACL 2020 • Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun
Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain.
no code implementations • 15 Jan 2020 • Shaoming Zheng, Tianyang Zhang, Jiawei Zhuang, Hao Wang, Jiang Liu
In this paper, we propose a novel two-stream Meticulous-Processing Network (MP-Net) for tackling this problem.
no code implementations • 27 Nov 2019 • Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun
We present JEC-QA, the largest question answering dataset in the legal domain, collected from the National Judicial Examination of China.
no code implementations • 22 Nov 2019 • Tianyang Zhang, Rui Ma
The cells' nuclei identification task is also kind of image segmentation.
2 code implementations • 20 Nov 2019 • Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Tianyang Zhang, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu
In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Similar Case Matching dataset.
no code implementations • 6 Aug 2019 • Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu
Generative Adversarial Networks (GANs) have the capability of synthesizing images, which have been successfully applied to medical image synthesis tasks.
3 code implementations • 7 Mar 2019 • Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu
In this paper, we propose a context encoder network (referred to as CE-Net) to capture more high-level information and preserve spatial information for 2D medical image segmentation.
Ranked #1 on Optic Disc Segmentation on Messidor
2 code implementations • 9 Nov 2018 • Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang
The whole extraction process is decomposed into a hierarchy of two-level RL policies for relation detection and entity extraction respectively, so that it is more feasible and natural to deal with overlapping relations.
Ranked #2 on Relation Extraction on NYT24
Entity Extraction using GAN Hierarchical Reinforcement Learning +3
6 code implementations • 4 Apr 2017 • Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu
Perception and expression of emotion are key factors to the success of dialogue systems or conversational agents.