Search Results for author: Tianyang Zhang

Found 16 papers, 7 papers with code

Fourier-Net: Fast Image Registration with Band-limited Deformation

1 code implementation29 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.

Image Registration

U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?

1 code implementation7 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.

Image Registration Long-range modeling +1

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations

no code implementations30 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.

Contrastive Learning

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation

no code implementations3 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.

Pseudo Label Weakly supervised Semantic Segmentation +1

Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images

no code implementations25 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).

Instance Segmentation Semantic Segmentation

Equality before the Law: Legal Judgment Consistency Analysis for Fairness

no code implementations25 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.


How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence

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.

JEC-QA: A Legal-Domain Question Answering Dataset

no code implementations27 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.

Question Answering Reading Comprehension

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

3 code implementations7 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.

Cell Segmentation Image Segmentation +2

A Hierarchical Framework for Relation Extraction with Reinforcement Learning

2 code implementations9 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.

Entity Extraction using GAN Hierarchical Reinforcement Learning +3

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

6 code implementations4 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.

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