6 citations · 22 across the 8 of their papers we have counts for
8 papers
ZeQR: Zero-shot Query Reformulation for Conversational Search
Dayu Yang, Yue Zhang, Hui Fang
As the popularity of voice assistants continues to surge, conversational search has gained increased attention in Information Retrieval. However, data sparsity issues in conversati…
Mixed-initiative Query Rewriting in Conversational Passage Retrieval
Dayu Yang, Yue Zhang, Hui Fang
In this paper, we report our methods and experiments for the TREC Conversational Assistance Track (CAsT) 2022. In this work, we aim to reproduce multi-stage retrieval pipelines and…
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation
Yuqi Chen, Xiangbin Zhu, Yonggang Li +2
Unsupervised domain adaptation uses source data from different distributions to solve the problem of classifying data from unlabeled target domains. However, conventional methods r…
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging
Zi Wang, Haoming Fang, Chen Qian +8
Magnetic resonance imaging (MRI) is an essential diagnostic tool that suffers from prolonged scan time. To alleviate this limitation, advanced fast MRI technology attracts extensiv…
Multi-organ Segmentation Network with Adversarial Performance Validator
Haoyu Fang, Yi Fang, Xiaofeng Yang
CT organ segmentation on computed tomography (CT) images becomes a significant brick for modern medical image analysis, supporting clinic workflows in multiple domains. Previous se…
Deep Open Set Identification for RF Devices
Qing Wang, Qing Liu, Zihao Zhang +2
Artificial intelligence (AI) based device identification improves the security of the internet of things (IoT), and accelerates the authentication process. However, existing approa…
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
Wei-Ting Chen, Cheng-Che Tsai, Hao-Yu Fang +3
Images acquired from rainy scenes usually suffer from bad visibility which may damage the performance of computer vision applications. The rainy scenarios can be categorized into t…
ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
Haoyu Fang, Jing Zhu, Yi Fang
Lane segmentation is a challenging issue in autonomous driving system designing because lane marks show weak textural consistency due to occlusion or extreme illumination but stron…