no code implementations • 1 May 2024 • Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos
Optic disc detection improves the sensitivity at 95% specificity from 79. 20% to 85. 70% for glaucoma detection and the Hamming distance from 0. 2470 to 0. 1250 for glaucomatous feature classification.
no code implementations • 23 Feb 2024 • Hui Lin, Zhiheng Ma, Rongrong Ji, YaoWei Wang, Zhou Su, Xiaopeng Hong, Deyu Meng
This paper focuses on semi-supervised crowd counting, where only a small portion of the training data are labeled.
1 code implementation • 8 Jan 2024 • Hui Lin, Zhiheng Ma, Xiaopeng Hong, Qinnan Shangguan, Deyu Meng
The graph is building upon the dissimilarities between patches, modulating the attention in an anti-similarity fashion.
no code implementations • 24 Oct 2023 • Tom Liu, Hui Lin, Aggelos K. Katsaggelos, Adrienne Kline
Coronary angiography remains the gold standard for diagnosis of coronary artery disease, the most common cause of death worldwide.
Ranked #2 on Coronary Artery Segmentation on ARCADE
2 code implementations • 23 Oct 2023 • Hui Lin, Tom Liu, Aggelos Katsaggelos, Adrienne Kline
Coronary angiography continues to serve as the primary method for diagnosing coronary artery disease (CAD), which is the leading global cause of mortality.
Ranked #2 on Stenosis Segmentation on ARCADE
1 code implementation • 7 Aug 2023 • Zhuang Qi, Lei Meng, Zitan Chen, Han Hu, Hui Lin, Xiangxu Meng
To address this issue, this paper presents a cross-silo prototypical calibration method (FedCSPC), which takes additional prototype information from the clients to learn a unified feature space on the server side.
1 code implementation • 1 Aug 2023 • Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen
Recently, the efficient deployment and acceleration of powerful vision transformers (ViTs) on resource-limited edge devices for providing multimedia services have become attractive tasks.
no code implementations • 1 Jul 2023 • Chaojin Qing, Na Yang, Shuhai Tang, Chuangui Rao, Jiafan Wang, Hui Lin
However, multi-path uncertainty corrupts the TS correctness, making OFDM systems suffer from a severe inter-symbol-interference (ISI).
1 code implementation • 11 Nov 2022 • Hao Zheng, Hui Lin, Rong Zhao, Luping Shi
In this paper, we propose a brain-inspired hybrid neural network (HNN) that introduces temporal binding theory originated from neuroscience into ANNs by integrating spike timing dynamics (via spiking neural networks, SNNs) with reconstructive attention (by ANNs).
1 code implementation • 7 Sep 2022 • Hui Lin, Zhiheng Ma, Xiaopeng Hong, YaoWei Wang, Zhou Su
In this paper, we propose a new agency-guided semi-supervised counting approach.
1 code implementation • NAACL 2022 • Yongjie Wang, Chuan Wang, Ruobing Li, Hui Lin
In recent years, pre-trained models have become dominant in most natural language processing (NLP) tasks.
Ranked #1 on Automated Essay Scoring on ASAP
1 code implementation • CVPR 2022 • Hui Lin, Zhiheng Ma, Rongrong Ji, YaoWei Wang, Xiaopeng Hong
Secondly, we design the Local Attention Regularization to supervise the training of LRA by minimizing the deviation among the attention for different feature locations.
no code implementations • 11 Dec 2021 • Hui Lin, Xiaopeng Hong, Yabin Wang
This paper aims to tackle the challenging task of one-shot object counting.
Ranked #10 on Object Counting on FSC147
no code implementations • 4 Jul 2021 • Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, YaoWei Wang, Yihong Gong
Second, we derive a semi-balanced form of Sinkhorn divergence, based on which a Sinkhorn counting loss is designed for measure matching.
no code implementations • 18 May 2020 • Bin Wang, Yan Yin, Hui Lin
We propose attention-based transducer with modification over RNN-T in two aspects.
1 code implementation • ACL 2020 • Yefei Zha, Ruobing Li, Hui Lin
Off-topic spoken response detection, the task aiming at predicting whether a response is off-topic for the corresponding prompt, is important for an automated speaking assessment system.
no code implementations • WS 2019 • Ruobing Li, Chuan Wang, Yefei Zha, Yonghong Yu, Shiman Guo, Qiang Wang, Yang Liu, Hui Lin
In this paper, we describe two systems we developed for the three tracks we have participated in the BEA-2019 GEC Shared Task.
Ranked #17 on Grammatical Error Correction on BEA-2019 (test)
no code implementations • ACL 2019 • Zixuan Ke, Hrishikesh Inamdar, Hui Lin, Vincent Ng
While the vast majority of existing work on automated essay scoring has focused on holistic scoring, researchers have recently begun work on scoring specific dimensions of essay quality.
no code implementations • 30 May 2019 • Hui Lin
Detecting cyber attacks in the network environments used by Internet-of-things (IoT) and preventing them from causing physical perturbations play an important role in delivering dependable services.
Cryptography and Security Networking and Internet Architecture
1 code implementation • 31 Oct 2018 • Yan Yin, Ramon Prieto, Bin Wang, Jianwei Zhou, Yiwei Gu, Yang Liu, Hui Lin
Recent research has shown that attention-based sequence-to-sequence models such as Listen, Attend, and Spell (LAS) yield comparable results to state-of-the-art ASR systems on various tasks.
no code implementations • 13 Jul 2018 • Zhangyu Xiao, Zhijian Ou, Wei Chu, Hui Lin
In this paper, we present an end-to-end automatic speech recognition system, which successfully employs subword units in a hybrid CTC-Attention based system.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 2 Jul 2018 • Zhu Kaili, Chuan Wang, Ruobing Li, Yang Liu, Tianlei Hu, Hui Lin
We treat grammatical error correction (GEC) as a classification problem in this study, where for different types of errors, a target word is identified, and the classifier predicts the correct word form from a set of possible choices.
no code implementations • 7 Oct 2016 • Fan Zhang, Fabio Duarte, Ruixian Ma, Dimitrios Milioris, Hui Lin, Carlo Ratti
In this paper, we propose a robust and parsimonious approach using Deep Convolutional Neural Network (DCNN) to recognize and interpret interior space.
no code implementations • LREC 2014 • Kai Hong, John Conroy, Benoit Favre, Alex Kulesza, Hui Lin, Ani Nenkova
In the period since 2004, many novel sophisticated approaches for generic multi-document summarization have been developed.
no code implementations • NeurIPS 2011 • Stefanie Jegelka, Hui Lin, Jeff A. Bilmes
We are motivated by an application to extract a representative subset of machine learning training data and by the poor empirical performance we observe of the popular minimum norm algorithm.