no code implementations • WMT (EMNLP) 2021 • Yimeng Chen, Chang Su, Yingtao Zhang, Yuxia Wang, Xiang Geng, Hao Yang, Shimin Tao, Guo Jiaxin, Wang Minghan, Min Zhang, Yujia Liu, ShuJian Huang
This paper presents our work in WMT 2021 Quality Estimation (QE) Shared Task.
no code implementations • 31 Jan 2025 • Yingtao Zhang, Jialin Zhao, Wenjing Wu, Ziheng Liao, Umberto Michieli, Carlo Vittorio Cannistraci
The Cannistraci-Hebb training (CHT) is a brain-inspired method for growing connectivity in DST.
no code implementations • 31 Jan 2025 • Jialin Zhao, Yingtao Zhang, Carlo Vittorio Cannistraci
The rapid growth of Large Language Models has driven demand for effective model compression techniques to reduce memory and computation costs.
1 code implementation • 3 Jun 2024 • Haokun Lin, Haobo Xu, Yichen Wu, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying WEI
In this paper, we introduce DuQuant, a novel approach that utilizes rotation and permutation transformations to more effectively mitigate both massive and normal outliers.
no code implementations • 24 May 2024 • Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci
The growing computational demands posed by increasingly number of neural network's parameters necessitate low-memory-consumption training approaches.
no code implementations • 19 Dec 2022 • Xiaowen Qiu, Ruize Xu, Boan He, Yingtao Zhang, Wenqiang Zhang, Weifeng Ge
The style removal network removes the original image styles, and the style restoration network recovers image styles in a supervised manner.
no code implementations • 9 Aug 2021 • Minghan Wang, Yuxia Wang, Chang Su, Jiaxin Guo, Yingtao Zhang, Yujia Liu, Min Zhang, Shimin Tao, Xingshan Zeng, Liangyou Li, Hao Yang, Ying Qin
This paper describes our work in participation of the IWSLT-2021 offline speech translation task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
no code implementations • 23 Oct 2019 • Fei Xu, Yingtao Zhang, Min Xian, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang
Then we refine the layers by integrating a non-semantic breast anatomy model to solve the problems of incomplete mammary layers.
no code implementations • 18 Sep 2019 • Kaige Zhang, Yingtao Zhang, Heng-Da Cheng
Fully convolutional network is a powerful tool for per-pixel semantic segmentation/detection.
no code implementations • 14 Sep 2019 • Kuan Huang, Yingtao Zhang, H. D. Cheng, Ping Xing, Boyu Zhang
Due to low cost, portable, no radiation, and high efficiency, breast ultrasound (BUS) imaging is the most popular approach for diagnosing early breast cancer.
no code implementations • 18 Jun 2019 • Fei Xu, Yingtao Zhang, Min Xian, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang
First, we model breast anatomy and decompose breast ultrasound image into layers using Neutro-Connectedness; then utilize the layers to generate the foreground and background maps; and finally propose a novel objective function to estimate the tumor saliency by integrating the foreground map, background map, adaptive center bias, and region-based correlation cues.
no code implementations • 27 Jun 2018 • Fei Xu, Min Xian, Yingtao Zhang, Kuan Huang, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang
Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality.
no code implementations • 9 Jun 2018 • Hongjiao Guan, Yingtao Zhang, H. D. Cheng, Xianglong Tang
BA2 aims to obtain the optimal area under the ROC curve (AUC) by constraining the reject rates of the positive and negative classes respectively.
no code implementations • 13 Feb 2018 • Boyu Zhang, Yingtao Zhang, H. D. Cheng, Min Xian, Shan Gai, Olivia Cheng, Kuan Huang
In this survey paper, we classify the existing methods by their principles and discuss the current research status and point out the future research trend in-depth.
1 code implementation • 9 Jan 2018 • Min Xian, Yingtao Zhang, H. D. Cheng, Fei Xu, Kuan Huang, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang
Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Comput-er-Aided Diagnosis (CAD) systems.
no code implementations • 4 Apr 2017 • Min Xian, Yingtao Zhang, H. D. Cheng, Fei Xu, Boyu Zhang, Jianrui Ding
Breast cancer is one of the leading causes of cancer death among women worldwide.
no code implementations • 19 Dec 2015 • Min Xian, Yingtao Zhang, H. D. Cheng, Fei Xu, Jianrui Ding
Interactive image segmentation is a challenging task and receives increasing attention recently; however, two major drawbacks exist in interactive segmentation approaches.
no code implementations • 24 Aug 2015 • Jianrui Ding, Min Xian, H. D. Cheng, Yang Li, Fei Xu, Yingtao Zhang
And the dynamic features are formed by using the information of its neighbor frames in the sequence.