Search Results for author: Ye Zhang

Found 19 papers, 5 papers with code

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

no code implementations11 Mar 2023 Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Aviles-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P S, Densen Puthussery, Devika R G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Vi Thi-Tuong Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David Snead, Shan E Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome.

Nuclear Segmentation Survival Analysis +1

A Novel Speech Feature Fusion Algorithm for Text-Independent Speaker Recognition

no code implementations1 Dec 2022 Biao Ma, Chengben Xu, Ye Zhang

To estimate the IFCs, the TD and the FD features of the speaker's speech are concatenated to build the TD and the FD feature matrix, respectively.

Speaker Recognition Text-Independent Speaker Recognition

A new Speech Feature Fusion method with cross gate parallel CNN for Speaker Recognition

no code implementations24 Nov 2022 Jiacheng Zhang, Wenyi Yan, Ye Zhang

In this paper, a new speech feature fusion method is proposed for speaker recognition on the basis of the cross gate parallel convolutional neural network (CG-PCNN).

Speaker Recognition

N-Grammer: Augmenting Transformers with latent n-grams

2 code implementations13 Jul 2022 Aurko Roy, Rohan Anil, Guangda Lai, Benjamin Lee, Jeffrey Zhao, Shuyuan Zhang, Shibo Wang, Ye Zhang, Shen Wu, Rigel Swavely, Tao, Yu, Phuong Dao, Christopher Fifty, Zhifeng Chen, Yonghui Wu

Transformer models have recently emerged as one of the foundational models in natural language processing, and as a byproduct, there is significant recent interest and investment in scaling these models.

Common Sense Reasoning Coreference Resolution +5

Estimating Adsorption Isotherm Parameters in Chromatography via a Virtual Injection Promoting Feed-forward Neural Network

no code implementations31 Jan 2021 Chen Xu, Ye Zhang

The means to obtain the adsorption isotherms is a fundamental open problem in competitive chromatography.

Graph-Based Asynchronous Event Processing for Rapid Object Recognition

no code implementations ICCV 2021 Yijin Li, Han Zhou, Bangbang Yang, Ye Zhang, Zhaopeng Cui, Hujun Bao, Guofeng Zhang

Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightness changes.

graph construction Object Recognition

Discrimination in the Venture Capital Industry: Evidence from Field Experiments

no code implementations30 Oct 2020 Ye Zhang

Investors implicitly discriminate against female and Asian founders when evaluating attractive startups, but they favor female and Asian founders when evaluating struggling startups.

Do Human Rationales Improve Machine Explanations?

no code implementations WS 2019 Julia Strout, Ye Zhang, Raymond J. Mooney

Work on "learning with rationales" shows that humans providing explanations to a machine learning system can improve the system's predictive accuracy.

BIG-bench Machine Learning General Classification +2

AceKG: A Large-scale Knowledge Graph for Academic Data Mining

no code implementations23 Jul 2018 Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Wei-Nan Zhang, Xinbing Wang

Most existing knowledge graphs (KGs) in academic domains suffer from problems of insufficient multi-relational information, name ambiguity and improper data format for large-scale machine processing.

Community Detection Entity Alignment +3

SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation

no code implementations NAACL 2018 Ye Zhang, Nan Ding, Radu Soricut

Supervised training of abstractive language generation models results in learning conditional probabilities over language sequences based on the supervised training signal.

Text Generation

Neural Information Retrieval: A Literature Review

no code implementations18 Nov 2016 Ye Zhang, Md Mustafizur Rahman, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Matthew Lease

A recent "third wave" of Neural Network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing.

Information Retrieval Retrieval +2

Active Discriminative Text Representation Learning

1 code implementation14 Jun 2016 Ye Zhang, Matthew Lease, Byron C. Wallace

We also show that, as expected, the method quickly learns discriminative word embeddings.

Active Learning Document Classification +4

Rationale-Augmented Convolutional Neural Networks for Text Classification

2 code implementations EMNLP 2016 Ye Zhang, Iain Marshall, Byron C. Wallace

We present a new Convolutional Neural Network (CNN) model for text classification that jointly exploits labels on documents and their component sentences.

General Classification text-classification +1

MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification

no code implementations NAACL 2016 Ye Zhang, Stephen Roller, Byron Wallace

We introduce a novel, simple convolution neural network (CNN) architecture - multi-group norm constraint CNN (MGNC-CNN) that capitalizes on multiple sets of word embeddings for sentence classification.

General Classification Sentence Classification +1

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

19 code implementations IJCNLP 2017 Ye Zhang, Byron Wallace

Convolutional Neural Networks (CNNs) have recently achieved remarkably strong performance on the practically important task of sentence classification (kim 2014, kalchbrenner 2014, johnson 2014).

General Classification Sentence Classification

Generating ordered list of Recommended Items: a Hybrid Recommender System of Microblog

no code implementations21 Aug 2012 Yingzhen Li, Ye Zhang

Precise recommendation of followers helps in improving the user experience and maintaining the prosperity of twitter and microblog platforms.

Recommendation Systems

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