Search Results for author: Ye Tian

Found 41 papers, 9 papers with code

How does BERT process disfluency?

no code implementations SIGDIAL (ACL) 2021 Ye Tian, Tim Nieradzik, Sepehr Jalali, Da-Shan Shiu

Analysis on sentence embeddings of disfluent and fluent sentence pairs reveals that the deeper the layer, the more similar their representation (exp2).

Sentence Embeddings

Improving Across-Dataset Brain Tissue Segmentation Using Transformer

1 code implementation21 Jan 2022 Vishwanatha M. Rao, Zihan Wan, David J. Ma, Pin-Yu Lee, Ye Tian, Andrew F. Laine, Jia Guo

Transformers have demonstrated success in natural image segmentation and have recently been applied to 3D medical image segmentation tasks due to their ability to capture long-distance relationships in the input where the local receptive fields of CNNs struggle.

Medical Image Segmentation Semantic Segmentation

Acceleration in Distributed Optimization under Similarity

no code implementations24 Oct 2021 Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander Gasnikov

In order to reduce the number of communications to reach a solution accuracy, we proposed a {\it preconditioned, accelerated} distributed method.

Distributed Optimization

Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation

1 code implementation10 Aug 2021 Shangshang Yang, Ye Tian, Xiaoshu Xiang, Shichen Peng, Xingyi Zhang

Evolutionary neural architecture search (ENAS) has recently received increasing attention by effectively finding high-quality neural architectures, which however consumes high computational cost by training the architecture encoded by each individual for complete epochs in individual evaluation.

Neural Architecture Search

Transfer Learning under High-dimensional Generalized Linear Models

no code implementations29 May 2021 Ye Tian, Yang Feng

In this work, we study the transfer learning problem under high-dimensional generalized linear models (GLMs), which aim to improve the fit on target data by borrowing information from useful source data.

Transfer Learning

Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics

no code implementations22 May 2021 Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin

In the past three decades, a large number of metaheuristics have been proposed and shown high performance in solving complex optimization problems.

Translation

Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging

no code implementations21 May 2021 Philipp Ennen, Yen-Ting Lin, Ali Girayhan Ozbay, Ferdinando Insalata, Maolin Li, Ye Tian, Sepehr Jalali, Da-Shan Shiu

In light of the recent success of data-driven approaches, we propose the novel future bridging NLG (FBNLG) concept for dialogue systems and simulators.

Text Generation

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference

no code implementations10 May 2021 Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu

This paper presents AppealNet, a novel edge/cloud collaborative architecture that runs deep learning (DL) tasks more efficiently than state-of-the-art solutions.

Image Classification

Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions

no code implementations6 May 2021 Anish Karpurapu, Adam Krekorian, Ye Tian, Leslie M. Collins, Ravi Karra, Aaron Franklin, Boyla O. Mainsah

Since a sequence of prior doses and INR better capture the variability in individual warfarin response, we hypothesized that longitudinal dose response data will improve maintenance dose predictions.

RaSE: A Variable Screening Framework via Random Subspace Ensembles

1 code implementation7 Feb 2021 Ye Tian, Yang Feng

Variable screening methods have been shown to be effective in dimension reduction under the ultra-high dimensional setting.

Dimensionality Reduction

Imaging vibrations of locally gated, electromechanical few layer graphene resonators with a moving vacuum enclosure

no code implementations4 Jan 2021 Heng Lu, Chen Yang, Ye Tian, Jun Lu, Fanqi Xu, FengNan Chen, Yan Ying, Kevin G. Schädler, Chinhua Wang, Frank H. L. Koppens, Antoine Reserbat-Plantey, Joel Moser

With it we characterize the lowest frequency mode of a FLG resonator by measuring its frequency response as a function of position on the membrane.

Mesoscale and Nanoscale Physics

A Multilayer Correlated Topic Model

no code implementations2 Jan 2021 Ye Tian

We proposed a novel multilayer correlated topic model (MCTM) to analyze how the main ideas inherit and vary between a document and its different segments, which helps understand an article's structure.

Model agnostic meta-learning on trees

no code implementations1 Jan 2021 Jezabel Garcia, Federica Freddi, Jamie McGowan, Tim Nieradzik, Da-Shan Shiu, Ye Tian, Alberto Bernacchia

In meta-learning, the knowledge learned from previous tasks is transferred to new ones, but this transfer only works if tasks are related, and sharing information between unrelated tasks might hurt performance.

Meta-Learning

DeepDyve: Dynamic Verification for Deep Neural Networks

no code implementations21 Sep 2020 Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu

The key to enabling such lightweight checking is that the smaller neural network only needs to produce approximate results for the initial task without sacrificing fault coverage much.

Autonomous Driving

AMRNet: Chips Augmentation in Aerial Images Object Detection

no code implementations15 Sep 2020 Zhiwei Wei, Chenzhen Duan, Xinghao Song, Ye Tian, Hongpeng Wang

Specifically, we propose a scale adaptive module, which dynamically adjusts chip size to balance object scale, narrowing scale variation in training.

Object Detection In Aerial Images

Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection

1 code implementation13 Jul 2020 Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo

(1) The teacher model serves a dual role as a teacher and a student, such that the teacher predictions on unlabeled images may be very close to those of student, which limits the upper-bound of the student.

Knowledge Distillation Object Detection +3

RaSE: Random Subspace Ensemble Classification

no code implementations16 Jun 2020 Ye Tian, Yang Feng

In addition, we show that in a high-dimensional framework, the number of random subspaces needs to be very large to guarantee that a subspace covering signals is selected.

Classification General Classification

Downstream Model Design of Pre-trained Language Model for Relation Extraction Task

1 code implementation8 Apr 2020 Cheng Li, Ye Tian

We believe that PLMs can also be used to solve the relation extraction problem, but it is necessary to establish a specially designed downstream task model or even loss function for dealing with complicated relations.

Language Modelling Relation Extraction

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks

1 code implementation23 Oct 2019 Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari

This paper proposes a novel family of primal-dual-based distributed algorithms for smooth, convex, multi-agent optimization over networks that uses only gradient information and gossip communications.

Distributed Optimization

Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

no code implementations27 May 2019 Ye Tian, Li Yang, Wei Wang, Jing Zhang, Qing Tang, Mili Ji, Yang Yu, Yu Li, Hong Yang, Airong Qian

Traditionally, the most indispensable diagnosis of cervix squamous carcinoma is histopathological assessment which is achieved under microscope by pathologist.

whole slide images

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

3 code implementations21 Feb 2019 Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia X. Chen, Ye Jia, Anjuli Kannan, Tara Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel A. U. Bacchiani, Thomas B. Jablin, Rob Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon

Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models.

Sequence-To-Sequence Speech Recognition

THORS: An Efficient Approach for Making Classifiers Cost-sensitive

no code implementations7 Nov 2018 Ye Tian, Weiping Zhang

In this paper, we propose an effective THresholding method based on ORder Statistic, called THORS, to convert an arbitrary scoring-type classifier, which can induce a continuous cumulative distribution function of the score, into a cost-sensitive one.

General Classification

Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts

no code implementations WS 2018 Isabel Groves, Ye Tian, Ioannis Douratsos

The current most popular method for automatic Natural Language Generation (NLG) evaluation is comparing generated text with human-written reference sentences using a metrics system, which has drawbacks around reliability and scalability.

Image Captioning Machine Translation +2

Aggression Identification and Multi Lingual Word Embeddings

no code implementations COLING 2018 Thiago Galery, Efstathios Charitos, Ye Tian

The system presented here took part in the 2018 Trolling, Aggression and Cyberbullying shared task (Forest and Trees team) and uses a Gated Recurrent Neural Network architecture (Cho et al., 2014) in an attempt to assess whether combining pre-trained English and Hindi fastText (Mikolov et al., 2018) word embeddings as a representation of the sequence input would improve classification performance.

Aggression Identification Multi-Label Text Classification +1

ClusterNet: 3D Instance Segmentation in RGB-D Images

no code implementations24 Jul 2018 Lin Shao, Ye Tian, Jeannette Bohg

We show that our method generalizes well on real-world data achieving visually better segmentation results.

3D Instance Segmentation Decision Making +1

Resisting Large Data Variations via Introspective Transformation Network

no code implementations16 May 2018 Yunhan Zhao, Ye Tian, Charless Fowlkes, Wei Shen, Alan Yuille

Experimental results verify that our approach significantly improves the ability of deep networks to resist large variations between training and testing data and achieves classification accuracy improvements on several benchmark datasets, including MNIST, affNIST, SVHN, CIFAR-10 and miniImageNet.

Data Augmentation Few-Shot Learning

Facebook sentiment: Reactions and Emojis

no code implementations WS 2017 Ye Tian, Thiago Galery, Giulio Dulcinati, Emilia Molimpakis, Chao Sun

FB reactions (e. g. {``}Love{''} and {``}Angry{''}) indicate the readers{'} overall sentiment, against which we can investigate the types of emojis used the comments under different reaction profiles.

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization

no code implementations4 Jan 2017 Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin

To address these issues, we have developed a MATLAB platform for evolutionary multi-objective optimization in this paper, called PlatEMO, which includes more than 50 multi-objective evolutionary algorithms and more than 100 multi-objective test problems, along with several widely used performance indicators.

Multiobjective Optimization

DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter

no code implementations LREC 2016 Julian Hough, Ye Tian, Laura de Ruiter, Simon Betz, Spyros Kousidis, David Schlangen, Jonathan Ginzburg

We present the DUEL corpus, consisting of 24 hours of natural, face-to-face, loosely task-directed dialogue in German, French and Mandarin Chinese.

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