Search Results for author: Tao Yang

Found 47 papers, 13 papers with code

KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships

1 code implementation Findings (EMNLP) 2021 Lei He, Suncong Zheng, Tao Yang, Feng Zhang

In this work, we propose to incorporate KG (including both entities and relations) into the language learning process to obtain KG-enhanced pretrained Language Model, namely KLMo.

Entity Linking Entity Typing +3

Learning to Answer Psychological Questionnaire for Personality Detection

no code implementations Findings (EMNLP) 2021 Feifan Yang, Tao Yang, Xiaojun Quan, Qinliang Su

We argue that the posts created by a user contain critical contents that could help answer the questions in a questionnaire, resulting in an assessment of his personality by linking the texts and the questionnaire.

Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection

no code implementations27 Oct 2021 Zeyu You, Yichu Zhou, Tao Yang, Wei Fan

Anomaly detection or outlier detection is a common task in various domains, which has attracted significant research efforts in recent years.

Anomaly Detection Outlier Detection

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox

no code implementations11 Aug 2021 Anh Tran, Tao Yang, Qingyao Ai

Our toolbox is an important resource for researchers to conduct experiments on ULTR algorithms with different configurations as well as testing their own algorithms with the supported features.


PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction

1 code implementation ACL 2021 Shulin Liu, Tao Yang, Tianchi Yue, Feng Zhang, Di Wang

In this paper, we propose a Pre-trained masked Language model with Misspelled knowledgE (PLOME) for CSC, which jointly learns how to understand language and correct spelling errors.

Language Modelling Spelling Correction

DeceFL: A Principled Decentralized Federated Learning Framework

1 code implementation15 Jul 2021 Ye Yuan, Jun Liu, Dou Jin, Zuogong Yue, Ruijuan Chen, Maolin Wang, Chuan Sun, Lei Xu, Feng Hua, Xin He, Xinlei Yi, Tao Yang, Hai-Tao Zhang, Shaochun Sui, Han Ding

Although there has been a joint effort in tackling such a critical issue by proposing privacy-preserving machine learning frameworks, such as federated learning, most state-of-the-art frameworks are built still in a centralized way, in which a central client is needed for collecting and distributing model information (instead of data itself) from every other client, leading to high communication pressure and high vulnerability when there exists a failure at or attack on the central client.

Federated Learning

Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints

no code implementations9 Jun 2021 Xinlei Yi, Xiuxian Li, Tao Yang, Lihua Xie, Tianyou Chai, Karl H. Johansson

A novel algorithm is first proposed and it achieves an $\mathcal{O}(T^{\max\{c, 1-c\}})$ bound for static regret and an $\mathcal{O}(T^{(1-c)/2})$ bound for cumulative constraint violation, where $c\in(0, 1)$ is a user-defined trade-off parameter, and thus has improved performance compared with existing results.

Psycholinguistic Tripartite Graph Network for Personality Detection

no code implementations ACL 2021 Tao Yang, Feifan Yang, Haolan Ouyang, Xiaojun Quan

In this paper, we propose a psycholinguistic knowledge-based tripartite graph network, TrigNet, which consists of a tripartite graph network and a BERT-based graph initializer.

Graph Attention Graph Learning

Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization

no code implementations1 May 2021 Xinlei Yi, Xiuxian Li, Tao Yang, Lihua Xie, Tianyou Chai, Karl H. Johansson

This is a sequential decision making problem with two sequences of arbitrarily varying convex loss and constraint functions.

Decision Making

Composite Re-Ranking for Efficient Document Search with BERT

no code implementations11 Mar 2021 Yingrui Yang, Yifan Qiao, Jinjin Shao, Mayuresh Anand, Xifeng Yan, Tao Yang

By applying token encoding on top of a dual-encoder architecture, BECR separates the attentions between a query and a document while capturing the contextual semantics of a query.


Gravitational-Wave Detector Networks: Standard Sirens on Cosmology and Modified Gravity Theory

no code implementations2 Mar 2021 Tao Yang

We give a conservative and realistic estimation of the catalogue and Hubble diagram of GW standard sirens and their potential on studying cosmology and modified gravity theory in the 2030s.

Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology

A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN

no code implementations1 Mar 2021 He Zhang, Zhixiong Nan, Tao Yang, Yifan Liu, Nanning Zheng

In autonomous driving, perceiving the driving behaviors of surrounding agents is important for the ego-vehicle to make a reasonable decision.

Autonomous Driving

Do Generative Models Know Disentanglement? Contrastive Learning is All You Need

1 code implementation21 Feb 2021 Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng

DisCo consists of: (i) a Navigator providing traversal directions in the latent space, and (ii) a $\Delta$-Contrastor composed of two shared-weight Encoders, which encode image pairs along these directions to disentangled representations respectively, and a difference operator to map the encoded representations to the Variation Space.

Contrastive Learning

Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

1 code implementation21 Feb 2021 Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng

From the unsupervised disentanglement perspective, we rethink content and style and propose a formulation for unsupervised C-S disentanglement based on our assumption that different factors are of different importance and popularity for image reconstruction, which serves as a data bias.

3D Reconstruction Affine Transformation +3

GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement

no code implementations20 Feb 2021 Tao Yang, Xuanchi Ren, Yuwang Wang, Wenjun Zeng, Nanning Zheng, Pengju Ren

The key idea of the state-of-the-art VAE-based unsupervised representation disentanglement methods is to minimize the total correlation of the latent variable distributions.

Maximizing Marginal Fairness for Dynamic Learning to Rank

1 code implementation18 Feb 2021 Tao Yang, Qingyao Ai

Rankings, especially those in search and recommendation systems, often determine how people access information and how information is exposed to people.

Fairness Learning-To-Rank +1

g-SiC6 Monolayer: A New Graphene-like Dirac Cone Material with a High Fermi Velocity

no code implementations9 Feb 2021 Tao Yang, Xingang Jiang, Wencai Yi, Xiaomin Cheng, Xiaobing Liu

In this work, using first-principles calculations, we have predicted a new Dirac cone material of silicon carbide with the new stoichiometries, named g-SiC6 monolayer, which is composed of sp2 hybridized with a graphene-like structure.

Materials Science

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

no code implementations31 Dec 2020 Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi

This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities.

Named Entity Recognition NER

Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation

no code implementations18 Sep 2020 Yi Yu, Tao Yang, Hongyang Chen, Rodrigo C. de Lamare, Yingsong Li

In this paper, we propose and analyze the sparsity-aware sign subband adaptive filtering with individual weighting factors (S-IWF-SSAF) algorithm, and consider its application in acoustic echo cancellation (AEC).

Acoustic echo cancellation

Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud

1 code implementation7 Sep 2020 Chao Zhu, Teng Miao, Tongyu Xu, Tao Yang, Na Li

However, automatic stem-leaf segmentation of maize shoots from three-dimensional (3D) point clouds remains challenging, especially for new emerging leaves that are very close and wrapped together during the seedling stage.

Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank

1 code implementation20 Aug 2020 Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai

Because click data is often noisy and biased, a variety of methods have been proposed to construct unbiased learning to rank (ULTR) algorithms for the learning of unbiased ranking models.

Information Retrieval Learning-To-Rank

HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild

no code implementations24 Jul 2020 Jing Chen, Chenhui Wang, Kejun Wang, Chaoqun Yin, Cong Zhao, Tao Xu, Xinyi Zhang, Ziqiang Huang, Meichen Liu, Tao Yang

Existing multimodal emotion databases in the real-world conditions are few and small, with a limited number of subjects and expressed in a single language.

Emotion Recognition Facial Expression Recognition

A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization

no code implementations4 Jun 2020 Xinlei Yi, Shengjun Zhang, Tao Yang, Tianyou Chai, Karl H. Johansson

The distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of $n$ local cost functions by using local information exchange is considered.

Optimization and Control

Unbiased Learning to Rank: Online or Offline?

no code implementations28 Apr 2020 Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao

While their definitions of \textit{unbiasness} are different, these two types of ULTR algorithms share the same goal -- to find the best models that rank documents based on their intrinsic relevance or utility.


Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition

no code implementations25 Nov 2019 Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao

For the same action, the knowledge learned from different media types, e. g., videos and images, may be related and complementary.

Action Recognition Action Recognition In Videos +2

Global Temporal Representation based CNNs for Infrared Action Recognition

no code implementations18 Sep 2019 Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao

Existing methods for infrared action recognition are either based on spatial or local temporal information, however, the global temporal information, which can better describe the movements of body parts across the whole video, is not considered.

Action Recognition Optical Flow Estimation

Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning

1 code implementation19 Aug 2019 Jemin George, Tao Yang, He Bai, Prudhvi Gurram

Numerical results also show that the proposed distributed algorithm allows the individual agents to recognize the digits even though the training data corresponding to all the digits is not locally available to each agent.

Optimization and Control Systems and Control Systems and Control

Multi-Grained Named Entity Recognition

1 code implementation ACL 2019 Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu

This paper presents a novel framework, MGNER, for Multi-Grained Named Entity Recognition where multiple entities or entity mentions in a sentence could be non-overlapping or totally nested.

Multi-Grained Named Entity Recognition NER +2

Event Detection without Triggers

no code implementations NAACL 2019 Shulin Liu, Yang Li, Feng Zhang, Tao Yang, Xinpeng Zhou

The goal of event detection (ED) is to detect the occurrences of events and categorize them.

Event Detection

Geodesic Clustering in Deep Generative Models

no code implementations13 Sep 2018 Tao Yang, Georgios Arvanitidis, Dongmei Fu, Xiaogang Li, Søren Hauberg

Deep generative models are tremendously successful in learning low-dimensional latent representations that well-describe the data.

Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition

no code implementations3 Sep 2018 Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang

In order to make the feature representations of videos across views transferable, we then learn a transferable dictionary pair simultaneously from pairs of videos taken at different views to encourage each action video across views to have the same sparse representation.

Action Recognition Denoising

VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View

no code implementations19 Apr 2018 Yan Wu, Tao Yang, Junqiao Zhao, Linting Guan, Wei Jiang

At the same time, we proposed a highly fused convolutional network (HFCN) based segmentation method for parking slot and lane markings based on the PSV dataset.

$ρ$-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis

1 code implementation21 Mar 2018 Ou Wu, Tao Yang, Mengyang Li, Ming Li

Lexical cues are useful for sentiment analysis, and they have been utilized in conventional studies.

Sentiment Analysis

Disentangled Variational Auto-Encoder for Semi-supervised Learning

no code implementations15 Sep 2017 Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria

The majority of existing semi-supervised VAEs utilize a classifier to exploit label information, where the parameters of the classifier are introduced to the VAE.

Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure

no code implementations12 Sep 2017 Tao Yang, Paul Thompson, Sihai Zhao, Jieping Ye

As a regression model, it is competitive to the state-of-the-arts sparse models; as a variable selection method, SGLGG is promising for identifying Alzheimer's disease-related risk SNPs.

Variable Selection

Traffic-Aware Transmission Mode Selection in D2D-enabled Cellular Networks with Token System

no code implementations2 Mar 2017 Yiling Yuan, Tao Yang, Hui Feng, Bo Hu, Jianqiu Zhang, Bin Wang, Qiyong Lu

We consider a D2D-enabled cellular network where user equipments (UEs) owned by rational users are incentivized to form D2D pairs using tokens.

Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions

no code implementations19 Aug 2016 Qingyang Li, Tao Yang, Liang Zhan, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang

To the best of our knowledge, this is the first successful run of the computationally intensive model selection procedure to learn a consistent model across different institutions without compromising their privacy while ranking the SNPs that may collectively affect AD.

Model Selection

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