Search Results for author: Yan Yang

Found 42 papers, 10 papers with code

Understanding Gender Bias in Knowledge Base Embeddings

no code implementations ACL 2022 Yupei Du, Qi Zheng, Yuanbin Wu, Man Lan, Yan Yang, Meirong Ma

To exemplify the potential applications of our study, we also present two strategies (by adding and removing KB triples) to mitigate gender biases in KB embeddings.

KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals

1 code implementation Findings (EMNLP) 2021 Jun Zhang, Yan Yang, Chencai Chen, Liang He, Zhou Yu

Recommendation dialogs require the system to build a social bond with users to gain trust and develop affinity in order to increase the chance of a successful recommendation.

Question Answering Recommendation Systems +1

State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking

1 code implementation30 Jan 2024 Ming Gu, Yan Yang, Chengcai Chen, Zhou Yu

Experimental results on the MultiWOZ 2. 1 dataset show that our method which has only less than 1 billion parameters achieves state-of-the-art performance under the data ratio settings of 5%, 10%, and 25% when limited to models under 100 billion parameters.

Dialogue State Tracking

Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction

no code implementations26 Jan 2024 Yan Yang, Md Zakir Hossain, Xuesong Li, Shafin Rahman, Eric Stone

Spatial transcriptomics (ST) captures gene expression within distinct regions (i. e., windows) of a tissue slide.

Language Modelling Large Language Model

Language-driven All-in-one Adverse Weather Removal

no code implementations3 Dec 2023 Hao Yang, Liyuan Pan, Yan Yang, Wei Liang

Then, with the guidance of degradation prior, we sparsely select restoration experts from a candidate list dynamically based on a Mixture-of-Experts (MoE) structure.

Event Camera Data Dense Pre-training

no code implementations20 Nov 2023 Yan Yang, Liyuan Pan, Liu Liu

This paper introduces a self-supervised learning framework designed for pre-training neural networks tailored to dense prediction tasks using event camera data.

Self-Supervised Learning Transfer Learning

Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification

no code implementations8 Sep 2023 Yiqian Yang, Zhengqiao Zhao, Qian Wang, Yan Yang, Jingdong Chen

Existing approaches to modeling associations between visual stimuli and brain responses are facing difficulties in handling between-subject variance and model generalization.

EEG Video Reconstruction

LCCo: Lending CLIP to Co-Segmentation

no code implementations22 Aug 2023 Xin Duan, Yan Yang, Liyuan Pan, Xiabi Liu

With a backbone segmentation network that independently processes each image from the set, we introduce semantics from CLIP into the backbone features, refining them in a coarse-to-fine manner with three key modules: i) an image set feature correspondence module, encoding global consistent semantic information of the image set; ii) a CLIP interaction module, using CLIP-mined common semantics of the image set to refine the backbone feature; iii) a CLIP regularization module, drawing CLIP towards this co-segmentation task, identifying the best CLIP semantic and using it to regularize the backbone feature.


LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network

no code implementations19 Jul 2023 Hao Yang, Liyuan Pan, Yan Yang, Richard Hartley, Miaomiao Liu

In this paper, we propose, to the best of our knowledge, the first framework that introduces the contrastive language-image pre-training framework (CLIP) to accurately estimate the blur map from a DP pair unsupervisedly.

Deblurring Image Defocus Deblurring

Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training

no code implementations13 May 2023 Ke Zhang, Yan Yang, Jun Yu, Hanliang Jiang, Jianping Fan, Qingming Huang, Weidong Han

To address this limitation, we propose a unified Med-VLP framework based on Multi-task Paired Masking with Alignment (MPMA) to integrate the cross-modal alignment task into the joint image-text reconstruction framework to achieve more comprehensive cross-modal interaction, while a Global and Local Alignment (GLA) module is designed to assist self-supervised paradigm in obtaining semantic representations with rich domain knowledge.

Event Camera Data Pre-training

no code implementations ICCV 2023 Yan Yang, Liyuan Pan, Liu Liu

Our model is a self-supervised learning framework, and uses paired event camera data and natural RGB images for training.

Contrastive Learning Self-Supervised Learning +1

K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring

no code implementations CVPR 2023 Yan Yang, Liyuan Pan, Liu Liu, Miaomiao Liu

It estimates a disparity feature map, which is used to query a trainable kernel set to estimate a blur kernel that best describes the spatially-varying blur.

Deblurring Image Restoration

Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances

1 code implementation CVPR 2023 Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma

Those solutions, however, often fail in revealing image details due to the limited information in a single image and the poor adaptability of handcrafted priors.

Low-Light Image Enhancement

Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction

1 code implementation30 Oct 2022 Yan Yang, Md Zakir Hossain, Eric A Stone, Shafin Rahman

This paper proposes an Exemplar Guided Network (EGN) to accurately and efficiently predict gene expression directly from each window of a tissue slide image.

ISG: I can See Your Gene Expression

no code implementations30 Oct 2022 Yan Yang, Liyuan Pan, Liu Liu, Eric A Stone

Instead, we present ISG framework that harnesses interactions among discriminative features from texture-abundant regions by three new modules: 1) a Shannon Selection module, based on the Shannon information content and Solomonoff's theory, to filter out textureless image regions; 2) a Feature Extraction network to extract expressive low-dimensional feature representations for efficient region interactions among a high-resolution image; 3) a Dual Attention network attends to regions with desired gene expression features and aggregates them for the prediction task.

A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder

no code implementations29 Aug 2022 Xinyao Liu, Shengdong Du, Tianrui Li, Fei Teng, Yan Yang

We first incorporate into an autoencoder a hidden layer that consists of de-tracking neurons and radial basis function neurons, which can enhance the ability of learning interrelated features and common features.


K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation

no code implementations18 May 2022 Fabien H. Wagner, Ricardo Dalagnol, Alber H. Sánchez, Mayumi C. M. Hirye, Samuel Favrichon, Jake H. Lee, Steffen Mauceri, Yan Yang, Sassan Saatchi

The model detects $k$ hard clustering classes represented in the model as $k$ discrete binary masks and their associated $k$ independently generated textures, that combined are a simulation of the original image.

Clustering Image Segmentation +1

DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers

1 code implementation23 Mar 2022 Yan Yang, Zakir Hossain, Khandaker Asif, Liyuan Pan, Shafin Rahman, Eric Stone

De novo peptide sequencing aims to recover amino acid sequences of a peptide from tandem mass spectrometry (MS) data.

de novo peptide sequencing

Feature Modulation to Improve Struggle Detection in Web Search: A Psychological Approach

no code implementations9 Dec 2021 Jiyun Luo, Yan Yang, Valerie Nayak, Grace Hui Yang

Existing Web search struggle detection methods rely on effort-based features to identify the struggling moments.

Adversarial Reweighting for Partial Domain Adaptation

1 code implementation NeurIPS 2021 Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu

To tackle the challenge of negative domain transfer, we propose a novel Adversarial Reweighting (AR) approach that adversarially learns the weights of source domain data to align the source and target domain distributions, and the transferable deep recognition network is learned on the reweighted source domain data.

Partial Domain Adaptation

Seismic wave propagation and inversion with Neural Operators

no code implementations11 Aug 2021 Yan Yang, Angela F. Gao, Jorge C. Castellanos, Zachary E. Ross, Kamyar Azizzadenesheli, Robert W. Clayton

We develop a scheme to train Neural Operators on an ensemble of simulations performed with random velocity models and source locations.

Computational Efficiency

Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

1 code implementation27 Jul 2021 Song Tang, Yan Yang, Zhiyuan Ma, Norman Hendrich, Fanyu Zeng, Shuzhi Sam Ge, ChangShui Zhang, Jianwei Zhang

To reach this goal, we construct the nearest neighborhood for every target data and take it as the fundamental clustering unit by building our objective on the geometry.

Clustering Deep Clustering +1

Molecular distance matrix prediction based on graph convolutional networks

no code implementations1 Jul 2021 Xiaohui Lin, Yongquan Jiang, Yan Yang

In order to indicate the effect of DMGCN model, the model is compared with the model DeeperGCN-DAGNN and the method of calculating molecular conformation in RDKit.

S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation

1 code implementation30 Nov 2020 Yan Yang, Md Zakir Hossain, Tom Gedeon, Shafin Rahman

Instead of constraining the translation process by using a reference image, the users can command the model to retouch the generated images by involving the semantic information in the generation process.

Attribute Image Generation +2

RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition

no code implementations7 Oct 2020 Yan Yang, Md Zakir Hossain, Tom Gedeon, Shafin Rahman

Smiles play a vital role in the understanding of social interactions within different communities, and reveal the physical state of mind of people in both real and deceptive ways.

Feature Engineering Smile Recognition

DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction

no code implementations22 Aug 2020 Dongjie Wang, Yan Yang, Shangming Ning

Urban resource scheduling is an important part of the development of a smart city, and transportation resources are the main components of urban resources.

Scheduling Time Series Analysis

Learning with Noisy Labels for Sentence-level Sentiment Classification

no code implementations IJCNLP 2019 Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li

We propose a novel DNN model called NetAb (as shorthand for convolutional neural Networks with Ab-networks) to handle noisy labels during training.

Classification General Classification +4

Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach

no code implementations24 Jun 2019 Yan Yang, Juan Yu, Zhifang Yang, Mingxu Xiang, Ren Liu

Taking advantage of the deep structure and reconstructive strategy of stacked denoising auto encoders (SDAE), a SDAE-based optimal power flow (OPF) is developed to extract the high-level nonlinear correlations between the system operating condition and the OPF solution.


Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach

no code implementations14 Jun 2019 Yan Yang, Zhifang Yang, Juan Yu, Baosen Zhang

A deep neural network (DNN) is used to approximate the power flow calculation and is trained according to the physical power flow equations to improve its learning ability.

Forward and Backward Knowledge Transfer for Sentiment Classification

no code implementations8 Jun 2019 Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang

That is, it is possible to improve the NB classifier for a task by improving its model parameters directly by using the retained knowledge from other tasks.

Classification General Classification +3

Spectral Perturbation Meets Incomplete Multi-view Data

no code implementations31 May 2019 Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou

In this work, we show a strong link between perturbation risk bounds and incomplete multi-view clustering.

Clustering Incomplete multi-view clustering +1

Deep Air Quality Forecasting Using Hybrid Deep Learning Framework

no code implementations12 Dec 2018 Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng

Air quality forecasting has been regarded as the key problem of air pollution early warning and control management.

Management Time Series +1

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

no code implementations19 May 2017 Yan Yang, Jian Sun, Huibin Li, Zongben Xu

Due to the combination of the advantages in model-based approach and deep learning approach, the ADMM-Nets achieve state-of-the-art reconstruction accuracies with fast computational speed.

Compressive Sensing Image Reconstruction

Multi-Shot Person Re-Identification via Relational Stein Divergence

no code implementations4 Mar 2014 Azadeh Alavi, Yan Yang, Mehrtash Harandi, Conrad Sanderson

The use of similarity vectors is in contrast to the traditional approach of embedding manifolds into tangent spaces, which can suffer from representing the manifold structure inaccurately.

General Classification Person Re-Identification

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