Search Results for author: Yun Wang

Found 29 papers, 11 papers with code

Key Gene Mining in Transcriptional Regulation for Specific Biological Processes with Small Sample Sizes Using Multi-network pipeline Transformer

no code implementations7 Aug 2023 Kerui Huang, Jianhong Tian, Lei Sun, Li Zeng, Peng Xie, Aihua Deng, Ping Mo, Zhibo Zhou, Ming Jiang, Yun Wang, Xiaocheng Jiang

Gene mining is an important topic in the field of life sciences, but traditional machine learning methods cannot consider the regulatory relationships between genes.

Data Augmentation

Exploring the Mutual Influence between Self-Supervised Single-Frame and Multi-Frame Depth Estimation

1 code implementation25 Apr 2023 Jie Xiang, Yun Wang, Lifeng An, Haiyang Liu, Jian Liu

Although both self-supervised single-frame and multi-frame depth estimation methods only require unlabeled monocular videos for training, the information they leverage varies because single-frame methods mainly rely on appearance-based features while multi-frame methods focus on geometric cues.

Depth Estimation

Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling

no code implementations17 Apr 2023 Haotian Li, Yun Wang, Q. Vera Liao, Huamin Qu

Data storytelling plays an important role in data workers' daily jobs since it boosts team collaboration and public communication.

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

no code implementations29 Mar 2023 Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan

On the other hand, there are also many existing models and systems (symbolic-based or neural-based) that can do some domain-specific tasks very well.

Code Generation Common Sense Reasoning

3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI

no code implementations16 Mar 2023 Xuzhe Zhang, Yuhao Wu, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Hyagriv N. Simhan, Sonja Entringer, Pathik D. Wadhwa, Claudia Buss, Cristiane S. Duarte, Andrea Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang

Robust segmentation of infant brain MRI across multiple ages, modalities, and sites remains challenging due to the intrinsic heterogeneity caused by different MRI scanners, vendors, or acquisition sequences, as well as varying stages of neurodevelopment.

Domain Generalization Style Transfer

Exploiting Implicit Rigidity Constraints via Weight-Sharing Aggregation for Scene Flow Estimation from Point Clouds

no code implementations4 Mar 2023 Yun Wang, Cheng Chi, Xin Yang

Scene flow estimation, which predicts the 3D motion of scene points from point clouds, is a core task in autonomous driving and many other 3D vision applications.

Autonomous Driving Pose Estimation +2

Accurate and Efficient Stereo Matching via Attention Concatenation Volume

3 code implementations23 Sep 2022 Gangwei Xu, Yun Wang, Junda Cheng, Jinhui Tang, Xin Yang

In this paper, we present a novel cost volume construction method, named attention concatenation volume (ACV), which generates attention weights from correlation clues to suppress redundant information and enhance matching-related information in the concatenation volume.

Stereo Matching

Static Replication of Impermanent Loss for Concentrated Liquidity Provision in Decentralised Markets

no code implementations24 May 2022 Jun Deng, Hua Zong, Yun Wang

This article analytically characterizes the impermanent loss of concentrated liquidity provision for automatic market makers in decentralised markets such as Uniswap.

Visual Attention-based Self-supervised Absolute Depth Estimation using Geometric Priors in Autonomous Driving

2 code implementations18 May 2022 Jie Xiang, Yun Wang, Lifeng An, Haiyang Liu, Zijun Wang, Jian Liu

Although existing monocular depth estimation methods have made great progress, predicting an accurate absolute depth map from a single image is still challenging due to the limited modeling capacity of networks and the scale ambiguity issue.

Autonomous Driving Monocular Depth Estimation

OneLabeler: A Flexible System for Building Data Labeling Tools

1 code implementation27 Mar 2022 Yu Zhang, Yun Wang, Haidong Zhang, Bin Zhu, Siming Chen, Dongmei Zhang

In this paper, we propose a conceptual framework for data labeling and OneLabeler based on the conceptual framework to support easy building of labeling tools for diverse usage scenarios.

Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks

no code implementations14 Oct 2021 Sangeeta Srivastava, Yun Wang, Andros Tjandra, Anurag Kumar, Chunxi Liu, Kritika Singh, Yatharth Saraf

While self-supervised speech representation learning has been popular in the speech research community, very few works have comprehensively analyzed audio representation learning for non-speech audio tasks.

Audio Classification Representation Learning +1

Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study

no code implementations7 Oct 2021 Dawei Liang, Yangyang Shi, Yun Wang, Nayan Singhal, Alex Xiao, Jonathan Shaw, Edison Thomaz, Ozlem Kalinli, Mike Seltzer

Detection of common events and scenes from audio is useful for extracting and understanding human contexts in daily life.

Event Detection

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

1 code implementation28 May 2021 Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang

Magnetic resonance imaging (MRI) noninvasively provides critical information about how human brain structures develop across stages of life.

Vocal Bursts Intensity Prediction

Wasserstein Coupled Graph Learning for Cross-Modal Retrieval

no code implementations ICCV 2021 Yun Wang, Tong Zhang, Xueya Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang

Then, a Wasserstein coupled dictionary, containing multiple pairs of counterpart graph keys with each key corresponding to one modality, is constructed for further feature learning.

Cross-Modal Retrieval Graph Embedding +2

An Infrared Communication System based on Handstand Pendulum

no code implementations9 Sep 2020 Xingchen Li, Changlu Li, Yun Wang, Mengqi Lei

In this system, 940nm infrared light is mainly used for audio signal transmission, and an handstand pendulum based on PID is used to control the angle and stability of infrared light emission.

Instance-Aware Graph Convolutional Network for Multi-Label Classification

no code implementations19 Aug 2020 Yun Wang, Tong Zhang, Zhen Cui, Chunyan Xu, Jian Yang

For label diffusion of instance-awareness in graph convolution, rather than using the statistical label correlation alone, an image-dependent label correlation matrix (LCM), fusing both the statistical LCM and an individual one of each image instance, is constructed for graph inference on labels to inject adaptive information of label-awareness into the learned features of the model.

Classification General Classification +2

Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization

no code implementations18 Mar 2020 Haiyang Xu, Yun Wang, Kun Han, Baochang Ma, Junwen Chen, Xiangang Li

Abstractive text summarization is a challenging task, and one need to design a mechanism to effectively extract salient information from the source text and then generate a summary.

Abstractive Text Summarization Document Summarization

Learning Alignment for Multimodal Emotion Recognition from Speech

1 code implementation6 Sep 2019 Haiyang Xu, HUI ZHANG, Kun Han, Yun Wang, Yiping Peng, Xiangang Li

Further, emotion recognition will be beneficial from using audio-textual multimodal information, it is not trivial to build a system to learn from multimodality.

Multimodal Emotion Recognition Speech Emotion Recognition +2

Connectionist Temporal Localization for Sound Event Detection with Sequential Labeling

2 code implementations22 Oct 2018 Yun Wang, Florian Metze

Research on sound event detection (SED) with weak labeling has mostly focused on presence/absence labeling, which provides no temporal information at all about the event occurrences.

Sound Audio and Speech Processing

A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling

3 code implementations22 Oct 2018 Yun Wang, Juncheng Li, Florian Metze

This paper compares five types of pooling functions both theoretically and experimentally, with special focus on their performance of localization.

Sound Audio and Speech Processing

The Symmetry of a Simple Optimization Problem in Lasso Screening

no code implementations21 Aug 2016 Yun Wang, Peter J. Ramadge

Recently dictionary screening has been proposed as an effective way to improve the computational efficiency of solving the lasso problem, which is one of the most commonly used method for learning sparse representations.

Feedback-Controlled Sequential Lasso Screening

no code implementations21 Aug 2016 Yun Wang, Xu Chen, Peter J. Ramadge

In this context, we propose and explore a feedback controlled sequential screening scheme.

Model Selection

Screening Tests for Lasso Problems

no code implementations19 May 2014 Zhen James Xiang, Yun Wang, Peter J. Ramadge

For a given target vector, dictionary screening quickly identifies a subset of dictionary columns that will receive zero weight in a solution of the corresponding lasso problem.

Unsupervised Feature Learning by Deep Sparse Coding

no code implementations20 Dec 2013 Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi

In this paper, we propose a new unsupervised feature learning framework, namely Deep Sparse Coding (DeepSC), that extends sparse coding to a multi-layer architecture for visual object recognition tasks.

Object Recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.