Ke Yang | DeepAI

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Hao Chen
339 publications
Zhao Song
142 publications
Yan Liu
130 publications
Jian Tang
129 publications
Heng Ji
126 publications
Dongsheng Li
104 publications
Jieping Ye
93 publications
Bo Jiang
79 publications
Ping Zhang
72 publications
Ying Li
70 publications
Yan Lu
70 publications

∙ 09/17/2023

MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification

Vision Transformer (ViT) models have recently emerged as powerful and ve...

0 Junjie Zhu, et al. ∙

∙ 05/17/2023

Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog

Retrieving proper domain knowledge from an external database lies at the...

0 Fanqi Wan, et al. ∙

∙ 04/26/2023

PVP: Pre-trained Visual Parameter-Efficient Tuning

Large-scale pre-trained transformers have demonstrated remarkable succes...

0 Zhao Song, et al. ∙

∙ 03/30/2023

Non-Invasive Fairness in Learning through the Lens of Data Drift

Machine Learning (ML) models are widely employed to drive many modern da...

0 Ke Yang, et al. ∙

∙ 02/21/2023

Generic Dependency Modeling for Multi-Party Conversation

To model the dependencies between utterances in multi-party conversation...

0 Weizhou Shen, et al. ∙

∙ 01/29/2023

Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration

The great success of Deep Neural Networks (DNNs) has inspired the algori...

0 Peng Qiao, et al. ∙

∙ 11/10/2022

ADEPT: A DEbiasing PrompT Framework

Several works have proven that finetuning is an applicable approach for ...

0 Ke Yang, et al. ∙

∙ 11/08/2022

Adaptive Semantic Communications: Overfitting the Source and Channel for Profit

Most semantic communication systems leverage deep learning models to pro...

0 Jincheng Dai, et al. ∙

∙ 11/02/2022

WITT: A Wireless Image Transmission Transformer for Semantic Communications

In this paper, we aim to redesign the vision Transformer (ViT) as a new ...

0 Ke Yang, et al. ∙

∙ 08/18/2022

Brand Celebrity Matching Model Based on Natural Language Processing

Celebrity Endorsement is one of the most significant strategies in brand...

0 Heming Yang, et al. ∙

∙ 03/11/2022

A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings

Contrastive learning has shown great potential in unsupervised sentence ...

0 Haochen Tan, et al. ∙

∙ 01/25/2022

Distributed Image Transmission using Deep Joint Source-Channel Coding

We study the problem of deep joint source-channel coding (D-JSCC) for co...

0 Sixian Wang, et al. ∙

∙ 09/13/2021

IQ: Intrinsic measure for quantifying the heterogeneity in meta-analysis

Quantifying the heterogeneity is an important issue in meta-analysis, an...

0 Ke Yang, et al. ∙

∙ 03/25/2021

Fairness in Ranking: A Survey

In the past few years, there has been much work on incorporating fairnes...

0 Meike Zehlike, et al. ∙

∙ 03/16/2021

A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images

Building footprints data is of importance in several urban applications ...

0 Hongjie He, et al. ∙

∙ 11/05/2020

Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction

Video anomaly detection is commonly used in many applications such as se...

2 Xuanzhao Wang, et al. ∙

∙ 10/07/2020

QarSUMO: A Parallel, Congestion-optimized Traffic Simulator

Traffic simulators are important tools for tasks such as urban planning ...

0 Hao Chen, et al. ∙

∙ 06/15/2020

Causal intersectionality for fair ranking

In this paper we propose a causal modeling approach to intersectional fa...

0 Ke Yang, et al. ∙

∙ 03/18/2020

Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

Semantic segmentation of large-scale outdoor point clouds is essential f...

0 Weikai Tan, et al. ∙

∙ 11/27/2019

Towards Precise End-to-end Weakly Supervised Object Detection Network

It is challenging for weakly supervised object detection network to prec...

12 Ke Yang, et al. ∙

∙ 06/04/2019

Balanced Ranking with Diversity Constraints

Many set selection and ranking algorithms have recently been enhanced wi...

0 Ke Yang, et al. ∙

∙ 02/26/2019

IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition

Effective spatiotemporal feature representation is crucial to the video-...

10 Ke Yang, et al. ∙

∙ 02/14/2019

Exploring Frame Segmentation Networks for Temporal Action Localization

Temporal action localization is an important task of computer vision. Th...

0 Ke Yang, et al. ∙

∙ 04/21/2018

A Nutritional Label for Rankings

Algorithmic decisions often result in scoring and ranking individuals to...

0 Ke Yang, et al. ∙

∙ 08/10/2017

Exploring Temporal Preservation Networks for Precise Temporal Action Localization

Temporal action localization is an important task of computer vision. Th...

0 Ke Yang, et al. ∙

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