b'Yu Tian'

research

∙ 09/21/2023

Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction

Wireless communications at high-frequency bands with large antenna array...

0 Yu Tian, et al. ∙

research

∙ 09/21/2023

How Robust is Google's Bard to Adversarial Image Attacks?

Multimodal Large Language Models (MLLMs) that integrate text and other m...

0 Yinpeng Dong, et al. ∙

research

∙ 08/25/2023

Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning

Glaucoma is the number one cause of irreversible blindness globally. A m...

0 Yan Luo, et al. ∙

research

∙ 07/19/2023

Curvature-based Clustering on Graphs

Unsupervised node clustering (or community detection) is a classical gra...

0 Yu Tian, et al. ∙

research

∙ 07/04/2023

Structural Balance and Random Walks on Complex Networks with Complex Weights

Complex numbers define the relationship between entities in many situati...

0 Yu Tian, et al. ∙

research

∙ 06/29/2023

Multi-Scenario Ranking with Adaptive Feature Learning

Recently, Multi-Scenario Learning (MSL) is widely used in recommendation...

0 Yu Tian, et al. ∙

research

∙ 06/17/2023

Large Language Models for Telecom: The Next Big Thing?

The evolution of generative artificial intelligence (GenAI) constitutes ...

0 Lina Bariah, et al. ∙

research

∙ 06/15/2023

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

Fairness in machine learning is important for societal well-being, but l...

2 Yan Luo, et al. ∙

research

∙ 04/06/2023

Opportunities and challenges of ChatGPT for design knowledge management

Recent advancements in Natural Language Processing have opened up new po...

0 Xin Hu, et al. ∙

research

∙ 03/27/2023

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens

Contrastive learning-based vision-language pre-training approaches, such...

0 Yuxiao Chen, et al. ∙

research

∙ 09/26/2022

Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models

State-of-the-art (SOTA) deep learning mammogram classifiers, trained wit...

10 Chong Wang, et al. ∙

research

∙ 09/21/2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

When analysing screening mammograms, radiologists can naturally process ...

14 Yuanhong Chen, et al. ∙

research

∙ 09/13/2022

Just Noticeable Difference Modeling for Face Recognition System

High-quality face images are required to guarantee the stability and rel...

5 Yu Tian, et al. ∙

research

∙ 09/02/2022

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images

Ophthalmic images and derivatives such as the retinal nerve fiber layer ...

1 Min Shi, et al. ∙

research

∙ 08/19/2022

Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding

Generalized text representations are the foundation of many natural lang...

7 Zhaoye Fei, et al. ∙

research

∙ 07/20/2022

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning

Despite the success of fully-supervised human skeleton sequence modeling...

0 Yuxiao Chen, et al. ∙

research

∙ 03/29/2022

Design of a Biomimetic Tactile Sensor for Material Classification

Tactile sensing typically involves active exploration of unknown surface...

0 Kevin Dai, et al. ∙

research

∙ 03/28/2022

Translation Consistent Semi-supervised Segmentation for 3D Medical Images

3D medical image segmentation methods have been successful, but their de...

9 Yuyuan Liu, et al. ∙

research

∙ 03/03/2022

Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification

Deep learning methods have shown outstanding classification accuracy in ...

5 Yuanhong Chen, et al. ∙

research

∙ 01/28/2022

Generalized Visual Quality Assessment of GAN-Generated Face Images

Recent years have witnessed the dramatically increased interest in face ...

1 Yu Tian, et al. ∙

research

∙ 11/25/2021

ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification

Effective semi-supervised learning (SSL) in medical im-age analysis (MIA...

21 Fengbei Liu, et al. ∙

research

∙ 11/25/2021

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

Consistency learning using input image, feature, or network perturbation...

7 Yuyuan Liu, et al. ∙

research

∙ 10/17/2021

AE-StyleGAN: Improved Training of Style-Based Auto-Encoders

StyleGANs have shown impressive results on data generation and manipulat...

15 Ligong Han, et al. ∙

research

∙ 09/29/2021

Vision-Aided Beam Tracking: Explore the Proper Use of Camera Images with Deep Learning

We investigate the problem of wireless beam tracking on mmWave bands wit...

0 Yu Tian, et al. ∙

research

∙ 08/20/2021

Dual Projection Generative Adversarial Networks for Conditional Image Generation

Conditional Generative Adversarial Networks (cGANs) extend the standard ...

7 Ligong Han, et al. ∙

research

∙ 05/26/2021

Networked Federated Multi-Task Learning

Many important application domains generate distributed collections of h...

0 Yasmin SarcheshmehPour, et al. ∙

research

∙ 04/30/2021

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Image and video synthesis are closely related areas aiming at generating...

4 Yu Tian, et al. ∙

research

∙ 03/06/2021

Noisy Label Learning for Large-scale Medical Image Classification

The classification accuracy of deep learning models depends not only on ...

15 Fengbei Liu, et al. ∙

research

∙ 03/05/2021

Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification

The training of deep learning models generally requires a large amount o...

9 Fengbei Liu, et al. ∙

research

∙ 03/05/2021

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

Unsupervised anomaly detection (UAD) learns one-class classifiers exclus...

11 Yu Tian, et al. ∙

research

∙ 01/25/2021

Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors

Current unsupervised anomaly detection and localisation systems are comm...

16 Yuanhong Chen, et al. ∙

research

∙ 01/25/2021

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features

In this paper, we address the problem of weakly-supervised video anomaly...

12 Yu Tian, et al. ∙

research

∙ 01/09/2021

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning

In this paper, we propose and analyse a system that can automatically de...

8 Yu Tian, et al. ∙

research

∙ 10/24/2020

Stochastic Analysis of Cooperative Satellite-UAV Communications

In this paper, a dual-hop cooperative satellite-unmanned aerial vehicle ...

0 Yu Tian, et al. ∙

research

∙ 06/26/2020

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy

Anomaly detection methods generally target the learning of a normal imag...

0 Yu Tian, et al. ∙

research

∙ 06/10/2020

Applying Deep-Learning-Based Computer Vision to Wireless Communications: Methodologies, Opportunities, and Challenges

Deep learning (DL) has obtained great success in computer vision (CV) fi...

0 Yu Tian, et al. ∙

research

∙ 03/18/2020

Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario

Face anti-spoofing is the key to preventing security breaches in biometr...

17 Yu Tian, et al. ∙

research

∙ 10/23/2019

Photoshopping Colonoscopy Video Frames

The automatic detection of frames containing polyps from a colonoscopy v...

0 Yuyuan Liu, et al. ∙

research

∙ 10/06/2019

Rethinking Kernel Methods for Node Representation Learning on Graphs

Graph kernels are kernel methods measuring graph similarity and serve as...

7 Yu Tian, et al. ∙

research

∙ 04/06/2019

Semantic Graph Convolutional Networks for 3D Human Pose Regression

In this paper, we study the problem of learning Graph Convolutional Netw...

6 Long Zhao, et al. ∙

research

∙ 07/26/2018

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

We consider the problem of image-to-video translation, where an input im...

4 Long Zhao, et al. ∙

research

∙ 06/28/2018

CR-GAN: Learning Complete Representations for Multi-view Generation

Generating multi-view images from a single-view input is an essential ye...

0 Yu Tian, et al. ∙

Yu Tian

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