Search Results for author: Yanwu Yang

Found 19 papers, 4 papers with code

DualTalker: A Cross-Modal Dual Learning Approach for Speech-Driven 3D Facial Animation

no code implementations8 Nov 2023 Guinan Su, Yanwu Yang, Zhifeng Li

In recent years, audio-driven 3D facial animation has gained significant attention, particularly in applications such as virtual reality, gaming, and video conferencing.

Lip Reading

A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation

no code implementations27 Oct 2023 Jiesi Hu, Yanwu Yang, Xutao Guo, Jinghua Wang, Ting Ma

Source-free domain adaptation (SFDA) aims to adapt models trained on a labeled source domain to an unlabeled target domain without the access to source data.

Denoising Image Segmentation +3

NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation

1 code implementation25 May 2023 Pengcheng Shi, Xutao Guo, Yanwu Yang, Chenfei Ye, Ting Ma

Motivated by the successful breakthroughs of graph neural networks (GNN) in capturing topological properties and non-Euclidean relationships across various fields, we propose NexToU, a novel hybrid architecture for medical image segmentation.

Image Segmentation Medical Image Segmentation +1

Why is the winner the best?

no code implementations CVPR 2023 Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldřich Kodym, Michal Kozubek, Jianning Li, Hongwei Li, Jun Ma, Carlos Martín-Isla, Bjoern Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patiño, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin Van Wijnen, Martin Wagner, Donglai Wei, Amine Yamlahi, Moi Hoon Yap, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, Jihoon Cho, Chanyeol Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, Clifton Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García Faura, Maria Grammatikopoulou, SeulGi Hong, Mostafa Jahanifar, Ikbeom Jang, Abdolrahim Kadkhodamohammadi, Inha Kang, Florian Kofler, Satoshi Kondo, Hugo Kuijf, Mingxing Li, Minh Huan Luu, Tomaž Martinčič, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, Subeen Pang, Jinah Park, Sung-Hong Park, Szymon Płotka, Elodie Puybareau, Nasir Rajpoot, Kanghyun Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Štepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Helene Urien, João L. Vilaça, Kareem Abdul Wahid, Haojie Wang, Jiacheng Wang, Liansheng Wang, Xiyue Wang, Benedikt Wiestler, Marek Wodzinski, Fangfang Xia, Juanying Xie, Zhiwei Xiong, Sen yang, Yanwu Yang, Zixuan Zhao, Klaus Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

The "typical" lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning.

Benchmarking Multi-Task Learning

Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agenda

no code implementations24 Feb 2023 Yanwu Yang, Huiran Li

In sponsored search advertising (SSA), keywords serve as the basic unit of business model, linking three stakeholders: consumers, advertisers and search engines.


Causality-based CTR Prediction using Graph Neural Networks

no code implementations30 Jan 2023 Panyu Zhai, Yanwu Yang, Chunjie Zhang

This paper is dedicated to developing a causality-based CTR prediction model in the GNNs framework (Causal-GNN) integrating representations of feature graph, user graph and ad graph in the context of online advertising.

Causal Discovery Click-Through Rate Prediction +1

Accelerate adversarial training with loss guided propagation for robust image classification

1 code implementation journal 2023 Changkai Xu, Chunjie Zhang, Yanwu Yang, Huaizhi Yang, Yijun Bo, Danyong Li, Riquan Zhang

In this work, we propose an efficient adversarial training method with loss guided propagation (ATLGP) to accelerate the adversarial training process.

Image Classification

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation

no code implementations27 Oct 2022 Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma

Based on the Denoising Diffusion Probabilistic Model (DDPM), medical image segmentation can be described as a conditional image generation task, which allows to compute pixel-wise uncertainty maps of the segmentation and allows an implicit ensemble of segmentations to boost the segmentation performance.

Conditional Image Generation Denoising +4

Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification

no code implementations25 Oct 2022 Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Ting Ma

Graph neural networks have been proven to be of great importance in modeling brain connectome networks and relating disease-specific patterns.

Keyword Targeting Optimization in Sponsored Search Advertising: Combining Selection and Matching

no code implementations19 Oct 2022 Huiran Li, Yanwu Yang

Experimental results show that, (a) BB-KSM outperforms seven baselines in terms of profit; (b) BB-KSM shows its superiority as the budget increases, especially in situations with more keywords and keyword combinations; (c) the proposed data distribution estimation approach can effectively address the problem of incomplete performance indices over the three matching types and in turn significantly promotes the performance of keyword targeting decisions.


Estimating Brain Age with Global and Local Dependencies

no code implementations19 Sep 2022 Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma

The brain age has been proven to be a phenotype of relevance to cognitive performance and brain disease.

Feature Engineering Inductive Bias

Optimal Keywords Grouping in Sponsored Search Advertising under Uncertain Environments

no code implementations4 Mar 2022 Huiran Li, Yanwu Yang

This suggests a warning for advertisers that it's not wise to take the number of keywords as the criterion for keywords grouping decisions.

Aggregate effects of advertising decisions: a complex systems look at search engine advertising via an experimental study

no code implementations4 Mar 2022 Yanwu Yang, Xin Li, Bernard J. Jansen, Daniel Zeng

Originality: This is one of the first research works to explore collective group decisions and resulting phenomena in the complex context of search engine advertising via developing and validating a simulation framework that supports assessments of various advertising strategies and estimations of the impact of mechanisms on the search market.

Learning Parameters for a Generalized Vidale-Wolfe Response Model with Flexible Ad Elasticity and Word-of-Mouth

no code implementations28 Feb 2022 Yanwu Yang, Baozhu Feng, Daniel Zeng

The GVW model and its deep learning-based estimation method provide a basis to support big data-driven advertising analytics and decision makings; in the meanwhile, identified properties and experimental findings of this research illuminate critical managerial insights for advertisers in various advertising forms.

Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework

no code implementations28 Feb 2022 Yanwu Yang, Bernard J. Jansen, Yinghui Yang, Xunhua Guo, Daniel Zeng

This paper proposes a multi-level and closed-form computational framework for keyword optimization (MKOF) to support various keyword decisions.


Click-Through Rate Prediction in Online Advertising: A Literature Review

no code implementations22 Feb 2022 Yanwu Yang, Panyu Zhai

Specifically, we give a classification of state-of-the-art CTR prediction models in the extant literature, within which basic modeling frameworks and their extensions, advantages and disadvantages, and performance assessment for CTR prediction are presented.

Click-Through Rate Prediction Marketing

Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net

no code implementations15 Sep 2021 Yanwu Yang, Xutao Guo, Yiwei Pan, Pengcheng Shi, Haiyan Lv, Ting Ma

We exploit the medical image segmentation uncertainty quantification by measuring segmentation performance with multiple annotations in a supervised learning manner and propose a U-Net based architecture with multiple decoders, where the image representation is encoded with the same encoder, and segmentation referring to each annotation is estimated with multiple decoders.

Decoder Image Segmentation +4

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