World's Best Scientists 2026 revealed!
Yu-Chiang Frank Wang

Yu-Chiang Frank Wang

D-Index & Metrics

Computer Science

D-Index
45
Citations
8972
World Ranking
7159
National Ranking
64

Overview

Yu-Chiang Frank Wang is affiliated with National Taiwan University in Taiwan and specializes in computer science with a focus on several subfields.

The scientist's main subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design

Their research covers various topics related to computer science, specifically:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Advanced Neural Network Applications
  • Speech and Audio Processing
  • Generative Adversarial Networks and Image Synthesis

Recent publications by Yu-Chiang Frank Wang include:

  • Learning of 3D Graph Convolution Networks for Point Cloud Analysis, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • DoRA: Weight-Decomposed Low-Rank Adaptation, 2024, arXiv (Cornell University)
  • NeurMiPs: Neural Mixture of Planar Experts for View Synthesis, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning, 2023, International Journal of Computer Vision

The scientist frequently publishes in the following venues:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Image Processing
  • 2022 IEEE International Conference on Multimedia and Expo (ICME)

Collaborations have been recorded with coauthors such as:

  • Fu-En Yang
  • Ci-Siang Lin
  • Chi-Pin Huang
  • Szu-Wei Fu
  • Ryo Hachiuma

Best Publications

  • A Closer Look at Few-shot Classification

    Wei-Yu Chen;Yen-Cheng Liu;Zsolt Kira;Yu-Chiang Frank Wang

  • No More Discrimination: Cross City Adaptation of Road Scene Segmenters

    Yi-Hsin Chen;Wei-Yu Chen;Yu-Ting Chen;Bo-Cheng Tsai

  • Multi-label Zero-Shot Learning with Structured Knowledge Graphs

    Chung-Wei Lee;Wei Fang;Chih-Kuan Yeh;Yu-Chiang Frank Wang

  • Learning Deep Latent Space for Multi-Label Classification

    Chih-Kuan Yeh;Wei-Chieh Wu;Wei-Jen Ko;Yu-Chiang Frank Wang

  • Anomaly Detection via Online Oversampling Principal Component Analysis

    Yuh-Jye Lee;Yi-Ren Yeh;Yu-Chiang Frank Wang

  • Self-Learning Based Image Decomposition With Applications to Single Image Denoising

    De-An Huang;Li-Wei Kang;Yu-Chiang Frank Wang;Chia-Wen Lin

  • Low-rank matrix recovery with structural incoherence for robust face recognition

    Chih-Fan Chen;Chia-Po Wei;Yu-Chiang Frank Wang

  • Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation

    Po-Yi Chen;Alexander H. Liu;Yen-Cheng Liu;Yu-Chiang Frank Wang

  • Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis

    Zhi-Hao Lin;Sheng-Yu Huang;Yu-Chiang Frank Wang

  • Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation

    Yu-Jhe Li;Ci-Siang Lin;Yan-Bo Lin;Yu-Chiang Frank Wang

  • Exploring Visual and Motion Saliency for Automatic Video Object Extraction

    Wei-Te Li;Haw-Shiuan Chang;Kuo-Chin Lien;Hui-Tang Chang

  • Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation

    Yao-Hung Hubert Tsai;Yi-Ren Yeh;Yu-Chiang Frank Wang

  • Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition

    De-An Huang;Yu-Chiang Frank Wang

  • A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

    Alexander H. Liu;Yen-Cheng Liu;Yu-Ying Yeh;Yu-Chiang Frank Wang

  • Order-Free RNN With Visual Attention for Multi-Label Classification

    Shang-Fu Chen;Yi-Chen Chen;Chih-Kuan Yeh;Yu-Chiang Frank Wang

  • System and method for decentralized title recordation and authentication

    Sean Moss-Pultz;Casey Alt;Christopher Hall;Le Quy Quoc Cuong

  • A Self-Learning Approach to Single Image Super-Resolution

    Min-Chun Yang;Yu-Chiang Frank Wang

  • Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation Subspace

    Yi-Ren Yeh;Chun-Hao Huang;Yu-Chiang Frank Wang

  • Context-Aware Single Image Rain Removal

    De-An Huang;Li-Wei Kang;Min-Chun Yang;Chia-Wen Lin

  • Unsupervised Domain Adaptation With Label and Structural Consistency

    Cheng-An Hou;Yao-Hung Hubert Tsai;Yi-Ren Yeh;Yu-Chiang Frank Wang

  • Learning Deep Latent Spaces for Multi-Label Classification.

    Chih-Kuan Yeh;Wei-Chieh Wu;Wei-Jen Ko;Yu-Chiang Frank Wang

Frequent Co-Authors

David Casasent
David Casasent Carnegie Mellon University
Shao-Yi Chien
Shao-Yi Chien National Taiwan University
Ming-Syan Chen
Ming-Syan Chen National Taiwan University
Chu-Song Chen
Chu-Song Chen National Taiwan University
Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
Min Sun
Min Sun National Tsing Hua University
Chin-Laung Lei
Chin-Laung Lei National Taiwan University
Chia-Wen Lin
Chia-Wen Lin National Tsing Hua University
Hong-Yuan Mark Liao
Hong-Yuan Mark Liao Academia Sinica
Liang-Gee Chen
Liang-Gee Chen National Taiwan University

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