Huidong Liu

According to our database, Huidong Liu authored at least 21 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

HaloAE: A Local Transformer Auto-Encoder for Anomaly Detection and Localization Based on HaloNet.

Emilie Mathian, Huidong Liu, Lynnette Fernandez-Cuesta, Dimitris Samaras, Matthieu Foll, Liming Chen

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation.

Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Token Sparsification for Faster Medical Image Segmentation.

Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

Proceedings of the Information Processing in Medical Imaging, 2023

Hierarchical Conditional Semi-Paired Image-to-Image Translation for Multi-Task Image Defect Correction on Shopping Websites.

Moyan Li, Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Jia Liu, Bryan Wang

Proceedings of the IEEE International Conference on Image Processing, 2023

KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce.

Qinjin Jia, Yang Liu, Daoping Wu, Shaoyuan Xu, Huidong Liu, Jinmiao Fu, Roland Vollgraf, Bryan Wang

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization.

Emilie Mathian, Huidong Liu, Lynnette Fernandez-Cuesta, Dimitris Samaras, Matthieu Foll, Liming Chen

CoRR, 2022

Self Pre-training with Masked Autoencoders for Medical Image Analysis.

Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

CoRR, 2022

Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs.

Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna

CoRR, 2022

Deep learning for survival analysis in breast cancer with whole slide image data.

Huidong Liu, Tahsin Kurc

Bioinform., 2022

CMA-CLIP: Cross-Modality Attention Clip for Text-Image Classification.

Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Yang Liu, Ning Xie, Chien-Chih Wang, Jia Liu, Yi Sun, Bryan Wang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification.

Huidong Liu, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Ning Xie, Chien-Chih Wang, Bryan Wang, Yi Sun

CoRR, 2021

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach.

Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen

CoRR, 2021

Chest Radiograph Disentanglement for COVID-19 Outcome Prediction.

Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Distribution Matching for Crowd Counting.

Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Network Architecture Reasoning Via Deep Deterministic Policy Gradient.

Huidong Liu, Fang Du, Xiaofen Tang, Hao Liu, Zhenhua Yu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

TopoGAN: A Topology-Aware Generative Adversarial Network.

Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Wasserstein GAN With Quadratic Transport Cost.

Huidong Liu, Xianfeng Gu, Dimitris Samaras

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Latent Space Optimal Transport for Generative Models.

Huidong Liu, Yang Guo, Na Lei, Zhixin Shu, Shing-Tung Yau, Dimitris Samaras, Xianfeng Gu

CoRR, 2018

Implementation of Stochastic Quasi-Newton's Method in PyTorch.

Yingkai Li, Huidong Liu

CoRR, 2018

A Two-Step Computation of the Exact GAN Wasserstein Distance.

Huidong Liu, Xianfeng Gu, Dimitris Samaras

Proceedings of the 35th International Conference on Machine Learning, 2018

2015

Optimal cooperative spectrum sensing strategy in cognitive radio networks exploiting RF-energy harvesting.

Huidong Liu, Jin Chen, Guoru Ding, Kaiqiang Yan, Li Cui

Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015