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ORCIDHuidong Liu
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2020 – today
- 2023
[c13]Qinjin Jia, Yang Liu, Daoping Wu, Shaoyuan Xu, Huidong Liu, Jinmiao Fu, Roland Vollgraf, Bryan Wang:
KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce. ACL (industry) 2023: 81-88- [c12]Moyan Li, Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Jia Liu, Bryan Wang:
Hierarchical Conditional Semi-Paired Image-to-Image Translation for Multi-Task Image Defect Correction on Shopping Websites. ICIP 2023: 1885-1889 - [c11]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Token Sparsification for Faster Medical Image Segmentation. IPMI 2023: 743-754 - [c10]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
:
Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation. ISBI 2023: 1-6 - [c9]Emilie Mathian, Huidong Liu, Lynnette Fernandez-Cuesta, Dimitris Samaras, Matthieu Foll, Liming Chen:
HaloAE: A Local Transformer Auto-Encoder for Anomaly Detection and Localization Based on HaloNet. VISIGRAPP (5: VISAPP) 2023: 325-337 - [i10]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Token Sparsification for Faster Medical Image Segmentation. CoRR abs/2303.06522 (2023) - [i9]Moyan Li, Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Jia Liu, Bryan Wang:
Hierarchical Conditional Semi-Paired Image-to-Image Translation For Multi-Task Image Defect Correction On Shopping Websites. CoRR abs/2309.05883 (2023) - 2022
- [j1]Huidong Liu, Tahsin Kurc:
Deep learning for survival analysis in breast cancer with whole slide image data. Bioinform. 38(14): 3629-3637 (2022) - [c8]Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Yang Liu, Ning Xie, Chien-Chih Wang, Jia Liu, Yi Sun, Bryan Wang:
CMA-CLIP: Cross-Modality Attention Clip for Text-Image Classification. ICIP 2022: 2846-2850 - [i8]Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna:
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs. CoRR abs/2201.07344 (2022) - [i7]Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna:
Self Pre-training with Masked Autoencoders for Medical Image Analysis. CoRR abs/2203.05573 (2022) - [i6]Emilie Mathian, Huidong Liu, Lynnette Fernandez-Cuesta, Dimitris Samaras, Matthieu Foll, Liming Chen:
HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization. CoRR abs/2208.03486 (2022) - 2021
- [c7]Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna:
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. MICCAI (7) 2021: 345-355 - [i5]Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen:
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. CoRR abs/2102.04655 (2021) - [i4]Huidong Liu, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Ning Xie, Chien-Chih Wang, Bryan Wang, Yi Sun:
CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification. CoRR abs/2112.03562 (2021) - 2020
- [c6]Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen:
TopoGAN: A Topology-Aware Generative Adversarial Network. ECCV (3) 2020: 118-136 - [c5]Huidong Liu, Fang Du, Xiaofen Tang, Hao Liu, Zhenhua Yu:
Network Architecture Reasoning Via Deep Deterministic Policy Gradient. ICME 2020: 1-6 - [c4]Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen:
Distribution Matching for Crowd Counting. NeurIPS 2020 - [i3]Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai:
Distribution Matching for Crowd Counting. CoRR abs/2009.13077 (2020)
2010 – 2019
- 2019
- [c3]Huidong Liu, Xianfeng Gu, Dimitris Samaras:
Wasserstein GAN With Quadratic Transport Cost. ICCV 2019: 4831-4840 - 2018
- [c2]Huidong Liu, Xianfeng Gu, Dimitris Samaras:
A Two-Step Computation of the Exact GAN Wasserstein Distance. ICML 2018: 3165-3174 - [i2]Yingkai Li, Huidong Liu:
Implementation of Stochastic Quasi-Newton's Method in PyTorch. CoRR abs/1805.02338 (2018) - [i1]Huidong Liu, Yang Guo, Na Lei, Zhixin Shu, Shing-Tung Yau, Dimitris Samaras, Xianfeng Gu:
Latent Space Optimal Transport for Generative Models. CoRR abs/1809.05964 (2018) - 2015
- [c1]Huidong Liu, Jin Chen, Guoru Ding, Kaiqiang Yan, Li Cui:
Optimal cooperative spectrum sensing strategy in cognitive radio networks exploiting RF-energy harvesting. WCSP 2015: 1-5
Coauthor Index
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