About Me

Selected Publications

• KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce
  Qinjin Jia, Yang Liu, Shaoyuan Xu, Huidong Liu, Daoping Wu, Jinmiao Fu, Roland Vollgraf, Bryan Wang
  The 61st Annual Meeting of the Association for Computational Linguistics (ACL), industry track, 2023


• Token Sparsification for Faster Medical Image Segmentation
  Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
  Information Processing In Medical Imaging (IPMI), 2023 [code]


• Self pre-training with masked autoencoders for medical image analysis
  Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
  IEEE International Symposium on Biomedical Imaging (ISBI), 2023 [code]


• Deep Learning for Survival Analysis in Breast Cancer with Whole Slide Image Data
  Huidong Liu, Tahsin Kurc
  Bioinformatics, 2022 [code]


• Chest Radiograph Disentanglement for COVID-19 Outcome Prediction
  Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 [code]


• Distribution Matching for Crowd Counting
  Boyu Wang*, Huidong Liu*, Dimitris Samaras, Minh Hoai, (*equal contribution)
  Advances in Neural Information Processing Systems (NeurIPS), 2020, (spotlight, 4.1%) [supp] [code]


• TopoGAN: A Topology-Aware Generative Adversarial Network
  Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen
  European Conference on Computer Vision (ECCV), 2020, (oral, 2.1%)


• Wasserstein GAN with Quadratic Transport Cost
  Huidong Liu, Xianfeng Gu, Dimitris Samaras
  International Conference on Computer Vision (ICCV), 2019 [supp] [code]


• Calibrated multi-label classification with label correlations
  Zhi-Fen He, Ming Yang, Hui-Dong Liu, Lei Wang
  Neural Processing Letters, 2019


• Modelling attention control using a convolutional neural network designed after the ventral visual pathway
  Chen-Ping Yu, Huidong Liu, Dimitrios Samaras, Gregory J Zelinsky
  Visual Cognition, 2019


• Joint multi-label classification and label correlations with missing labels and feature selection
  Zhi-Fen He, Ming Yang, Yang Gao, Hui-Dong Liu, Yilong Yin
  Knowledge-Based Systems (KBS), 2019


• A two-step computation of the exact GAN Wasserstein distance
  Huidong Liu, Xianfeng Gu, Dimitris Samaras
  International Conference on Machine Learning (ICML), 2018 [supp] [code]


• Multi-task joint feature selection for multi-label classification
  Zhifen He, Ming Yang, Huidong Liu
  Chinese Journal of Electronics, 2015


• Fast local histogram specification
  Hui-Dong Liu, Ming Yang, Yang Gao, Longbing Cao
  IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2014


• Local histogram specification for face recognition under varying lighting conditions
  Hui-Dong Liu, Ming Yang, Yang Gao, Chunyan Cui
  Image and Vision Computing (IVC), 2014


• Bilinear discriminative dictionary learning for face recognition
  Hui-Dong Liu, Ming Yang, Yang Gao, Yilong Yin, Liang Chen
  Pattern Recognition (PR), 2014


• Local histogram specification using learned histograms for face recognition
  Hui-Dong Liu, Ming Yang
  IEEE International Conference on Image Processing (ICIP), 2012

Academic Services

Reviewer for ICML (2020-), NeurIPS (2020-), ICLR (2022-), CVPR (2020-), ICCV (2021-), ECCV (2020-), AAAI (2021-), etc.

Selected Awards

• ICML Top Reviewer, 2020
• ICML Travel Award, 2018