**Selected Papers**

Learning with Less Annotation

• Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu
  “CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Condition Networks”
  International Journal of Computer Vision (IJCV)

• Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin
  “Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation”
  International Journal of Computer Vision (IJCV)

• Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu
  “CRNet: Cross-Reference Networks for Few Shot Segmentation”
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Weide Liu, Xiangfei Kong, Guosheng Lin, Tzu-Yi Hung
  “Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation”
  IEEE Transactions on Multimedia (TMM)

• Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin
  “Few-shot Segmentation with Message Flow and Optimal Transport Matching”
  IEEE Transactions on Multimedia (TMM)

• Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin
  “LCReg: Long-Tailed Image Classification with Latent Categories based Recognition”
  Pattern Recognition

• Weide Liu, Chi Zhang, Guosheng Lin, Tzu-Yi Hung, Chunyan Miao
  “Weakly Supervised Segmentation with Maximum Bipartite Graph Matching”
  ACM International Conference on Multimedia (ACM MM)

• Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex Kot
  “Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation”
  European Conference on Computer Vision (ECCV)

AI for Biomedical Science

• Weide Liu, Camilo Calixto, Simon K. Warfield, Davood Karimi
  “Streamline tractography of the fetal brain in utero with machine learning”

AI for Medical Image

• Guanghui Yue, Di Cheng, Tianwei Zhou, Jingwen Hou, Weide Liu, Long Xu, Tianfu Wang, Jun Chen
  “Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method”
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

• Guanghui Yue, Guibin Zhuo, Siying Li, Tianwei Zhou, Jingfeng Du, Weiqing Yan, Jingwen Hou, Weide Liu, Tianfu Wang
  “Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images”
  IEEE Journal of Biomedical and Health Informatics (JBHI)

• Guanghui Yue, Guibin Zhuo, Tianwei Zhou, Weide Liu, Tianfu Wang, Qiuping Jiang
  “Adaptive Cross-Feature Fusion Network With Inconsistency Guidance for Multi-Modal Brain Tumor Segmentation”
  IEEE Journal of Biomedical and Health Informatics (JBHI)

• Tianrui Liu, Qiyue Wei, Jianguo Chen, Weide Liu, Weimin Huang, Ruchir Srivastava, Zhongyao Cheng, Zeng Zeng, Bharadwaj Veeravalli, Xulei Yang
  “Unsupervised 3D Lung Segmentation by Leveraging 2D Segment Anything Model”
  Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

• Shenghao Zhao, Xiaoyu Zhang, Ziyuan Zhao, Peisheng Qian, Weide Liu, Zeng Zeng, Bharadwaj Veeravalli, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Wai Leong Tam, Xulei Yang
  “Hybrid Model Design For Protein Function Prediction”
  Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

• Honghui Chen, Baoquan Zhao, Guanghui Yue, Weide Liu, Chenlei Lv, Ruomei Wang, Fan Zhou
  “CLIP-MEDFAKE: Synthetic Data Augmentation with AI-Generated Content for Improved Medical Image Classification”
  IEEE International Conference on Image Processing (ICIP)

Others

• Weide Liu, Guosheng Lin, Tianyi Zhang, Zichuan Liu
  “Guided Co-Segmentation Network for Fast Video Object Segmentation”
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

• Chao Cai, Yuming Fang, Weide Liu*, Ruibing Jin, Jun Cheng, Zhenghua Chen
  “FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction with Continuous-to-Discrete Conversion”
  IEEE Transactions on Industrial Informatics

• Chao Cai, Weide Liu*, Xue Xia, Zhenghua Chen, Yuming Fang
  “Bayesian Uncertainty Calibration for Federated Time Series Analysis”
  IEEE Transactions on Multimedia (TMM)

• Gong Rui, Weide Liu, Zaiwang Gu, Xulei Yang, Jun Cheng
  “Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching”
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng
  “ELFNet: Evidential Local-global Fusion for Stereo Matching”
  International Conference on Computer Vision (ICCV)

• Jingwen Hou, Weisi Lin, Guanghui Yue, Weide Liu, Baoquan Zhao
  “Interaction-Matrix Based Personalized Image Aesthetic Assessment”
  IEEE Transactions on Multimedia (TMM)

• Jingwen Hou, Henghui Ding, Weisi Lin, Weide Liu, Yuming Fang
  “Distilling Knowledge from Object Classification to Aesthetics Assessment”
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

• Jingwen Hou, Weisi Lin, Yuming Fang, Haoning Wu, Chaofeng Chen, Liang Liao, Weide Liu
  “Towards Transparent Deep Image Aesthetics Assessment with Tag-based Content Descriptors”
  IEEE Transactions on Image Processing (TIP)

• Jiayuan Fan, Haixiang Chen, Weide Liu, Xun Xu, Jun Cheng
  “Holistic and Contextual Evidential Stereo-LiDAR Fusion for Depth Estimation”
  IEEE Transactions on Intelligent Vehicles (TIV)

• Huijing Zhan, Ling Li, Shaohua Li, Weide Liu, Manas Gupta, Alex C. Kot
  “Towards Explainable Recommendation via Bert-guided Explanation Generator”
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng
  “SuperJunction: Learning-based Junction Detection for Retinal Image Registration”
  Association for the Advancement of Artificial Intelligence (AAAI)

• Jiebin Yan, Lei Wu, Yuming Fang, Xuelin Liu, Xue Xia, Weide Liu
  “Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling”
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

* Corresponding Author.