Deep Learning for Person Reidentification Using Support Vector Machines. - Mengyu Xu; Zhenmin Tang; Yazhou Yao; Lingxiang Yao; Huafeng Liu 004; Jingsong Xu (Adv. Multim., 2017)

Road Segmentation with Image-LiDAR Data Fusion. - Huafeng Liu 004; Yazhou Yao; Zeren Sun; Xiangrui Li; Ke Jia; Zhenmin Tang (CoRR, 2019)

Deep Representation Learning for Road Detection through Siamese Network. - Huafeng Liu 004; Xiaofeng Han; Xiangrui Li; Yazhou Yao; Pu Huang; Zhenming Tang (CoRR, 2019)

Deep representation learning for road detection using Siamese network. - Huafeng Liu 004; Xiaofeng Han; Xiangrui Li; Yazhou Yao; Pu Huang; Zhenmin Tang (Multim. Tools Appl., 2019)

Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification. - Chuanyi Zhang; Yazhou Yao; Huafeng Liu 004; Guo-Sen Xie; Xiangbo Shu; Tianfei Zhou; Zheng Zhang 006; Fumin Shen; Zhenmin Tang (AAAI, 2020)

Hsi Road: A Hyper Spectral Image Dataset For Road Segmentation. - Jiarou Lu; Huafeng Liu 004; Yazhou Yao; Shuyin Tao; Zhenming Tang; Jianfeng Lu 003 (ICME, 2020)

Road segmentation with image-LiDAR data fusion in deep neural network. - Huafeng Liu 004; Yazhou Yao; Zeren Sun; Xiangrui Li; Ke Jia; Zhenming Tang (Multim. Tools Appl., 2020)

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones. - Huafeng Liu 004; Chuanyi Zhang; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Jian Zhang 002; Zhenmin Tang (CoRR, 2021)

A semi-supervised 3D object detection method for autonomous driving. - Jiacheng Zhang; Huafeng Liu 004; Jianfeng Lu 003 (Displays, 2022)

Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic Loss Correction and Global Sample Selection. - Huafeng Liu 004; Haofeng Zhang 001; Jianfeng Lu 003; Zhenmin Tang (IEEE Trans. Multim., 2022)

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples. - Huafeng Liu 004; Chuanyi Zhang; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Zhenmin Tang; Jian Zhang 002 (IEEE Trans. Multim., 2022)

Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise. - Zeren Sun; Huafeng Liu 004; Qiong Wang 003; Tianfei Zhou; Qi Wu 001; Zhenmin Tang (IEEE Trans. Multim., 2022)

Co-mining: Mining informative samples with noisy labels. - Zhenhuang Cai; Huafeng Liu 004; Dan Huang; Yazhou Yao; Zhenmin Tang (Signal Process., 2023)

FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network. - Huafeng Liu 004; Pai Peng; Tao Chen 012; Qiong Wang 003; Yazhou Yao; Xian-Sheng Hua 001 (IEEE Trans. Multim., 2023)

VideoMAC: Video Masked Autoencoders Meet ConvNets. - Gensheng Pei; Tao Chen 012; Xiruo Jiang; Huafeng Liu 004; Zeren Sun; Yazhou Yao (CVPR, 2024)

SMP-Track: SAM in Multi-Pedestrian Tracking. - Shiyin Wang; Huafeng Liu 004; Qiong Wang 003; Yichao Zhou; Yazhou Yao (DSAA, 2024)

Universal Organizer of Segment Anything Model for Unsupervised Semantic Segmentation. - Tingting Li; Gensheng Pei; Xinhao Cai; Qiong Wang 003; Huafeng Liu 004; Yazhou Yao (ICME, 2024)

Universal Organizer of SAM for Unsupervised Semantic Segmentation. - Tingting Li; Gensheng Pei; Xinhao Cai; Huafeng Liu 004; Qiong Wang 003; Yazhou Yao (CoRR, 2024)

Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection. - Huafeng Liu 004; Mengmeng Sheng; Zeren Sun; Yazhou Yao; Xian-Sheng Hua 001; Heng Tao Shen (IEEE Trans. Multim., 2024)

UNIALIGN: Scaling Multimodal Alignment within One Unified Model. - Bo Zhou; Liulei Li; Yujia Wang; Huafeng Liu 004; Yazhou Yao; Wenguan Wang (CVPR, 2025)