Multi-scale Feature Decode and Fuse Model with CRF Layer for Boundary Detection. - Zihao Dong; Ruixun Zhang; Xiuli Shao; Huichao Li; Zihan Yang (ICONIP (2), 2018)

Multi-scale Discriminative Location-Aware Network for Few-Shot Semantic Segmentation. - Zihao Dong; Ruixun Zhang; Xiuli Shao; Hongyu Zhou (COMPSAC (2), 2019)

Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection. - Zihao Dong; Ruixun Zhang; Xiuli Shao (ICANN (3), 2019)

A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for Image Classification. - Zihao Dong; Ruixun Zhang; Xiuli Shao (ICTAI, 2019)

Automatic Annotation and Segmentation of Object Instances With Deep Active Curve Network. - Zihao Dong; Ruixun Zhang; Xiuli Shao (IEEE Access, 2019)

Scale-Recursive Network with point supervision for crowd scene analysis. - Zihao Dong; Ruixun Zhang; Xiuli Shao; Yumeng Li (Neurocomputing, 2020)

Learning sparse features with lightweight ScatterNet for small sample training. - Zihao Dong; Ruixun Zhang; Xiuli Shao; Zengsheng Kuang (Knowl. Based Syst., 2020)

Self-supervised Multi-view Clustering for Unsupervised Image Segmentation. - Tiyu Fang; Zhen Liang; Xiuli Shao; Zihao Dong; Jinping Li (ICANN (5), 2021)

A Good Representation Detects Noisy Labels. - Zhaowei Zhu; Zihao Dong; Yang Liu 018 (CoRR, 2021)

Lightweight boundary refinement module based on point supervision for semantic segmentation. - Zihao Dong; Jinping Li; Tiyu Fang; Xiuli Shao (Image Vis. Comput., 2021)

Depth Removal Distillation for RGB-D Semantic Segmentation. - Tiyu Fang; Zhen Liang; Xiuli Shao; Zihao Dong; Jinping Li (ICASSP, 2022)

Detecting Corrupted Labels Without Training a Model to Predict. - Zhaowei Zhu; Zihao Dong; Yang Liu 018 (ICML, 2022)

Flexible Skin for Flight Parameter Estimation Based on Pressure and Velocity Data Fusion. - Xin Na; Zheng Gong; Zihao Dong; Dawei Shen; Deyuan Zhang; Yonggang Jiang (Adv. Intell. Syst., 2022)

Maximized Hydrodynamic Stimulation Strategy for Placement of Differential Pressure and Velocity Sensors in Artificial Lateral Line Systems. - Zhen Yang; Zheng Gong; Yonggang Jiang; Yueri Cai; Zhiqiang Ma; Xin Na; Zihao Dong; Deyuan Zhang (IEEE Robotics Autom. Lett., 2022)

Leveraging Emotion Recognition for Enhancing Arts Education: A Classroom Behavior Analysis Approach. - Zihao Dong; Jiangyu An; Li Liu (ICIEAI, 2023)

Deformable Object Manipulation Using Human Demonstration Enhanced Deep Deterministic Policy Gradient. - Zihao Dong; Jian Huang 001; Haoyuan Wang; Bo Yang; Dongrui Wu; Yaonan Zhu; Yasuhisa Hasegawa (MHS, 2023)

ACO+PSO+A*: A bi-layer hybrid algorithm for multi-task path planning of an AUV. - Fuli Sui; Xiaoke Tang; Zihao Dong; Xingjia Gan; Peng Luo; Jing Sun 001 (Comput. Ind. Eng., 2023)

Hard Label Black Box Node Injection Attack on Graph Neural Networks. - Yu Zhou; Zihao Dong; Guofeng Zhang 020; Jingchen Tang (CoRR, 2023)

Multi-stage framework with difficulty-aware learning for progressive dose prediction. - Fan Li; Sijie Niu; Yingying Han; Yan Zhang; Zihao Dong; Jian Zhu (Biomed. Signal Process. Control., 2023)

Weakly supervised fine-grained semantic segmentation via spatial correlation-guided learning. - Zihao Dong; Tiyu Fang; Jinping Li; Xiuli Shao (Comput. Vis. Image Underst., 2023)

OrbitGrasp: SE(3)-Equivariant Grasp Learning. - Boce Hu; Xupeng Zhu; Dian Wang 001; Zihao Dong; Haojie Huang; Chenghao Wang; Robin Walters 001; Robert Platt 001 (CoRL, 2024)

Contrastive Learning with Global Representation for Face Anti-spoofing. - Kai Wang; Jiwen Dong; Guang Feng; Xizhan Gao; Hui Zhao 009; Zihao Dong; Jinglan Tian; Bowen Liu; Sijie Niu (ICIC (5), 2024)

LiDAR Inertial Odometry And Mapping Using Learned Registration-Relevant Features. - Zihao Dong; Jeff Pflueger; Leonard Jung; David Thorne; Philip R. Osteen; Christa S. Robison; Brett Thomas Lopez; Michael Everett (CoRR, 2024)

Collision Avoidance Verification of Multiagent Systems With Learned Policies. - Zihao Dong; Shayegan Omidshafiei; Michael Everett (IEEE Control. Syst. Lett., 2024)

Uncertainty-weighted prototype active learning in domain adaptive semantic segmentation. - Zihao Dong; Sijie Niu; Xizhan Gao; Jinping Li; Xiuli Shao (Expert Syst. Appl., 2024)

Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic segmentation. - Zihao Dong; Sijie Niu; Xizhan Gao; Xiuli Shao (Pattern Recognit., 2024)

UAFer: A Unified Model for Class-Agnostic Binary Segmentation With Uncertainty-Aware Feature Reassembly. - Zihao Dong; Zizhen Liu; Runmin Cong; Tiyu Fang; Xiuli Shao; Sam Kwong (IEEE Trans. Circuits Syst. Video Technol., 2024)

Generalizable retinal image segmentation via style and semantics dual-consistency framework. - Xiaohui Li; Xizhan Gao; Guang Feng; Xueying Zhou; Fenghang Zhang; Zihao Dong; Sijie Niu (Biomed. Signal Process. Control., 2025)

Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement Learning. - Haoyuan Wang; Zihao Dong; Hongliang Lei; Zejia Zhang; Weizhuang Shi; Wei Luo; Weiwei Wan; Jian Huang (CoRR, 2025)

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification. - Shuxian Ma; Zihao Dong; Runmin Cong; Sam Kwong; Xiuli Shao (CoRR, 2025)

Learning Smooth State-Dependent Traversability from Dense Point Clouds. - Zihao Dong; Alan Papalia; Leonard Jung; Alenna Spiro; Philip R. Osteen; Christa S. Robison; Michael Everett (CoRR, 2025)