A Semantic Convolutional Auto-Encoder Model for Software Defect Prediction. - Zhihan Wang; Lu Lu (SEKE, 2020)

Design of Railway Accident Analysis System Based on Artificial Intelligence. - Zhihan Wang (SmartBlock, 2020)

CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition. - Zhihan Wang; Feng Hou; Yuanhang Qiu; Zhizhong Ma; Satwinder Singh; Ruili Wang (INTERSPEECH, 2022)

DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites. - Jidong Zhang; Bo Liu 024; Zhihan Wang; Klaus Lehnert; Mark Gahegan (BMC Bioinform., 2022)

Robot Path Verification Method for Automotive Glue-Coating Based on Augmented Reality and Digital Twin. - Chaoran Wang; Xiaonan Yang; Lei Zhang; Yaoguang Hu; Hongzhen Li; Huihui Hao; Zhihan Wang (HCI (3), 2023)

Communication-Efficient Personalized Federated Learning for Digital Twin in Heterogeneous Industrial IoT. - Zhihan Wang; Xiangxue Ma; Haixia Zhang 001; Dongfeng Yuan (ICC Workshops, 2023)

Model-based exploration strategy to accelerate deterministic strategy algorithm training. - Xiaotong Zhao; Jingli Du; Zhihan Wang (ICTAI, 2023)

Sentiment Analysis of Semester Learning Essays in Design Education. - Zhihan Wang; Zhenjun Ming; Guoxin Wang 001; Farrokh Mistree; Janet K. Allen (IEEM, 2023)

CLRL-Tuning: A Novel Continual Learning Approach for Automatic Speech Recognition. - Zhihan Wang; Feng Hou; Ruili Wang (INTERSPEECH, 2023)

Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. - Yihao Li; Philippe Zhang; Yubo Tan; Jing Zhang; Zhihan Wang; Weili Jiang; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (MMAC@MICCAI, 2023)

Attention UNet3+: a full-scale connected attention-aware UNet for CT image segmentation of liver. - Congping Chen; Jing Shi; Zhiwei Xu; Zhihan Wang (J. Electronic Imaging, 2023)

HCS-R-HER: Hierarchical reinforcement learning based on cross subtasks rainbow hindsight experience replay. - Xiaotong Zhao; Jingli Du; Zhihan Wang (J. Comput. Sci., 2023)

DeepCAC: a deep learning approach on DNA transcription factors classification based on multi-head self-attention and concatenate convolutional neural network. - Jidong Zhang; Bo Liu 024; Jiahui Wu; Zhihan Wang; Jianqiang Li 002 (BMC Bioinform., 2023)

Spectral CT Two-Step and One-Step Material Decomposition Using Diffusion Posterior Sampling. - Corentin Vazia; Alexandre Bousse; Jacques Froment; Béatrice Vedel; Franck Vermet; Zhihan Wang; Thore Dassow; Jean-Pierre Tasu; Dimitris Visvikis (EUSIPCO, 2024)

Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography. - Corentin Vazia; Alexandre Bousse; Béatrice Vedel; Franck Vermet; Zhihan Wang; Thore Dassow; Jean-Pierre Tasu; Dimitris Visvikis; Jacques Froment (ISBI, 2024)

CSUNet: Contour-Sensitive Underwater Salient Object Detection. - Yu Wei; Yi Wang; Shijun Yan; Tianzhu Wang; Zhihan Wang; Weirong Sun; Yu Zhao; Xinwei Xue (MMAsia, 2024)

No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding. - Weizhe Chen 001; Zhihan Wang; Jiaoyang Li 001; Sven Koenig; Bistra Dilkina (CoRR, 2024)

Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer. - Adam Labiosa; Zhihan Wang; Siddhant Agarwal; William Cong; Geethika Hemkumar; Abhinav Narayan Harish; Benjamin Hong; Josh Kelle; Chen Li; Yuhao Li; Zisen Shao; Peter Stone 001; et al. (CoRR, 2024)

Spectral computed tomographic image reconstruction using deep learning. (Reconstruction des images médicales de tomodensitométrie spectrale par apprentissage profond). - Zhihan Wang (2024)

DeepSIM: a novel deep learning method for graph similarity computation. - Bo Liu; Zhihan Wang; Jidong Zhang; Jiahui Wu; Guangzhi Qu (Soft Comput., 2024)

Integrating mobile apps into vocal education: A study on accessibility and efficiency in learning. - Zhihan Wang (Educ. Inf. Technol., 2025)

HCDet: hidden X-ray contraband detection based on HyAtt-CNN and local implicit feature pyramid network. - Zhihan Wang; Huiqian Du; Min Xie (Multim. Syst., 2025)