Using Protocol Analysis to Investigate Collective Learning in Design. - Zhichao Wu; Alex H. B. Duffy (AID, 2002)

Modeling collective learning in design. - Zhichao Wu; Alex H. B. Duffy (Artif. Intell. Eng. Des. Anal. Manuf., 2004)

A Unique Self-Sensing, Self-Actuating AFM Probe at Higher Eigenmodes. - Zhichao Wu; Tong Guo; Ran Tao; Leihua Liu; Jinping Chen; Xing Fu; Xiaotang Hu (Sensors, 2015)

Hyperspectral Estimation Methods for Chlorophyll Content of Apple Based on Random Forest. - Haojie Pei; Changchun Li; Haikuan Feng; Guijun Yang; Mingxing Liu; Zhichao Wu (CCTA (2), 2017)

Research and Realization of Winter Wheat Yield Estimation Model Based on NDVI Index. - Zhichao Wu; Changchun Li; Haikuan Feng; Bo Xu 017; Guijun Yang; Zhenhai Li; Haojie Pei; Mingxing Liu (CCTA (2), 2017)

Height and Biomass Inversion of Winter Wheat Based on Canopy Height Model. - Haikuan Feng; Li Pan; Fan Yang; Haojie Pei; Huifang Wang; Guijun Yang; Mingxing Liu; Zhichao Wu (IGARSS, 2018)

Biomass Inversion Based on Geometric Information of Laser Point Cloud. - Li Pan; Wei Guo 029; Liang Pei; Haikuan Feng; Fan Yang; Haojie Pei; Guijun Yang; Zhichao Wu; Mingxing Liu (IGARSS, 2018)

Estimation of aboveground biomass of potato based on ground hyperspectral. - Haojie Pei; Haikuan Feng; Changchun Li; Guijun Yang; Zhichao Wu; Mingxing Liu (Agro-Geoinformatics, 2019)

Prediction of Nitrogen Content in Apple Leaves Based on Continuous Wavelet Transform. - Mengke Miao; Haikuan Feng; Baoshan Wang; Changchun Li; Guijun Yang; Liting Zhai; Mingxing Liu; Zhichao Wu (IGARSS, 2019)

Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning. - Antoine Rivail; Ursula Schmidt-Erfurth; Wolf-Dieter Vogl; Sebastian M. Waldstein; Sophie Riedl; Christoph Grechenig; Zhichao Wu; Hrvoje Bogunovic (PRIME@MICCAI, 2019)

Fiber optics frequency comb enabled all-optical modulation format analyzer. - Songnian Fu; Zuying Xu; Zhichao Wu; Deming Liu (OECC/PSC, 2019)

Bayesian analysis model for the use of anesthetic analgesic drugs in cancer patients based on geometry reconstruction. - Zhichao Wu; Han Wang; Arunkumar N. (Future Gener. Comput. Syst., 2019)

Joint Extraction of Symptoms and Details in Chinese Medical Records Using the Overlapping Mechanism. - Qian Hu; Wan Dong; Ning Liu; Jing Wang; Yanan Shen; Zhichao Wu (IWCMC, 2020)

The Intelligent Diagnostic System for Common Diseases using the Optimized Medical Knowledge Graph. - Jing Wang; Ning Liu; Qian Hu; Zhichao Wu; Wan Dong; Yanan Shen (IWCMC, 2020)

Unsupervised Image Segmentation using Mutual Mean-Teaching. - Zhichao Wu; Lei Guo; Hao Zhang 110; Dan Xu 001 (CoRR, 2020)

An overlapping sequence tagging mechanism for symptoms and details extraction on Chinese medical records. - Qian Hu; Ning Liu; Jing Wang; Zhichao Wu; Xuan Zhang; Qiang Liu; Yixin Zhao; Feng Xu (Comput. Electr. Eng., 2021)

Tile Defect Detection Based on the Improved S2C-YOLOv5. - Limei Song; Jiatong Xiao; Zhichao Wu; Mengya Liu; Zhonghao Xiang (CICAI (1), 2022)

Empirical mode decomposition denoising of the electroretinogram to enhance measurement of the photopic negative response. - Marc Sarossy; Jonathan G. Crowston; Dinesh K. Kumar; Zhichao Wu (Biomed. Signal Process. Control., 2022)

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography. - Roy Schwartz 004; Hagar Khalid; Sandra Liakopoulos; Yanling Ouyang; Coen de Vente; Cristina González-Gonzalo; Aaron Y. Lee; Robyn H. Guymer; Emily Y. Chew; Catherine Egan; Zhichao Wu; Himeesh Kumar; et al. (CoRR, 2022)

MAM: A multipath attention mechanism for image recognition. - Hao Zhang 110; Guoqin Peng; Zhichao Wu; Jian Gong; Dan Xu 001; Hongzhen Shi (IET Image Process., 2022)

Using texture based features from the continuous wavelet transform of the electroretinogram to predict glaucoma. - Marc Sarossy; Kristyna Stepnicka; Alexander Sarossy; Zhichao Wu (EMBC, 2023)

Spiking Reinforcement Learning for Weakly-Supervised Anomaly Detection. - Ao Jin; Zhichao Wu; Li Zhu; Qianchen Xia; Xin Yang (ICONIP (5), 2023)

Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration. - Heming Yao; Adam Pely; Zhichao Wu; Simon S. Gao; Robyn H. Guymer; Hao Chen; Mohsen Hejrati; Miao Zhang (MICCAI (1), 2023)

The First High-quality Reference Genome of Sika Deer Provides Insights into High-tannin Adaptation. - Xiumei Xing; Cheng Ai; Tianjiao Wang; Yang Li; Huitao Liu; Pengfei Hu; Guiwu Wang; Huamiao Liu; Hongliang Wang; Ranran Zhang; Junjun Zheng; Xiaobo Wang; et al. (Genom. Proteom. Bioinform., 2023)

Exact equal-tailed β -expectation tolerance intervals for sample variances. - Baocai Guo; Wei Wang; Zhichao Wu; Xixiang He; Yumei Zhu (Commun. Stat. Simul. Comput., 2023)

User Welfare in Cryptocurrency Transaction Markets: An Empirical Study on EIP-1559. - Peilin Ai; Zhichao Wu; Guangzhi Shang; Xi Zhao (HICSS, 2024)

DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-Speech Generation. - Zhichao Wu; Qiulin Li; Sixing Liu; Qun Yang (ICASSP, 2024)

Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal. - Lihe Li; Ruotong Chen; Ziqian Zhang; Zhichao Wu; Yi-Chen Li 001; Cong Guan; Yang Yu 001; Lei Yuan 005 (IJCAI, 2024)

Drift-DiffuSE: Diffusion Model with Learnable Drift Term for Speech Enhancement. - Sixing Liu; Yi Jiang; Zhichao Wu; Linyu Yao; Qun Yang (IJCNN, 2024)

VTPL: Visual and text prompt learning for visual-language models. - Bo Sun; Zhichao Wu; Hao Zhang; Jun He (J. Vis. Commun. Image Represent., 2024)

DSTN: Dynamic Spatio-Temporal Network for Early Fault Warning in Chemical Processes. - Chenming Duan; Zhichao Wu; Li Zhu; Xirong Xu; Jianmin Zhu; Ziqi Wei 001; Xin Yang 011 (Knowl. Based Syst., 2024)

Transformer-Based Multiscale Reconstruction Network for Defect Detection of Infrared Images. - Changyun Wei; Hui Han; Zhichao Wu; Yu Xia; Ze Ji (IEEE Trans. Instrum. Meas., 2024)

A self-supervised anomaly detection algorithm with interpretability. - Zhichao Wu; Xin Yang; Xiaopeng Wei; Peijun Yuan; Yuanping Zhang; Jianming Bai (Expert Syst. Appl., 2024)

Multistep traffic speed prediction from multiple time-scale spatiotemporal features using graph attention network. - Jie Fang; Zhichao Wu; Mengyun Xu; Hongting Chen (Appl. Intell., 2024)

FCConDubber: Fine And Coarse Grained Prosody Alignment For Expressive Video Dubbing via Contrastive Audio-Motion Pretraining. - Qiulin Li; Zhichao Wu; Hanwei Li; Xin Dong; Qun Yang (ICASSP, 2025)

Distributional consistency-guided prompt learning for vision-language models. - Zhichao Wu; Bo Sun; Jun He (Neurocomputing, 2025)

MAFCD: Multi-level and adaptive conditional diffusion model for anomaly detection. - Zhichao Wu; Li Zhu; Zitao Yin; Xirong Xu; Jianmin Zhu; Xiaopeng Wei; Xin Yang (Inf. Fusion, 2025)

A CAM-UNet for pose determination of supercapacitor cell module assembly based on monocular vision. - Zhichao Wu; Weijing Shu; Limei Song; Xinjun Zhu; Yangang Yang (Ind. Robot, 2025)

MPE-TTS: Customized Emotion Zero-Shot Text-To-Speech Using Multi-Modal Prompt. - Zhichao Wu; Yueteng Kang; Songjun Cao; Long Ma; Qiulin Li; Qun Yang (CoRR, 2025)