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Zhichao Wu
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2020 – today
- 2024
- [j13]Jie Fang, Zhichao Wu, Mengyun Xu, Hongting Chen:
Multistep traffic speed prediction from multiple time-scale spatiotemporal features using graph attention network. Appl. Intell. 54(15-16): 7479-7492 (2024) - [j12]Zhichao Wu, Xin Yang, Xiaopeng Wei, Peijun Yuan, Yuanping Zhang, Jianming Bai:
A self-supervised anomaly detection algorithm with interpretability. Expert Syst. Appl. 237(Part B): 121539 (2024) - [j11]Bo Sun, Zhichao Wu, Hao Zhang, Jun He:
VTPL: Visual and text prompt learning for visual-language models. J. Vis. Commun. Image Represent. 104: 104280 (2024) - [j10]Chenming Duan, Zhichao Wu, Li Zhu, Xirong Xu, Jianmin Zhu, Ziqi Wei, Xin Yang:
DSTN: Dynamic Spatio-Temporal Network for Early Fault Warning in Chemical Processes. Knowl. Based Syst. 296: 111892 (2024) - [j9]Changyun Wei, Hui Han, Zhichao Wu, Yu Xia, Ze Ji:
Transformer-Based Multiscale Reconstruction Network for Defect Detection of Infrared Images. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [c19]Peilin Ai, Zhichao Wu, Guangzhi Shang, Xi Zhao:
User Welfare in Cryptocurrency Transaction Markets: An Empirical Study on EIP-1559. HICSS 2024: 5101-5110 - [c18]Zhichao Wu, Qiulin Li, Sixing Liu, Qun Yang:
DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-Speech Generation. ICASSP 2024: 11336-11340 - [c17]Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan:
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal. IJCAI 2024: 4434-4442 - [c16]Sixing Liu, Yi Jiang, Zhichao Wu, Linyu Yao, Qun Yang:
Drift-DiffuSE: Diffusion Model with Learnable Drift Term for Speech Enhancement. IJCNN 2024: 1-8 - 2023
- [j8]Baocai Guo, Wei Wang, Zhichao Wu, Xixiang He, Yumei Zhu:
Exact equal-tailed β -expectation tolerance intervals for sample variances. Commun. Stat. Simul. Comput. 52(11): 5309-5326 (2023) - [j7]Xiumei Xing, Cheng Ai, Tianjiao Wang, Yang Li, Huitao Liu, Pengfei Hu, Guiwu Wang, Huamiao Liu, Hongliang Wang, Ranran Zhang, Junjun Zheng, Xiaobo Wang, Lei Wang, Yuxiao Chang, Qian Qian, Jinghua Yu, Lixin Tang, Shigang Wu, Xiujuan Shao, Alun Li, Peng Cui, Wei Zhan, Sheng Zhao, Zhichao Wu, Xiqun Shao, Yimeng Dong, Min Rong, Yihong Tan, Xuezhe Cui, Shuzhuo Chang, Xingchao Song, Tongao Yang, Limin Sun, Yan Ju, Pei Zhao, Huanhuan Fan, Ying Liu, Xinhui Wang, Wanyun Yang, Min Yang, Tao Wei, Shanshan Song, Jiaping Xu, Zhigang Yue, Qiqi Liang, Chunyi Li, Jue Ruan, Fuhe Yang:
The First High-quality Reference Genome of Sika Deer Provides Insights into High-tannin Adaptation. Genom. Proteom. Bioinform. 21(1): 203-215 (2023) - [c15]Marc Sarossy, Kristyna Stepnicka, Alexander Sarossy, Zhichao Wu:
Using texture based features from the continuous wavelet transform of the electroretinogram to predict glaucoma. EMBC 2023: 1-4 - [c14]Ao Jin, Zhichao Wu, Li Zhu, Qianchen Xia, Xin Yang:
Spiking Reinforcement Learning for Weakly-Supervised Anomaly Detection. ICONIP (5) 2023: 175-187 - [c13]Heming Yao, Adam Pely, Zhichao Wu, Simon S. Gao, Robyn H. Guymer, Hao Chen, Mohsen Hejrati, Miao Zhang:
Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration. MICCAI (1) 2023: 477-485 - [i4]Zhichao Wu, Qiulin Li, Sixing Liu, Qun Yang:
DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-speech Generation. CoRR abs/2309.06787 (2023) - 2022
- [j6]Marc Sarossy, Jonathan G. Crowston, Dinesh K. Kumar, Zhichao Wu:
Empirical mode decomposition denoising of the electroretinogram to enhance measurement of the photopic negative response. Biomed. Signal Process. Control. 71(Part): 103164 (2022) - [j5]Hao Zhang, Guoqin Peng, Zhichao Wu, Jian Gong, Dan Xu, Hongzhen Shi:
MAM: A multipath attention mechanism for image recognition. IET Image Process. 16(3): 691-702 (2022) - [c12]Limei Song, Jiatong Xiao, Zhichao Wu, Mengya Liu, Zhonghao Xiang:
Tile Defect Detection Based on the Improved S2C-YOLOv5. CICAI (1) 2022: 429-440 - [i3]Roy Schwartz, 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, Joseph Farrington, Clara I. Sánchez, Adnan Tufail:
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography. CoRR abs/2204.02406 (2022) - 2021
- [j4]Qian Hu, Ning Liu, Jing Wang, Zhichao Wu, Xuan Zhang, Qiang Liu, Yixin Zhao, Feng Xu:
An overlapping sequence tagging mechanism for symptoms and details extraction on Chinese medical records. Comput. Electr. Eng. 91: 107019 (2021) - 2020
- [c11]Jing Wang, Ning Liu, Qian Hu, Zhichao Wu, Wan Dong, Yanan Shen:
The Intelligent Diagnostic System for Common Diseases using the Optimized Medical Knowledge Graph. IWCMC 2020: 1504-1509 - [c10]Qian Hu, Wan Dong, Ning Liu, Jing Wang, Yanan Shen, Zhichao Wu:
Joint Extraction of Symptoms and Details in Chinese Medical Records Using the Overlapping Mechanism. IWCMC 2020: 2057-2062 - [i2]Zhichao Wu, Lei Guo, Hao Zhang, Dan Xu:
Unsupervised Image Segmentation using Mutual Mean-Teaching. CoRR abs/2012.08922 (2020)
2010 – 2019
- 2019
- [j3]Zhichao Wu, Han Wang, Arunkumar N.:
Bayesian analysis model for the use of anesthetic analgesic drugs in cancer patients based on geometry reconstruction. Future Gener. Comput. Syst. 93: 170-175 (2019) - [c9]Haojie Pei, Haikuan Feng, Changchun Li, Guijun Yang, Zhichao Wu, Mingxing Liu:
Estimation of aboveground biomass of potato based on ground hyperspectral. Agro-Geoinformatics 2019: 1-4 - [c8]Mengke Miao, Haikuan Feng, Baoshan Wang, Changchun Li, Guijun Yang, Liting Zhai, Mingxing Liu, Zhichao Wu:
Prediction of Nitrogen Content in Apple Leaves Based on Continuous Wavelet Transform. IGARSS 2019: 1841-1844 - [c7]Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic:
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning. PRIME@MICCAI 2019: 44-52 - [c6]Songnian Fu, Zuying Xu, Zhichao Wu, Deming Liu:
Fiber optics frequency comb enabled all-optical modulation format analyzer. OECC/PSC 2019: 1 - [i1]Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic:
Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning. CoRR abs/1910.09420 (2019) - 2018
- [c5]Li Pan, Wei Guo, Liang Pei, Haikuan Feng, Fan Yang, Haojie Pei, Guijun Yang, Zhichao Wu, Mingxing Liu:
Biomass Inversion Based on Geometric Information of Laser Point Cloud. IGARSS 2018: 3246-3249 - [c4]Haikuan Feng, Li Pan, Fan Yang, Haojie Pei, Huifang Wang, Guijun Yang, Mingxing Liu, Zhichao Wu:
Height and Biomass Inversion of Winter Wheat Based on Canopy Height Model. IGARSS 2018: 7711-7714 - 2017
- [c3]Haojie Pei, Changchun Li, Haikuan Feng, Guijun Yang, Mingxing Liu, Zhichao Wu:
Hyperspectral Estimation Methods for Chlorophyll Content of Apple Based on Random Forest. CCTA (2) 2017: 194-207 - [c2]Zhichao Wu, Changchun Li, Haikuan Feng, Bo Xu, Guijun Yang, Zhenhai Li, Haojie Pei, Mingxing Liu:
Research and Realization of Winter Wheat Yield Estimation Model Based on NDVI Index. CCTA (2) 2017: 301-309 - 2015
- [j2]Zhichao Wu, Tong Guo, Ran Tao, Leihua Liu, Jinping Chen, Xing Fu, Xiaotang Hu:
A Unique Self-Sensing, Self-Actuating AFM Probe at Higher Eigenmodes. Sensors 15(11): 28764-28771 (2015)
2000 – 2009
- 2004
- [j1]Zhichao Wu, Alex H. B. Duffy:
Modeling collective learning in design. Artif. Intell. Eng. Des. Anal. Manuf. 18(4): 289-313 (2004) - 2002
- [c1]Zhichao Wu, Alex H. B. Duffy:
Using Protocol Analysis to Investigate Collective Learning in Design. AID 2002: 261-284
Coauthor Index
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