Dacheng Tao
Dacheng Tao is an Australian engineer and academic. He is currently a professor of computer science at the University of Sydney, Australia. He received a PhD in 2007 from the University of London under Stephen Maybank, with a thesis titled ''Discriminative linear and multilinear subspace methods''. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2015 for his contributions to pattern recognition and visual analytics. He was awarded an Australian Laureate Fellowship in 2017. In 2018, Tao was also elected a Fellow of the Australian Academy of Science (FAA) for his "ground-breaking contributions in artificial intelligence, computer vision image processing and machine learning. He was elected as an ACM Fellow in 2019 "for contributions to representation learning and its applications". He was selected to the Global Young Academy. Tao won the Australian Museum's Eureka Prize for Excellence in Data Science in 2020. He has written over 1200 publications across various Artificial Intelligence fields, including pattern recognition, visual analytics, and statistical learning theory. Provided by Wikipedia
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Generalization bounds of ERM-based learning processes for continuous-time Markov chains by Zhang, Chao, Tao, Dacheng
Published 2013
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Heterogeneous multitask metric learning across multiple domains by Luo, Yong, Wen, Yonggang, Tao, Dacheng
Published 2020
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Transferring knowledge fragments for learning distance metric from a heterogeneous domain by Luo, Yong, Wen, Yonggang, Liu, Tongliang, Tao, Dacheng
Published 2020
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Transforming cooling optimization for green data center via deep reinforcement learning by Li, Yuanlong, Wen, Yonggang, Tao, Dacheng, Guan, Kyle
Published 2021
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Discretized-Vapnik-Chervonenkis dimension for analyzing complexity of real function classes by Zhang, Chao, Bian, Wei, Tao, Dacheng, Lin, Weisi
Published 2013
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Learning a no-reference quality assessment model of enhanced images with big data by Gu, Ke, Tao, Dacheng, Qiao, Jun-Fei, Lin, Weisi
Published 2020
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On combining multiple features for cartoon character retrieval and clip synthesis by Yu, Jun, Liu, Dongquan, Tao, Dacheng, Seah, Hock Soon
Published 2013
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A review on generative adversarial networks: algorithms, theory, and applications by Gui, Jie, Sun, Zhenan, Wen, Yonggang, Tao, Dacheng, Ye, Jieping
Published 2022
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Cost-sensitive feature selection by optimizing F-measures by Liu, Meng, Xu, Chang, Luo, Yong, Xu, Chao, Wen, Yonggang, Tao, Dacheng
Published 2020
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Transition role of entangled data in quantum machine learning by Wang, Xinbiao, Du, Yuxuan, Tu, Zhuozhuo, Luo, Yong, Yuan, Xiao, Tao, Dacheng
Published 2024
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Region-adaptive concept aggregation for few-shot visual recognition by Han, Mengya, Zhan, Yibing, Yu, Baosheng, Luo, Yong, Hu, Han, Du, Bo, Wen, Yonggang, Tao, Dacheng
Published 2023
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MTP: advancing remote sensing foundation model via multitask pretraining by Wang, Di, Zhang, Jing, Xu, Minqiang, Liu, Lin, Wang, Dongsheng, Gao, Erzhong, Han, Chengxi, Guo, Haonan, Du, Bo, Tao, Dacheng, Zhang, Liangpei
Published 2024
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Towards open vocabulary learning: a survey by Wu, Jianzong, Li, Xiangtai, Xu, Shilin, Yuan, Haobo, Ding, Henghui, Yang, Yibo, Li, Xia, Zhang, Jiangning, Tong, Yunhai, Jiang, Xudong, Ghanem, Bernard, Tao, Dacheng
Published 2024
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Recent advances for quantum neural networks in generative learning by Tian, Jinkai, Sun, Xiaoyu, Du, Yuxuan, Zhao, Shanshan, Liu, Qing, Zhang, Kaining, Yi, Wei, Huang, Wanrong, Wang, Chaoyue, Wu, Xingyao, Hsieh, Min-Hsiu, Liu, Tongliang, Yang, Wenjing, Tao, Dacheng
Published 2023
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