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Pan Zhou(周攀)
Ph.D
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Research Interests
Deep learning theory and applications, including generalization and optimization performance analysis of
deep networks, meta learning, adversarial learning, fast algorithm design, etc.
Efficient algorithm design for noncovex/convex special/general problems.
structural data analysis, including subspace clustering and its applications in tensor data recovery and
clustering, etc.
Deep learning theory and applications, including generalization and optimization performance analysis of
deep networks, meta learning, adversarial learning, fast algorithm design, etc.
Efficient algorithm design for noncovex/convex special/general problems.
structural data analysis, including subspace clustering and its applications in tensor data recovery and
clustering, etc.
Papers28 papers
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NeurIPS, (2020)
NeurIPS, (2020)
ICML, pp.11556-11565, (2020)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 1532-1542
Cited by12EIBibtex
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp.932-940, (2019)
IEEE transactions on pattern analysis and machine intelligence, pp.1-1, (2019)
IJCAI, pp.4257-4263, (2019)
arXiv: Optimization and Control, (2019)
Cited by3Bibtex
international conference on artificial intelligence and statistics, (2019)
Cited by18Bibtex
Neurocomputing, (2018): 414-423
international conference on learning representations, (2018)
IEEE Transactions on Image Processing, no. 3 (2018): 1152-1163
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 1988-1997
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 1242-1251
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