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Yu, Felix X.
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1

Modeling Attributes from Category-Attribute Proportions:

, In: Proceedings of the 22nd ACM international conference on Multimedia,
Yu, Felix X. ; Cao, Liangliang ; Merler, Michele... - p. 977-980 , 2014
Link: https://dl.acm.org/doi/1..
 
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2

Object-Based Visual Sentiment Concept Analysis and Applicat..:

, In: Proceedings of the 22nd ACM international conference on Multimedia,
Chen, Tao ; Yu, Felix X. ; Chen, Jiawei... - p. 367-376 , 2014
Link: https://dl.acm.org/doi/1..
 
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3

Minimally Needed Evidence for Complex Event Recognition in ..:

, In: Proceedings of International Conference on Multimedia Retrieval,
Bhattacharya, Subhabrata ; Yu, Felix X. ; Chang, Shih-Fu - p. 105-112 , 2014
Link: https://dl.acm.org/doi/1..
 
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4

Active query sensing : Suggesting the best query view fo..:

Ji, Rongrong ; Yu, Felix X. ; Zhang, Tongtao.
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).  8 (2012)  3s - p. 1-21 , 2012
Link: https://dl.acm.org/doi/1..
 
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5

Active query sensing: Suggesting the best query view for mo..:

Ji, Rongrong ; Yu, Felix X. ; Zhang, Tongtao.
ACM Transactions on Multimedia Computing, Communications, and Applications.  8 (2012)  3s - p. 1-21 , 2012
Link: https://doi.org/10.1145/..
 
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6

Intelligent query formulation for mobile visual search:

, In: Proceedings of the 19th ACM international conference on Multimedia,
Yu, Felix X. - p. 861-862 , 2011
Link: https://dl.acm.org/doi/1..
 
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7

A mobile location search system with active query sensing:

, In: Proceedings of the 19th ACM international conference on Multimedia,
Yu, Felix X. ; Ji, Rongrong ; Zhang, Tongtao. - p. 805-806 , 2011
Link: https://dl.acm.org/doi/1..
 
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8

Active query sensing for mobile location search:

, In: Proceedings of the 19th ACM international conference on Multimedia,
Yu, Felix X. ; Ji, Rongrong ; Chang, Shih-Fu - p. 3-12 , 2011
Link: https://dl.acm.org/doi/1..
 
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9

Automatic Engineering of Long Prompts:

Hsieh, Cho-Jui ; Si, Si ; Yu, Felix X.
http://arxiv.org/abs/2311.10117.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

FedLite: A Scalable Approach for Federated Learning on Reso..:

Wang, Jianyu ; Qi, Hang ; Rawat, Ankit Singh...
http://arxiv.org/abs/2201.11865.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

Advances and Open Problems in Federated Learning:

Kairouz, Peter ; Mcmahan, Brendan, H ; Avent, Brendan...
info:eu-repo/semantics/altIdentifier/arxiv/1912.04977.  , 2021
Link: https://inria.hal.scienc..
 
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12

Disentangling Sampling and Labeling Bias for Learning in La..:

Rawat, Ankit Singh ; Menon, Aditya Krishna ; Jitkrittum, Wittawat...
http://arxiv.org/abs/2105.05736.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Advances and open problems in federated learning:

Kairouz, P. (Peter) ; McMahan, H. B. (H. Brendan) ; Avent, B. (Brendan)... , 2021
Link: http://urn.fi/urn:nbn:fi..
 
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14

Advances and Open Problems in Federated Learning:

Kairouz, Peter ; Mcmahan, Brendan, H ; Avent, Brendan...
info:eu-repo/semantics/altIdentifier/arxiv/1912.04977.  , 2021
Link: https://inria.hal.scienc..
 
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15

A Field Guide to Federated Optimization:

Wang, Jianyu ; Charles, Zachary ; Xu, Zheng...
http://arxiv.org/abs/2107.06917.  , 2021
Link: http://arxiv.org/abs/210..
 
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