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Brian Zhang

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2020 – today

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2024
[c5]
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  - conf/icassp/ZhangY024
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Brian Zhang, Yuguang Yao, Sijia Liu:
Elevating Visual Prompting in Transfer Learning Via Pruned Model Ensembles: No Retrain, No Pain. ICASSP 2024: 6000-6004
[c4]
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Brian Zhang:
Towards Finding Accounting Errors in Smart Contracts. ICSE 2024: 138:1-138:13
2023
[c3]
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Zhuo Zhang, Brian Zhang, Wen Xu, Zhiqiang Lin:
Demystifying Exploitable Bugs in Smart Contracts. ICSE 2023: 615-627
2022
[c2]
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Brian Zhang, Shiqing Ma:
Achieving Both Model Accuracy and Robustness by Adversarial Training with Batch Norm Shaping. ICTAI 2022: 591-598

2010 – 2019

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2019
[i3]
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Jeffrey Barratt, Brian Zhang:
Cache-Friendly Search Trees; or, In Which Everything Beats std: : set. CoRR abs/1907.01631 (2019)
2018
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Yuri Chervonyi, Dragos Harabor, Brian Zhang, Josh Sacks:
Zap: Making Predictions Based on Online User Behavior. CoRR abs/1807.06046 (2018)
2017
[c1]
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Dapeng Liu, Shaochun Xu, Brian Zhang, Chunlin Wang, Chunqing Li, Feng Zhou:
Issues with conducting controlled on-line experiments for E-Commerce. SNPD 2017: 187-192
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Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman:
The Kinetics Human Action Video Dataset. CoRR abs/1705.06950 (2017)

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