Shu Yao Profile
Shu Yao

@ZCODE0

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27
Following
165
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49

Incoming Assistant Professor @ AI Trust, HKUST (GZ)

Guangdong
Joined July 2014
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@ZCODE0
Shu Yao
6 months
Hi guys! I am extremely honored to join the AI Thrust at HKUST (GZ) as an Assistant Professor in April 2025. I am recruiting Ph.D. and MPhil students for Fall 2025. Visit my personal website for more info and feel free to email for the application.
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yao.notion.site
Dr. Yao SHU (舒瑶) is now a tenure-track assistant professor of Artificial Intelligence Thrust at Hong Kong University of Science and Technology (Guangzhou), starting from April 8, 2025. He was...
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@ZCODE0
Shu Yao
5 months
LLMs struggling with prompt variations? 🤔 PAFT (Prompt-Agnostic Fine-Tuning) to the rescue! 🚀 We fine-tune for robustness, achieving state-of-the-art performance. Read the paper: #AI #NLP #LLMs #Prompt #Robustness
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@ZCODE0
Shu Yao
9 months
Follow is now a lifesaver for me!
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@ZCODE0
Shu Yao
11 months
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@ZCODE0
Shu Yao
1 year
RT @bryanklow: Visit the poster of @ZCODE0 @xiaoqiang_98 @Dai_Zh et al. on Federated #ZerothOrderOptimization at @icmlconf #ICML2024 Worksh….
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@ZCODE0
Shu Yao
1 year
RT @bryanklow: The #ICLR2024 @iclr_conf work of @he_zhenfeng @Dai_Zh @ZCODE introduces RoBoT🤖 to robustify and boost training-free #NeuralA….
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@ZCODE0
Shu Yao
1 year
RT @bryanklow: Our research group & collaborators have put together 4 chapters in the #FederatedLearning: Theory and Practice book: fairnes….
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@ZCODE0
Shu Yao
2 years
RT @bryanklow: When using #ChatGPT, how do u decide what instruction to give it?. Joint work on Automatic Promptin….
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@ZCODE0
Shu Yao
2 years
RT @bryanklow: Congrats to @ZCODE0 for winning the best Ph.D. thesis award in 2023 @NUSComputing! . His thesis topic is on #NeuralArchitect….
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@ZCODE0
Shu Yao
2 years
RT @bryanklow: The #ICLR2023 work of @ZCODE0 @Dai_Zh weicong @arun_v3rma @pjaillet @bryanklow proposes a query-efficient Zeroth-Order Optim….
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@ZCODE0
Shu Yao
2 years
RT @bryanklow: The #ICLR2023 work of @Dai_Zh @ZCODE0 @arun_v3rma @Flint_xf_Fan @bryanklow @pjaillet proposes the first federated neural con….
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@ZCODE0
Shu Yao
3 years
This is the first unified theoretical study to explain why existing training-free NAS algorithms perform well in practice and how to further improve them. We believe this work can help/inspire existing training-free NAS and also the follow-ups to behave more soundly in practice.
@bryanklow
Bryan Kian Hsiang Low
3 years
To understand and boost gradient-based #TrainingFree #NeuralArchitectureSearch algorithms, the #NeurIPS2022 work of @ZCODE0 @Dai_Zh @WuZhaoxuan @bryanklow provides the first unified theoretical study and principled improvement for them based on theory of #NeuralTangentKernel.
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@ZCODE0
Shu Yao
3 years
RT @bryanklow: The #NeurIPS2022 work of @Dai_Zh @ZCODE0 @bryanklow @pjaillet introduces theoretically grounded batch #BayesianOptimization….
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@ZCODE0
Shu Yao
3 years
RT @bryanklow: To fairly trade off betw payoff & model rewards in collaborative ML, the #NeurIPS2022 work of @qphong @bryanklow @pjaillet r….
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@ZCODE0
Shu Yao
3 years
RT @bryanklow: Postdoc & RA positions in #DataCentricAI Collaborative ML/#FederatedLearning #DataValuation Incentive-Aware Mechanism Design….
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