Weijie Su
31 papers · 2014–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Weijie Su?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Hangfeng He, Qi Long, Shuxiao Chen
8 papers
· 2020–2024
· ICML, NeurIPS, COLT
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Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
COLT 2024
A Central Limit Theorem for Differentially Private Query Answering
NeurIPS 2021
Federated f-Differential Privacy
AISTATS 2021
Toward Better Generalization Bounds with Locally Elastic Stability
ICML 2021
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
NeurIPS 2020
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
ICML 2020
The Local Elasticity of Neural Networks
ICLR 2020
Towards Understanding the Dynamics of the First-Order Adversaries
ICML 2020
5 papers whose co-authors appear nowhere else under this name
Eliciting Honest Information from Authors Using Sequential Review
AAAI 2024
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy
NeurIPS 2023
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
NeurIPS 2022
Oneshot Differentially Private Top-k Selection
ICML 2021
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism
NeurIPS 2021