Yuqing Zhu
15 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (6)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(6)
🧭
Keyword Pioneer
🏆
Keyword Champion
(3)
🤝
Dynamic Duo
(12)
🗃️
Keyword Collector
(57)
💎
Century Club
(15)
🔥
Unstoppable
(7)
📈
Trend Setter
Conferences
AISTATS (4)
ICML (3)
CVPR (2)
NIPS (2)
ACL (1)
IJCAI (1)
JMLR (1)
UAI (1)
Top co-authors
Research topics
Keywords
differential privacy
(8)
teacher ensemble
(3)
privacy-preserving machine learning
(2)
active learning
(2)
renyi differential privacy
(2)
event camera
(1)
face recognition
(1)
time series anomaly detection
(1)
multi-label classification
(1)
renyi divergence
(1)
in-context learning
(1)
person re-identification
(1)
fourier analysis
(1)
model aggregation
(1)
nearest neighbor
(1)
knowledge distillation
(1)
privacy-preserving learning
(1)
privacy preserving
(1)
data valuation
(1)
self-supervised learning
(1)
Papers
TokenShapley: Token Level Context Attribution with Shapley Value
ACL 2025
Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning
ICML 2025
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
IJCAI 2024
SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras
CVPR 2024
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
ICML 2024
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
AISTATS 2023
A Privacy-Friendly Approach to Data Valuation
NIPS 2023
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter
UAI 2023
Optimal Accounting of Differential Privacy via Characteristic Function
AISTATS 2022
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE
AISTATS 2022
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
JMLR 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
AISTATS 2021
Private-kNN: Practical Differential Privacy for Computer Vision
CVPR 2020
Improving Sparse Vector Technique with Renyi Differential Privacy
NIPS 2020
Poission Subsampled Rényi Differential Privacy
ICML 2019