Yaoliang Yu
67 papers · 2009–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yaoliang Yu?
10 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 Yiwei Lu, Vahid Partovi Nia, Gautam Kamath
6 papers
· 2021–2026
· NeurIPS, ICML, AAAI
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Demystifying Foreground-Background Memorization in Diffusion Models
AAAI 2026
Disguised Copyright Infringement of Latent Diffusion Models
ICML 2024
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
ICML 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
NeurIPS 2023
Demystifying and Generalizing BinaryConnect
NeurIPS 2021
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
NeurIPS 2021
4 papers whose co-authors appear nowhere else under this name
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
ICML 2024
OLALA: Object-Level Active Learning for Efficient Document Layout Annotation
EMNLP 2022
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA
ICML 2016
Efficient Structured Matrix Rank Minimization
NeurIPS 2014