Huanyu Zhang
15 papers · 2018–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(12)
Optimization & Theory
(11)
Application Areas
(9)
Mathematics & Optimization
(7)
Security & Privacy
(6)
Differential Privacy
(6)
Artificial Intelligence
(5)
Core AI
(4)
Mathematics
(4)
Core Methods
(3)
Learning Types
(3)
Optimization
(2)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Probability
(1)
Keywords
differential privacy
(8)
distribution estimation
(5)
local differential privacy
(4)
sample complexity
(3)
privacy-preserving learning
(2)
local privacy
(2)
multimodal large language model
(2)
hypothesis testing
(2)
structure learning
(1)
statistical learning theory
(1)
federated learning
(1)
ising model
(1)
gaussian process
(1)
sequential decision making
(1)
benchmark evaluation
(1)
robust estimation
(1)
sensitivity analysis
(1)
visual question answering
(1)
stochastic convex optimization
(1)
statistical estimation
(1)
Papers
Imagine While Reasoning in Space: Multimodal Visualization-of-Thought
ICML 2025
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
ICLR 2025
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
ICML 2025
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization
NeurIPS 2023
Federated Linear Contextual Bandits with User-level Differential Privacy
ICML 2023
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data
JMLR 2023
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
ICML 2022
Robust Estimation for Random Graphs
COLT 2022
Differentially Private Assouad, Fano, and Le Cam
ALT 2021
Robust Testing and Estimation under Manipulation Attacks
ICML 2021
Locally Private Hypothesis Selection
COLT 2020
Privately Learning Markov Random Fields
ICML 2020
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
AISTATS 2019
Differentially Private Testing of Identity and Closeness of Discrete Distributions
NeurIPS 2018
INSPECTRE: Privately Estimating the Unseen
ICML 2018