Huanyu Zhang
15 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(7)
🗃️
Keyword Collector
(54)
💎
Century Club
(15)
🔥
Unstoppable
(6)
❓
The Questioner
Conferences
ICML (7)
COLT (2)
NIPS (2)
AISTATS (1)
ALT (1)
ICLR (1)
JMLR (1)
Top co-authors
Research topics
Keywords
differential privacy
(8)
distribution estimation
(5)
local differential privacy
(3)
privacy-preserving learning
(2)
sample complexity
(2)
local privacy
(2)
hypothesis testing
(2)
structure learning
(1)
statistical learning theory
(1)
federated learning
(1)
gaussian process
(1)
ising model
(1)
statistical estimation
(1)
sensitivity analysis
(1)
communication efficiency
(1)
sequential decision-making
(1)
parameter learning
(1)
distribution testing
(1)
stochastic convex optimization
(1)
robust 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
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
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization
NIPS 2023
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
ICML 2022
Robust Estimation for Random Graphs
COLT 2022
Robust Testing and Estimation under Manipulation Attacks
ICML 2021
Differentially Private Assouad, Fano, and Le Cam
ALT 2021
Privately Learning Markov Random Fields
ICML 2020
Locally Private Hypothesis Selection
COLT 2020
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
AISTATS 2019
INSPECTRE: Privately Estimating the Unseen
ICML 2018
Differentially Private Testing of Identity and Closeness of Discrete Distributions
NIPS 2018