Huandong Wang
8 papers · 2023–2026 · 5 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.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Deep Learning
(4)
Application Areas
(4)
Architectures
(4)
Core AI
(4)
Learning Types · Machine Learning
(3)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Applications
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
large language model
(3)
membership inference attack
(2)
privacy attack
(1)
sentiment analysis
(1)
optimal transport
(1)
self-supervised learning
(1)
probability distribution
(1)
privacy risk
(1)
time series forecasting
(1)
parameter sharing
(1)
energy landscape
(1)
false positive rate
(1)
generative model
(1)
physics-informed learning
(1)
differential equation
(1)
privacy-preserving learning
(1)
role-playing agent
(1)
progressive training
(1)
fokker-planck equation
(1)
imitation learning
(1)
Papers
FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting
AAAI 2026
Progressive Supernet Training for Efficient Visual Autoregressive Modeling
CVPR 2026
WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network
AAAI 2026
Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents
ACL 2025
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector
AAAI 2025
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
ICLR 2025
Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration
NeurIPS 2024
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
AAAI 2023