Yan Pang
11 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Achievements
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Renaissance Researcher
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Research topics
Artificial Intelligence
(8)
Machine Learning
(5)
Core AI Β· Artificial Intelligence
(5)
Deep Learning
(4)
Architectures
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications Β· Data Science & Analytics
(2)
Models
(2)
Reinforcement Learning
(1)
Applications Β· Natural Language Processing
(1)
Core AI Β· Computer Vision
(1)
Keywords
federated learning
(4)
vision-language model
(2)
graph neural network
(2)
differential privacy
(1)
domain adaptation
(1)
embedding
(1)
adversarial learning
(1)
multimodal learning
(1)
privacy preservation
(1)
data valuation
(1)
sparsity
(1)
closed-form solution
(1)
secure aggregation
(1)
incentive mechanism
(1)
generative model
(1)
implicit neural representation
(1)
synthetic data
(1)
poisoning attack
(1)
privacy-utility trade-off
(1)
knowledge distillation
(1)
Papers
Implicit Neural Representation with Multi-Scale Sine Activation
AAAI 2026
SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models
ACL 2026
Closed-form Solutions: A New Perspective on Solving Differential Equations
ICML 2025
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
EMNLP 2025
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
ICML 2025
Data Valuation and Detections in Federated Learning
CVPR 2024
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs
EMNLP 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation
NeurIPS 2024
Split-and-Denoise: Protect large language model inference with local differential privacy
ICML 2024
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
ICLR 2023
Vertical Federated Graph Neural Network for Recommender System
ICML 2023