Yuguang Yao
14 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
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Conferences
NIPS (4)
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ACL (1)
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IJCAI (1)
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Research topics
Keywords
adversarial attack
(2)
weight sparsity
(2)
benchmark evaluation
(1)
image generation
(1)
model security
(1)
data poisoning
(1)
causal reasoning
(1)
rule learning
(1)
supervised learning
(1)
model architecture
(1)
text-to-image generation
(1)
machine unlearning
(1)
neural network optimization
(1)
model pruning
(1)
minimum description length
(1)
transfer learning
(1)
data privacy
(1)
bilevel optimization
(1)
few-shot learning
(1)
reinforcement learning
(1)
Papers
RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning
ACL 2026
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
WACV 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
ICML 2025
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation
EMNLP 2025
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
NIPS 2024
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
NIPS 2024
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
ICLR 2024
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection
WACV 2024
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
CVPR 2023
Model Sparsity Can Simplify Machine Unlearning
NIPS 2023
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
ICLR 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
ICLR 2022
Advancing Model Pruning via Bi-level Optimization
NIPS 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
IJCAI 2022