Yiwei Lu
8 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
π
Grand Slam
π
Conference Pioneer
Conferences
AAAI (3)
ICML (2)
ECCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
model compression
(1)
semantic segmentation
(1)
image segmentation
(1)
metric learning
(1)
image generation
(1)
data poisoning
(1)
motion analysis
(1)
similarity learning
(1)
video understanding
(1)
manifold structure
(1)
kernel matrix
(1)
optical flow
(1)
diffusion model
(1)
proximal operator
(1)
gradient approximation
(1)
gradient attack
(1)
weight quantization
(1)
model poisoning
(1)
neural network binarization
(1)
binary neural network
(1)
Papers
Demystifying Foreground-Background Memorization in Diffusion Models
AAAI 2026
MVGD-Net: A Novel Motion-aware Video Glass Surface Detection Method
AAAI 2026
Machine Unlearning Fails to Remove Data Poisoning Attacks
ICLR 2025
Disguised Copyright Infringement of Latent Diffusion Models
ICML 2024
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
ICML 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
NIPS 2023
Few-Shot Scene-Adaptive Anomaly Detection
ECCV 2020
Similarity Learning via Kernel Preserving Embedding
AAAI 2019