Ling Liang
7 papers · 2018–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Analysis
(2)
Architectures
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Core Methods
(1)
Models
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
adversarial robustness
(2)
spiking neural network
(2)
neural network pruning
(1)
image classification
(1)
reinforcement learning
(1)
image generation
(1)
domain generalization
(1)
matrix factorization
(1)
deepfake detection
(1)
matrix completion
(1)
manifold optimization
(1)
nuclear norm regularization
(1)
adversarial attack
(1)
diffusion model
(1)
adversarial perturbation
(1)
reward hacking
(1)
denoising process
(1)
surrogate gradient
(1)
adversarial example
(1)
face forgery detection
(1)
Papers
A Sanity Check for Multi-In-Domain Face Forgery Detection in the Real World
CVPR 2026
Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models?
CVPR 2026
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients
CVPR 2025
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition
JMLR 2024
Toward Robust Spiking Neural Network Against Adversarial Perturbation
NeurIPS 2022
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
NeurIPS 2021
TETRIS: TilE-matching the TRemendous Irregular Sparsity
NeurIPS 2018