Deliang Fan
20 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (41) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Dynamic Duo
(13)
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(20)
Deep Learning
(14)
Learning Types · Machine Learning
(12)
Application Areas
(11)
Artificial Intelligence
(10)
Core AI
(9)
Learning Types · Deep Learning
(8)
Optimization & Theory · Deep Learning
(8)
Optimization & Theory · Machine Learning
(7)
Core Methods
(4)
Computer Vision
(3)
Architectures
(3)
Techniques
(3)
Security & Privacy
(2)
Learning Paradigms
(2)
Keywords
model compression
(7)
self-supervised learning
(4)
adversarial attack
(4)
bit-flip attack
(3)
continual learning
(3)
catastrophic forgetting
(3)
neural network
(2)
image classification
(2)
novel view synthesis
(2)
neural network optimization
(2)
memory efficiency
(2)
feature learning
(2)
neural network quantization
(2)
lightweight model
(2)
model robustness
(2)
contrastive learning
(2)
knowledge distillation
(2)
adversarial training
(2)
3d gaussian splatting
(2)
neural network security
(1)
Papers
SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction
WACV 2026
Closest Neighbors are Harmful for Lightweight Masked Auto-encoders
CVPR 2025
MFNeRF: Memory Efficient NeRF with Mixed-Feature Hash Table
WACV 2025
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning
AAAI 2024
LP-3DGS: Learning to Prune 3D Gaussian Splatting
NeurIPS 2024
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
NeurIPS 2023
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
NeurIPS 2022
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning
CVPR 2022
Get More at Once: Alternating Sparse Training with Gradient Correction
NeurIPS 2022
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification
AAAI 2022
Rep-Net: Efficient On-Device Learning via Feature Reprogramming
CVPR 2022
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning
CVPR 2022
TRGP: Trust Region Gradient Projection for Continual Learning
ICLR 2022
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning
CVPR 2021
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack
CVPR 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks
AAAI 2020
TBT: Targeted Neural Network Attack With Bit Trojan
CVPR 2020
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search
ICCV 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack
CVPR 2019
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation
CVPR 2019