Deliang Fan
20 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (6) π Academic Marathon (7) πΊοΈ Taxonomy Completionist (45)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(6)
π€
Dynamic Duo
(13)
β‘
Prolific Year
(7)
π
Century Club
(20)
π
Trend Setter
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(87)
Conferences
CVPR (9)
NIPS (4)
AAAI (3)
WACV (2)
ICCV (1)
ICLR (1)
Top co-authors
Research topics
Keywords
model compression
(7)
adversarial attack
(4)
self-supervised learning
(4)
bit-flip attack
(3)
image classification
(2)
neural network
(2)
novel view synthesis
(2)
neural network optimization
(2)
memory efficiency
(2)
continual learning
(2)
contrastive learning
(2)
feature learning
(2)
neural network quantization
(2)
lightweight model
(2)
knowledge distillation
(2)
adversarial training
(2)
model robustness
(2)
3d gaussian splatting
(2)
catastrophic forgetting
(2)
neural network security
(1)
Papers
SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction
WACV 2026
MFNeRF: Memory Efficient NeRF with Mixed-Feature Hash Table
WACV 2025
Closest Neighbors are Harmful for Lightweight Masked Auto-encoders
CVPR 2025
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning
AAAI 2024
LP-3DGS: Learning to Prune 3D Gaussian Splatting
NIPS 2024
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
NIPS 2023
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
NIPS 2022
Get More at Once: Alternating Sparse Training with Gradient Correction
NIPS 2022
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification
AAAI 2022
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning
CVPR 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
TBT: Targeted Neural Network Attack With Bit Trojan
CVPR 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks
AAAI 2020
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack
CVPR 2020
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search
ICCV 2019
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation
CVPR 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack
CVPR 2019