← Authors

Deliang Fan

20 papers · 2019–2026 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (45) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🀝 Dynamic Duo (13) ⚑ Prolific Year (7) πŸ’Ž Century Club (20) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (87)

Conferences

CVPR (9) NIPS (4) AAAI (3) WACV (2) ICCV (1) ICLR (1)

Top co-authors

Li Yang (13) Zhezhi He (8) Adnan Siraj Rakin (7) Jae-sun Seo (4) Jian Meng (4) Jinwoo Shin (3) Jingtao Li (3) Chaitali Chakrabarti (3) Yongjae Lee (3) Junshan Zhang (3)

Research topics

Privacy (2) Core AI (1)

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