Huanrui Yang
18 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (31)
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Conference Polyglot
(7)
π
Academic Marathon
(5)
π
Renaissance Researcher
(6)
π
Grand Slam
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Century Club
(16)
ποΈ
Keyword Collector
(74)
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Prolific Year
(5)
Conferences
AAAI (4)
ICCV (4)
CVPR (3)
ICLR (2)
ICML (2)
NIPS (2)
EMNLP (1)
Top co-authors
Research topics
Keywords
model compression
(7)
vision transformer
(3)
knowledge distillation
(3)
mixture of expert
(2)
post-training quantization
(2)
adversarial training
(2)
structural pruning
(2)
parameter efficiency
(2)
adversarial learning
(1)
domain adaptation
(1)
catastrophic forgetting
(1)
image restoration
(1)
ensemble learning
(1)
uncertainty quantification
(1)
federated learning
(1)
image generation
(1)
privacy preservation
(1)
adversarial robustness
(1)
test-time adaptation
(1)
distributed learning
(1)
Papers
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
AAAI 2026
Efficient Model Specialization via Training-time and Test-time Adaptation
AAAI 2026
Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training
ICML 2025
MSQ: Memory-Efficient Bit Sparsification Quantization
ICCV 2025
SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers
ICCV 2025
FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference
EMNLP 2025
PAT: Pruning-Aware Tuning for Large Language Models
AAAI 2025
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
ICML 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
NIPS 2024
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation
AAAI 2024
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
ICCV 2023
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
CVPR 2023
Global Vision Transformer Pruning With Hessian-Aware Saliency
CVPR 2023
Q-Diffusion: Quantizing Diffusion Models
ICCV 2023
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
ICLR 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective
CVPR 2021
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
ICLR 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
NIPS 2020