Huanrui Yang
18 papers · 2020–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze
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Prolific Year · Productive
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Research topics
Machine Learning
(18)
Application Areas
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Deep Learning
(12)
Artificial Intelligence
(9)
Core AI · Artificial Intelligence
(8)
Optimization & Theory · Machine Learning
(7)
Computer Vision
(5)
Architectures
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Learning Types
(5)
Optimization & Theory · Deep Learning
(5)
Core Methods
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Techniques
(4)
Core AI · Computer Vision
(3)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Keywords
model compression
(8)
adversarial training
(3)
vision transformer
(3)
knowledge distillation
(3)
neural network quantization
(2)
bit-level sparsity
(2)
parameter efficiency
(2)
mixture of expert
(2)
structural pruning
(2)
post-training quantization
(2)
catastrophic forgetting
(1)
domain adaptation
(1)
image restoration
(1)
ensemble learning
(1)
image generation
(1)
representation learning
(1)
adversarial robustness
(1)
test-time adaptation
(1)
multi-task learning
(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
FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference
EMNLP 2025
MSQ: Memory-Efficient Bit Sparsification Quantization
ICCV 2025
PAT: Pruning-Aware Tuning for Large Language Models
AAAI 2025
SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers
ICCV 2025
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation
AAAI 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
NeurIPS 2024
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
ICML 2024
Global Vision Transformer Pruning With Hessian-Aware Saliency
CVPR 2023
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
CVPR 2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
ICCV 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
NeurIPS 2020