Zhan Zhuang
9 papers · 2024–2026 · 6 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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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🏆
Grand Slam
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(7)
Deep Learning
(6)
Core AI
(5)
Machine Learning
(4)
Learning Paradigms
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Application Areas
(2)
Architectures
(2)
Models
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Keywords
low-rank adaptation
(4)
diffusion model
(2)
knowledge distillation
(2)
unsupervised domain adaptation
(2)
image generation
(1)
domain generalization
(1)
catastrophic forgetting
(1)
multi-task learning
(1)
pre-trained model
(1)
neural network optimization
(1)
parameter optimization
(1)
lifelong learning
(1)
generative model
(1)
foundation model
(1)
gradient flow
(1)
domain adaptation
(1)
link prediction
(1)
parameter-efficient fine-tuning
(1)
continual learning
(1)
model compression
(1)
Papers
HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning
CVPR 2026
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation
ICML 2025
HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models
ICLR 2025
Moonshine: Distilling Game Content Generators into Steerable Generative Models
AAAI 2025
MTSAM: Multi-Task Fine-Tuning for Segment Anything Model
ICLR 2025
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
ICML 2025
PLAN: Proactive Low-Rank Allocation for Continual Learning
ICCV 2025
Gradual Domain Adaptation via Gradient Flow
ICLR 2024
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
NeurIPS 2024