Zheng Zhan
17 papers · 2019–2025 · 9 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
Jump to papers ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(17)
π
Grand Slam
π¬
Deep Specialist
(10)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(79)
Top co-authors
Research topics
Machine Learning
(15)
Application Areas
(13)
Deep Learning
(12)
Optimization & Theory Β· Deep Learning
(6)
Computer Vision
(5)
Architectures
(5)
Artificial Intelligence
(4)
Core AI
(4)
Models
(4)
Optimization & Theory Β· Machine Learning
(4)
Processing
(3)
Core Methods
(2)
Generation
(2)
Learning Types
(2)
Techniques
(2)
Keywords
model compression
(8)
diffusion model
(4)
state space model
(3)
compiler optimization
(3)
mobile inference
(3)
neural architecture search
(3)
catastrophic forgetting
(3)
gan
(2)
image classification
(2)
model efficiency
(2)
memory efficiency
(2)
real-time inference
(2)
deep neural network
(2)
edge computing
(2)
neural network optimization
(2)
model pruning
(2)
sparse training
(2)
continual learning
(2)
image editing
(1)
class-incremental learning
(1)
Papers
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
IJCAI 2025
Sparse Learning for State Space Models on Mobile
ICLR 2025
DiffClass: Diffusion-Based Class Incremental Learning
ECCV 2024
E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
ICML 2024
Efficient Training with Denoised Neural Weights
ECCV 2024
Exploring Token Pruning in Vision State Space Models
NeurIPS 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
NeurIPS 2024
Rethinking Token Reduction for State Space Models
EMNLP 2024
Search for Efficient Large Language Models
NeurIPS 2024
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
ICML 2023
Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution
ECCV 2022
SparCL: Sparse Continual Learning on the Edge
NeurIPS 2022
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search
ICCV 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NeurIPS 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
CVPR 2021
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization
IJCAI 2020
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
AAAI 2019