Zheng Zhan
17 papers · 2019–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (6)
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Hot Topic Early Bird
π
Cross-Pollinator
(11)
πΊοΈ
Taxonomy Completionist
(28)
π€
Dynamic Duo
(17)
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(17)
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(63)
β‘
Prolific Year
(7)
π₯
Unstoppable
(7)
Conferences
NIPS (5)
ECCV (3)
ICML (2)
IJCAI (2)
AAAI (1)
CVPR (1)
EMNLP (1)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
model compression
(7)
neural architecture search
(3)
mobile inference
(3)
continual learning
(2)
image classification
(2)
memory efficiency
(2)
model efficiency
(2)
edge computing
(2)
catastrophic forgetting
(2)
real-time inference
(2)
deep neural network
(2)
sparse training
(2)
neural network optimization
(2)
state space model
(2)
compiler optimization
(2)
model pruning
(2)
efficient computing
(1)
multi-task learning
(1)
network pruning
(1)
vision transformer
(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
Exploring Token Pruning in Vision State Space Models
NIPS 2024
Search for Efficient Large Language Models
NIPS 2024
Efficient Training with Denoised Neural Weights
ECCV 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
NIPS 2024
DiffClass: Diffusion-Based Class Incremental Learning
ECCV 2024
Rethinking Token Reduction for State Space Models
EMNLP 2024
E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
ICML 2024
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
ICML 2023
SparCL: Sparse Continual Learning on the Edge
NIPS 2022
Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution
ECCV 2022
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
CVPR 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NIPS 2021
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search
ICCV 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