Weifeng Zhang
6 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
Top co-authors
Research topics
Keywords
variational autoencoder
(2)
model compression
(1)
deep reinforcement learning
(1)
representation learning
(1)
metric learning
(1)
certified robustness
(1)
adversarial robustness
(1)
few-shot learning
(1)
domain generalization
(1)
variational inference
(1)
feature matching
(1)
adversarial training
(1)
time series forecasting
(1)
non-stationary time series
(1)
disentangled representation
(1)
randomized smoothing
(1)
robustness certification
(1)
latent space
(1)
mixed-precision quantization
(1)
neural network classifier
(1)
Papers
KMUNet: A novel medical image segmentation model based on KAN and Mamba
MICCAI 2025
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract)
AAAI 2023
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
NeurIPS 2022
Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification
CVPR 2022
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
ICLR 2021
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
AAAI 2020