Zhen Zhao
26 papers · 2020–2025 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(21)
Learning Types Β· Machine Learning
(17)
Application Areas
(7)
Artificial Intelligence
(6)
Computer Vision
(6)
Deep Learning
(6)
Analysis
(6)
Core AI
(6)
Core Methods
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(3)
Optimization & Theory
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Natural Language Processing
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Healthcare & Medicine
(1)
Keywords
semi-supervised learning
(9)
data augmentation
(3)
domain adaptation
(2)
contrastive loss
(2)
pseudo labeling
(2)
semantic segmentation
(2)
consistency regularization
(2)
speech emotion recognition
(2)
few-shot learning
(2)
scene text recognition
(2)
benchmark evaluation
(1)
entropy minimization
(1)
label propagation
(1)
visual question answering
(1)
image classification
(1)
imitation learning
(1)
catastrophic forgetting
(1)
knowledge distillation
(1)
attention mechanism
(1)
vision transformer
(1)
Papers
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
CVPR 2025
MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
ACL 2025
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
RSS 2025
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
ICLR 2025
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
ECCV 2024
Depth Anything V2
NeurIPS 2024
Harmonizing Visual Text Comprehension and Generation
NeurIPS 2024
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
CVPR 2024
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds
ECCV 2024
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
AAAI 2024
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
CVPR 2023
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
CVPR 2023
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
CVPR 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
ICCV 2023
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation
CVPR 2023
Multi-Level Knowledge Distillation for Speech Emotion Recognition in Noisy Conditions
Interspeech 2023
Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling
CVPR 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
ICCV 2023
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models
ICCV 2023
Towards Semi-supervised Learning with Non-random Missing Labels
ICCV 2023
DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning
CVPR 2022
Discriminative Feature Representation Based on Cascaded Attention Network with Adversarial Joint Loss for Speech Emotion Recognition
Interspeech 2022
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
NeurIPS 2022
LaSSL: Label-Guided Self-Training for Semi-supervised Learning
AAAI 2022
Active Crowd Counting with Limited Supervision
ECCV 2020
Adaptive Object Detection with Dual Multi-Label Prediction
ECCV 2020