Zhen Zhao
26 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (9)
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Conference Polyglot
(9)
🏃
Academic Marathon
(5)
🐣
Hot Topic Early Bird
👥
Mega-Team
(37)
🤝
Dynamic Duo
(13)
🔬
Deep Specialist
(11)
💎
Century Club
(26)
🗃️
Keyword Collector
(92)
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Prolific Year
(10)
Conferences
CVPR (8)
ECCV (4)
ICCV (4)
NIPS (3)
AAAI (2)
INTERSPEECH (2)
ACL (1)
ICLR (1)
RSS (1)
Top co-authors
Keywords
semi-supervised learning
(9)
data augmentation
(3)
consistency regularization
(2)
semantic segmentation
(2)
contrastive loss
(2)
pseudo labeling
(2)
speech emotion recognition
(2)
scene text recognition
(2)
few-shot learning
(2)
domain adaptation
(2)
visual question answering
(1)
label propagation
(1)
entropy minimization
(1)
noisy label learning
(1)
benchmark evaluation
(1)
continual learning
(1)
in-context learning
(1)
imitation learning
(1)
knowledge distillation
(1)
attention mechanism
(1)
Papers
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
RSS 2025
MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
ACL 2025
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
CVPR 2025
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
ICLR 2025
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
AAAI 2024
Harmonizing Visual Text Comprehension and Generation
NIPS 2024
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
ECCV 2024
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds
ECCV 2024
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
CVPR 2024
Depth Anything V2
NIPS 2024
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
CVPR 2023
Multi-Level Knowledge Distillation for Speech Emotion Recognition in Noisy Conditions
INTERSPEECH 2023
Towards Semi-supervised Learning with Non-random Missing Labels
ICCV 2023
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models
ICCV 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
ICCV 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
ICCV 2023
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
CVPR 2023
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation
CVPR 2023
Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling
CVPR 2023
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
CVPR 2023
LaSSL: Label-Guided Self-Training for Semi-supervised Learning
AAAI 2022
Discriminative Feature Representation Based on Cascaded Attention Network with Adversarial Joint Loss for Speech Emotion Recognition
INTERSPEECH 2022
DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning
CVPR 2022
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
NIPS 2022
Adaptive Object Detection with Dual Multi-Label Prediction
ECCV 2020
Active Crowd Counting with Limited Supervision
ECCV 2020