JIAWEI DU
21 papers · 2020–2026 · 8 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
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πΊοΈ Taxonomy Completionist (45) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π€ Dynamic Duo (14)
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(96)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(8)
Deep Learning
(8)
Optimization & Theory
(8)
Core AI
(7)
Computer Vision
(6)
Application Areas
(6)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Models
(4)
Domain-Specific
(3)
Healthcare & Medicine
(2)
Security & Privacy
(2)
Speech & Audio
(2)
Keywords
dataset distillation
(5)
neural network training
(3)
synthetic dataset
(3)
sharpness-aware minimization
(2)
zero-shot learning
(2)
medical imaging
(2)
deep neural network
(2)
vision-language model
(2)
domain adaptation
(2)
stochastic gradient descent
(2)
generalization error
(2)
coreset selection
(2)
adversarial attack
(2)
knowledge mining
(1)
model robustness
(1)
adversarial robustness
(1)
visual question answering
(1)
privacy preservation
(1)
efficient training
(1)
autonomous driving
(1)
Papers
Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
AAAI 2026
Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
CVPR 2026
Agent Trading Arena: A Study on Numerical Understanding in LLM-Based Agents
EMNLP 2025
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization
AAAI 2025
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
ICLR 2025
Codec-Based Deepfake Source Tracing via Neural Audio Codec Taxonomy
Interspeech 2025
Influence-Guided Diffusion for Dataset Distillation
ICLR 2025
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models
AAAI 2025
PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction
WACV 2025
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
NeurIPS 2024
MedCoT: Medical Chain of Thought via Hierarchical Expert
EMNLP 2024
Neural Codec-based Adversarial Sample Detection for Speaker Verification
Interspeech 2024
RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports
MICCAI 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
CVPR 2024
VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis
EMNLP 2024
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation
CVPR 2023
Sequential Subset Matching for Dataset Distillation
NeurIPS 2023
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
ICLR 2022
Sharpness-Aware Training for Free
NeurIPS 2022
On Robustness of Neural Ordinary Differential Equations
ICLR 2020
Query-efficient Meta Attack to Deep Neural Networks
ICLR 2020