Ke Zhu
15 papers · 2021–2026 · 7 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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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Sprint π Century Club Β· Bronze
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Keyword Collector
(78)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Research topics
Machine Learning
(10)
Deep Learning
(8)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Techniques
(5)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Computer Vision
(3)
Reinforcement Learning
(2)
Analysis
(2)
Methods
(2)
Models
(2)
Optimization & Theory
(2)
Keywords
model compression
(4)
representation learning
(2)
few-shot learning
(2)
knowledge distillation
(2)
self-supervised learning
(2)
multi-label classification
(2)
network quantization
(2)
vision transformer
(1)
contrastive learning
(1)
causal inference
(1)
direct preference optimization
(1)
knowledge transfer
(1)
deep learning
(1)
preference alignment
(1)
feature extraction
(1)
visual reasoning
(1)
human-object interaction
(1)
image captioning
(1)
transfer learning
(1)
image classification
(1)
Papers
Enhancing Descriptive Captions with Visual Attributes for Multimodal Perception
CVPR 2026
All You Need in Knowledge Distillation Is a Tailored Coordinate System
AAAI 2025
AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning
ICML 2025
Continual SFT Matches Multimodal RLHF with Negative Supervision
CVPR 2025
Doubly Robust Fusion of Many Treatments for Policy Learning
ICML 2025
Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing
ICML 2025
Quantization without Tears
CVPR 2025
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
NeurIPS 2024
DTL: Disentangled Transfer Learning for Visual Recognition
AAAI 2024
Instance-based Max-margin for Practical Few-shot Recognition
CVPR 2024
Rectify the Regression Bias in Long-Tailed Object Detection
ECCV 2024
Multi-Label Self-Supervised Learning with Scene Images
ICCV 2023
Quantized Feature Distillation for Network Quantization
AAAI 2023
Info Intervention and its Causal Calculus
CLeaR 2022
Residual Attention: A Simple but Effective Method for Multi-Label Recognition
ICCV 2021