Ke Zhu
14 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (33) π§ Keyword Pioneer
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Century Club
(14)
ποΈ
Keyword Collector
(57)
π₯
Unstoppable
(5)
Conferences
AAAI (3)
CVPR (3)
ICML (3)
ICCV (2)
CLEAR (1)
ECCV (1)
NIPS (1)
Top co-authors
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)
parameter-efficient transfer learning
(1)
preference alignment
(1)
feature extraction
(1)
efficient computing
(1)
neural network optimization
(1)
deep learning
(1)
transfer learning
(1)
image classification
(1)
Papers
AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning
ICML 2025
All You Need in Knowledge Distillation Is a Tailored Coordinate System
AAAI 2025
Continual SFT Matches Multimodal RLHF with Negative Supervision
CVPR 2025
Quantization without Tears
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
Instance-based Max-margin for Practical Few-shot Recognition
CVPR 2024
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
NIPS 2024
Rectify the Regression Bias in Long-Tailed Object Detection
ECCV 2024
DTL: Disentangled Transfer Learning for Visual Recognition
AAAI 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