Ying Jin
19 papers · 2019–2025 · 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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Century Club Β· Bronze
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Machine Learning
(13)
Artificial Intelligence
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(8)
Computer Vision
(6)
Deep Learning
(6)
Optimization & Theory
(6)
Application Areas
(5)
Core AI
(5)
Analysis
(4)
Core Methods
(4)
Architectures
(3)
Learning Paradigms
(3)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Generation
(2)
Keywords
uncertainty quantification
(3)
model compression
(2)
generalized linear model
(2)
unsupervised domain adaptation
(2)
knowledge distillation
(2)
image generation
(2)
markov decision process
(2)
conformal prediction
(2)
semantic segmentation
(2)
offline reinforcement learning
(1)
function approximation
(1)
few-shot learning
(1)
neural network pruning
(1)
multimodal learning
(1)
minimax optimization
(1)
anomaly detection
(1)
neural network optimization
(1)
pseudo labeling
(1)
sample complexity
(1)
statistical inference
(1)
Papers
Automated Hypothesis Validation with Agentic Sequential Falsifications
ICML 2025
Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
CVPR 2025
UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer
ICCV 2025
Adaptively Learning to Select-Rank in Online Platforms
ICML 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
NeurIPS 2024
Feasible Q-Learning for Average Reward Reinforcement Learning
AISTATS 2024
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data
JMLR 2023
Multi-Level Logit Distillation
CVPR 2023
Selection by Prediction with Conformal p-values
JMLR 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
NeurIPS 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
NeurIPS 2023
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
ICML 2023
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
NeurIPS 2022
Should All Proposals Be Treated Equally in Object Detection?
ECCV 2022
Few-Shot Object Detection via Association and DIscrimination
NeurIPS 2021
Is Pessimism Provably Efficient for Offline RL?
ICML 2021
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model
ICML 2020
Minimum Class Confusion for Versatile Domain Adaptation
ECCV 2020
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
NeurIPS 2019