Ying Jin
19 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Academic Marathon (6)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(12)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(87)
β
The Questioner
(2)
π₯
Unstoppable
(7)
π
Century Club
(19)
Conferences
NIPS (6)
ICML (5)
CVPR (2)
ECCV (2)
JMLR (2)
AISTATS (1)
ICCV (1)
Top co-authors
Keywords
uncertainty quantification
(3)
unsupervised domain adaptation
(2)
semantic segmentation
(2)
image generation
(2)
knowledge distillation
(2)
model compression
(2)
markov decision process
(2)
conformal prediction
(2)
offline reinforcement learning
(1)
function approximation
(1)
few-shot learning
(1)
neural network pruning
(1)
minimax optimization
(1)
multimodal learning
(1)
anomaly detection
(1)
neural network optimization
(1)
pseudo labeling
(1)
sample complexity
(1)
statistical inference
(1)
semi-supervised learning
(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
Feasible $Q$-Learning for Average Reward Reinforcement Learning
AISTATS 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
NIPS 2024
Adaptively Learning to Select-Rank in Online Platforms
ICML 2024
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
ICML 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data
JMLR 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
NIPS 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
NIPS 2023
Multi-Level Logit Distillation
CVPR 2023
Selection by Prediction with Conformal p-values
JMLR 2023
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
NIPS 2022
Should All Proposals Be Treated Equally in Object Detection?
ECCV 2022
Few-Shot Object Detection via Association and DIscrimination
NIPS 2021
Is Pessimism Provably Efficient for Offline RL?
ICML 2021
Minimum Class Confusion for Versatile Domain Adaptation
ECCV 2020
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model
ICML 2020
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
NIPS 2019