Bingyi Jing
10 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(4)
Application Areas
(4)
Core AI
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(2)
Learning Types
(2)
Models
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Core Methods
(1)
Generation
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
knowledge distillation
(2)
image super-resolution
(2)
conformal prediction
(2)
offline reinforcement learning
(2)
uncertainty quantification
(2)
diffusion model
(2)
model compression
(2)
early stopping
(1)
policy iteration
(1)
data augmentation
(1)
downstream task
(1)
distribution shift
(1)
kullback-leibler divergence
(1)
prediction interval
(1)
scaling law
(1)
image quality assessment
(1)
flow matching
(1)
out-of-distribution detection
(1)
text-to-image generation
(1)
semi-supervised learning
(1)
Papers
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score
CVPR 2026
Toward Early Quality Assessment of Text-to-Image Diffusion Models
CVPR 2026
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
ICLR 2025
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
ICLR 2025
Exploring Learning Complexity for Efficient Downstream Dataset Pruning
ICLR 2025
Fine-tuning can Help Detect Pretraining Data from Large Language Models
ICLR 2025
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution
ICLR 2025
Parametric Scaling Law of Tuning Bias in Conformal Prediction
ICML 2025
TorchCP: A Python Library for Conformal Prediction
JMLR 2025
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
NeurIPS 2023