Zhen Lin
12 papers · 2018–2026 · 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
Jump to papers ↓+7 more ↓ Show less ↑
๐บ๏ธ Taxonomy Completionist (31) ๐ Conference Polyglot ยท Silver ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Bronze ๐ฃ Hot Topic Early Bird
๐
Grand Slam
๐งฌ
Topic Evolution
๐
Keyword Champion
๐
Triple Crown
๐๏ธ
Keyword Collector
(67)
๐
Century Club ยท Bronze
๐
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(6)
Deep Learning
(5)
Application Areas
(5)
Optimization & Theory
(5)
Learning Types
(4)
Healthcare & Medicine
(3)
Architectures
(3)
Core Methods
(3)
Techniques
(3)
Clinical
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
conformal prediction
(4)
uncertainty quantification
(3)
prediction interval
(2)
kernel density estimation
(2)
multi-label classification
(1)
time series
(1)
medical imaging
(1)
question answering
(1)
density estimation
(1)
text generation
(1)
natural language generation
(1)
confidence calibration
(1)
fault tolerance
(1)
covariate shift
(1)
attention mechanism
(1)
performance optimization
(1)
classification with rejection
(1)
probability calibration
(1)
deep learning model
(1)
risk management
(1)
Papers
AutoFigure-Edit: Generating Editable Scientific Illustrations via Reference-Guided Styling
ACL 2026
Certifiably Byzantine-Robust Federated Conformal Prediction
ICML 2024
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
EMNLP 2024
Nomad: Non-Exclusive Memory Tiering via Transactional Page Migration
OSDI 2024
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift
NeurIPS 2023
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
ICML 2023
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
ICLR 2023
Conformal Prediction with Temporal Quantile Adjustments
NeurIPS 2022
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models
AAAI 2022
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
NeurIPS 2021
In-Place Zero-Space Memory Protection for CNN
NeurIPS 2019
ClebschโGordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
NeurIPS 2018