Runze Li
14 papers · 2016–2026 · 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
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (34)
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Trend Setter
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Research topics
Machine Learning
(13)
Optimization & Theory
(8)
Core Methods
(6)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Computer Vision
(3)
Deep Learning
(3)
Analysis
(3)
Application Areas
(3)
Learning Types Β· Machine Learning
(3)
Data Science & Analytics
(2)
Core AI
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Mathematics
(2)
Keywords
distributed learning
(2)
fused regularizer
(2)
high-dimensional regression
(2)
minimax optimality
(2)
high-dimensional data
(2)
anomaly detection
(1)
domain adaptation
(1)
statistical inference
(1)
self-supervised learning
(1)
causal discovery
(1)
knowledge distillation
(1)
transfer learning
(1)
feature selection
(1)
depth estimation
(1)
visual explanation
(1)
object tracking
(1)
distributed computing
(1)
model interpretability
(1)
predictive accuracy
(1)
pose estimation
(1)
Papers
High-dimensional Parameter Transfer With Fused-Regularizer
JMLR 2026
CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models
EMNLP 2025
General Compression Framework for Efficient Transformer Object Tracking
ICCV 2025
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
IJCAI 2025
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
ICML 2025
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
AISTATS 2024
A Distribution Free Conditional Independence Test with Applications to Causal Discovery
JMLR 2022
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors
JMLR 2022
Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed Errors
JMLR 2021
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
ICCV 2021
Distributed Feature Screening via Componentwise Debiasing
JMLR 2020
Online Sufficient Dimension Reduction Through Sliced Inverse Regression
JMLR 2020
Towards Visually Explaining Variational Autoencoders
CVPR 2020
A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces
JMLR 2016