Junjie Yang
13 papers · 2019–2026 · 8 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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πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
π
Grand Slam
ποΈ
Keyword Collector
(67)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Deep Learning
(3)
Core AI
(3)
Learning Paradigms Β· Machine Learning
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Analysis
(2)
Applications
(2)
Architectures
(2)
Optimization
(2)
Data Science & Analytics
(1)
Keywords
stochastic gradient descent
(2)
hyperparameter optimization
(2)
bilevel optimization
(2)
non-convex optimization
(2)
convergence analysis
(2)
learning to optimize
(2)
document understanding
(1)
question answering
(1)
domain generalization
(1)
optimal transport
(1)
machine reading comprehension
(1)
information retrieval
(1)
finite-sum optimization
(1)
graph prediction
(1)
test-time adaptation
(1)
point cloud
(1)
video understanding
(1)
object tracking
(1)
pose estimation
(1)
benchmark evaluation
(1)
Papers
Are We on the Right Way to Assess Document Retrieval-Augmented Generation?
AAAI 2026
CompetitorFormer: Mitigating Query Conflicts for 3D Instance Segmentation via Competitive Strategy
CVPR 2026
SEMINAR: SEMantic InformatioN Augmented JailbReak Attack in LLM
ACML 2025
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
NeurIPS 2024
SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters
ICML 2024
Learning to Generalize Provably in Learning to Optimize
AISTATS 2023
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
ICLR 2023
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
NeurIPS 2022
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
JMLR 2022
Bilevel Optimization: Convergence Analysis and Enhanced Design
ICML 2021
Provably Faster Algorithms for Bilevel Optimization
NeurIPS 2021
Retrospective Reader for Machine Reading Comprehension
AAAI 2021
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
ICLR 2019