Congliang Chen
9 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
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Keyword Collector
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Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Optimization
(3)
Optimization & Theory · Deep Learning
(3)
Core AI
(2)
Learning Types
(2)
Resources & Methods
(2)
Computer Vision
(1)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Keywords
adam optimizer
(3)
learning rate
(2)
stochastic gradient descent
(2)
distributed learning
(2)
non-convex optimization
(2)
black-box optimization
(1)
decentralized optimization
(1)
catastrophic forgetting
(1)
convergence analysis
(1)
image generation
(1)
language model training
(1)
neural network optimization
(1)
gradient descent
(1)
primal-dual algorithm
(1)
adaptive learning rate
(1)
communication efficiency
(1)
hyperparameter tuning
(1)
game theory
(1)
convergence guarantee
(1)
stochastic gradient
(1)
Papers
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
EACL 2026
Adam-mini: Use Fewer Learning Rates To Gain More
ICLR 2025
Preserving Diversity in Supervised Fine-Tuning of Large Language Models
ICLR 2025
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization
EMNLP 2024
Why Transformers Need Adam: A Hessian Perspective
NeurIPS 2024
Adam Can Converge Without Any Modification On Update Rules
NeurIPS 2022
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
JMLR 2022
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization
AISTATS 2021
Arbitrary Style Transfer With Deep Feature Reshuffle
CVPR 2018