Congliang Chen
9 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6) π Academic Marathon (7)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(17)
Conferences
ICLR (2)
NIPS (2)
AISTATS (1)
CVPR (1)
EACL (1)
EMNLP (1)
JMLR (1)
Top co-authors
Keywords
adam optimizer
(3)
distributed learning
(2)
stochastic gradient descent
(2)
non-convex optimization
(1)
neural network optimization
(1)
black-box optimization
(1)
nonconvex optimization
(1)
convergence analysis
(1)
feature map
(1)
decentralized optimization
(1)
hyperparameter tuning
(1)
gradient descent
(1)
primal-dual algorithm
(1)
communication efficiency
(1)
adaptive learning rate
(1)
language model training
(1)
learning rate
(1)
convergence guarantee
(1)
image generation
(1)
stochastic gradient
(1)
Papers
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
EACL 2026
Preserving Diversity in Supervised Fine-Tuning of Large Language Models
ICLR 2025
Adam-mini: Use Fewer Learning Rates To Gain More
ICLR 2025
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization
EMNLP 2024
Why Transformers Need Adam: A Hessian Perspective
NIPS 2024
Adam Can Converge Without Any Modification On Update Rules
NIPS 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