Xiangyi Chen
10 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (6)
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Cross-Pollinator
(11)
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Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(13)
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Century Club
(10)
Conferences
NIPS (3)
ICLR (2)
ICML (2)
ACML (1)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
adversarial attack
(3)
convergence analysis
(2)
gradient clipping
(2)
distributed learning
(2)
zeroth-order optimization
(2)
stochastic gradient descent
(2)
federated learning
(2)
distributed training
(2)
black-box optimization
(2)
differential privacy
(2)
gradient-free optimization
(2)
gradient compression
(2)
adaptive gradient method
(1)
evasion attack
(1)
black-box setting
(1)
temporal consistency
(1)
min-max optimization
(1)
communication cost
(1)
face reconstruction
(1)
zeroth-order gradient
(1)
Papers
DiffFERV: Diffusion-based Facial Editing of Real Videos
IJCAI 2025
Distributed adversarial training to robustify deep neural networks at scale
UAI 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
ICML 2022
On the Convergence of Decentralized Adaptive
Gradient Methods
ACML 2022
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
NIPS 2020
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
NIPS 2020
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks
ICML 2020
signSGD via Zeroth-Order Oracle
ICLR 2019
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
ICLR 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
NIPS 2019