Hongchang Gao
24 papers · 2015–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Hongchang Gao?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Heng Huang, An Xu, Feiping Nie
9 papers
· 2015–2022
· ICML, IJCAI, NeurIPS
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On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
ICML 2022
Fast Training Method for Stochastic Compositional Optimization Problems
NeurIPS 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning
AAAI 2021
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?
ICML 2020
Demystifying Dropout
ICML 2019
Deep Attributed Network Embedding
IJCAI 2018
Joint Generative Moment-Matching Network for Learning Structural Latent Code
IJCAI 2018
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models
IJCAI 2018
Multi-View Subspace Clustering
ICCV 2015
6 papers whose co-authors appear nowhere else under this name
A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
ICML 2024
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate
AISTATS 2024
Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory
AAAI 2023
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
ICCV 2023
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems
AAAI 2022
Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization
IJCAI 2021