Gao, Hongchang

27 publications

IJCAI 2025 Federated Stochastic Bilevel Optimization with Fully First-Order Gradients Yihan Zhang, Rohit Dhaipule, Chiu C. Tan, Haibin Ling, Hongchang Gao

NeurIPS 2025 On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent Xinwen Zhang, Hongchang Gao

ICML 2024 A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization Hongchang Gao

ICML 2024 A Federated Stochastic Multi-Level Compositional Minimax Algorithm for Deep AUC Maximization Xinwen Zhang, Ali Payani, Myungjin Lee, Richard Souvenir, Hongchang Gao

AISTATS 2024 Achieving Fairness Through Separability: A Unified Framework for Fair Representation Learning Taeuk Jang, Hongchang Gao, Pengyi Shi, Xiaoqian Wang

AISTATS 2024 Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate Hongchang Gao

AAAI 2024 Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi

IJCAI 2023 Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms Yihan Zhang, Meikang Qiu, Hongchang Gao

AAAI 2023 Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory Hongchang Gao

NeurIPS 2023 Federated Compositional Deep AUC Maximization Xinwen Zhang, Yihan Zhang, Tianbao Yang, Richard Souvenir, Hongchang Gao

AISTATS 2023 On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network Hongchang Gao, Bin Gu, My T. Thai

ICCV 2023 Set-Level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-Training Models Dong Lu, Zhiqiang Wang, Teng Wang, Weili Guan, Hongchang Gao, Feng Zheng

AAAI 2022 Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems Wenkang Zhan, Gang Wu, Hongchang Gao

ICML 2022 Gradient-Free Method for Heavily Constrained Nonconvex Optimization Wanli Shi, Hongchang Gao, Bin Gu

ICML 2022 On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum Hongchang Gao, Junyi Li, Heng Huang

NeurIPS 2021 Fast Training Method for Stochastic Compositional Optimization Problems Hongchang Gao, Heng Huang

AAAI 2021 On the Convergence of Communication-Efficient Local SGD for Federated Learning Hongchang Gao, An Xu, Heng Huang

IJCAI 2021 On the Convergence of Stochastic Compositional Gradient Descent Ascent Method Hongchang Gao, Xiaoqian Wang, Lei Luo, Xinghua Shi

IJCAI 2021 Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization Hongchang Gao, Hanzi Xu, Slobodan Vucetic

ICML 2020 Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? Hongchang Gao, Heng Huang

ICML 2019 Demystifying Dropout Hongchang Gao, Jian Pei, Heng Huang

IJCAI 2018 Deep Attributed Network Embedding Hongchang Gao, Heng Huang

IJCAI 2018 Joint Generative Moment-Matching Network for Learning Structural Latent Code Hongchang Gao, Heng Huang

IJCAI 2018 Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models Hongchang Gao, Heng Huang

AAAI 2017 Local Centroids Structured Non-Negative Matrix Factorization Hongchang Gao, Feiping Nie, Heng Huang

AAAI 2016 The L2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation Wenhao Jiang, Hongchang Gao, Fu-Lai Chung, Heng Huang

ICCV 2015 Multi-View Subspace Clustering Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang