• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 73 matches

• 2024
• 
  Hassan A. Shafei, Hongchang Gao, Chiu C. Tan:
  Measuring privacy policy compliance in the Alexa ecosystem: In-depth analysis. Comput. Secur. 144: 103963 (2024)
• 
  Hongchang Chen, Ruiyang Gao, Lili Fan, Erxuan Liu, Wenbo Li, Ruichen Tan, Ying Li, Lei He, Dongpu Cao:
  Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives. IEEE Trans. Intell. Veh. 9(5): 4890-4904 (2024)
• 
  Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi:
  Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks. AAAI 2024: 11338-11345
• 
  Hongchang Gao:
  Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate. AISTATS 2024: 4402-4410
• 
  Taeuk Jang, Hongchang Gao, Pengyi Shi, Xiaoqian Wang:
  Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning. AISTATS 2024: 28-36
• 
  Hongchang Gao:
  A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization. ICML 2024
• 
  Xinwen Zhang, Ali Payani, Myungjin Lee, Richard Souvenir, Hongchang Gao:
  A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization. ICML 2024
• 
  Hongchang Gao, Yubin Duan, Yihan Zhang, Jie Wu:
  Decentralized Stochastic Compositional Gradient Descent for AUPRC Maximization. SDM 2024: 226-234
• 
  Peiyu Liang, Hongchang Gao, Xubin He:
  AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation. CoRR abs/2406.02348 (2024)
• 2023
• 
  Yahu Gao, Yu Tang, Hongchang Wang, Zixiang Zhao, Guanghui Wang, Yinghao Song:
  Wide zero-voltage switching range full-bridge converter based on adjustable parallel current. Int. J. Circuit Theory Appl. 51(9): 4242-4256 (2023)
• 
  Hongchang Gao, My T. Thai, Jie Wu:
  When Decentralized Optimization Meets Federated Learning. IEEE Netw. 37(5): 233-239 (2023)
• 
  Wenzhao Zhang, Yuxuan Zhang, Hongchang Fan, Yi Gao, Wei Dong:
  A Low-code Development Framework for Cloud-native Edge Systems. ACM Trans. Internet Techn. 23(1): 15:1-15:22 (2023)
• 
  Hongchang Gao:
  Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory. AAAI 2023: 15437
• 
  Hongchang Gao, Bin Gu, My T. Thai:
  On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network. AISTATS 2023: 9238-9281
• 
  Dong Lu, Zhiqiang Wang, Teng Wang, Weili Guan, Hongchang Gao, Feng Zheng:
  Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. ICCV 2023: 102-111
• 
  Jiyao Liu, Xinliang Wei, Xuanzhang Liu, Hongchang Gao, Yu Wang:
  Group-based Hierarchical Federated Learning: Convergence, Group Formation, and Sampling. ICPP 2023: 264-273
• 
  Yihan Zhang, Meikang Qiu, Hongchang Gao:
  Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms. IJCAI 2023: 4602-4610
• 
  Hongchang Gao, Xinwen Zhang:
  Distributed Optimization for Big Data Analytics: Beyond Minimization. KDD 2023: 5800-5801
• 
  Xinwen Zhang, Yihan Zhang, Tianbao Yang, Richard Souvenir, Hongchang Gao:
  Federated Compositional Deep AUC Maximization. NeurIPS 2023
• 
  Xinwen Zhang, Yihan Zhang, Tianbao Yang, Richard Souvenir, Hongchang Gao:
  Federated Compositional Deep AUC Maximization. CoRR abs/2304.10101 (2023)
• 
  Yihan Zhang, Wenhao Jiang, Feng Zheng, Chiu C. Tan, Xinghua Shi, Hongchang Gao:
  Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems? CoRR abs/2304.11788 (2023)
• 
  Hongchang Gao, My T. Thai, Jie Wu:
  When Decentralized Optimization Meets Federated Learning. CoRR abs/2306.02570 (2023)
• 
  Hongchang Gao:
  Stochastic Multi-Level Compositional Optimization Algorithms over Networks with Level-Independent Convergence Rate. CoRR abs/2306.03322 (2023)
• 
  Hongchang Gao:
  Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization. CoRR abs/2307.13430 (2023)
• 
  Dong Lu, Zhiqiang Wang, Teng Wang, Weili Guan, Hongchang Gao, Feng Zheng:
  Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. CoRR abs/2307.14061 (2023)
• 
  Yihan Zhang, My T. Thai, Jie Wu, Hongchang Gao:
  On the Communication Complexity of Decentralized Bilevel Optimization. CoRR abs/2311.11342 (2023)
• 2022
• 
  Yuyang Li, Bolin Fu, Xidong Sun, Donglin Fan, Yeqiao Wang, Hongchang He, Ertao Gao, Wen He, Yuefeng Yao:
  Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images. Remote. Sens. 14(21): 5533 (2022)
• 
  Chengxuan Wang, Yanfang Fan, Weipeng Gao, Kangping Wang, Hongchang Li:
  PDM-Based Feedforward Power Compensation for FMPSK Communication in WPT Systems. IEEE Trans. Circuits Syst. II Express Briefs 69(4): 2241-2245 (2022)
• 
  Wenkang Zhan, Gang Wu, Hongchang Gao:
  Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems. AAAI 2022: 9006-9013
• 
  Hongchang Gao, Junyi Li, Heng Huang:
  On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum. ICML 2022: 7017-7035

skipping 43 more matches