Huang, Ling

19 publications

IJCAI 2025 DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities Yueguang Yang, Jiahui Qu, Ling Huang, Wenqian Dong

AAAI 2020 MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection Ling Huang, Hong-Yang Chao, Guangqiang Xie

AAAI 2020 Multi-View Clustering in Latent Embedding Space Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang

IJCAI 2019 BPAM: Recommendation Based on BP Neural Network with Attention Mechanism Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai

AAAI 2019 DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu

AAAI 2019 Higher-Order Multi-Layer Community Detection Ling Huang, Chang-Dong Wang, Hong-Yang Chao

IJCAI 2019 Unsupervised Multi-View Learning Ling Huang

NeurIPS 2014 Large-Margin Convex Polytope Machine Alex Kantchelian, Michael C Tschantz, Ling Huang, Peter L Bartlett, Anthony D Joseph, J. D. Tygar

JMLR 2012 Query Strategies for Evading Convex-Inducing Classifiers Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar

ICML 2010 An Analysis of the Convergence of Graph Laplacians Daniel Ting, Ling Huang, Michael I. Jordan

ICML 2010 Detecting Large-Scale System Problems by Mining Console Logs Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan

AISTATS 2010 Near-Optimal Evasion of Convex-Inducing Classifiers Blaine Nelson, Benjamin Rubinstein, Ling Huang, Anthony Joseph, Shing–hon Lau, Steven Lee, Satish Rao, Anthony Tran, Doug Tygar

UAI 2010 Online Semi-Supervised Learning on Quantized Graphs Michal Valko, Branislav Kveton, Ling Huang, Daniel Ting

CVPRW 2010 Online Semi-Supervised Perception: Real-Time Learning Without Explicit Feedback Branislav Kveton, Matthai Philipose, Michal Valko, Ling Huang

NeurIPS 2010 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression Ling Huang, Jinzhu Jia, Bin Yu, Byung-gon Chun, Petros Maniatis, Mayur Naik

AISTATS 2010 Semi-Supervised Learning with Max-Margin Graph Cuts Branislav Kveton, Michal Valko, Ali Rahimi, Ling Huang

NeurIPS 2008 Spectral Clustering with Perturbed Data Ling Huang, Donghui Yan, Nina Taft, Michael I. Jordan

ECML-PKDD 2008 Support Vector Machines, Data Reduction, and Approximate Kernel Matrices XuanLong Nguyen, Ling Huang, Anthony D. Joseph

NeurIPS 2006 In-Network PCA and Anomaly Detection Ling Huang, Xuanlong Nguyen, Minos Garofalakis, Michael I. Jordan, Anthony Joseph, Nina Taft