Ng, Michael

7 publications

TMLR 2025 AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael Ng, Zhenguo Li, Zhaoqiang Liu

AAAI 2025 Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai, Michael Ng

NeurIPS 2024 DAPE: Data-Adaptive Positional Encoding for Length Extrapolation Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li

NeurIPS 2023 A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen, Jonathan Scarlett, Michael Ng, Zhaoqiang Liu

ICML 2023 Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks Yihang Gao, Yiqi Gu, Michael Ng

NeurIPS 2022 Approximate Secular Equations for the Cubic Regularization Subproblem Yihang Gao, Man-Chung Yue, Michael Ng

IJCAI 2019 Robust Low-Tubal-Rank Tensor Completion via Convex Optimization Qiang Jiang, Michael Ng