Ma, Liheng

9 publications

ICML 2025 SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates

TMLR 2025 Sparse Decomposition of Graph Neural Networks Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates

ICML 2024 CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates

AISTATS 2024 Multi-Resolution Time-Series Transformer for Long-Term Forecasting Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates

ICML 2023 Graph Inductive Biases in Transformers Without Message Passing Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim

AISTATS 2021 Detection and Defense of Topological Adversarial Attacks on Graphs Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates

AAAI 2021 Knowledge-Enhanced Top-K Recommendation in Poincaré Ball Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

ICML 2021 RNN with Particle Flow for Probabilistic Spatio-Temporal Forecasting Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates

AAAI 2020 Memory Augmented Graph Neural Networks for Sequential Recommendation Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates