Liheng Ma

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Betweenness Centrality

Data Clustering

Top Venues

Publications

Liheng Ma, Shenglong Xiao, Wenjun Tang, Xiao Luo, Su Zhang
Attitude Correlated Frames Based Calibration Method for Star Sensors. Sensors 24 (1) (2024)
Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR (2024)
Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Multi-resolution Time-Series Transformer for Long-term Forecasting. AISTATS (2024)
Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip H. S. Torr
Revealing Decurve Flows for Generalized Graph Propagation. CoRR (2024)
Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
CKGConv: General Graph Convolution with Continuous Kernels. CoRR (2024)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. CoRR (2023)
Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Multi-resolution Time-Series Transformer for Long-term Forecasting. CoRR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. ICML (2023)
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI (2021)
Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. CoRR (2021)
Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano
Graph Attention Networks with Positional Embeddings. CoRR (2021)
Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. ICML (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. CoRR (2021)
Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates
Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS (2021)
Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano
Graph Attention Networks with Positional Embeddings. PAKDD (1) (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
Memory Augmented Graph Neural Networks for Sequential Recommendation. AAAI (2020)
Wenting Wang, Yu-Lin He, Joshua Zhexue Huang, Liheng Ma
A new approach to solve opinion dynamics on complex networks. Expert Syst. Appl. 145 (2020)
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD (2020)
Yuying Liang, Liheng Ma, Ning Yang, Weifeng Hong, Zhen Wu
Soft Tissue Mass of Extremity: Investigation of MRI Diagnostic Strategy. J. Medical Imaging Health Informatics 10 (11) (2020)
Wenting Wang, Yulin He, Liheng Ma, Joshua Zhexue Huang
Latent Feature Group Learning for High-Dimensional Data Clustering. Inf. 10 (6) (2019)
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
Memory Augmented Graph Neural Networks for Sequential Recommendation. CoRR (2019)