Liheng Ma

According to our database, Liheng Ma authored at least 22 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An Entity Linking Agent for Question Answering.

Yajie Luo, Yihong Wu, Muzhi Li, Fengran Mo, Jia Ao Sun, Xinyu Wang, Liheng Ma, Yingxue Zhang, Jian-Yun Nie

CoRR, August, 2025

Omni-Thinker: Scaling Cross-Domain Generalization in LLMs via Multi-Task RL with Hybrid Rewards.

Derek Li, Jiaming Zhou, Amirreza Kazemi, Qianyi Sun, Abbas Ghaddar, Mohammad Ali Alomrani, Liheng Ma, Yu Luo, Dong Li, Feng Wen, Jianye Hao, Mark Coates, Yingxue Zhang

CoRR, July, 2025

SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting.

Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates

CoRR, June, 2025

Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization.

Yihong Wu, Liheng Ma, Muzhi Li, Jiaming Zhou, Jianye Hao, Ho-fung Leung, Irwin King, Yingxue Zhang, Jian-Yun Nie

CoRR, May, 2025

Simplifying Graph Transformers.

Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Philip H. S. Torr, Mark Coates

CoRR, April, 2025

Sparse Decomposition of Graph Neural Networks.

Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates

Trans. Mach. Learn. Res., 2025

2024

Attitude Correlated Frames Based Calibration Method for Star Sensors.

Liheng Ma, Shenglong Xiao, Wenjun Tang, Xiao Luo, Su Zhang

Sensors, 2024

Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data.

Jiaming Zhou, Abbas Ghaddar, Ge Zhang, Liheng Ma, Yaochen Hu, Soumyasundar Pal, Mark Coates, Bin Wang, Yingxue Zhang, Jianye Hao

CoRR, 2024

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges.

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

CoRR, 2024

Revealing Decurve Flows for Generalized Graph Propagation.

Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip H. S. Torr

CoRR, 2024

CKGConv: General Graph Convolution with Continuous Kernels.

Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-resolution Time-Series Transformer for Long-term Forecasting.

Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Graph Inductive Biases in Transformers without Message Passing.

Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim

Proceedings of the International Conference on Machine Learning, 2023

2021

Graph Attention Networks with Positional Embeddings.

Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting.

Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates

Proceedings of the 38th International Conference on Machine Learning, 2021

Detection and Defense of Topological Adversarial Attacks on Graphs.

Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Knowledge-Enhanced Top-K Recommendation in Poincaré Ball.

Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Soft Tissue Mass of Extremity: Investigation of MRI Diagnostic Strategy.

Yuying Liang, Liheng Ma, Ning Yang, Weifeng Hong, Zhen Wu

J. Medical Imaging Health Informatics, 2020

A new approach to solve opinion dynamics on complex networks.

Wenting Wang, Yu-Lin He, Joshua Zhexue Huang, Liheng Ma

Expert Syst. Appl., 2020

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation.

Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Memory Augmented Graph Neural Networks for Sequential Recommendation.

Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Latent Feature Group Learning for High-Dimensional Data Clustering.

Wenting Wang, Yulin He, Liheng Ma, Joshua Zhexue Huang

Inf., 2019