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Liheng Ma
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2020 – today
- 2024
- [j4]Liheng Ma
, Shenglong Xiao, Wenjun Tang, Xiao Luo, Su Zhang:
Attitude Correlated Frames Based Calibration Method for Star Sensors. Sensors 24(1): 67 (2024) - [c8]Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates:
Multi-resolution Time-Series Transformer for Long-term Forecasting. AISTATS 2024: 4222-4230 - [i10]Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip H. S. Torr:
Revealing Decurve Flows for Generalized Graph Propagation. CoRR abs/2402.08480 (2024) - [i9]Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates:
CKGConv: General Graph Convolution with Continuous Kernels. CoRR abs/2404.13604 (2024) - [i8]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 abs/2407.09618 (2024) - 2023
- [c7]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: 23321-23337 - [i7]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 abs/2305.17589 (2023) - [i6]Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates:
Multi-resolution Time-Series Transformer for Long-term Forecasting. CoRR abs/2311.04147 (2023) - 2021
- [c6]Chen Ma
, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI 2021: 4285-4293 - [c5]Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates:
Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS 2021: 2989-2997 - [c4]Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates:
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. ICML 2021: 8336-8348 - [c3]Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano:
Graph Attention Networks with Positional Embeddings. PAKDD (1) 2021: 514-527 - [i5]Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates:
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. CoRR abs/2101.04849 (2021) - [i4]Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR abs/2101.04852 (2021) - [i3]Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano:
Graph Attention Networks with Positional Embeddings. CoRR abs/2105.04037 (2021) - [i2]Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates:
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. CoRR abs/2106.06064 (2021) - 2020
- [j3]Wenting Wang, Yu-Lin He
, Joshua Zhexue Huang, Liheng Ma:
A new approach to solve opinion dynamics on complex networks. Expert Syst. Appl. 145: 113132 (2020) - [j2]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): 2551-2556 (2020) - [c2]Chen Ma
, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates:
Memory Augmented Graph Neural Networks for Sequential Recommendation. AAAI 2020: 5045-5052 - [c1]Chen Ma
, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates:
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD 2020: 1036-1044
2010 – 2019
- 2019
- [j1]Wenting Wang
, Yulin He, Liheng Ma, Joshua Zhexue Huang:
Latent Feature Group Learning for High-Dimensional Data Clustering. Inf. 10(6): 208 (2019) - [i1]Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates:
Memory Augmented Graph Neural Networks for Sequential Recommendation. CoRR abs/1912.11730 (2019)
Coauthor Index
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last updated on 2024-08-17 23:42 CEST by the dblp team
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