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Haoran Liu
Haoran Liu
Ph.D. Student, Department of Computer Science & Engineering, Texas A&M University
Verified email at tamu.edu - Homepage
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Year
DIG: A turnkey library for diving into graph deep learning research
M Liu, Y Luo, L Wang, Y Xie, H Yuan, S Gui, H Yu, Z Xu, J Zhang, Y Liu, ...
Journal of Machine Learning Research 22 (240), 1-9, 2021
113*2021
ComENet: Towards complete and efficient message passing for 3D molecular graphs
L Wang, Y Liu, Y Lin, H Liu, S Ji
Advances in Neural Information Processing Systems 35, 650-664, 2022
592022
Learning hierarchical protein representations via complete 3d graph networks
L Wang, H Liu, Y Liu, J Kurtin, S Ji
The Eleventh International Conference on Learning Representations 2023, 2022
39*2022
Edge-guided hierarchically nested network for real-time semantic segmentation
Y Li, SI Kamata, H Liu
2019 IEEE International Conference on Signal and Image Processing …, 2019
32019
Gradient-Guided Importance Sampling for Learning Discrete Energy-Based Models
M Liu, H Liu, S Ji
The Eleventh International Conference on Learning Representations 2023, 2021
2*2021
Hybrid Featured based Pyramid Structured CNN for Texture Classification
H Liu, SI Kamata, Y Li
2019 IEEE International Conference on Signal and Image Processing …, 2019
22019
Everything perturbed all at once: Enabling differentiable graph attacks
H Liu, B Wang, J Wang, X Dong, T Yang, J Caverlee
arXiv preprint arXiv:2308.15614, 2023
12023
Exploring the common principal subspace of deep features in neural networks
H Liu, H Xiong, Y Wang, H An, D Dou, D Wu
Machine Learning 111 (3), 1125-1157, 2022
12022
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
R Yang, H Liu, Q Zeng, YH Ke, W Li, L Cheng, Q Chen, J Caverlee, ...
arXiv preprint arXiv:2403.05881, 2024
2024
Topological and Temporal Data Augmentation for Temporal Graph Networks
H Liu, J Wang, K Ding, J Caverlee
Temporal Graph Learning Workshop@ NeurIPS 2023, 2023
2023
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