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Long-Kai Huang
Long-Kai Huang
Geverifieerd e-mailadres voor e.ntu.edu.sg
Titel
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Geciteerd door
Jaar
Recurrent knowledge graph embedding for effective recommendation
Z Sun, J Yang, J Zhang, A Bozzon, LK Huang, C Xu
Proceedings of the 12th ACM conference on recommender systems, 297-305, 2018
2302018
Online hashing.
LK Huang, Q Yang, WS Zheng
IJCAI, 1422-1428, 2013
922013
Online hashing
LK Huang, Q Yang, WS Zheng
IEEE transactions on neural networks and learning systems 29 (6), 2309-2322, 2017
412017
Improving generalization in meta-learning via task augmentation
H Yao, LK Huang, L Zhang, Y Wei, L Tian, J Zou, J Huang
International Conference on Machine Learning, 11887-11897, 2021
392021
Accelerate learning of deep hashing with gradient attention
LK Huang, J Chen, SJ Pan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
212019
Smart hashing update for fast response
Q Yang, LK Huang, WS Zheng, Y Ling
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
142013
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery--A Focus on Affinity Prediction Problems with Noise Annotations
Y Ji, L Zhang, J Wu, B Wu, LK Huang, T Xu, Y Rong, L Li, J Ren, D Xue, ...
arXiv preprint arXiv:2201.09637, 2022
132022
Class-Wise Supervised Hashing with Label Embedding and Active Bits.
LK Huang, SJ Pan
IJCAI, 1585-1591, 2016
132016
Frustratingly easy transferability estimation
LK Huang, J Huang, Y Rong, Q Yang, Y Wei
International Conference on Machine Learning, 9201-9225, 2022
82022
Communication-efficient distributed PCA by Riemannian optimization
LK Huang, S Pan
International Conference on Machine Learning, 4465-4474, 2020
82020
A fast online spherical hashing method based on data sampling for large scale image retrieval
Z Weng, Y Zhu, Y Lan, LK Huang
Neurocomputing 364, 209-218, 2019
82019
Fine-tuning graph neural networks via graph topology induced optimal transport
J Zhang, X Xiao, LK Huang, Y Rong, Y Bian
arXiv preprint arXiv:2203.10453, 2022
62022
Functionally regionalized knowledge transfer for low-resource drug discovery
H Yao, Y Wei, LK Huang, D Xue, J Huang, ZJ Li
Advances in Neural Information Processing Systems 34, 8256-8268, 2021
42021
Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery?
Z Zhang, Y Bian, A Xie, P Han, LK Huang, S Zhou
arXiv preprint arXiv:2209.07423, 2022
12022
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
S Zhou, X Huang, N Liu, FL Chung, LK Huang
arXiv preprint arXiv:2209.10168, 2022
2022
Learning to generate imaginary tasks for improving generalization in meta-learning
Y Wu, LK Huang, Y Wei
arXiv preprint arXiv:2206.04335, 2022
2022
Adversarial Task Up-sampling for Meta-learning
Y Wu, LK Huang, Y Wei
Advances in Neural Information Processing Systems, 0
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization
LK Huang, Y Wei
Advances in Neural Information Processing Systems, 0
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-aided Drug Discovery–A Focus on Affinity Prediction Problems with Noise Annotations
Y Ji, L Zhang, J Wu, B Wu, L Li, LK Huang, T Xu, Y Rong, J Ren, D Xue, ...
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Artikelen 1–19