Long-Kai Huang
Long-Kai Huang
Tencent AI Lab
Geverifieerd e-mailadres voor e.ntu.edu.sg
Geciteerd door
Geciteerd door
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
Online hashing
LK Huang, Q Yang, WS Zheng
IEEE transactions on neural networks and learning systems 29 (6), 2309-2322, 2017
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
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, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8023-8031, 2023
Frustratingly easy transferability estimation
LK Huang, J Huang, Y Rong, Q Yang, Y Wei
International Conference on Machine Learning, 9201-9225, 2022
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
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
Smart hashing update for fast response
Q Yang, LK Huang, WS Zheng, Y Ling
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
Class-Wise Supervised Hashing with Label Embedding and Active Bits.
LK Huang, SJ Pan
IJCAI, 1585-1591, 2016
Communication-efficient distributed PCA by Riemannian optimization
LK Huang, S Pan
International Conference on Machine Learning, 4465-4474, 2020
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
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
Adversarial task up-sampling for meta-learning
Y Wu, LK Huang, Y Wei
Advances in Neural Information Processing Systems 35, 31102-31115, 2022
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
Improving generalizability of graph anomaly detection models via data augmentation
S Zhou, X Huang, N Liu, H Zhou, FL Chung, LK Huang
IEEE Transactions on Knowledge and Data Engineering, 2023
Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling
F Wang, F Yang, L Huang, W Li, J Song, RB Gasser, R Aebersold, ...
Nature Machine Intelligence, 1-14, 2023
Retaining Beneficial Information from Detrimental Data for Neural Network Repair
LK Huang, P Zhao, J Huang, S Pan
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models
S Chen, LK Huang, JR Schwarz, Y Du, Y Wei
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
Y Yang, LK Huang, Y Wei
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization
LK Huang, Y Wei
Advances in Neural Information Processing Systems, 2022
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Artikelen 1–20