| 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 | 315 | 2018 |
| Online hashing LK Huang, Q Yang, WS Zheng IEEE transactions on neural networks and learning systems 29 (6), 2309-2322, 2017 | 125 | 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 | 72 | 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 | 48* | 2023 |
| Frustratingly easy transferability estimation LK Huang, J Huang, Y Rong, Q Yang, Y Wei International Conference on Machine Learning, 9201-9225, 2022 | 27 | 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 | 21 | 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 | 17 | 2022 |
| Smart hashing update for fast response Q Yang, LK Huang, WS Zheng, Y Ling Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 14 | 2013 |
| Class-Wise Supervised Hashing with Label Embedding and Active Bits. LK Huang, SJ Pan IJCAI, 1585-1591, 2016 | 12 | 2016 |
| Communication-efficient distributed PCA by Riemannian optimization LK Huang, S Pan International Conference on Machine Learning, 4465-4474, 2020 | 11 | 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 | 10 | 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 | 8 | 2019 |
| Adversarial task up-sampling for meta-learning Y Wu, LK Huang, Y Wei Advances in Neural Information Processing Systems 35, 31102-31115, 2022 | 4 | 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 | 4 | 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 | 3 | 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 | 2 | 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 | | 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 | | 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 | | 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 | | 2022 |
