Long-Kai Huang
Email: HLONGKAI at gmail dot com
I am a senior researcher in Machine Learning Group, Tencent AI Lab. Prior to that, I obtained my Ph.D. in SCSE at NTU, advised by Prof. Sinno Jialin Pan. I received B.Eng. from Sun Yat-Sen University and did my undergraduate thesis with Prof. Wei-Shi Zheng.
I am interested in the generalization and transferability of machine learning models and focus on 1) transfer learning, 2) meta learning and 3) continual learning.
Recent Publications
* indicates equal contributions. Underlined authors are research interns mentored by me.
Retaining Beneficial Information from Detrimental Data for Neural Network Repair
Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan
Advances in Neural Information Processing Systems (NeurIPS) 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models
Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei
Advances in Neural Information Processing Systems (NeurIPS) 2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
Yunqiao Yang, Long-Kai Huang, Ying Wei
International Conference on Computer Vision (ICCV) 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization [paper] [code]
Long-Kai Huang, Ying Wei
Advances in Neural Information Processing Systems (NeurIPS) 2022
Adversarial Task Up-sampling for Meta-learning [paper]
Yichen Wu, Long-Kai Huang, Ying Wei
Advances in Neural Information Processing Systems (NeurIPS) 2022
Frustratingly Easy Transferability Estimation [paper] [code]
Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei
International Conference on Machine Learning (ICML), 2022
Improving Generalization in Meta-learning via Task Augmentation [paper] [code]
Huaxiu Yao*, Long-Kai Huang*, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li
International Conference on Machine Learning (ICML), 2021
Communication-Efficient Distributed PCA by Riemannian Optimization [paper]
Long-Kai Huang and Sinno Jialin Pan
International Conference on Machine Learning (ICML), 2020