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2020 – today
- 2023
[j3]Shuang Zhou
, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang:
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. IEEE Trans. Knowl. Data Eng. 35(12): 12721-12735 (2023)- [c13]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 2023: 8023-8031 - [i9]Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang:
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. CoRR abs/2306.10534 (2023) - [i8]Yunqiao Yang, Long-Kai Huang, Ying Wei:
Concept-wise Fine-tuning Matters in Preventing Negative Transfer. CoRR abs/2311.06868 (2023) - 2022
- [c12]Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei:
Frustratingly Easy Transferability Estimation. ICML 2022: 9201-9225 - [c11]Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian:
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. IJCAI 2022: 3730-3736 - [c10]Long-Kai Huang, Ying Wei:
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization. NeurIPS 2022 - [c9]Yichen Wu, Long-Kai Huang, Ying Wei:
Adversarial Task Up-sampling for Meta-learning. NeurIPS 2022 - [i7]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR abs/2201.09637 (2022) - [i6]Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian:
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport. CoRR abs/2203.10453 (2022) - [i5]Yichen Wu, Long-Kai Huang, Ying Wei:
Learning to generate imaginary tasks for improving generalization in meta-learning. CoRR abs/2206.04335 (2022) - [i4]Ziqiao Zhang, Yatao Bian, Ailin Xie, Pengju Han, Long-Kai Huang, Shuigeng Zhou:
Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery? CoRR abs/2209.07423 (2022) - 2021
- [c8]Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li:
Improving Generalization in Meta-learning via Task Augmentation. ICML 2021: 11887-11897 - [c7]Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li:
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. NeurIPS 2021: 8256-8268 - [i3]Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang:
Frustratingly Easy Transferability Estimation. CoRR abs/2106.09362 (2021) - 2020
- [b1]Long-Kai Huang:
Advanced topics in learning to hash for large-scale retrieval. Nanyang Technological University, Singapore, 2020 - [c6]Long-Kai Huang, Sinno Jialin Pan:
Communication-Efficient Distributed PCA by Riemannian Optimization. ICML 2020: 4465-4474 - [i2]Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li:
Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. CoRR abs/2007.13040 (2020)
2010 – 2019
- 2019
- [j2]Zhenyu Weng, Yuesheng Zhu, Yinhe Lan, Long-Kai Huang:
A fast online spherical hashing method based on data sampling for large scale image retrieval. Neurocomputing 364: 209-218 (2019) - [c5]Long-Kai Huang, Jianda Chen, Sinno Jialin Pan:
Accelerate Learning of Deep Hashing With Gradient Attention. ICCV 2019: 5270-5279 - 2018
- [j1]Long-Kai Huang, Qiang Yang, Wei-Shi Zheng:
Online Hashing. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2309-2322 (2018) - [c4]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu:
Recurrent knowledge graph embedding for effective recommendation. RecSys 2018: 297-305 - 2017
- [i1]Long-Kai Huang, Qiang Yang, Wei-Shi Zheng:
Online Hashing. CoRR abs/1704.01897 (2017) - 2016
- [c3]Long-Kai Huang, Sinno Jialin Pan:
Class-Wise Supervised Hashing with Label Embedding and Active Bits. IJCAI 2016: 1585-1591 - 2013
- [c2]Long-Kai Huang, Qiang Yang, Wei-Shi Zheng:
Online Hashing. IJCAI 2013: 1422-1428 - [c1]Qiang Yang, Long-Kai Huang, Wei-Shi Zheng, Yingbiao Ling:
Smart Hashing Update for Fast Response. IJCAI 2013: 1855-1861
Coauthor Index
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last updated on 2023-11-29 20:29 CET by the dblp team
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