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2020 – today
- 2024
[c19]Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei:
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction. ICLR 2024- [c18]Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang:
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time. ICLR 2024 - [c17]Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang:
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. ICML 2024 - [i13]Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
:
Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR abs/2403.00376 (2024) - [i12]Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong:
Functional Protein Design with Local Domain Alignment. CoRR abs/2404.16866 (2024) - [i11]Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong:
Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation. CoRR abs/2404.16880 (2024) - [i10]Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei:
Learning Where to Edit Vision Transformers. CoRR abs/2411.01948 (2024) - 2023
- [j4]Fang Wang, Fan Yang, Longkai Huang, Wei Li, Jiangning Song, Robin B. Gasser, Ruedi Aebersold, Guohua Wang, Jianhua Yao:
Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling. Nat. Mac. Intell. 5(11): 1236-1249 (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) - [c16]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 - [c15]Yunqiao Yang, Long-Kai Huang, Ying Wei:
Concept-wise Fine-tuning Matters in Preventing Negative Transfer. ICCV 2023: 18707-18717 - [c14]Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei:
Secure Out-of-Distribution Task Generalization with Energy-Based Models. NeurIPS 2023 - [c13]Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan:
Retaining Beneficial Information from Detrimental Data for Neural Network Repair. NeurIPS 2023 - [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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