Long-Kai Huang

According to our database, Long-Kai Huang authored at least 31 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Where to Edit Vision Transformers.

Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei

CoRR, 2024

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation.

Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

CoRR, 2024

Functional Protein Design with Local Domain Alignment.

Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong

CoRR, 2024

Invariant Test-Time Adaptation for Vision-Language Model Generalization.

Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu

CoRR, 2024

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization.

Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time.

Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction.

Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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 Trans. Knowl. Data Eng., December, 2023

Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling.

Fang Wang, Fan Yang, Longkai Huang, Wei Li, Jiangning Song, Robin B. Gasser, Ruedi Aebersold, Guohua Wang, Jianhua Yao

Nat. Mac. Intell., October, 2023

Retaining Beneficial Information from Detrimental Data for Neural Network Repair.

Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Secure Out-of-Distribution Task Generalization with Energy-Based Models.

Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Concept-wise Fine-tuning Matters in Preventing Negative Transfer.

Yunqiao Yang, Long-Kai Huang, Ying Wei

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery?

Ziqiao Zhang, Yatao Bian, Ailin Xie, Pengju Han, Long-Kai Huang, Shuigeng Zhou

CoRR, 2022

Learning to generate imaginary tasks for improving generalization in meta-learning.

Yichen Wu, Long-Kai Huang, Ying Wei

CoRR, 2022

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations.

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

CoRR, 2022

Adversarial Task Up-sampling for Meta-learning.

Yichen Wu, Long-Kai Huang, Ying Wei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization.

Long-Kai Huang, Ying Wei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport.

Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Frustratingly Easy Transferability Estimation.

Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei

Proceedings of the International Conference on Machine Learning, 2022

2021

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery.

Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Generalization in Meta-learning via Task Augmentation.

Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Advanced topics in learning to hash for large-scale retrieval

Long-Kai Huang

PhD thesis, 2020

Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning.

Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li

CoRR, 2020

Communication-Efficient Distributed PCA by Riemannian Optimization.

Long-Kai Huang, Sinno Jialin Pan

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A fast online spherical hashing method based on data sampling for large scale image retrieval.

Zhenyu Weng, Yuesheng Zhu, Yinhe Lan, Long-Kai Huang

Neurocomputing, 2019

Accelerate Learning of Deep Hashing With Gradient Attention.

Long-Kai Huang, Jianda Chen, Sinno Jialin Pan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Online Hashing.

Long-Kai Huang, Qiang Yang, Wei-Shi Zheng

IEEE Trans. Neural Networks Learn. Syst., 2018

Recurrent knowledge graph embedding for effective recommendation.

Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2016

Class-Wise Supervised Hashing with Label Embedding and Active Bits.

Long-Kai Huang, Sinno Jialin Pan

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2013

Smart Hashing Update for Fast Response.

Qiang Yang, Long-Kai Huang, Wei-Shi Zheng, Yingbiao Ling

Proceedings of the IJCAI 2013, 2013