Huang, Long-Kai

26 publications

ICLR 2025 Atomas: Hierarchical Adaptive 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

ICML 2025 IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li

NeurIPS 2025 Model Editing for Vision Transformers Xinyi Huang, Kangfei Zhao, Long-Kai Huang

ICLR 2025 Parameter and Memory Efficient Pretraining via Low-Rank Riemannian Optimization Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan

ICLR 2025 SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei

AAAI 2025 Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu

ICML 2025 Steering Protein Language Models Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao

ICLR 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

NeurIPS 2024 Learning Where to Edit Vision Transformers Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei

ICLR 2024 Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei

ICML 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

NeurIPS 2024 Towards Understanding Evolving Patterns in Sequential Data Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles Ling, Boyu Wang

ICCV 2023 Concept-Wise Fine-Tuning Matters in Preventing Negative Transfer Yunqiao Yang, Long-Kai Huang, Ying Wei

AAAI 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

NeurIPS 2023 Retaining Beneficial Information from Detrimental Data for Neural Network Repair Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Pan

NeurIPS 2023 Secure Out-of-Distribution Task Generalization with Energy-Based Models Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei

NeurIPS 2022 Adversarial Task Up-Sampling for Meta-Learning Yichen Wu, Long-Kai Huang, Ying Wei

IJCAI 2022 Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian

ICML 2022 Frustratingly Easy Transferability Estimation Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei

NeurIPS 2022 Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization Long-Kai Huang, Ying Wei

NeurIPS 2021 Functionally Regionalized Knowledge Transfer for Low-Resource Drug Discovery Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li

ICML 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

ICML 2020 Communication-Efficient Distributed PCA by Riemannian Optimization Long-Kai Huang, Sinno Pan

IJCAI 2016 Class-Wise Supervised Hashing with Label Embedding and Active Bits Long-Kai Huang, Sinno Jialin Pan

IJCAI 2013 Online Hashing Long-Kai Huang, Qiang Yang, Wei-Shi Zheng

IJCAI 2013 Smart Hashing Update for Fast Response Qiang Yang, Long-Kai Huang, Wei-Shi Zheng, Yingbiao Ling