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Long-Kai Huang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

21

Venues

7

Active years

2013–2025

Best venue rank

A*

Where they publish

Papers

21 indexed papers, newest first.

YearVenueTitleAuthors
2025AAAISpurious 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
2025ICLRParameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization.Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan
2025ICLRSD-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
2025ICLRAtomas: 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
2025ICMLIBCircuit: 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
2025ICMLSteering Protein Language Models.Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao
2025KDDAnnotation-guided Protein Design with Multi-Level Domain Alignment.Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong
2024ICLRMeta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction.Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei
2024ICLRLatent 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
2024ICMLMitigating 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
2023AAAIDrugOOD: 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
2023ICCVConcept-wise Fine-tuning Matters in Preventing Negative Transfer.Yunqiao Yang, Long-Kai Huang, Ying Wei
2022ICMLFrustratingly Easy Transferability Estimation.Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei
2022IJCAIFine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport.Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian
2021ICMLImproving Generalization in Meta-learning via Task Augmentation.Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li
2020ICMLCommunication-Efficient Distributed PCA by Riemannian Optimization.Long-Kai Huang, Sinno Jialin Pan
2019ICCVAccelerate Learning of Deep Hashing With Gradient Attention.Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
2018RecSysRecurrent knowledge graph embedding for effective recommendation.Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu
2016IJCAIClass-Wise Supervised Hashing with Label Embedding and Active Bits.Long-Kai Huang, Sinno Jialin Pan
2013IJCAIOnline Hashing.Long-Kai Huang, Qiang Yang, Wei-Shi Zheng
2013IJCAISmart Hashing Update for Fast Response.Qiang Yang, Long-Kai Huang, Wei-Shi Zheng, Yingbiao Ling