Long-Kai Huang

47 papers A* 26A 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. CoRR Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2025	—	`conf`	Annotation-guided Protein Design with Multi-Level Domain Alignment. KDD (1) Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong
2025	A*	`conf`	Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation. ICLR Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong
2025	A*	`conf`	IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. ICML Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2025	A*	`conf`	Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization. ICLR Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan
2025	J	`jnl`	S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning. CoRR Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei
2025	A*	`conf`	SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning. ICLR Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei
2025	A*	`conf`	Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. AAAI Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2025	A*	`conf`	Steering Protein Language Models. ICML Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao
2025	J	`jnl`	Steering Protein Language Models. CoRR Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao
2024	J	`jnl`	Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation. CoRR Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong
2024	J	`jnl`	Functional Protein Design with Local Domain Alignment. CoRR Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong
2024	J	`jnl`	Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2024	A*	`conf`	Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time. ICLR Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang
2024	A*	`conf`	Learning Where to Edit Vision Transformers. NeurIPS Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei
2024	J	`jnl`	Learning Where to Edit Vision Transformers. CoRR Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei
2024	A*	`conf`	Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction. ICLR Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei
2024	A*	`conf`	Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. ICML Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang
2024	A*	`conf`	Towards Understanding Evolving Patterns in Sequential Data. NeurIPS Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles X. Ling, Boyu Wang
2023	A*	`conf`	Concept-wise Fine-tuning Matters in Preventing Negative Transfer. ICCV Yunqiao Yang, Long-Kai Huang, Ying Wei
2023	J	`jnl`	Concept-wise Fine-tuning Matters in Preventing Negative Transfer. CoRR Yunqiao Yang, Long-Kai Huang, Ying Wei
2023	A*	`conf`	DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 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
2023	J	`jnl`	Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. CoRR Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
2023	J	`jnl`	Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. IEEE Trans. Knowl. Data Eng. Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
2023	A*	`conf`	Retaining Beneficial Information from Detrimental Data for Neural Network Repair. NeurIPS Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan
2023	A*	`conf`	Secure Out-of-Distribution Task Generalization with Energy-Based Models. NeurIPS Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei
2022	A*	`conf`	Adversarial Task Up-sampling for Meta-learning. NeurIPS Yichen Wu, Long-Kai Huang, Ying Wei
2022	J	`jnl`	Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery? CoRR Ziqiao Zhang, Yatao Bian, Ailin Xie, Pengju Han, Long-Kai Huang, Shuigeng Zhou
2022	J	`jnl`	DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR 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
2022	A*	`conf`	Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. IJCAI Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian
2022	J	`jnl`	Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport. CoRR Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian
2022	A*	`conf`	Frustratingly Easy Transferability Estimation. ICML Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei
2022	A*	`conf`	Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization. NeurIPS Long-Kai Huang, Ying Wei
2022	J	`jnl`	Learning to generate imaginary tasks for improving generalization in meta-learning. CoRR Yichen Wu, Long-Kai Huang, Ying Wei
2021	J	`jnl`	Frustratingly Easy Transferability Estimation. CoRR Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang
2021	A*	`conf`	Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. NeurIPS Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li
2021	A*	`conf`	Improving Generalization in Meta-learning via Task Augmentation. ICML Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li
2020	—	`—`	Advanced topics in learning to hash for large-scale retrieval Long-Kai Huang
2020	A*	`conf`	Communication-Efficient Distributed PCA by Riemannian Optimization. ICML Long-Kai Huang, Sinno Jialin Pan
2019	J	`jnl`	A fast online spherical hashing method based on data sampling for large scale image retrieval. Neurocomputing Zhenyu Weng, Yuesheng Zhu, Yinhe Lan, Long-Kai Huang
2019	A*	`conf`	Accelerate Learning of Deep Hashing With Gradient Attention. ICCV Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
2018	J	`jnl`	Online Hashing. IEEE Trans. Neural Networks Learn. Syst. Long-Kai Huang, Qiang Yang, Wei-Shi Zheng
2018	A	`conf`	Recurrent knowledge graph embedding for effective recommendation. RecSys Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu
2017	J	`jnl`	Online Hashing. CoRR Long-Kai Huang, Qiang Yang, Wei-Shi Zheng
2016	A*	`conf`	Class-Wise Supervised Hashing with Label Embedding and Active Bits. IJCAI Long-Kai Huang, Sinno Jialin Pan
2013	A*	`conf`	Online Hashing. IJCAI Long-Kai Huang, Qiang Yang, Wei-Shi Zheng
2013	A*	`conf`	Smart Hashing Update for Fast Response. IJCAI Qiang Yang, Long-Kai Huang, Wei-Shi Zheng, Yingbiao Ling