Smart Hashing Update for Fast Response. - Qiang Yang 010; Long-Kai Huang; Wei-Shi Zheng 001; Yingbiao Ling (IJCAI, 2013)

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

Recurrent knowledge graph embedding for effective recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon; Long-Kai Huang; Chi Xu (RecSys, 2018)

Online Hashing. - Long-Kai Huang; Qiang Yang 010; Wei-Shi Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Accelerate Learning of Deep Hashing With Gradient Attention. - Long-Kai Huang; Jianda Chen; Sinno Jialin Pan (ICCV, 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)

Communication-Efficient Distributed PCA by Riemannian Optimization. - Long-Kai Huang; Sinno Jialin Pan (ICML, 2020)

Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. - Huaxiu Yao; Longkai Huang; Ying Wei 001; Li Tian; Junzhou Huang; Zhenhui Li (CoRR, 2020)

Advanced topics in learning to hash for large-scale retrieval - Long-Kai Huang (2020)

Improving Generalization in Meta-learning via Task Augmentation. - Huaxiu Yao; Long-Kai Huang; Linjun Zhang; Ying Wei 001; Li Tian; James Zou 001; Junzhou Huang; Zhenhui Li (ICML, 2021)

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. - Huaxiu Yao; Ying Wei 001; Long-Kai Huang; Ding Xue; Junzhou Huang; Zhenhui Li (NeurIPS, 2021)

Frustratingly Easy Transferability Estimation. - Long-Kai Huang; Junzhou Huang; Yu Rong 001; Qiang Yang 010; Ying Wei 001 (ICML, 2022)

Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. - Jiying Zhang; Xi Xiao; Long-Kai Huang; Yu Rong 001; Yatao Bian (IJCAI, 2022)

Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization. - Long-Kai Huang; Ying Wei 001 (NeurIPS, 2022)

Adversarial Task Up-sampling for Meta-learning. - Yichen Wu; Long-Kai Huang; Ying Wei 001 (NeurIPS, 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 060; Jiaxiang Wu 001; Bingzhe Wu; Long-Kai Huang; Tingyang Xu; Yu Rong 001; Lanqing Li; Jie Ren; Ding Xue; Houtim Lai; Shaoyong Xu; et al. (CoRR, 2022)

Learning to generate imaginary tasks for improving generalization in meta-learning. - Yichen Wu; Long-Kai Huang; Ying Wei 001 (CoRR, 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)

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 060; Jiaxiang Wu 001; Bingzhe Wu; Lanqing Li; Long-Kai Huang; Tingyang Xu; Yu Rong 001; Jie Ren; Ding Xue; Houtim Lai; Wei Liu 005; et al. (AAAI, 2023)

Concept-wise Fine-tuning Matters in Preventing Negative Transfer. - Yunqiao Yang; Long-Kai Huang; Ying Wei 001 (ICCV, 2023)

Secure Out-of-Distribution Task Generalization with Energy-Based Models. - Shengzhuang Chen; Long-Kai Huang; Jonathan Richard Schwarz; Yilun Du; Ying Wei 001 (NeurIPS, 2023)

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

Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling. - Fang Wang 028; Fan Yang 081; Longkai Huang; Wei Li 184; Jiangning Song; Robin B. Gasser; Ruedi Aebersold; Guohua Wang; Jianhua Yao 001 (Nat. Mac. Intell., 2023)

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. - Shuang Zhou 012; Xiao Huang 001; Ninghao Liu; Huachi Zhou; Fu-Lai Chung; Long-Kai Huang (IEEE Trans. Knowl. Data Eng., 2023)

Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction. - Yichen Wu; Long-Kai Huang; Renzhen Wang; Deyu Meng; Ying Wei 001 (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 001; Boyu Wang 004 (ICLR, 2024)

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. - Yichen Wu; Hong Wang 021; Peilin Zhao; Yefeng Zheng 001; Ying Wei 001; Long-Kai Huang (ICML, 2024)

Learning Where to Edit Vision Transformers. - Yunqiao Yang; Long-Kai Huang; Shengzhuang Chen; Kede Ma; Ying Wei 001 (NeurIPS, 2024)

Towards Understanding Evolving Patterns in Sequential Data. - Qiuhao Zeng; Long-Kai Huang; Qi Chen 015; Charles X. Ling; Boyu Wang 004 (NeurIPS, 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)

Functional Protein Design with Local Domain Alignment. - Chaohao Yuan; Songyou Li; Geyan Ye; Yikun Zhang; Long-Kai Huang; Wenbing Huang 001; Wei Liu 005; Jianhua Yao 001; Yu Rong 001 (CoRR, 2024)

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation. - Yikun Zhang; Geyan Ye; Chaohao Yuan; Bo Han 003; Long-Kai Huang; Jianhua Yao 001; Wei Liu 005; Yu Rong 001 (CoRR, 2024)

Reply to: Deeper evaluation of a single-cell foundation model. - Fan Yang 081; Fang Wang 028; Longkai Huang; Linjing Liu; Junzhou Huang; Jianhua Yao 001 (Nat. Mac. Intell., 2024)

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 (AAAI, 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 001; Hanspeter Pfister; Deyu Meng; Kede Ma; Ying Wei 001 (ICLR, 2025)

Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation. - Yikun Zhang; Geyan Ye; Chaohao Yuan; Bo Han 003; Long-Kai Huang; Jianhua Yao 001; Wei Liu 005; Yu Rong 001 (ICLR, 2025)

Annotation-guided Protein Design with Multi-Level Domain Alignment. - Chaohao Yuan; Songyou Li; Geyan Ye; Yikun Zhang; Long-Kai Huang; Wenbing Huang 001; Wei Liu 005; Jianhua Yao 001; Yu Rong 001 (KDD (1), 2025)

S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning. - Yichen Wu; Hongming Piao; Long-Kai Huang; Renzhen Wang; Wanhua Li 001; Hanspeter Pfister; Deyu Meng; Kede Ma; Ying Wei 001 (CoRR, 2025)