Papers
Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments
Shuxia Lin, Qiufeng Wang, Chang Liu et al.
Bandit Learning in Housing Markets
Shiyun Lin
Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network
Renjie Lin, Hongzhi He, Yilin Wu et al.
Flow-Induced Diagonal Gaussian Processes
Moule Lin, Andrea Patane, Weipeng Jing et al.
ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation
Li Lin, Xinrui Zhang, Qi Zhang et al.
UniSketch: A Unified Framework for Parametric Sketch Generation and Constraint Prediction
Jing Lin, Fazhi He, Rubin Fan
FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation
Haiyan Lin, Qi Shen, Fei Zhu et al.
Impute Missing Entries with Uncertainty
Jaesung Lim, Seunghwan An, Jong-June Jeon
BRIC: Bridging Kinematic Plans and Physical Control at Test Time
Dohun Lim, Minji Kim, Jaewoon Lim et al.
Unsupervised Feature Selection Through Group Discovery
Shira Lifshitz, Ofir Lindenbaum, Gal Mishne et al.
Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer
Yongkai Liao, Xinxing Chen, Zhongzheng Fu et al.
EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers
Wenwen Liao, Hang Ruan, Jianbo Yu et al.
From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning
Weiran Liao, Jielong Lu, Yuhong Chen et al.
Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception
Huaizhang Liao, Zhixiong Yang, Jingyuan Xia et al.
DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise
Zhuoxuan Liang, Wei Li, Dalin Zhang et al.
Attribute-guided Dynamic Prompt Learning for Graph Neural Networks
Zhuomin Liang, Liang Bai, Xian Yang
Enhancing Spatial Reasoning Through Visual and Textual Thinking
Xun Liang, Xin Guo, Zhongming Jin et al.
On the Impact of Weight Quantization on Deep Neural Network Uncertainty
Shuang Liang, Xun Lu, Zi-Ang Liu et al.
Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
Jinhao Liang, Sven Koenig, Ferdinando Fioretto
Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions
Jiazhou Liang, Hassan Khurram, Scott Sanner
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses
Hao Liang, Wanrong Zhang, Xinlei He et al.
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
Daojun Liang, Jing Chen, Xiao Wang et al.
Fair Domain Generalization: An Information-Theoretic View
Tangzheng Lian, Guanyu Hu, Dimitrios Kollias et al.
ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval
Zixu Li, Yupeng Hu, Zhiwei Chen et al.
Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
Zihan Li, Wei Sun, Jing Hu et al.