Papers
Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training
Yishun Lu, Wesley Armour
Spiking-Aided Neural Architecture for Efficient and Robust WiFi Sensing
Yisha Lu, Liwen Jing, Jiangmao Zheng et al.
STEP-Nav: Spatial-Temporal Efficient Visual Token Pruning for Vision-and-Language Navigation with Large Language Models
Yantao Lu, Shiqi Sun, Ning Liu et al.
ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs
Weigang Lu, Ziyu Guan, Wei Zhao et al.
Autonomous Concept Drift Threshold Determination
Pengqian Lu, Jie Lu, Anjin Liu et al.
Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
Junkai Lu, Peng Chen, Chenjuan Guo et al.
Adapt Before Continual Learning
Aojun Lu, Tao Feng, Hangjie Yuan et al.
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
Afonso Lourenço, João Rodrigo, João Gama et al.
Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy
Yunbo Long, Jiaquan Zhang, Xi Chen et al.
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
Jiahuan Long, Tingsong Jiang, Wen Yao et al.
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
Ziwei Liu, Borui Kang, Wei Li et al.
Scaling Law for Large Wireless Models
Ziheng Liu, Jiayi Zhang, Haoyu Wang et al.
PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning
Zhuoyao Liu, Yang Liu, Wentao Feng et al.
Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting
Zhixin Liu, Xuanlin Liu, Sihan Xu et al.
Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models
Zhenxian Liu, Peixi Peng, Yangru Huang et al.
Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction
Zhenjiao Liu, Xue Xiao, Yao Chen et al.
A Unified Shape-Aware Foundation Model for Time Series Classification
Zhen Liu, Yucheng Wang, Boyuan Li et al.
DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation
Zhaowei Liu, Yihao Jiang, Rufei Gao et al.
GLOBA: Rethinking Parameter Conflicts in Model Merging
Zehao Liu, Kun Li, Wei Zhou
Redundancy-optimized Multi-head Attention Networks for Multi-view Multi-label Feature Selection
Yuzhou Liu, Jiarui Liu, Wanfu Gao
SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks
Yuze Liu, Chaochao Lu, Chao Yang
Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
Yuxuan Liu, Wenchao Xu, Haozhao Wang et al.
Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning
Yu Liu, Haoqin Yang, Jinping Sui et al.
Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
Yizhi Liu, Ruitao Pu, Shilin Xu et al.
Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting
Ying Liu, Bo Liu, Sheng Huang et al.