Papers
Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
Zhan Fa, Yue Duan, Jian Zhang et al.
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
Clément Elliker, Jesse Read, Sonia Vanier et al.
FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding
Zehua Duo, Jiang Li, Xiangdong Su et al.
K-ProtoDiff: Key Prototypes-Guided Diffusion for Time Series Generation
Yuhang Duan, Lin Lin, Xiaoshuai Wu
Learning Intrinsic Hierarchy for Generalized Category Discovery
Yu Duan, Junzhi He, Zhanxuan Hu et al.
Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment
Yiming Du, Ziyu Wang, Jian Li et al.
Flexible Concept Bottleneck Model
Xingbo Du, Qiantong Dou, Lei Fan et al.
Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models
Miaozeng Du, Jiaqi Li, Sirui Pan et al.
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
Lin Du, Lu Bai, Jincheng Li et al.
GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
Hangyuan Du, Rong Wang, Lixin Cui et al.
Predicting the Future by Retrieving the Past
Dazhao Du, Tao Han, Song Guo
Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore
Mingliang Dou, Linfeng Wen, Jinyang Xie et al.
DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions
Jitong Dou, Lingrui Luo, Bing Zhu et al.
Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes
Hongkun Dou, Zike Chen, Zeyu Li et al.
Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition
Yuan Dong, Zhe Zhao, Liheng Yu et al.
EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation
Yonghao Dong, Qiang He, Penghong Rui et al.
Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching
Yanhao Dong, Yubo Miao, Weinan Li et al.
RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering Under Multi-Source Noise
Shihao Dong, Yue Liu, Xiaotong Zhou et al.
Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs
Xuan Ding, Rui Sun, Yunjian Zhang et al.
Learning Time in Static Classifiers
Xi Ding, Lei Wang, Piotr Koniusz et al.
PrefixGPT: Prefix Adder Optimization by a Generative Pre-trained Transformer
Ruogu Ding, Xin Ning, Ulf Schlichtmann et al.
Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub
Ling Ding, Tianbai Lyu, Zhiliang Bi et al.
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
Kuiye Ding, Fanda Fan, Chunyi Hou et al.
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
Hang Ding, Xue Wang, Tian Zhou et al.
CIP-Net: Continual Interpretable Prototype-based Network
Federico Di Valerio, Michela Proietti, Alessio Ragno et al.