Xiaohan Ding

13

Papers

20

Total Citations

Papers (13)

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Quantized Prompt for Efficient Generalization of Vision-Language Models

UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition

Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure

Diverse Branch Block: Building a Convolution as an Inception-Like Unit

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting

RepVGG: Making VGG-Style ConvNets Great Again

Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization