Xiaohan Ding
18 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon (6) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(12)
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(76)
π
Conference Pioneer
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
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Century Club
(18)
Conferences
CVPR (8)
ECCV (2)
ICCV (2)
ICML (2)
AAAI (1)
EMNLP (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
convolutional neural network
(8)
model compression
(5)
model architecture
(4)
semantic segmentation
(4)
structural re-parameterization
(3)
filter pruning
(3)
zero-shot learning
(2)
image classification
(2)
large kernel convolution
(2)
neural network pruning
(2)
audio recognition
(2)
inference optimization
(2)
image recognition
(2)
object detection
(2)
natural language processing
(1)
causal reasoning
(1)
transfer learning
(1)
neural network compression
(1)
network architecture
(1)
network pruning
(1)
Papers
A Multi-Level Benchmark for Causal Language Understanding in Social Media Discourse
EMNLP 2025
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs
CVPR 2024
Online Vectorized HD Map Construction using Geometry
ECCV 2024
Quantized Prompt for Efficient Generalization of Vision-Language Models
ECCV 2024
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition
CVPR 2024
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
CVPR 2024
Evolving Semantic Prototype Improves Generative Zero-Shot Learning
ICML 2023
Re-parameterizing Your Optimizers rather than Architectures
ICLR 2023
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
CVPR 2022
RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality
CVPR 2022
RepVGG: Making VGG-Style ConvNets Great Again
CVPR 2021
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
ICCV 2021
Diverse Branch Block: Building a Convolution as an Inception-Like Unit
CVPR 2021
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
ICCV 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
ICML 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
NIPS 2019
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure
CVPR 2019
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning
AAAI 2019