Xiaohan Ding
18 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Grand Slam
π€
Dynamic Duo
(12)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(79)
Top co-authors
Research topics
Deep Learning
(15)
Machine Learning
(12)
Architectures
(9)
Optimization & Theory Β· Deep Learning
(8)
Techniques
(7)
Artificial Intelligence
(5)
Computer Vision
(5)
Analysis
(5)
Application Areas
(5)
Core AI Β· Artificial Intelligence
(4)
Optimization & Theory Β· Machine Learning
(4)
Core Methods
(3)
Learning Types
(2)
Core AI Β· Computer Vision
(1)
Learning Paradigms
(1)
Keywords
convolutional neural network
(8)
model compression
(5)
model architecture
(5)
semantic segmentation
(4)
filter pruning
(3)
structural re-parameterization
(3)
zero-shot learning
(2)
image classification
(2)
inference speed
(2)
neural network pruning
(2)
audio recognition
(2)
image recognition
(2)
inference optimization
(2)
object detection
(2)
large kernel convolution
(2)
multimodal learning
(2)
natural language processing
(1)
causal reasoning
(1)
transfer learning
(1)
neural network compression
(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
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
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
Evolving Semantic Prototype Improves Generative Zero-Shot Learning
ICML 2023
Re-parameterizing Your Optimizers rather than Architectures
ICLR 2023
RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality
CVPR 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
CVPR 2022
Diverse Branch Block: Building a Convolution as an Inception-Like Unit
CVPR 2021
RepVGG: Making VGG-Style ConvNets Great Again
CVPR 2021
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
ICCV 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
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
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
NeurIPS 2019