Jinqi Xiao
7 papers · 2023–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(4)
Application Areas
(4)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI · Artificial Intelligence
(3)
Optimization & Theory · Deep Learning
(3)
Computer Vision
(1)
Robotics
(1)
Capabilities
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Techniques
(1)
Keywords
model compression
(4)
motion planning
(1)
image classification
(1)
vision transformer
(1)
attention mechanism
(1)
efficient computing
(1)
low-rank decomposition
(1)
computational efficiency
(1)
low-rank approximation
(1)
model pruning
(1)
diffusion model
(1)
memory efficiency
(1)
mixture of expert
(1)
vision-language model
(1)
inference optimization
(1)
token pruning
(1)
inference efficiency
(1)
parameter efficiency
(1)
kv cache
(1)
flash attention
(1)
Papers
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection
CVPR 2025
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
CVPR 2025
Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness
ECCV 2024
MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
EMNLP 2024
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
ICML 2023
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search
NeurIPS 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
AAAI 2023