Chuanjian Liu
14 papers · 2019–2025 · 7 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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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25)
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Keyword Pioneer
π€
Dynamic Duo
(11)
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Century Club Β· Bronze
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Keyword Collector
(65)
Top co-authors
Research topics
Machine Learning
(13)
Application Areas
(10)
Deep Learning
(9)
Architectures
(6)
Artificial Intelligence
(5)
Computer Vision
(5)
Analysis
(5)
Core AI
(5)
Optimization & Theory
(5)
Core Methods
(2)
Techniques
(2)
Computer Science
(1)
Natural Language Processing
(1)
Applications
(1)
Learning Types
(1)
Keywords
model compression
(6)
knowledge distillation
(4)
convolutional neural network
(3)
large language model
(2)
object detection
(2)
inference acceleration
(2)
neural network
(2)
unsupervised pretraining
(1)
vision transformer
(1)
model quantization
(1)
model pretraining
(1)
data-free learning
(1)
efficient computing
(1)
energy efficiency
(1)
empirical study
(1)
multimodal learning
(1)
image segmentation
(1)
image recognition
(1)
deep neural network
(1)
parameter efficient
(1)
Papers
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models
NAACL 2025
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts
AAAI 2025
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning
ICML 2025
An Empirical Study of Scaling Law for Scene Text Recognition
CVPR 2024
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries
AAAI 2024
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
AAAI 2024
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings
ICCV 2023
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
NeurIPS 2023
Redistribution of Weights and Activations for AdderNet Quantization
NeurIPS 2022
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
NeurIPS 2020
Attribute Aware Pooling for Pedestrian Attribute Recognition
IJCAI 2019
Data-Free Learning of Student Networks
ICCV 2019
Learning Instance-wise Sparsity for Accelerating Deep Models
IJCAI 2019
LegoNet: Efficient Convolutional Neural Networks with Lego Filters
ICML 2019