Chuanjian Liu
14 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (6) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (25)
π
Interdisciplinary Bridge
π
Cross-Pollinator
(15)
πΊοΈ
Taxonomy Completionist
(25)
π§¬
Topic Evolution
π€
Dynamic Duo
(11)
ποΈ
Keyword Collector
(60)
π
Century Club
(14)
Conferences
AAAI (3)
NIPS (3)
ICCV (2)
ICML (2)
IJCAI (2)
CVPR (1)
NAACL (1)
Top co-authors
Keywords
model compression
(6)
knowledge distillation
(4)
convolutional neural network
(3)
neural network
(2)
object detection
(2)
inference acceleration
(2)
unsupervised pretraining
(1)
vision transformer
(1)
model quantization
(1)
empirical study
(1)
model pretraining
(1)
data-free learning
(1)
efficient computing
(1)
energy efficiency
(1)
multimodal learning
(1)
image segmentation
(1)
image recognition
(1)
parameter efficient
(1)
deep neural network
(1)
token efficiency
(1)
Papers
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models
NAACL 2025
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning
ICML 2025
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts
AAAI 2025
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries
AAAI 2024
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
AAAI 2024
An Empirical Study of Scaling Law for Scene Text Recognition
CVPR 2024
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings
ICCV 2023
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
NIPS 2023
Redistribution of Weights and Activations for AdderNet Quantization
NIPS 2022
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
NIPS 2020
LegoNet: Efficient Convolutional Neural Networks with Lego Filters
ICML 2019
Attribute Aware Pooling for Pedestrian Attribute Recognition
IJCAI 2019
Learning Instance-wise Sparsity for Accelerating Deep Models
IJCAI 2019
Data-Free Learning of Student Networks
ICCV 2019