Dawei Yang
24 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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(113)
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Century Club Β· Bronze
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Research topics
Deep Learning
(15)
Machine Learning
(14)
Artificial Intelligence
(12)
Core AI
(12)
Computer Vision
(11)
Application Areas
(10)
Analysis
(8)
Architectures
(8)
Optimization & Theory Β· Deep Learning
(5)
Optimization & Theory Β· Machine Learning
(4)
Domain-Specific
(3)
Models
(3)
Core Methods
(2)
Generation
(2)
Learning Types
(2)
Keywords
model compression
(7)
post-training quantization
(5)
model quantization
(3)
quantization
(2)
neural network
(2)
autonomous driving
(2)
image warping
(2)
3d vision
(2)
diffusion model
(2)
virtual try-on
(2)
depth estimation
(2)
3d object detection
(2)
attention mechanism
(2)
large language model
(2)
computer vision
(1)
feature extraction
(1)
image segmentation
(1)
domain adaptation
(1)
transfer learning
(1)
representation learning
(1)
Papers
BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs
ACL 2026
CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model
CVPR 2026
FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection
AAAI 2026
OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs
AAAI 2026
VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling
AAAI 2026
EA-Vit: Efficient Adaptation for Elastic Vision Transformer
ICCV 2025
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
ACL 2025
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
ICLR 2025
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
ICML 2025
OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
ICLR 2025
PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram
CVPR 2025
Pushing the Limits of BFP on Narrow Precision LLM Inference
AAAI 2025
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
ICML 2025
SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
MICCAI 2025
M&M VTO: Multi-Garment Virtual Try-On and Editing
CVPR 2024
Foreground-Background Distribution Modeling Transformer for Visual Object Tracking
ICCV 2023
PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
CVPR 2023
TryOnDiffusion: A Tale of Two UNets
CVPR 2023
Learning to Generate 3D Training Data Through Hybrid Gradient
CVPR 2020
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
NeurIPS 2020
MeshAdv: Adversarial Meshes for Visual Recognition
CVPR 2019
Decorrelated Batch Normalization
CVPR 2018
Shape From Shading Through Shape Evolution
CVPR 2018
Single-Image Depth Perception in the Wild
NeurIPS 2016