Haitian Jiang
4 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(3)
Architectures
(3)
Application Areas
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Learning Types
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
graph neural network
(2)
node classification
(2)
post-training quantization
(1)
image generation
(1)
attention mechanism
(1)
graph representation learning
(1)
knowledge distillation
(1)
model architecture
(1)
energy minimization
(1)
wavelet transform
(1)
data-free learning
(1)
graph representation
(1)
large-scale learning
(1)
generative adversarial network
(1)
pose transfer
(1)
inference acceleration
(1)
synthetic image generation
(1)
quantization-aware training
(1)
flow estimation
(1)
large-scale graph
(1)
Papers
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
ICLR 2025
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
NeurIPS 2023
WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer
ICCV 2023
DFQF: Data Free Quantization-aware Fine-tuning
ACML 2020