Haitian Jiang
4 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
Conferences
ACML (1)
ICCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
model compression
(1)
model quantization
(1)
image generation
(1)
attention mechanism
(1)
graph representation learning
(1)
knowledge distillation
(1)
model architecture
(1)
wavelet transform
(1)
data-free learning
(1)
graph representation
(1)
large-scale learning
(1)
node classification
(1)
generative adversarial network
(1)
pose transfer
(1)
inference acceleration
(1)
quantization-aware training
(1)
flow estimation
(1)
large-scale graph
(1)
global attention
(1)
graph neural network
(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
NIPS 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