Jiaqi Han
20 papers · 2022–2026 · 9 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Grand Slam
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Renaissance Researcher
(6)
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Century Club Β· Bronze
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Research topics
Deep Learning
(15)
Machine Learning
(14)
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(10)
Artificial Intelligence
(8)
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(7)
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(7)
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(6)
Core Methods
(4)
Computer Vision
(3)
Application Areas
(3)
Generation Β· Computer Vision
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Generation Β· Natural Language Processing
(2)
Keywords
diffusion model
(6)
graph neural network
(4)
message passing
(3)
generative model
(3)
geometric deep learning
(2)
equivariant learning
(2)
molecular dynamics
(2)
se(3) equivariance
(2)
image generation
(2)
direct preference optimization
(1)
language model alignment
(1)
hierarchical clustering
(1)
natural language understanding
(1)
sampling strategy
(1)
link prediction
(1)
conditional generation
(1)
ridge regression
(1)
hyperparameter optimization
(1)
predictive modeling
(1)
intent detection
(1)
Papers
Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
CVPR 2026
Spatiotemporal Pyramid Flow Matching for Climate Emulation
CVPR 2026
f-PO: Generalizing Preference Optimization with f-divergence Minimization
AISTATS 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
ICLR 2025
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
ICCV 2025
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
ICLR 2025
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
ICML 2025
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
NAACL 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics
ICML 2024
Geometric Trajectory Diffusion Models
NeurIPS 2024
Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
ICML 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NeurIPS 2024
TFG: Unified Training-Free Guidance for Diffusion Models
NeurIPS 2024
Crystal Structure Prediction by Joint Equivariant Diffusion
NeurIPS 2023
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
AAAI 2023
Language Model is Suitable for Correction of Handwritten Mathematical Expressions Recognition
EMNLP 2023
Subequivariant Graph Reinforcement Learning in 3D Environments
ICML 2023
Equivariant Graph Hierarchy-Based Neural Networks
NeurIPS 2022
Equivariant Graph Mechanics Networks with Constraints
ICLR 2022
Learning Physical Dynamics with Subequivariant Graph Neural Networks
NeurIPS 2022