Jiaqi Han
18 papers · 2022–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Renaissance Researcher (8)
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Conferences
NIPS (6)
ICML (4)
ICLR (3)
AAAI (1)
AISTATS (1)
EMNLP (1)
ICCV (1)
NAACL (1)
Top co-authors
Keywords
graph neural network
(3)
diffusion model
(3)
message passing
(2)
geometric deep learning
(2)
sampling strategy
(1)
attention mechanism
(1)
link prediction
(1)
hierarchical clustering
(1)
hyperparameter optimization
(1)
natural language understanding
(1)
conditional generation
(1)
intent detection
(1)
predictive modeling
(1)
geometric prior
(1)
protein design
(1)
multi-label classification
(1)
generative model
(1)
image generation
(1)
inductive bia
(1)
reinforcement learning
(1)
Papers
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
ICML 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
ICLR 2025
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
AISTATS 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
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
NAACL 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NIPS 2024
TFG: Unified Training-Free Guidance for Diffusion Models
NIPS 2024
Geometric Trajectory Diffusion Models
NIPS 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics
ICML 2024
Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
ICML 2024
Crystal Structure Prediction by Joint Equivariant Diffusion
NIPS 2023
Language Model is Suitable for Correction of Handwritten Mathematical Expressions Recognition
EMNLP 2023
Subequivariant Graph Reinforcement Learning in 3D Environments
ICML 2023
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
AAAI 2023
Learning Physical Dynamics with Subequivariant Graph Neural Networks
NIPS 2022
Equivariant Graph Hierarchy-Based Neural Networks
NIPS 2022
Equivariant Graph Mechanics Networks with Constraints
ICLR 2022