Chaoran Cheng
12 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (26) π Interdisciplinary Bridge π Conference Polyglot (6)
π
Academic Marathon
(6)
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Cross-Pollinator
(14)
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Renaissance Researcher
(7)
π
Grand Slam
π
Century Club
(12)
Conferences
ICLR (4)
NIPS (3)
AAAI (2)
CVPR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
flow matching
(2)
graph neural network
(2)
optimal transport
(1)
text generation
(1)
3d vision
(1)
point cloud analysis
(1)
geometric deep learning
(1)
generative model
(1)
end-to-end learning
(1)
fine-tuning
(1)
fisher information
(1)
message passing
(1)
mutual information
(1)
information geometry
(1)
molecular geometry
(1)
low-resource learning
(1)
disentangled representation
(1)
geometric graph neural network
(1)
named entity recognition
(1)
representation learning
(1)
Papers
Gradient-Free Generation for Hard-Constrained Systems
ICLR 2025
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
ICLR 2025
Training Free Guided Flow-Matching with Optimal Control
ICLR 2025
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
ICLR 2025
Full-Atom Peptide Design based on Multi-modal Flow Matching
ICML 2024
Categorical Flow Matching on Statistical Manifolds
NIPS 2024
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
NIPS 2024
Equivariant Neural Operator Learning with Graphon Convolution
NIPS 2023
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
CVPR 2022
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation
AAAI 2022
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature
AAAI 2020
Success Prediction on Crowdfunding with Multimodal Deep Learning
IJCAI 2019