Hongxin Xiang
7 papers · 2024–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(18)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Healthcare & Medicine
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Research
(3)
Natural Language Processing
(2)
Application Areas
(2)
Architectures
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Interdisciplinary
(1)
Learning Types · Deep Learning
(1)
Keywords
molecular relational learning
(3)
graph neural network
(3)
knowledge distillation
(2)
molecular graph
(2)
large language model
(2)
cross-modal learning
(2)
drug discovery
(2)
molecular geometry learning
(1)
electron density
(1)
cross-modal distillation
(1)
image-based representation
(1)
machine learning force field
(1)
geometry representation
(1)
3d conformation
(1)
self-adaptive ordering
(1)
molecular stereochemistry
(1)
dual-task learning
(1)
chemical reaction prediction
(1)
retrosynthesis prediction
(1)
molecular modeling
(1)
Papers
Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo
ICLR 2025
DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models
IJCAI 2025
Electron Density-enhanced Molecular Geometry Learning
IJCAI 2025
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
IJCAI 2025
Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
ICLR 2025
An Image-enhanced Molecular Graph Representation Learning Framework
IJCAI 2024
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
NeurIPS 2024