Xiangxiang Zeng
19 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(15)
Deep Learning
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Core Methods
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Artificial Intelligence
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Learning Types · Machine Learning
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Core AI
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Models
(5)
Architectures
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Learning Types · Deep Learning
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Knowledge & Reasoning
(3)
Natural Language Processing
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Application Areas
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Learning Paradigms
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Optimization & Theory
(3)
Representation
(3)
Keywords
graph neural network
(5)
drug discovery
(3)
molecular representation
(3)
knowledge transfer
(2)
knowledge distillation
(2)
knowledge graph completion
(2)
large language model
(2)
knowledge graph embedding
(2)
multi-objective optimization
(2)
cross-modal learning
(2)
quality estimation
(1)
semantic representation
(1)
model merging
(1)
compositional learning
(1)
molecular optimization
(1)
inductive reasoning
(1)
transfer learning
(1)
reaction prediction
(1)
molecular geometry
(1)
bayesian optimization
(1)
Papers
CAML: A Conflict-Aware Molecular Language Model Merging Framework for Multi-Constraint Molecular Generation
ACL 2026
Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization
AAAI 2026
M2PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation
ACL 2026
Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis
CVPR 2026
TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction
AAAI 2026
An All-Atom Generative Model for Designing Protein Complexes
ICML 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
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
EMNLP 2025
Large Language and Protein Assistant for Protein-Protein Interactions Prediction
ACL 2025
Multi-Objective Molecular Design Through Learning Latent Pareto Set
AAAI 2025
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
AAAI 2025
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
ICLR 2025
An Image-enhanced Molecular Graph Representation Learning Framework
IJCAI 2024
Adaptive Compositional Continual Meta-Learning
ICML 2023
GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization
IJCAI 2023
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning
AAAI 2023
Totally Dynamic Hypergraph Neural Networks
IJCAI 2023
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
IJCAI 2020