Xiangxiang Zeng
18 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (3)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(36)
π
Conference Polyglot
(6)
π
Keyword Champion
(3)
π
Century Club
(14)
ποΈ
Keyword Collector
(81)
β‘
Prolific Year
(8)
Conferences
IJCAI (6)
AAAI (5)
ACL (3)
ICML (2)
EMNLP (1)
ICLR (1)
Top co-authors
Keywords
graph neural network
(5)
drug discovery
(3)
molecular representation
(3)
large language model
(2)
cross-modal learning
(2)
multi-objective optimization
(2)
knowledge distillation
(2)
quality estimation
(1)
knowledge transfer
(1)
molecular optimization
(1)
model merging
(1)
semantic representation
(1)
inductive reasoning
(1)
compositional learning
(1)
transfer learning
(1)
reaction prediction
(1)
bayesian optimization
(1)
preference optimization
(1)
molecular geometry
(1)
multi-label prediction
(1)
Papers
TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction
AAAI 2026
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
An All-Atom Generative Model for Designing Protein Complexes
ICML 2025
Multi-Objective Molecular Design Through Learning Latent Pareto Set
AAAI 2025
Large Language and Protein Assistant for Protein-Protein Interactions Prediction
ACL 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
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
ICLR 2025
SΒ²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
AAAI 2025
Electron Density-enhanced Molecular Geometry Learning
IJCAI 2025
An Image-enhanced Molecular Graph Representation Learning Framework
IJCAI 2024
Totally Dynamic Hypergraph Neural Networks
IJCAI 2023
Adaptive Compositional Continual Meta-Learning
ICML 2023
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning
AAAI 2023
GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization
IJCAI 2023
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
IJCAI 2020