Xuan Liu
30 papers · 2016–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (10) π Academic Marathon (9) π§ Keyword Pioneer π Conference Polyglot (13) π Renaissance Researcher (9)
π
Academic Marathon
(9)
π§
Keyword Pioneer
π
Cross-Pollinator
(10)
π
Grand Slam
π₯
Unstoppable
(5)
π
Century Club
(29)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(128)
Conferences
AAAI (8)
IJCAI (5)
ACL (3)
EMNLP (3)
ICML (3)
CVPR (1)
EACL (1)
ICCV (1)
ICLR (1)
IJCNLP (1)
MICCAI (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
graph neural network
(4)
contrastive learning
(3)
transfer learning
(3)
multi-agent reinforcement learning
(3)
representation learning
(3)
few-shot learning
(3)
multi-modal learning
(2)
sparse coding
(2)
heterogeneous graph
(2)
diffusion model
(2)
drug-drug interaction
(2)
semantic alignment
(2)
federated learning
(2)
knowledge distillation
(2)
multi-label classification
(2)
bilevel optimization
(2)
non-convex optimization
(1)
multi-task learning
(1)
privacy attack
(1)
sample efficiency
(1)
Papers
DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning
AAAI 2026
Spotlighter: Revisiting Prompt Tuning from a Representative Mining View
EMNLP 2025
Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients
AAAI 2025
MjΓΆlnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
AAAI 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
CVPR 2025
Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View
ICLR 2025
MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms
MICCAI 2025
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-modal Uniform Alignment
IJCAI 2024
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
IJCAI 2024
Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract)
IJCAI 2024
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
AAAI 2024
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
EACL 2024
Structured Chemistry Reasoning with Large Language Models
ICML 2024
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning
AAAI 2024
Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction
IJCAI 2023
Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction
AAAI 2023
MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract)
AAAI 2023
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data
EMNLP 2023
Learning Dictionary for Visual Attention
NIPS 2023
I am PsyAM: Modeling Happiness with Cognitive Appraisal Dimensions
ACL 2023
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
ICML 2022
Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks
IJCAI 2022
The Psychology of Semantic Spaces: Experiments with Positive Emotion (Student Abstract)
AAAI 2022
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
ICML 2021
Cross-lingual Text Classification with Heterogeneous Graph Neural Network
ACL 2021
Self-Supervised Image Prior Learning With GMM From a Single Noisy Image
ICCV 2021
Cross-lingual Text Classification with Heterogeneous Graph Neural Network
IJCNLP 2021
Binarized LSTM Language Model
NAACL 2018
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
ACL 2018
Multi-view Response Selection for Human-Computer Conversation
EMNLP 2016