Xinyue Liu
21 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Machine Learning
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Deep Learning
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Artificial Intelligence
(11)
Core AI
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Learning Types Β· Deep Learning
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Learning Types Β· Machine Learning
(8)
Natural Language Processing
(6)
Core Methods
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Computer Vision
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Keywords
multimodal learning
(4)
diffusion model
(4)
temporal knowledge graph
(3)
graph neural network
(3)
representation learning
(2)
contrastive learning
(2)
knowledge distillation
(2)
fake news detection
(2)
knowledge graph reasoning
(2)
few-shot learning
(2)
metric learning
(2)
named entity recognition
(2)
sequence labeling
(2)
text classification
(2)
short video
(2)
sample efficiency
(1)
anomaly detection
(1)
image generation
(1)
stochastic gradient descent
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optimal transport
(1)
Papers
TAPE: Task-Adaptive Prototype Evolution in Audio-Language Models for Fully Few-shot Class-incremental Audio Classification
CVPR 2026
Think-Then-Generate: Structural Chain-of-Thought Reasoning for Consistent 3D Generation
CVPR 2026
Towards Fine-Grained Attribution: Instance-Aware Preference Optimization for Aligning Diffusion Models
CVPR 2026
Conditional Semantic Textual Similarity via Conditional Contrastive Learning
COLING 2025
Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning
UAI 2025
HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma
MICCAI 2025
Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs
COLING 2025
Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection
AAAI 2025
Unlocking the Potential of Reverse Distillation for Anomaly Detection
AAAI 2025
A Goal Interaction Graph Planning Framework for Conversational Recommendation
AAAI 2024
General Stability Analysis for Zeroth-Order Optimization Algorithms
ICLR 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks
EMNLP 2024
RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion
COLING 2024
Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding
COLING 2024
Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection
ACL 2024
Video-Context Aligned Transformer for Video Question Answering
AAAI 2024
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation
ACL 2023
Multimodal Context Carryover
EMNLP 2022
Enhance Robustness of Sequence Labelling with Masked Adversarial Training
EMNLP 2020
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention
COLING 2020
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling
ACL 2020