Xi Xiao
23 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
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AAAI (8)
NIPS (3)
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Keywords
knowledge distillation
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graph neural network
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knowledge transfer
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low-rank adaptation
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contrastive learning
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domain adaptation
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black-box attack
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representation learning
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parameter-efficient fine-tuning
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road damage detection
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adversarial attack
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adversarial training
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information bottleneck
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sample efficiency
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transfer learning
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few-shot learning
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catastrophic forgetting
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reward modeling
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optimal transport
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Papers
Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection
WACV 2026
TWINFUZZ: Dual-Model Fuzzing for Robustness Generalization in Deep Learning
AAAI 2026
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
AAAI 2026
4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis
WACV 2026
Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
AAAI 2026
CrystalDiT: Simple Diffusion Transformers for Crystal Generation
AAAI 2026
Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
ACL 2026
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
WACV 2026
MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization
ICCV 2025
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
AAAI 2025
SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design
EMNLP 2025
Sensitivity-LoRA : Low-Load Sensitivity-Based Fine-Tuning for Large Language Models
EMNLP 2025
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
AAAI 2024
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
ICML 2024
SDformer: Similarity-driven Discrete Transformer For Time Series Generation
NIPS 2024
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
AAAI 2024
Metis: Understanding and Enhancing In-Network Regular Expressions
NIPS 2023
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport
IJCAI 2022
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
ACML 2021
On Self-Distilling Graph Neural Network
IJCAI 2021
Maintaining Discrimination and Fairness in Class Incremental Learning
CVPR 2020
Adversarial Sparse Transformer for Time Series Forecasting
NIPS 2020
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
AAAI 2020