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Xi Xiao

23 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (9)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🏃 Academic Marathon (6) 💎 Century Club (18) Prolific Year (7) 🗃️ Keyword Collector (115) 🔥 Unstoppable (7) 📈 Trend Setter

Conferences

AAAI (8) NIPS (3) WACV (3) EMNLP (2) IJCAI (2) ACL (1) ACML (1) CVPR (1) ICCV (1) ICML (1)

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