Xingyu Zhao
19 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(49)
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
ποΈ
Keyword Collector
(83)
π
Century Club
(16)
π
Trend Setter
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
π
Conference Pioneer
Conferences
AAAI (9)
IJCAI (3)
ICCV (2)
CVPR (1)
ECCV (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
representation learning
(6)
contrastive learning
(2)
feature representation
(2)
bayesian inference
(2)
explainable ai
(2)
self-supervised learning
(2)
adversarial perturbation
(2)
generative model
(2)
spatio-temporal datum
(2)
adversarial robustness
(2)
transfer learning
(2)
risk management
(1)
uncertainty quantification
(1)
attention mechanism
(1)
image retrieval
(1)
few-shot learning
(1)
image classification
(1)
deepfake detection
(1)
multi-label learning
(1)
adversarial training
(1)
Papers
Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation
AAAI 2026
Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning
AAAI 2026
TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space
AAAI 2026
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
AAAI 2025
Risk Controlled Image Retrieval
AAAI 2025
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
CVPR 2025
Adversarial Training for Probabilistic Robustness
ICCV 2025
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
AAAI 2025
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models
NIPS 2024
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning
AAAI 2024
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation
ECCV 2024
Position: Building Guardrails for Large Language Models Requires Systematic Design
ICML 2024
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
ICCV 2023
Imbalanced Label Distribution Learning
AAAI 2023
Learning to Learn from Corrupted Data for Few-Shot Learning
IJCAI 2023
Fusion Label Enhancement for Multi-Label Learning
IJCAI 2022
BayLIME: Bayesian local interpretable model-agnostic explanations
UAI 2021
Conditional Self-Supervised Learning for Few-Shot Classification
IJCAI 2021
Probabilistic Model Checking of Robots Deployed in Extreme Environments
AAAI 2019