Xingyu Li
29 papers · 2019–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird
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Conference Polyglot
(14)
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Academic Marathon
(6)
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Keyword Pioneer
🧬
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Keyword Collector
(118)
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(7)
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(24)
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The Questioner
Conferences
AAAI (6)
ACL (3)
CVPR (3)
ICLR (3)
ECCV (2)
EMNLP (2)
ICML (2)
IJCAI (2)
AISTATS (1)
ICCV (1)
MICCAI (1)
MIDL (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
representation learning
(3)
multi-modal learning
(3)
contrastive learning
(2)
multimodal learning
(2)
federated learning
(2)
knowledge distillation
(2)
unsupervised learning
(2)
chinese language
(2)
adversarial robustness
(2)
neural network
(2)
sharpness aware minimization
(2)
question answering
(1)
weakly supervised learning
(1)
frame interpolation
(1)
domain adaptation
(1)
optimal transport
(1)
video understanding
(1)
object detection
(1)
information retrieval
(1)
model evaluation
(1)
Papers
SynerDetect: Hierarchical Synergistic Learning for Generalizable AI-Generated Image Detection
AAAI 2026
PAR2-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering
ACL 2026
AI in the Wild: A Meta-Analytic Evaluation of Depression Detection from Social Media Data
AAAI 2026
LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
AAAI 2026
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning
AAAI 2026
InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling
ICLR 2025
Multimodal Coreference Resolution for Chinese Social Media Dialogues: Dataset and Benchmark Approach
ACL 2025
Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
MICCAI 2025
Federated Text-driven Prompt Generation for Vision-Language Models
ICLR 2024
MODDP: A Multi-modal Open-domain Chinese Dataset for Dialogue Discourse Parsing
ACL 2024
Domain Generalization of 3D Object Detection by Density-Resampling
ECCV 2024
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
ICML 2024
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
ICCV 2023
Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence
AAAI 2023
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
AAAI 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
MIDL 2023
Bi-Directional Frame Interpolation for Unsupervised Video Anomaly Detection
WACV 2023
How To Prevent the Poor Performance Clients for Personalized Federated Learning?
CVPR 2023
Improving Contrastive Learning of Sentence Embeddings with Focal InfoNCE
EMNLP 2023
DDDM: A Brain-Inspired Framework for Robust Classification
IJCAI 2022
Object Wake-Up: 3D Object Rigging from a Single Image
ECCV 2022
Anomaly Detection via Reverse Distillation From One-Class Embedding
CVPR 2022
Generating Diverse and Natural 3D Human Motions From Text
CVPR 2022
Generalized Federated Learning via Sharpness Aware Minimization
ICML 2022
SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities
IJCAI 2022
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
ICLR 2021
Sample Elicitation
AISTATS 2021
Research Replication Prediction Using Weakly Supervised Learning
EMNLP 2020
End-to-End Open-Domain Question Answering with BERTserini
NAACL 2019