Li Yu
23 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(50)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Pioneer
ποΈ
Keyword Collector
(103)
π₯
Unstoppable
(6)
π
Century Club
(20)
β‘
Prolific Year
(5)
Conferences
AAAI (8)
IJCAI (4)
MICCAI (4)
ACL (2)
CVPR (2)
ECCV (1)
MIDL (1)
SEMEVAL (1)
Top co-authors
Keywords
automated subject indexing
(2)
attention mechanism
(2)
semantic similarity
(2)
similarity matching
(2)
anomaly detection
(2)
federated learning
(2)
semantic segmentation
(2)
medical image segmentation
(2)
gaussian mixture model
(2)
vision-language model
(2)
reference learning
(2)
related subject ranking
(2)
video anomaly detection
(2)
object detection
(2)
medical imaging
(2)
graph theory
(1)
zero-shot learning
(1)
policy gradient
(1)
text classification
(1)
reinforcement learning
(1)
Papers
HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference
ACL 2026
Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment
AAAI 2026
LENS: Learning to Segment Anything with Unified Reinforced Reasoning
AAAI 2026
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation
AAAI 2025
RUC Team at SemEval-2025 Task 5: Fast Automated Subject Indexing: A Method Based on Similar Records Matching and Related Subject Ranking
ACL 2025
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection
AAAI 2025
RUC Team at SemEval-2025 Task 5: Fast Automated Subject Indexing: A Method Based on Similar Records Matching and Related Subject Ranking
SEMEVAL 2025
Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity
CVPR 2025
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
IJCAI 2024
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation
AAAI 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
AAAI 2024
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
IJCAI 2024
Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes
IJCAI 2024
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
MICCAI 2024
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
MICCAI 2024
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
MICCAI 2024
Revisiting Self-Attention in Medical Transformers via Dependency Sparsification
MICCAI 2024
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
IJCAI 2023
Imbalance-Aware Uplift Modeling for Observational Data
AAAI 2022
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing
AAAI 2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching
CVPR 2021
Skull R-CNN: A CNN-based network for the skull fracture detection
MIDL 2020
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving
ECCV 2020