Yuxin Li
16 papers · 2023–2026 · 8 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33) 🗃️ Keyword Collector (78)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(5)
Core Methods
(5)
Computer Vision
(4)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Optimization & Theory
(4)
Models
(3)
Analysis
(2)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Keywords
large language model
(3)
reinforcement learning
(2)
multivariate time series
(2)
semi-supervised learning
(2)
optimal transport
(2)
anomaly detection
(2)
formal verification
(1)
scene representation
(1)
prototype learning
(1)
answer extraction
(1)
loss function
(1)
class imbalance
(1)
data augmentation
(1)
time series forecasting
(1)
probabilistic model
(1)
medical imaging
(1)
dual optimization
(1)
diffusion model
(1)
mathematical reasoning
(1)
domain generalization
(1)
Papers
CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
AAAI 2026
Dual-Horizon Interest Model for Unified Search and Recommendation
AAAI 2026
Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models
ACL 2026
Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation
MIDL 2026
Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation
CVPR 2025
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
ICLR 2025
Let’s Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM’s Math Capability
EMNLP 2025
MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
ICML 2025
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
MICCAI 2025
OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation
ICML 2025
A Study of Implicit Ranking Unfairness in Large Language Models
EMNLP 2024
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
ICLR 2024
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
ICLR 2024
Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection
ICML 2024
Delving into Semantic Scale Imbalance
ICLR 2023
Prototype-oriented unsupervised anomaly detection for multivariate time series
ICML 2023