Yingjie Wang
16 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(11)
Deep Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(4)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Analysis
(2)
Domain-Specific
(2)
Learning Types Β· Machine Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Keywords
robust estimation
(2)
variable selection
(2)
large language model
(2)
generalization bound
(2)
autonomous driving
(2)
bird's eye view
(2)
3d object detection
(2)
additive model
(2)
in-context learning
(2)
sparse additive model
(2)
statistical inference
(1)
sparse estimation
(1)
distributed learning
(1)
point cloud
(1)
stochastic gradient descent
(1)
multimodal learning
(1)
parallel computing
(1)
false discovery rate
(1)
synthetic data generation
(1)
sensor fusion
(1)
Papers
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
ACL 2026
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios
AAAI 2026
A Statistical Approach for Controlled Training Data Detection
ICLR 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
ICLR 2025
Dynamic Parallel Tree Search for Efficient LLM Reasoning
ACL 2025
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
AAAI 2025
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
ICML 2025
Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation
IJCAI 2024
Towards Theoretical Understandings of Self-Consuming Generative Models
ICML 2024
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
CVPR 2023
CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
NeurIPS 2023
Tilted Sparse Additive Models
ICML 2023
Error-Based Knockoffs Inference for Controlled Feature Selection
AAAI 2022
Huber Additive Models for Non-stationary Time Series Analysis
ICLR 2022
Distributed Ranking with Communications: Approximation Analysis and Applications
AAAI 2021
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery
NeurIPS 2020