Yingjie Wang
16 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (11) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (7)
🏃
Academic Marathon
(5)
🧭
Keyword Pioneer
🏆
Grand Slam
🗃️
Keyword Collector
(53)
💎
Century Club
(14)
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
Conferences
AAAI (4)
ICLR (3)
ICML (3)
ACL (2)
NIPS (2)
CVPR (1)
IJCAI (1)
Top co-authors
Keywords
autonomous driving
(2)
large language model
(2)
additive model
(2)
bird's eye view
(2)
variable selection
(2)
robust estimation
(2)
3d object detection
(2)
feature selection
(1)
non-convex optimization
(1)
false discovery rate
(1)
sparse estimation
(1)
point cloud
(1)
multi-modal learning
(1)
distributed learning
(1)
statistical inference
(1)
gradient descent
(1)
parallel computing
(1)
multimodal learning
(1)
algorithmic stability
(1)
sensor fusion
(1)
Papers
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios
AAAI 2026
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
ACL 2026
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
ICLR 2025
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
AAAI 2025
Dynamic Parallel Tree Search for Efficient LLM Reasoning
ACL 2025
A Statistical Approach for Controlled Training Data Detection
ICLR 2025
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
ICML 2025
Towards Theoretical Understandings of Self-Consuming Generative Models
ICML 2024
Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation
IJCAI 2024
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
CVPR 2023
Tilted Sparse Additive Models
ICML 2023
CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
NIPS 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
NIPS 2020