Yihan He
5 papers · 2020–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(18)
Venues
Top co-authors
Research topics
Artificial Intelligence
(3)
Machine Learning
(3)
Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Computer Vision
(2)
Deep Learning
(2)
Architectures
(2)
Optimization & Theory · Deep Learning
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Types
(1)
Keywords
deep reinforcement learning
(1)
neural network compression
(1)
attention mechanism
(1)
in-context learning
(1)
global convergence
(1)
autonomous driving
(1)
video understanding
(1)
video temporal grounding
(1)
nonparametric learning
(1)
nearest neighbor
(1)
gradient descent
(1)
weibull distribution
(1)
nearest neighbor classifier
(1)
optimization theory
(1)
gradient flow
(1)
mean-field limit
(1)
weight decay regularization
(1)
weight decay
(1)
vision-language model
(1)
transformer training
(1)
Papers
T2SGrid: Temporal-to-Spatial Gridification for Video Temporal Grounding
CVPR 2026
Global Convergence in Training Large-Scale Transformers
NeurIPS 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
NeurIPS 2024
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
NeurIPS 2022
Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript
ICML 2020