Xiaochen Yang
9 papers · 2020–2026 · 5 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
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (36) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
🌈
Renaissance Researcher
(6)
🗃️
Keyword Collector
(61)
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(6)
Artificial Intelligence
(4)
Core AI
(4)
Techniques
(4)
Application Areas
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Computer Vision
(2)
Analysis
(2)
Architectures
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Data Science & Analytics
(1)
Keywords
neural tangent kernel
(2)
neural network optimization
(2)
metric learning
(1)
non-convex optimization
(1)
domain adaptation
(1)
temporal dynamics
(1)
chain-of-thought reasoning
(1)
vector quantization
(1)
autoregressive generation
(1)
model architecture
(1)
privacy preservation
(1)
attention mechanism
(1)
efficient computing
(1)
computational efficiency
(1)
feature learning
(1)
feature space
(1)
gradient descent
(1)
model pruning
(1)
condition number
(1)
representation learning
(1)
Papers
Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning
ACL 2026
SPAN: Spatial-Projection Alignment for Monocular 3D Object Detection
CVPR 2026
UVU: Improving Multimodal Understanding via Vision-Language Unified Autoregressive Paradigm
CVPR 2026
Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
CVPR 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
NeurIPS 2024
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
ICLR 2023
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
NeurIPS 2023
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
AAAI 2022
Generalization Bound of Gradient Descent for Non-Convex Metric Learning
NeurIPS 2020