Chen Yu
13 papers · 2015–2025 · 9 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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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🌈
Renaissance Researcher
(5)
❓
The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(67)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Core AI
(6)
Deep Learning
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory
(4)
Computer Vision
(3)
Analysis
(3)
Architectures
(3)
Core Methods
(2)
Domain-Specific
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Keywords
object detection
(2)
large language model
(2)
egocentric video
(2)
object recognition
(2)
convolutional neural network
(2)
distributed learning
(2)
semantic segmentation
(1)
stochastic gradient descent
(1)
transformer architecture
(1)
autoregressive transformer
(1)
few-shot learning
(1)
model calibration
(1)
catastrophic forgetting
(1)
attention mechanism
(1)
sample complexity
(1)
adversarial robustness
(1)
convergence analysis
(1)
semantic parsing
(1)
incremental learning
(1)
feature learning
(1)
Papers
How do autoregressive transformers solve full addition?
EMNLP 2025
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
COLING 2024
SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
NAACL 2024
Sequence-to-sequence AMR Parsing with Ancestor Information
ACL 2022
A Self Validation Network for Object-Level Human Attention Estimation
NeurIPS 2019
AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
AISTATS 2019
Distributed Learning over Unreliable Networks
ICML 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression
ICML 2019
Incremental Object Learning From Contiguous Views
CVPR 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework
NeurIPS 2019
Toddler-Inspired Visual Object Learning
NeurIPS 2018
Iterative Machine Teaching
ICML 2017
Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions
ICCV 2015