Yi Cao
7 papers · 2023–2026 · 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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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Architectures
(1)
Core Methods
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
large language model
(2)
contrastive learning
(2)
reinforcement learning
(1)
continual learning
(1)
image generation
(1)
online learning
(1)
text classification
(1)
self-supervised learning
(1)
data augmentation
(1)
topic modeling
(1)
code generation
(1)
variational autoencoder
(1)
inference efficiency
(1)
task decomposition
(1)
graph convolutional network
(1)
neural topic model
(1)
parameter reduction
(1)
knowledge retrieval
(1)
cycle adversarial training
(1)
topic-word distribution
(1)
Papers
TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models
AAAI 2026
UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision
ACL 2026
PIP: Perturbation-based Iterative Pruning for Large Language Models
EMNLP 2025
EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario
COLING 2024
SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images
ECCV 2024
Continual Graph Convolutional Network for Text Classification
AAAI 2023
Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning
ACL 2023