Yu He
10 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (15) π Academic Marathon (7) π Renaissance Researcher (6) π Interdisciplinary Bridge
π
Conference Polyglot
(7)
πΊοΈ
Taxonomy Completionist
(28)
π§
Keyword Pioneer
π
Trend Setter
β
The Questioner
Conferences
ACL (3)
NAACL (2)
CVPR (1)
EMNLP (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(3)
sentiment analysis
(1)
affective computing
(1)
data augmentation
(1)
multimodal learning
(1)
emotion recognition
(1)
depth estimation
(1)
3d vision
(1)
multi-modal learning
(1)
scene reconstruction
(1)
responsible ai
(1)
semantic representation
(1)
graph structure
(1)
synthetic data generation
(1)
text classification
(1)
knowledge graph
(1)
deep neural network
(1)
language model
(1)
synthetic datum
(1)
multi-task learning
(1)
Papers
Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Framework
ACL 2026
Are LLMs Rational Investors? A Study on the Financial Bias in LLMs
ACL 2025
Primal-Dual Neural Algorithmic Reasoning
ICML 2025
Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining
ACL 2025
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
NAACL 2025
R3-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
EMNLP 2024
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
ICLR 2024
NeRFReN: Neural Radiance Fields With Reflections
CVPR 2022
Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding
NAACL 2022
Time-evolving Text Classification with Deep Neural Networks
IJCAI 2018