Jiawei Sheng
15 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (46) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(14)
🗃️
Keyword Collector
(92)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(6)
Natural Language Processing
(6)
Learning Types
(6)
Application Areas
(5)
Core Methods
(4)
Applications
(3)
Architectures
(3)
Optimization & Theory · Deep Learning
(3)
Knowledge & Reasoning
(2)
Optimization & Theory · Machine Learning
(2)
Resources & Methods
(2)
Understanding
(2)
Keywords
optimal transport
(3)
knowledge graph completion
(2)
large language model
(2)
attention mechanism
(2)
knowledge distillation
(2)
semi-supervised learning
(1)
benchmark evaluation
(1)
transformer architecture
(1)
text classification
(1)
transfer learning
(1)
link prediction
(1)
mathematical reasoning
(1)
direct preference optimization
(1)
variational inference
(1)
knowledge editing
(1)
few-shot learning
(1)
chain-of-thought reasoning
(1)
named entity recognition
(1)
preference optimization
(1)
representation learning
(1)
Papers
Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation
AAAI 2026
HyperMem: Hypergraph Memory for Long-Term Conversations
ACL 2026
Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion
AAAI 2026
Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification
EMNLP 2025
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
CVPR 2025
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
ICML 2025
Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information
EMNLP 2025
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking
ACL 2025
Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer
ICML 2025
Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing
EMNLP 2025
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking
ACL 2024
Event Causality Extraction with Event Argument Correlations
COLING 2022
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
ACL 2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
EMNLP 2021
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
EMNLP 2020