Junyuan Shang
12 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34)
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Trend Setter
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Century Club · Bronze
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Conference Pioneer
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Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(9)
Architectures
(8)
Application Areas
(6)
Artificial Intelligence
(5)
Core AI
(4)
Optimization & Theory · Machine Learning
(4)
Healthcare & Medicine
(3)
Natural Language Processing
(3)
Clinical
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Resources & Methods
(3)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Keywords
model compression
(3)
electronic health record
(3)
large language model
(3)
knowledge graph
(2)
transformer architecture
(2)
kv cache
(2)
knowledge distillation
(2)
language model
(2)
pre-trained language model
(2)
neural network
(2)
medication recommendation
(2)
neural network optimization
(1)
attention mechanism
(1)
efficient computing
(1)
transformer
(1)
document understanding
(1)
uncertainty quantification
(1)
language modeling
(1)
document modeling
(1)
question answering
(1)
Papers
Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics
ACL 2026
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
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
NeurIPS 2024
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion
ACL 2024
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time
ACL 2024
X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications
SemEval 2022
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer
ACL 2021
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
AAAI 2019
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
IJCAI 2019
Pre-training of Graph Augmented Transformers for Medication Recommendation
IJCAI 2019
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction
ACML 2018