Enmao Diao
11 papers · 2021–2026 · 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 (19)
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Topic Evolution
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Unstoppable · Bronze
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Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Optimization & Theory · Machine Learning
(6)
Core AI
(5)
Deep Learning
(4)
Learning Paradigms · Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Learning Paradigms · Machine Learning
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Natural Language Processing
(1)
Speech & Audio
(1)
Architectures
(1)
Keywords
federated learning
(3)
model compression
(3)
structured pruning
(2)
fisher divergence
(2)
vector quantization
(1)
change detection
(1)
semi-supervised learning
(1)
decentralized optimization
(1)
lottery ticket hypothesis
(1)
distributed optimization
(1)
network pruning
(1)
communication efficiency
(1)
primal-dual method
(1)
unnormalized model
(1)
parameter efficiency
(1)
inference efficiency
(1)
latency reduction
(1)
knowledge distillation
(1)
quickest change detection
(1)
neural network pruning
(1)
Papers
From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models
ACL 2026
AID: Adaptive Integration of Detectors for Safe AI with Language Models
NAACL 2025
MAP: Multi-Human-Value Alignment Palette
ICLR 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
ICLR 2025
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
EMNLP 2024
Pruning Deep Neural Networks from a Sparsity Perspective
ICLR 2023
Robust Quickest Change Detection for Unnormalized Models
UAI 2023
Score-based Quickest Change Detection for Unnormalized Models
AISTATS 2023
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
NeurIPS 2022
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
NeurIPS 2022
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
ICLR 2021