Simiao Zuo
21 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (11)
π
Conference Polyglot
(9)
π
Academic Marathon
(5)
π
Renaissance Researcher
(8)
π€
Dynamic Duo
(18)
π
Keyword Champion
(4)
π
Century Club
(21)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(84)
π₯
Unstoppable
(6)
Conferences
ICML (5)
ICLR (4)
EMNLP (3)
NAACL (3)
ACL (2)
COLING (1)
IJCNLP (1)
L4DC (1)
NIPS (1)
Top co-authors
Research topics
Keywords
adversarial regularization
(4)
model compression
(4)
stackelberg game
(3)
pre-trained language model
(3)
natural language understanding
(2)
knowledge distillation
(2)
event sequence
(2)
language model
(2)
lottery ticket hypothesis
(2)
uncertainty quantification
(2)
deep learning
(2)
score matching
(2)
neural machine translation
(1)
question answering
(1)
semi-supervised learning
(1)
data augmentation
(1)
sample efficiency
(1)
neural network pruning
(1)
weak supervision
(1)
domain adaptation
(1)
Papers
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning
COLING 2025
Task Oriented In-Domain Data Augmentation
EMNLP 2024
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
ICLR 2024
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
NIPS 2023
Context-Aware Query Rewriting for Improving Usersβ Search Experience on E-commerce Websites
ACL 2023
Machine Learning Force Fields with Data Cost Aware Training
ICML 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
ICML 2023
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
ICML 2023
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
ICLR 2022
Taming Sparsely Activated Transformer with Stochastic Experts
ICLR 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
ICML 2022
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation
NAACL 2022
Self-Training with Differentiable Teacher
NAACL 2022
Adversarially Regularized Policy Learning Guided by Trajectory Optimization
L4DC 2022
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
ACL 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach
EMNLP 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
IJCNLP 2021
ARCH: Efficient Adversarial Regularized Training with Caching
EMNLP 2021
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
NAACL 2021
A Hypergradient Approach to Robust Regression without Correspondence
ICLR 2021
Transformer Hawkes Process
ICML 2020