Ming Gao
38 papers · 2020–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (11)
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Academic Marathon
(5)
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Cross-Pollinator
(7)
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Renaissance Researcher
(5)
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Keyword Champion
(2)
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Dynamic Duo
(17)
β‘
Prolific Year
(10)
ποΈ
Keyword Collector
(166)
π₯
Unstoppable
(6)
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Century Club
(38)
Conferences
EMNLP (11)
ACL (6)
NIPS (5)
COLING (4)
AAAI (3)
AISTATS (2)
INTERSPEECH (2)
NAACL (2)
CVPR (1)
ICCV (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
few-shot learning
(7)
structure learning
(5)
transfer learning
(5)
large language model
(5)
code pre-trained model
(4)
abstract syntax tree
(4)
directed acyclic graph
(4)
graphical model
(4)
named entity recognition
(3)
text classification
(3)
prompt engineering
(3)
knowledge distillation
(3)
prompt tuning
(3)
graph neural network
(3)
gradient descent
(2)
instruction tuning
(2)
derivative-free optimization
(2)
contrastive learning
(2)
knowledge base
(2)
knowledge graph
(2)
Papers
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
NAACL 2025
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
COLING 2024
Cross-model Control: Improving Multiple Large Language Models in One-time Training
NIPS 2024
Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport
AAAI 2024
Model AI Assignments 2024
AAAI 2024
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting
ACL 2024
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
ACL 2024
Optimal estimation of Gaussian (poly)trees
AISTATS 2024
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition
COLING 2024
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives
COLING 2024
Structure-aware Fine-tuning for Code Pre-trained Models
COLING 2024
Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design
INTERSPEECH 2024
CDSD: Chinese Dysarthria Speech Database
INTERSPEECH 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
NAACL 2024
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
EMNLP 2023
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning
EMNLP 2023
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models
EMNLP 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
NIPS 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario
ACL 2023
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling
AAAI 2023
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting
CVPR 2023
FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph
ACL 2023
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation
EMNLP 2023
DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates
ICCV 2023
Optimal estimation of Gaussian DAG models
AISTATS 2022
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering
EMNLP 2022
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding
EMNLP 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
EMNLP 2022
Towards Unified Prompt Tuning for Few-shot Text Classification
EMNLP 2022
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge
EMNLP 2022
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure
EMNLP 2022
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors
ACL 2022
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
ACL 2021
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
IJCNLP 2021
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification
EMNLP 2021
Efficient Bayesian network structure learning via local Markov boundary search
NIPS 2021
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
NIPS 2021
A polynomial-time algorithm for learning nonparametric causal graphs
NIPS 2020