← Authors

Ming Gao

38 papers · 2020–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (5) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (17) ⚑ Prolific Year (10) πŸ—ƒοΈ Keyword Collector (166) πŸ”₯ Unstoppable (6) πŸ’Ž 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

Xiang Li (17) Jianing Wang (14) Chengyu Wang (9) Qiushi Sun (9) Minghui Qiu (8) Nuo Chen (8) Jun Huang (8) Renyu Zhu (6) Chengcheng Han (6) Bryon Aragam (5)

Research topics

Education (1)

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