Ming Gao

Net-P4ct: Enhanced WAN Bandwidth Fair Sharing Using P4 Programmable Switches NSDI 2026 PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization NAACL 2025 The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition Interspeech 2025 Boosting Language Models Reasoning with Chain-of-Knowledge Prompting ACL 2024 CDSD: Chinese Dysarthria Speech Database Interspeech 2024 Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition COLING 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design Interspeech 2024 InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment ACL 2024 Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024 Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024 Model AI Assignments 2024 AAAI 2024 Optimal estimation of Gaussian (poly)trees AISTATS 2024 Structure-aware Fine-tuning for Code Pre-trained Models COLING 2024 TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills COLING 2024 Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport AAAI 2024 DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates ICCV 2023 DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning NeurIPS 2023 DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models EMNLP 2023 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023 FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph ACL 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023 Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning EMNLP 2023 Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023 Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling AAAI 2023 When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario ACL 2023 A Neural Network Architecture for Program Understanding Inspired by Human Behaviors ACL 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 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 Optimal estimation of Gaussian DAG models AISTATS 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 Efficient Bayesian network structure learning via local Markov boundary search NeurIPS 2021 Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification ACL 2021 Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families NeurIPS 2021 TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification EMNLP 2021 A polynomial-time algorithm for learning nonparametric causal graphs NeurIPS 2020