Zhou, Ming

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Software Engineering ResearchTopic Modeling

Cited by 2,824

Unified Language Model Pre-training for Natural Language Understanding and Generation

Dong, L., Yang, N., Wang, W., Wei, F., Liu, X., Wang, Y., Gao, J., Zhou, M., & Hon, H.-W. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,225

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

Tang, D., Wei, F., Yang, N., Zhou, M., Liu, T., & Qin, B. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 1,181

MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Wang, W., Wei, F., Dong, L., Bao, H., Yang, N., & Zhou, M. (2020) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 703

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Guo, D., Lu, S., Duan, N., Wang, Y., Zhou, M., & Yin, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchTopic Modeling

Cited by 673

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C., Drain, D., Jiang, D., Tang, D., et al. (2021) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 536

GraphCodeBERT: Pre-training Code Representations with Data Flow

Guo, D., Ren, S., Lu, S., Feng, Z., Tang, D., Liu, S., Zhou, L., Duan, N., Svyatkovskiy, A., Fu, S., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 480

A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models

Zhang, H., Song, H., Li, S., Zhou, M., & Song, D. (2024) · ACM Computing Surveys

Topic ModelingNatural Language Processing Techniques

Cited by 317

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 243

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Ren, S., Guo, D., Lu, S., Zhou, L., Liu, S., Tang, D., Sundaresan, N., Zhou, M., Blanco, A., & Ma, S. (2020) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 214

Learning to Generate Product Reviews from Attributes

Dong, L., Huang, S., Wei, F., Lapata, M., Zhou, M., & Xu, K. (2017) · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 190

Reasoning Over Semantic-Level Graph for Fact Checking

Zhong, W., Xu, J., Tang, D., Xu, Z., Duan, N., Zhou, M., Wang, J., & Yin, J. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Misinformation and Its ImpactsTopic Modeling

Cited by 151

MuTual: A Dataset for Multi-Turn Dialogue Reasoning

Cui, L., Wu, Y., Liu, S., Zhang, Y., & Zhou, M. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 110

XGPT: Cross-modal Generative Pre-Training for Image Captioning

Xia, Q., Huang, H., Duan, N., Zhang, D., Ji, L., Sui, Z., Cui, E., Bharti, T., & Zhou, M. (2021) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 70

Named entity recognition for tweets

Liu, X., Wei, F., Zhang, S., & Zhou, M. (2013) · ACM Transactions on Intelligent Systems and Technology

Topic ModelingNatural Language Processing Techniques

Cited by 61

Logiqa 2.0—An improved dataset for logical reasoning in natural language understanding

Liu, H., Liu, J., Cui, L., Teng, Z., Duan, N., Zhou, M., & Zhang, Y. (2023) · IEEE/ACM Transactions on Audio Speech and Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 26

Question Generation With Doubly Adversarial Nets

Bao, J., Gong, Y., Duan, N., Zhou, M., & Zhao, T. (2018) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 14