Adaptive Coding of Non-Negative Factorization Parameters with Application to Informed Source Separation. - Max Bläser; Christian Rohlfing; Yingbo Gao; Mathias Wien (ICASSP, 2018)

Improving Neural Language Models with Weight Norm Initialization and Regularization. - Christian Herold; Yingbo Gao; Hermann Ney (WMT, 2018)

Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies. - Yunsu Kim 001; Yingbo Gao; Hermann Ney (ACL (1), 2019)

uniblock: Scoring and Filtering Corpus with Unicode Block Information. - Yingbo Gao; Weiyue Wang 001; Hermann Ney (EMNLP/IJCNLP (1), 2019)

Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification. - Yingbo Gao; Christian Herold; Weiyue Wang 001; Hermann Ney (IWSLT, 2019)

The RWTH Aachen University Machine Translation Systems for WMT 2019. - Jan Rosendahl; Christian Herold; Yunsu Kim 001; Miguel Graça; Weiyue Wang 001; Parnia Bahar; Yingbo Gao; Hermann Ney (WMT (2), 2019)

Unifying Input and Output Smoothing in Neural Machine Translation. - Yingbo Gao; Baohao Liao; Hermann Ney (COLING, 2020)

Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation. - Baohao Liao; Yingbo Gao; Hermann Ney (EMNLP (Findings), 2020)

Towards a Better Understanding of Label Smoothing in Neural Machine Translation. - Yingbo Gao; Weiyue Wang 001; Christian Herold; Zijian Yang; Hermann Ney (AACL/IJCNLP, 2020)

Predicting and Using Target Length in Neural Machine Translation. - Zijian Yang; Yingbo Gao; Weiyue Wang 001; Hermann Ney (AACL/IJCNLP, 2020)

Investigation of Large-Margin Softmax in Neural Language Modeling. - Jingjing Huo; Yingbo Gao; Weiyue Wang 001; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2020)

Diving Deep into Context-Aware Neural Machine Translation. - Jingjing Huo; Christian Herold; Yingbo Gao; Leonard Dahlmann; Shahram Khadivi; Hermann Ney (WMT@EMNLP, 2020)

Transformer-Based Direct Hidden Markov Model for Machine Translation. - Weiyue Wang 001; Zijian Yang; Yingbo Gao; Hermann Ney (ACL (student), 2021)

On Sampling-Based Training Criteria for Neural Language Modeling. - Yingbo Gao; David Thulke; Alexander Gerstenberger; Khoa Viet Tran; Ralf Schlüter; Hermann Ney (Interspeech, 2021)

Does Joint Training Really Help Cascaded Speech Translation? - Viet Anh Khoa Tran; David Thulke; Yingbo Gao; Christian Herold; Hermann Ney (EMNLP, 2022)

Is Encoder-Decoder Redundant for Neural Machine Translation? - Yingbo Gao; Christian Herold; Zijian Yang; Hermann Ney (AACL/IJCNLP (1), 2022)

Revisiting Checkpoint Averaging for Neural Machine Translation. - Yingbo Gao; Christian Herold; Zijian Yang; Hermann Ney (AACL/IJCNLP (Findings), 2022)

Self-Normalized Importance Sampling for Neural Language Modeling. - Zijian Yang; Yingbo Gao; Alexander Gerstenberger; Jintao Jiang; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2022)

Improving Language Model Integration for Neural Machine Translation. - Christian Herold; Yingbo Gao; Mohammad Zeineldeen; Hermann Ney (ACL (Findings), 2023)

Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR. - Jintao Jiang; Yingbo Gao; Zoltán Tüske (CoRR, 2023)

Prompting and Fine-Tuning of Small LLMs for Length-Controllable Telephone Call Summarization. - David Thulke; Yingbo Gao; Rricha Jalota; Christian Dugast; Hermann Ney (FLLM, 2024)

ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change. - David Thulke; Yingbo Gao; Petrus Pelser; Rein Brune; Rricha Jalota; Floris Fok; Michael Ramos; Ian van Wyk; Abdallah Nasir; Hayden Goldstein; Taylor Tragemann; Katie Nguyen; et al. (CoRR, 2024)

Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR. - Jintao Jiang; Yingbo Gao; Mohammad Zeineldeen; Zoltán Tüske (CoRR, 2024)