Michael Zeng

According to our database, Michael Zeng authored at least 87 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like.

Naoyuki Kanda, Xiaofei Wang, Sefik Emre Eskimez, Manthan Thakker, Hemin Yang, Zirun Zhu, Min Tang, Canrun Li, Chung-Hsien Tsai, Zhen Xiao, Yufei Xia, Jinzhu Li, Yanqing Liu, Sheng Zhao, Michael Zeng

CoRR, 2024

2023

Improving Readability for Automatic Speech Recognition Transcription.

Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks.

Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan

CoRR, 2023

Diffusion Conditional Expectation Model for Efficient and Robust Target Speech Extraction.

Leying Zhang, Yao Qian, Linfeng Yu, Heming Wang, Xinkai Wang, Hemin Yang, Long Zhou, Shujie Liu, Yanmin Qian, Michael Zeng

CoRR, 2023

Adapting Multi-Lingual ASR Models for Handling Multiple Talkers.

Chenda Li, Yao Qian, Zhuo Chen, Naoyuki Kanda, Dongmei Wang, Takuya Yoshioka, Yanmin Qian, Michael Zeng

CoRR, 2023

ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation.

Chenyang Le, Yao Qian, Long Zhou, Shujie Liu, Michael Zeng, Xuedong Huang

CoRR, 2023

i-Code Studio: A Configurable and Composable Framework for Integrative AI.

Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang

CoRR, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng

CoRR, 2023

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data.

Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

CoRR, 2023

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang

CoRR, 2023

Any-to-Any Generation via Composable Diffusion.

Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation.

Chenyang Le, Yao Qian, Long Zhou, Shujie Liu, Yanmin Qian, Michael Zeng, Xuedong Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generate rather than Retrieve: Large Language Models are Strong Context Generators.

Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Code-Switching Text Generation and Injection in Mandarin-English ASR.

Haibin Yu, Yuxuan Hu, Yao Qian, Ma Jin, Linquan Liu, Shujie Liu, Yu Shi, Yanmin Qian, Edward Lin, Michael Zeng

Proceedings of the IEEE International Conference on Acoustics, 2023

DATA2VEC-SG: Improving Self-Supervised Learning Representations for Speech Generation Tasks.

Heming Wang, Yao Qian, Hemin Yang, Nauyuki Kanda, Peidong Wang, Takuya Yoshioka, Xiaofei Wang, Yiming Wang, Shujie Liu, Zhuo Chen, DeLiang Wang, Michael Zeng

Proceedings of the IEEE International Conference on Acoustics, 2023

Target Sound Extraction with Variable Cross-Modality Clues.

Chenda Li, Yao Qian, Zhuo Chen, Dongmei Wang, Takuya Yoshioka, Shujie Liu, Yanmin Qian, Michael Zeng

Proceedings of the IEEE International Conference on Acoustics, 2023

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT.

Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Automatic Prompt Optimization with "Gradient Descent" and Beam Search.

Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ReCo: Region-Controlled Text-to-Image Generation.

Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unifying Vision, Text, and Layout for Universal Document Processing.

Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization.

Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

i-Code: An Integrative and Composable Multimodal Learning Framework.

Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing.

Sanyuan Chen, Chengyi Wang, Zhengyang Chen, Yu Wu, Shujie Liu, Zhuo Chen, Jinyu Li, Naoyuki Kanda, Takuya Yoshioka, Xiong Xiao, Jian Wu, Long Zhou, Shuo Ren, Yanmin Qian, Yao Qian, Jian Wu, Michael Zeng, Xiangzhan Yu, Furu Wei

IEEE J. Sel. Top. Signal Process., 2022

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning.

Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang

CoRR, 2022

MACSum: Controllable Summarization with Mixed Attributes.

Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang

CoRR, 2022

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang

CoRR, 2022

Impossible Triangle: What's Next for Pre-trained Language Models?

Chenguang Zhu, Michael Zeng

CoRR, 2022

Unsupervised Summarization with Customized Granularities.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

CoRR, 2022

A Comprehensive Study on Self-Supervised Distillation for Speaker Representation Learning.

Zhengyang Chen, Yao Qian, Bing Han, Yanmin Qian, Michael Zeng

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning.

Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention.

Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Optimizing Alignment of Speech and Language Latent Spaces for End-To-End Speech Recognition and Understanding.

Wei Wang, Shuo Ren, Yao Qian, Shujie Liu, Yu Shi, Yanmin Qian, Michael Zeng

Proceedings of the IEEE International Conference on Acoustics, 2022

Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification.

Zhengyang Chen, Sanyuan Chen, Yu Wu, Yao Qian, Chengyi Wang, Shujie Liu, Yanmin Qian, Michael Zeng

Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised Multi-Granularity Summarization.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Narrate Dialogues for Better Summarization.

Ruochen Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation.

Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Automatic Rule Induction for Efficient Semi-Supervised Learning.

Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Task Compass: Scaling Multi-task Pre-training with Task Prefix.

Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

AdaPrompt: Adaptive Model Training for Prompt-based NLP.

Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CLIP-Event: Connecting Text and Images with Event Structures.

Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Empirical Study of Training End-to-End Vision-and-Language Transformers.

Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.

Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data.

Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

End-to-End Segmentation-based News Summarization.

Yang Liu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Leveraging Knowledge in Multilingual Commonsense Reasoning.

Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Dict-BERT: Enhancing Language Model Pre-training with Dictionary.

Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.

Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

JAKET: Joint Pre-training of Knowledge Graph and Language Understanding.

Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

MLP Architectures for Vision-and-Language Modeling: An Empirical Study.

Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang

CoRR, 2021

Florence: A New Foundation Model for Computer Vision.

Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang

CoRR, 2021

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing.

Sanyuan Chen, Chengyi Wang, Zhengyang Chen, Yu Wu, Shujie Liu, Zhuo Chen, Jinyu Li, Naoyuki Kanda, Takuya Yoshioka, Xiong Xiao, Jian Wu, Long Zhou, Shuo Ren, Yanmin Qian, Yao Qian, Jian Wu, Michael Zeng, Furu Wei

CoRR, 2021

Does Knowledge Help General NLU? An Empirical Study.

Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng

CoRR, 2021

A Joint and Domain-Adaptive Approach to Spoken Language Understanding.

Linhao Zhang, Yu Shi, Linjun Shou, Ming Gong, Houfeng Wang, Michael Zeng

CoRR, 2021

Leveraging Lead Bias for Zero-shot Abstractive News Summarization.

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization.

Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Enhancing Factual Consistency of Abstractive Summarization.

Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding.

Yu-An Chung, Chenguang Zhu, Michael Zeng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Data Augmentation for Spoken Language Understanding via Pretrained Language Models.

Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders.

Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng

Proceedings of the International Joint Conference on Neural Networks, 2021

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data.

Chengyi Wang, Yu Wu, Yao Qian, Ken'ichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang

Proceedings of the 38th International Conference on Machine Learning, 2021

Speech-Language Pre-Training for End-to-End Spoken Language Understanding.

Yao Qian, Ximo Bian, Yu Shi, Naoyuki Kanda, Leo Shen, Zhen Xiao, Michael Zeng

Proceedings of the IEEE International Conference on Acoustics, 2021

Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model.

Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng

Proceedings of the IEEE International Conference on Acoustics, 2021

Want To Reduce Labeling Cost? GPT-3 Can Help.

Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Fusing Context Into Knowledge Graph for Commonsense Question Answering.

Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Retrieval Enhanced Model for Commonsense Generation.

Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Fusing Context Into Knowledge Graph for Commonsense Reasoning.

Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang

CoRR, 2020

LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition.

Xie Chen, Sarangarajan Parthasarathy, William Gale, Shuangyu Chang, Michael Zeng

CoRR, 2020

Semi-Supervised Speech-Language Joint Pre-Training for Spoken Language Understanding.

Yu-An Chung, Chenguang Zhu, Michael Zeng

CoRR, 2020

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization.

Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang

CoRR, 2020

Meta Dialogue Policy Learning.

Yumo Xu, Chenguang Zhu, Baolin Peng, Michael Zeng

CoRR, 2020

Data Augmentation for Spoken Language Understanding via Pretrained Models.

Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao

CoRR, 2020

End-to-End Abstractive Summarization for Meetings.

Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang

CoRR, 2020

Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph.

Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang

CoRR, 2020

Discriminative Transfer Learning for Optimizing ASR and Semantic Labeling in Task-Oriented Spoken Dialog.

Yao Qian, Yu Shi, Michael Zeng

Proceedings of the Interspeech 2020, 2020

Sequence-Level Self-Learning with Multiple Hypotheses.

Ken'ichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

Proceedings of the Interspeech 2020, 2020

Mixed-Lingual Pre-training for Cross-lingual Summarization.

Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining.

Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising.

Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Few-shot Natural Language Generation for Task-Oriented Dialog.

Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization.

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

CoRR, 2019

Meeting Transcription Using Virtual Microphone Arrays.

Takuya Yoshioka, Zhuo Chen, Dimitrios Dimitriadis, William Hinthorn, Xuedong Huang, Andreas Stolcke, Michael Zeng

CoRR, 2019

SIM: A Slot-Independent Neural Model for Dialogue State Tracking.

Chenguang Zhu, Michael Zeng, Xuedong Huang

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Meeting Transcription Using Asynchronous Distant Microphones.

Takuya Yoshioka, Dimitrios Dimitriadis, Andreas Stolcke, William Hinthorn, Zhuo Chen, Michael Zeng, Xuedong Huang

Proceedings of the Interspeech 2019, 2019

Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue.

Chenguang Zhu, Michael Zeng, Xuedong Huang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering.

Chenguang Zhu, Michael Zeng, Xuedong Huang

CoRR, 2018