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Michael Zeng 0001
Person information
- affiliation: Microsoft, Redmond, WA, USA
Other persons with the same name
- Michael Zeng 0002 (aka: Michael Rath 0003) — RWTH Aachen University, Germany (and 1 more)
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2020 – today
- 2024
- [c59]Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan:
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks. CVPR 2024: 4818-4829 - [c58]Shaoshi Ling, Yuxuan Hu, Shuangbei Qian, Guoli Ye, Yao Qian, Yifan Gong, Ed Lin, Michael Zeng:
Adapting Large Language Model with Speech for Fully Formatted End-to-End Speech Recognition. ICASSP 2024: 11046-11050 - [c57]Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Xuemei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang:
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. NAACL-HLT (Findings) 2024: 1615-1627 - [i72]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:
Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like. CoRR abs/2402.07383 (2024) - [i71]Leying Zhang, Yao Qian, Long Zhou, Shujie Liu, Dongmei Wang, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Lei He, Sheng Zhao, Michael Zeng:
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations. CoRR abs/2404.06690 (2024) - [i70]Chenyang Le, Yao Qian, Dongmei Wang, Long Zhou, Shujie Liu, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Sheng Zhao, Michael Zeng:
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation. CoRR abs/2405.17809 (2024) - [i69]Jiaqi Li, Dongmei Wang, Xiaofei Wang, Yao Qian, Long Zhou, Shujie Liu, Midia Yousefi, Canrun Li, Chung-Hsien Tsai, Zhen Xiao, Yanqing Liu, Junkun Chen, Sheng Zhao, Jinyu Li, Zhizheng Wu, Michael Zeng:
Investigating Neural Audio Codecs for Speech Language Model-Based Speech Generation. CoRR abs/2409.04016 (2024) - 2023
- [j3]Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang:
MACSum: Controllable Summarization with Mixed Attributes. Trans. Assoc. Comput. Linguistics 11: 787-803 (2023) - [j2]Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Readability for Automatic Speech Recognition Transcription. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 142:1-142:23 (2023) - [c56]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:
i-Code: An Integrative and Composable Multimodal Learning Framework. AAAI 2023: 10880-10890 - [c55]Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang:
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. ACL (1) 2023: 5095-5112 - [c54]Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang:
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. ACL (1) 2023: 12833-12855 - [c53]Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang:
ReCo: Region-Controlled Text-to-Image Generation. CVPR 2023: 14246-14255 - [c52]Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal:
Unifying Vision, Text, and Layout for Universal Document Processing. CVPR 2023: 19254-19264 - [c51]Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng:
Automatic Prompt Optimization with "Gradient Descent" and Beam Search. EMNLP 2023: 7957-7968 - [c50]Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng:
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. EMNLP (Findings) 2023: 13879-13892 - [c49]Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng:
LMGQS: A Large-scale Dataset for Query-focused Summarization. EMNLP (Findings) 2023: 14764-14776 - [c48]Chenda Li, Yao Qian, Zhuo Chen, Dongmei Wang, Takuya Yoshioka, Shujie Liu, Yanmin Qian, Michael Zeng:
Target Sound Extraction with Variable Cross-Modality Clues. ICASSP 2023: 1-5 - [c47]Heming Wang, Yao Qian, Hemin Yang, Nauyuki Kanda, Peidong Wang, Takuya Yoshioka, Xiaofei Wang, Yiming Wang, Shujie Liu, Zhuo Chen, DeLiang Wang, Michael Zeng:
DATA2VEC-SG: Improving Self-Supervised Learning Representations for Speech Generation Tasks. ICASSP 2023: 1-5 - [c46]Haibin Yu, Yuxuan Hu, Yao Qian, Ma Jin, Linquan Liu, Shujie Liu, Yu Shi, Yanmin Qian, Edward Lin, Michael Zeng:
Code-Switching Text Generation and Injection in Mandarin-English ASR. ICASSP 2023: 1-5 - [c45]Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang:
Generate rather than Retrieve: Large Language Models are Strong Context Generators. ICLR 2023 - [c44]Chenda Li, Yao Qian, Zhuo Chen, Naoyuki Kanda, Dongmei Wang, Takuya Yoshioka, Yanmin Qian, Michael Zeng:
Adapting Multi-Lingual ASR Models for Handling Multiple Talkers. INTERSPEECH 2023: 1314-1318 - [c43]Chenyang Le, Yao Qian, Long Zhou, Shujie Liu, Yanmin Qian, Michael Zeng, Xuedong Huang:
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation. NeurIPS 2023 - [c42]Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal:
Any-to-Any Generation via Composable Diffusion. NeurIPS 2023 - [i68]Chenda Li, Yao Qian, Zhuo Chen, Dongmei Wang, Takuya Yoshioka, Shujie Liu, Yanmin Qian, Michael Zeng:
Target Sound Extraction with Variable Cross-modality Clues. CoRR abs/2303.08372 (2023) - [i67]Haibin Yu, Yuxuan Hu, Yao Qian, Ma Jin, Linquan Liu, Shujie Liu, Yu Shi, Yanmin Qian, Edward Lin, Michael Zeng:
Code-Switching Text Generation and Injection in Mandarin-English ASR. CoRR abs/2303.10949 (2023) - [i66]Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang:
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action. CoRR abs/2303.11381 (2023) - [i65]Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng:
Automatic Prompt Optimization with "Gradient Descent" and Beam Search. CoRR abs/2305.03495 (2023) - [i64]Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal:
Any-to-Any Generation via Composable Diffusion. CoRR abs/2305.11846 (2023) - [i63]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:
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. CoRR abs/2305.12311 (2023) - [i62]Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng:
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. CoRR abs/2305.13083 (2023) - [i61]Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng:
LMGQS: A Large-scale Dataset for Query-focused Summarization. CoRR abs/2305.13086 (2023) - [i60]Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang:
i-Code Studio: A Configurable and Composable Framework for Integrative AI. CoRR abs/2305.13738 (2023) - [i59]Chenyang Le, Yao Qian, Long Zhou, Shujie Liu, Michael Zeng, Xuedong Huang:
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation. CoRR abs/2305.14838 (2023) - [i58]Chenda Li, Yao Qian, Zhuo Chen, Naoyuki Kanda, Dongmei Wang, Takuya Yoshioka, Yanmin Qian, Michael Zeng:
Adapting Multi-Lingual ASR Models for Handling Multiple Talkers. CoRR abs/2305.18747 (2023) - [i57]Leying Zhang, Yao Qian, Linfeng Yu, Heming Wang, Xinkai Wang, Hemin Yang, Long Zhou, Shujie Liu, Yanmin Qian, Michael Zeng:
Diffusion Conditional Expectation Model for Efficient and Robust Target Speech Extraction. CoRR abs/2309.13874 (2023) - [i56]Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan:
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks. CoRR abs/2311.06242 (2023) - 2022
- [j1]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:
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing. IEEE J. Sel. Top. Signal Process. 16(6): 1505-1518 (2022) - [c41]Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng:
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. AAAI 2022: 11630-11638 - [c40]Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. AAAI 2022: 11765-11773 - [c39]Yang Liu, Chenguang Zhu, Michael Zeng:
End-to-End Segmentation-based News Summarization. ACL (Findings) 2022: 544-554 - [c38]Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang:
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. ACL (Findings) 2022: 1907-1918 - [c37]Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng:
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. ACL (1) 2022: 3170-3179 - [c36]Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng:
Leveraging Knowledge in Multilingual Commonsense Reasoning. ACL (Findings) 2022: 3237-3246 - [c35]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) 2022: 4961-4974 - [c34]Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang:
CLIP-Event: Connecting Text and Images with Event Structures. CVPR 2022: 16399-16408 - [c33]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:
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CVPR 2022: 18145-18155 - [c32]Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng:
Automatic Rule Induction for Efficient Semi-Supervised Learning. EMNLP (Findings) 2022: 28-44 - [c31]Ruochen Xu, Chenguang Zhu, Michael Zeng:
Narrate Dialogues for Better Summarization. EMNLP (Findings) 2022: 3565-3575 - [c30]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Multi-Granularity Summarization. EMNLP (Findings) 2022: 4980-4995 - [c29]Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng:
Task Compass: Scaling Multi-task Pre-training with Task Prefix. EMNLP (Findings) 2022: 5671-5685 - [c28]Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
AdaPrompt: Adaptive Model Training for Prompt-based NLP. EMNLP (Findings) 2022: 6057-6068 - [c27]Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng:
ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. EMNLP 2022: 7111-7122 - [c26]Zhengyang Chen, Sanyuan Chen, Yu Wu, Yao Qian, Chengyi Wang, Shujie Liu, Yanmin Qian, Michael Zeng:
Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification. ICASSP 2022: 6147-6151 - [c25]Wei Wang, Shuo Ren, Yao Qian, Shujie Liu, Yu Shi, Yanmin Qian, Michael Zeng:
Optimizing Alignment of Speech and Language Latent Spaces for End-To-End Speech Recognition and Understanding. ICASSP 2022: 7802-7806 - [c24]Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. IJCAI 2022: 2762-2768 - [c23]Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng:
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning. NeurIPS 2022 - [c22]Zhengyang Chen, Yao Qian, Bing Han, Yanmin Qian, Michael Zeng:
A Comprehensive Study on Self-Supervised Distillation for Speaker Representation Learning. SLT 2022: 599-604 - [i55]Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang:
CLIP-Event: Connecting Text and Images with Event Structures. CoRR abs/2201.05078 (2022) - [i54]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Summarization with Customized Granularities. CoRR abs/2201.12502 (2022) - [i53]Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
AdaPrompt: Adaptive Model Training for Prompt-based NLP. CoRR abs/2202.04824 (2022) - [i52]Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng:
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. CoRR abs/2203.08773 (2022) - [i51]Chenguang Zhu, Michael Zeng:
Impossible Triangle: What's Next for Pre-trained Language Models? CoRR abs/2204.06130 (2022) - [i50]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:
i-Code: An Integrative and Composable Multimodal Learning Framework. CoRR abs/2205.01818 (2022) - [i49]Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng:
Automatic Rule Induction for Efficient Semi-Supervised Learning. CoRR abs/2205.09067 (2022) - [i48]Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng:
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning. CoRR abs/2206.01843 (2022) - [i47]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:
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. CoRR abs/2208.09770 (2022) - [i46]Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang:
Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR abs/2209.10063 (2022) - [i45]Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng:
Task Compass: Scaling Multi-task Pre-training with Task Prefix. CoRR abs/2210.06277 (2022) - [i44]Zhengyang Chen, Yao Qian, Bing Han, Yanmin Qian, Michael Zeng:
A comprehensive study on self-supervised distillation for speaker representation learning. CoRR abs/2210.15936 (2022) - [i43]Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang:
MACSum: Controllable Summarization with Mixed Attributes. CoRR abs/2211.05041 (2022) - [i42]Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang:
UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. CoRR abs/2211.09783 (2022) - [i41]Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang:
ReCo: Region-Controlled Text-to-Image Generation. CoRR abs/2211.15518 (2022) - [i40]Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal:
Unifying Vision, Text, and Layout for Universal Document Processing. CoRR abs/2212.02623 (2022) - 2021
- [c21]Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang:
Fusing Context Into Knowledge Graph for Commonsense Question Answering. ACL/IJCNLP (Findings) 2021: 1201-1207 - [c20]Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng:
Retrieval Enhanced Model for Commonsense Generation. ACL/IJCNLP (Findings) 2021: 3056-3062 - [c19]Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
Want To Reduce Labeling Cost? GPT-3 Can Help. EMNLP (Findings) 2021: 4195-4205 - [c18]Yao Qian, Ximo Bian, Yu Shi, Naoyuki Kanda, Leo Shen, Zhen Xiao, Michael Zeng:
Speech-Language Pre-Training for End-to-End Spoken Language Understanding. ICASSP 2021: 7458-7462 - [c17]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng:
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model. ICASSP 2021: 7578-7582 - [c16]Chengyi Wang, Yu Wu, Yao Qian, Ken'ichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang:
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data. ICML 2021: 10937-10947 - [c15]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders. IJCNN 2021: 1-8 - [c14]Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao:
Data Augmentation for Spoken Language Understanding via Pretrained Language Models. Interspeech 2021: 1219-1223 - [c13]Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Enhancing Factual Consistency of Abstractive Summarization. NAACL-HLT 2021: 718-733 - [c12]Yu-An Chung, Chenguang Zhu, Michael Zeng:
SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding. NAACL-HLT 2021: 1897-1907 - [c11]Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng:
MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. NAACL-HLT 2021: 5927-5934 - [c10]Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang:
Leveraging Lead Bias for Zero-shot Abstractive News Summarization. SIGIR 2021: 1462-1471 - [i39]Chengyi Wang, Yu Wu, Yao Qian, Ken'ichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang:
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data. CoRR abs/2101.07597 (2021) - [i38]Yao Qian, Ximo Bian, Yu Shi, Naoyuki Kanda, Leo Shen, Zhen Xiao, Michael Zeng:
Speech-language Pre-training for End-to-end Spoken Language Understanding. CoRR abs/2102.06283 (2021) - [i37]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders. CoRR abs/2102.06578 (2021) - [i36]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng:
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model. CoRR abs/2102.11114 (2021) - [i35]Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng:
MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. CoRR abs/2103.06410 (2021) - [i34]Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng:
Retrieval Enhanced Model for Commonsense Generation. CoRR abs/2105.11174 (2021) - [i33]Linhao Zhang, Yu Shi, Linjun Shou, Ming Gong, Houfeng Wang, Michael Zeng:
A Joint and Domain-Adaptive Approach to Spoken Language Understanding. CoRR abs/2107.11768 (2021) - [i32]Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
Want To Reduce Labeling Cost? GPT-3 Can Help. CoRR abs/2108.13487 (2021) - [i31]Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng:
Does Knowledge Help General NLU? An Empirical Study. CoRR abs/2109.00563 (2021) - [i30]Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. CoRR abs/2109.02492 (2021) - [i29]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR abs/2110.04330 (2021) - [i28]Zhengyang Chen, Sanyuan Chen, Yu Wu, Yao Qian, Chengyi Wang, Shujie Liu, Yanmin Qian, Michael Zeng:
Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification. CoRR abs/2110.05777 (2021) - [i27]Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang:
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. CoRR abs/2110.06490 (2021) - [i26]Yang Liu, Chenguang Zhu, Michael Zeng:
End-to-End Segmentation-based News Summarization. CoRR abs/2110.07850 (2021) - [i25]Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng:
Leveraging Knowledge in Multilingual Commonsense Reasoning. CoRR abs/2110.08462 (2021) - [i24]Wei Wang, Shuo Ren, Yao Qian, Shujie Liu, Yu Shi, Yanmin Qian, Michael Zeng:
Optimizing Alignment of Speech and Language Latent Spaces for End-to-End Speech Recognition and Understanding. CoRR abs/2110.12138 (2021) - [i23]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:
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing. CoRR abs/2110.13900 (2021) - [i22]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:
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CoRR abs/2111.02387 (2021) - [i21]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:
Florence: A New Foundation Model for Computer Vision. CoRR abs/2111.11432 (2021) - [i20]Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. CoRR abs/2112.03254 (2021) - [i19]Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang:
MLP Architectures for Vision-and-Language Modeling: An Empirical Study. CoRR abs/2112.04453 (2021) - [i18]Ken'ichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng:
Sequence-level self-learning with multiple hypotheses. CoRR abs/2112.05826 (2021) - 2020
- [c9]Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao:
Few-shot Natural Language Generation for Task-Oriented Dialog. EMNLP (Findings) 2020: 172-182 - [c8]Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang:
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining. EMNLP (Findings) 2020: 194-203 - [c7]Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve:
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. EMNLP (Findings) 2020: 1865-1874 - [c6]Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang:
Mixed-Lingual Pre-training for Cross-lingual Summarization. AACL/IJCNLP 2020: 536-541 - [c5]Ken'ichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng:
Sequence-Level Self-Learning with Multiple Hypotheses. INTERSPEECH 2020: 3775-3779 - [c4]Yao Qian, Yu Shi, Michael Zeng:
Discriminative Transfer Learning for Optimizing ASR and Semantic Labeling in Task-Oriented Spoken Dialog. INTERSPEECH 2020: 3915-3919 - [i17]Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve:
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. CoRR abs/2001.00725 (2020) - [i16]Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao:
Few-shot Natural Language Generation for Task-Oriented Dialog. CoRR abs/2002.12328 (2020) - [i15]Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. CoRR abs/2003.08612 (2020) - [i14]Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang:
End-to-End Abstractive Summarization for Meetings. CoRR abs/2004.02016 (2020) - [i13]Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Readability for Automatic Speech Recognition Transcription. CoRR abs/2004.04438 (2020) - [i12]Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao:
Data Augmentation for Spoken Language Understanding via Pretrained Models. CoRR abs/2004.13952 (2020) - [i11]Yumo Xu, Chenguang Zhu, Baolin Peng, Michael Zeng:
Meta Dialogue Policy Learning. CoRR abs/2006.02588 (2020) - [i10]Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang:
Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization. CoRR abs/2006.15435 (2020) - [i9]Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng:
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. CoRR abs/2010.00796 (2020) - [i8]Yu-An Chung, Chenguang Zhu, Michael Zeng:
Semi-Supervised Speech-Language Joint Pre-Training for Spoken Language Understanding. CoRR abs/2010.02295 (2020) - [i7]Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang:
Mixed-Lingual Pre-training for Cross-lingual Summarization. CoRR abs/2010.08892 (2020) - [i6]Xie Chen, Sarangarajan Parthasarathy, William Gale, Shuangyu Chang, Michael Zeng:
LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition. CoRR abs/2010.11349 (2020) - [i5]Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang:
Fusing Context Into Knowledge Graph for Commonsense Reasoning. CoRR abs/2012.04808 (2020)
2010 – 2019
- 2019
- [c3]Chenguang Zhu, Michael Zeng, Xuedong Huang:
Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue. EMNLP/IJCNLP (1) 2019: 1261-1266 - [c2]Takuya Yoshioka, Dimitrios Dimitriadis, Andreas Stolcke, William Hinthorn, Zhuo Chen, Michael Zeng, Xuedong Huang:
Meeting Transcription Using Asynchronous Distant Microphones. INTERSPEECH 2019: 2968-2972 - [c1]Chenguang Zhu, Michael Zeng, Xuedong Huang:
SIM: A Slot-Independent Neural Model for Dialogue State Tracking. SIGdial 2019: 40-45 - [i4]Takuya Yoshioka, Zhuo Chen, Dimitrios Dimitriadis, William Hinthorn, Xuedong Huang, Andreas Stolcke, Michael Zeng:
Meeting Transcription Using Virtual Microphone Arrays. CoRR abs/1905.02545 (2019) - [i3]Chenguang Zhu, Michael Zeng, Xuedong Huang:
SIM: A Slot-Independent Neural Model for Dialogue State Tracking. CoRR abs/1909.11833 (2019) - [i2]Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang:
Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization. CoRR abs/1912.11602 (2019) - 2018
- [i1]Chenguang Zhu, Michael Zeng, Xuedong Huang:
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering. CoRR abs/1812.03593 (2018)
Coauthor Index
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