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Ming Zhou 0001
Person information
- affiliation: langboat.com, Beijing, China
- affiliation: Sinovation Ventures, Beijing, China
- affiliation (former): Microsoft Research Asia, Beijing, China
- affiliation (PhD 1991): Harbin Institute of Technology, China
Other persons with the same name
- Ming Zhou — disambiguation page
- Ming Zhou 0002 — Bristol-Myers Squibb, Global Biometric Sciences, New York City, NY, USA (and 1 more)
- Ming Zhou 0003 — Northeast Normal University, Department of Chemistry, Changchun, Jilin, China
- Ming Zhou 0004 — Tsinghua University, Beijing, China (and 1 more)
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2020 – today
- 2024
- [j39]Hanqing Zhang, Haolin Song, Shaoyu Li, Ming Zhou, Dawei Song:
A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models. ACM Comput. Surv. 56(3): 64:1-64:37 (2024) - [j38]Wang Xu, Yongliang Ma, Kehai Chen, Ming Zhou, Muyun Yang, Tiejun Zhao:
Hierarchical Latent Alignment for Non-Autoregressive Generation under High Compression Ratio. IEICE Trans. Inf. Syst. 107(3): 411-419 (2024) - [j37]Chin-Ling Chen, Qing-Yang Huang, Ming Zhou, Der-Chen Huang, Ling-Chun Liu, Yong-Yuan Deng:
Quantified emotion analysis based on design principles of color feature recognition in pictures. Multim. Tools Appl. 83(19): 57243-57267 (2024) - [c283]Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis. AAAI 2024: 6431-6439 - 2023
- [j36]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving task generalization via unified schema prompt. AI Open 4: 120-129 (2023) - [j35]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24: 150:1-150:12 (2023) - [j34]Hanmeng Liu, Jian Liu, Leyang Cui, Zhiyang Teng, Nan Duan, Ming Zhou, Yue Zhang:
LogiQA 2.0 - An Improved Dataset for Logical Reasoning in Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2947-2962 (2023) - [j33]Yi Dou, Xinling Liu, Ming Zhou, Jianjun Wang:
Robust principal component analysis via weighted nuclear norm with modified second-order total variation regularization. Vis. Comput. 39(8): 3495-3505 (2023) - 2022
- [j32]Chin-Ling Chen, Zhi-Peng Zhu, Ming Zhou, Woei-Jiunn Tsaur, Chih-Ming Wu, Hongyu Sun:
A Secure and Traceable Vehicles and Parts System Based on Blockchain and Smart Contract. Sensors 22(18): 6754 (2022) - [j31]Chin-Ling Chen, Cheng-Chen Fang, Ming Zhou, Woei-Jiunn Tsaur, Hongyu Sun, Wanbing Zhan, Yong-Yuan Deng:
A Blockchain-Based Anti-Counterfeit and Traceable NBA Digital Trading Card Management System. Symmetry 14(9): 1827 (2022) - [j30]Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2201-2216 (2022) - [j29]Jian Zhao, Weizhen Qi, Wengang Zhou, Nan Duan, Ming Zhou, Houqiang Li:
Conditional Sentence Generation and Cross-Modal Reranking for Sign Language Translation. IEEE Trans. Multim. 24: 2662-2672 (2022) - [c282]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. ACL (Findings) 2022: 1619-1629 - [c281]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. ACL (1) 2022: 7212-7225 - [c280]Kun Yan, Lei Ji, Chenfei Wu, Jianmin Bao, Ming Zhou, Nan Duan, Shuai Ma:
Trace Controlled Text to Image Generation. ECCV (36) 2022: 59-75 - [c279]Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA 2022: 7544-7550 - [c278]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. IJCAI 2022: 4531-4537 - [c277]Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou:
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. NAACL-HLT 2022: 1550-1565 - [c276]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
Analytical Reasoning of Text. NAACL-HLT (Findings) 2022: 2306-2319 - [c275]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. NAACL-HLT 2022: 4230-4243 - [i130]Hanqing Zhang, Haolin Song, Shaoyu Li, Ming Zhou, Dawei Song:
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models. CoRR abs/2201.05337 (2022) - [i129]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. CoRR abs/2201.05880 (2022) - [i128]Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun:
Generative Adversarial Exploration for Reinforcement Learning. CoRR abs/2201.11685 (2022) - [i127]Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu:
Efficient Policy Space Response Oracles. CoRR abs/2202.00633 (2022) - [i126]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. CoRR abs/2203.03850 (2022) - [i125]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. CoRR abs/2205.04040 (2022) - [i124]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving Task Generalization via Unified Schema Prompt. CoRR abs/2208.03229 (2022) - [i123]Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang:
Pre-Training a Graph Recurrent Network for Language Representation. CoRR abs/2209.03834 (2022) - [i122]Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: A High-Resolution Panorama Synthesis Framework. CoRR abs/2210.04522 (2022) - [i121]Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang:
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. CoRR abs/2212.12669 (2022) - 2021
- [j28]Chin-Ling Chen, Yong-Yuan Deng, Wei Weng, Ming Zhou, Hongyu Sun:
A blockchain-based intelligent anti-switch package in tracing logistics system. J. Supercomput. 77(7): 7791-7832 (2021) - [c274]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) 2021: 408-420 - [c273]Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou:
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. ACL/IJCNLP (1) 2021: 754-763 - [c272]Yu Tang, Long Zhou, Ambrosio Blanco, Shujie Liu, Furu Wei, Ming Zhou, Muyun Yang:
Grammar-Based Patches Generation for Automated Program Repair. ACL/IJCNLP (Findings) 2021: 1300-1305 - [c271]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. ACL/IJCNLP (Findings) 2021: 1405-1418 - [c270]Kun Yan, Lei Ji, Huaishao Luo, Ming Zhou, Nan Duan, Shuai Ma:
Control Image Captioning Spatially and Temporally. ACL/IJCNLP (1) 2021: 2014-2025 - [c269]Shuo Ren, Long Zhou, Shujie Liu, Furu Wei, Ming Zhou, Shuai Ma:
SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation. ACL/IJCNLP (1) 2021: 4518-4527 - [c268]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. ACL/IJCNLP (1) 2021: 5638-5650 - [c267]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. ACL/IJCNLP (1) 2021: 5690-5700 - [c266]Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. EMNLP (Findings) 2021: 881-894 - [c265]Jiaqi Bai, Long Zhou, Ambrosio Blanco, Shujie Liu, Furu Wei, Ming Zhou, Zhoujun Li:
Jointly Learning to Repair Code and Generate Commit Message. EMNLP (1) 2021: 9784-9795 - [c264]Sanyuan Chen, Yu Wu, Zhuo Chen, Jian Wu, Jinyu Li, Takuya Yoshioka, Chengyi Wang, Shujie Liu, Ming Zhou:
Continuous Speech Separation with Conformer. ICASSP 2021: 5749-5753 - [c263]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c262]Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. ICML 2021: 8630-8639 - [c261]Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou:
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. IJCAI 2021: 3384-3391 - [c260]Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou:
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. NAACL-HLT 2021: 3576-3588 - [c259]Jian Yang, Shuming Ma, Dongdong Zhang, Juncheng Wan, Zhoujun Li, Ming Zhou:
Smart-Start Decoding for Neural Machine Translation. NAACL-HLT 2021: 3982-3988 - [c258]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [c257]Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. NLPCC (1) 2021: 786-797 - [c256]Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou:
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. PAKDD (3) 2021: 325-337 - [i120]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i119]Yuchen Jiang, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Ming Zhou:
BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation. CoRR abs/2103.11878 (2021) - [i118]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
AR-LSAT: Investigating Analytical Reasoning of Text. CoRR abs/2104.06598 (2021) - [i117]Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou:
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. CoRR abs/2105.03363 (2021) - [i116]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. CoRR abs/2105.03659 (2021) - [i115]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. CoRR abs/2105.13239 (2021) - [i114]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR abs/2106.07551 (2021) - [i113]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. CoRR abs/2106.15903 (2021) - [i112]Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. CoRR abs/2108.00648 (2021) - [i111]Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. CoRR abs/2109.00271 (2021) - [i110]Jiaqi Bai, Long Zhou, Ambrosio Blanco, Shujie Liu, Furu Wei, Ming Zhou, Zhoujun Li:
Jointly Learning to Repair Code and Generate Commit Message. CoRR abs/2109.12296 (2021) - 2020
- [j27]Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
A Joint Sentence Scoring and Selection Framework for Neural Extractive Document Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 28: 671-681 (2020) - [j26]Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020) - [c255]Chengyi Wang, Yu Wu, Shujie Liu, Zhenglu Yang, Ming Zhou:
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation. AAAI 2020: 9161-9168 - [c254]Jian Yang, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Zhoujun Li, Ming Zhou:
Alternating Language Modeling for Cross-Lingual Pre-Training. AAAI 2020: 9386-9393 - [c253]Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou:
MuTual: A Dataset for Multi-Turn Dialogue Reasoning. ACL 2020: 1406-1416 - [c252]Shuo Ren, Shujie Liu, Ming Zhou, Shuai Ma:
A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction. ACL 2020: 3476-3485 - [c251]Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma:
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation. ACL 2020: 3498-3504 - [c250]Shuming Ma, Dongdong Zhang, Ming Zhou:
A Simple and Effective Unified Encoder for Document-Level Machine Translation. ACL 2020: 3505-3511 - [c249]Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou:
MIND: A Large-scale Dataset for News Recommendation. ACL 2020: 3597-3606 - [c248]Chengyi Wang, Yu Wu, Shujie Liu, Ming Zhou, Zhenglu Yang:
Curriculum Pre-training for End-to-End Speech Translation. ACL 2020: 3728-3738 - [c247]Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou:
Graph Neural News Recommendation with Unsupervised Preference Disentanglement. ACL 2020: 4255-4264 - [c246]Jian Yang, Shuming Ma, Dongdong Zhang, Zhoujun Li, Ming Zhou:
Improving Neural Machine Translation with Soft Template Prediction. ACL 2020: 5979-5989 - [c245]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c244]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. ACL 2020: 6118-6129 - [c243]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. ACL 2020: 6170-6180 - [c242]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. ACL 2020: 6708-6718 - [c241]Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li, Ming Zhou:
DocBank: A Benchmark Dataset for Document Layout Analysis. COLING 2020: 949-960 - [c240]Shaohan Huang, Furu Wei, Lei Cui, Xingxing Zhang, Ming Zhou:
Unsupervised Fine-tuning for Text Clustering. COLING 2020: 5530-5534 - [c239]Qingyu Zhou, Furu Wei, Ming Zhou:
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization. COLING 2020: 5617-5628 - [c238]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang:
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [c237]Nan Duan, Duyu Tang, Ming Zhou:
Machine Reasoning: Technology, Dilemma and Future. EMNLP (Tutorial Abstracts) 2020: 1-6 - [c236]Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, Ming Zhou:
Improving Grammatical Error Correction with Machine Translation Pairs. EMNLP (Findings) 2020: 318-328 - [c235]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c234]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou:
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. EMNLP (Findings) 2020: 1784-1795 - [c233]Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou, Ke Xu:
Scheduled DropHead: A Regularization Method for Transformer Models. EMNLP (Findings) 2020: 1971-1980 - [c232]Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou:
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. EMNLP (Findings) 2020: 2401-2410 - [c231]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. EMNLP (1) 2020: 2461-2470 - [c230]Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou:
Pre-training for Abstractive Document Summarization by Reinstating Source Text. EMNLP (1) 2020: 3646-3660 - [c229]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. EMNLP (1) 2020: 3895-3903 - [c228]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. EMNLP (1) 2020: 5798-5810 - [c227]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. EMNLP (1) 2020: 6008-6018 - [c226]Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou:
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. EMNLP (1) 2020: 7162-7169 - [c225]Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou:
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. EMNLP (1) 2020: 7859-7869 - [c224]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. ICLR 2020 - [c223]Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou:
Self-Adversarial Learning with Comparative Discrimination for Text Generation. ICLR 2020 - [c222]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. ICML 2020: 642-652 - [c221]Chengyi Wang, Yu Wu, Yujiao Du, Jinyu Li, Shujie Liu, Liang Lu, Shuo Ren, Guoli Ye, Sheng Zhao, Ming Zhou:
Semantic Mask for Transformer Based End-to-End Speech Recognition. INTERSPEECH 2020: 971-975 - [c220]Chengyi Wang, Yu Wu, Liang Lu, Shujie Liu, Jinyu Li, Guoli Ye, Ming Zhou:
Low Latency End-to-End Streaming Speech Recognition with a Scout Network. INTERSPEECH 2020: 2112-2116 - [c219]Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu, Ming Zhou:
MoBoAligner: A Neural Alignment Model for Non-Autoregressive TTS with Monotonic Boundary Search. INTERSPEECH 2020: 3999-4003 - [c218]Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou:
LayoutLM: Pre-training of Text and Layout for Document Image Understanding. KDD 2020: 1192-1200 - [c217]Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, Zhoujun Li:
TableBank: Table Benchmark for Image-based Table Detection and Recognition. LREC 2020: 1918-1925 - [c216]Botian Shi, Lei Ji, Zhendong Niu, Nan Duan, Ming Zhou, Xilin Chen:
Learning Semantic Concepts and Temporal Alignment for Narrated Video Procedural Captioning. ACM Multimedia 2020: 4355-4363 - [c215]Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou:
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. NeurIPS 2020 - [c214]Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou:
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. NLPCC (2) 2020: 305-317 - [i109]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. CoRR abs/2001.03415 (2020) - [i108]Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen