刘菁菁，麻省理工学院计算机科学博士，英国剑桥大学MBA，曾任美国微软资深首席研究部门经理，带领科研团队在视觉加语言多模态机器学习，自然语言处理等人工智能领域开展科学研究。加入美国微软研究院之前，刘菁菁博士曾任麻省理工学院计算机科学与人工智能实验室 (MIT CSAIL) 研究科学家，专注于语音对话系统学术研究。

​多模态人工智能，自然语言处理，大规模预训练，对抗性学习

1.Jie Lei*, Linjie Li*, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, andJingjing Liu,Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling, cvpr 2021 (Oral). (arXiv:2102.06183)

2.Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, andJingjing Liu,UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training, cvpr 2021. (arXiv:2104.00332)

3.Liqun Chen*, 越南盾 Wang*, Zhe Gan,Jingjing Liu, Ricardo Henao, and Lawrence Carin,Wasserstein Contrastive Representation Distillation, CVPR 2021. (arXiv:2012.08674).

4.Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, andJingjing Liu,APo-许嵩: Text Generation in Hyperbolic Space, NAACL 2021. (arXiv:2005.00054)

5.Siqi Sun, 日元Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, andJingjing Liu,LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval, NAACL 2021. (arXiv:2103.08784)

6.Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, andJingjing Liu,InfoBERT: Improving Robustness of Language Models from an Information Theoretic Perspective, ICLR 2021. (arXiv:2010.02329)

7.Yuwei Fang*, Shuohang Wang*, Zhe Gan, Siqi Sun, andJingjing Liu,FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding, AAAI 2021. (arXiv:2009.05166)

8.Zhe Gan, 日元Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, andJingjing Liu,Large-Scale Adversarial Training for Vision-and-Language Representation Learning, NeurIPS 2020 (Spotlight) (arXiv:2006.06195)

9.Linjie Li, 日元Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, andJingjing Liu,HERO: Hierarchical Encoder for Video Language Omni-representation Pre-training, EMNLP 2020. (arXiv:2005.00200)

10.Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, andJingjing Liu,Contrastive Distillation on Intermediate Representations for Language Model Compression, EMNLP 2020. (arXiv:2009.14167)

11.Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jiang Jing, andJingjing Liu,Cross-Thought for Sentence Encoder Pre-training, EMNLP 2020. (arXiv:2010.03652)

12.Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, andJingjing Liu,Hierarchical Graph Network for Multi-hop Question Answering, EMNLP 2020. (arXiv:1911.03631)

13.Yue 越南盾, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, andJingjing Liu,Multi-Fact Correction in Abstractive Text Summarization, EMNLP 2020. (arXiv:2010.02443)

14.Yu Cheng, Yizhe Zhang, Oussama Elachqar, Zhe Gan, andJingjing Liu,Contextual Text Style Transfer, EMNLP 2020 (Findings of EMNLP). (arXiv:2005.00136)

15.日元Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, andJingjing Liu,UNITER: Learning UNiversal Image-TExt Representations, ECCV 2020. (arXiv:1909.11740)

16.Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, 日元Chun Chen, andJingjing Liu,Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models, ECCV 2020 (Spotlight). (arXiv:2005.07310)

17.Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, andJingjing Liu,Graph Optimal Transport for Cross-Domain Alignment, ICML 2020. (arXiv:2006.14744)

18.日元Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, andJingjing Liu,Distilling Knowledge Learned in BERT for Text Generation, ACL 2020. (arXiv:1911.03829)

19.Jiacheng Xu, Zhe Gan, Yu Cheng, andJingjing Liu,Discourse-Aware Neural Extractive Model for Text Summarization, ACL 2020. (arXiv:1910.14142)

20.Yizhe Zhang Siqi Sun, Michel 桨帆船, 日元Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao,Jingjing Liu, and Bill Dolan,DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation, ACL 2020. (arXiv:1911.00536)

21.Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, andJingjing Liu,VIOLIN: A Large-Scale Dataset for Video-and-Language Inference, cvpr 2020. (arXiv:2003.11618)

22.Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, andJingjing Liu,BachGAN: High-Resolution Image Synthesis from Salient Object Layout, CVPR 2020. (arXiv:2003.11690)

23.Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, andJingjing Liu,FreeLB: Enhanced Adversarial Training for Language Understanding, ICLR 2020. (arXiv: 1909.11764)

24.Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, andJingjing Liu,Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching, AAAI 2020. (arXiv:2001.07234)

25.Junjie Hu, Yu Cheng, Zhe Gan,Jingjing Liu, Jianfeng Gao, and Graham Neubig,What Makes A Good Story? Designing Composite Rewards for Visual Storytelling, AAAI 2020. (arXiv: 1909.05316)

26.Zhe Gan, Yu Cheng, Ahmed EI Kholy, Linjie Li,Jingjing Liu, and Jianfeng Gao,Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog, ACL 2019. (arXiv: 1902.00579)

27.Linjie Li, Zhe Gan, Yu Cheng, andJingjing Liu,Relation-aware Graph Attention Network for Visual Question Answering, ICCV 2019. (arXiv: 1903.12314)

28.Yitong Li, Zhe Gan, Yelong Shen,Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, and Jianfeng Gao,StoryGAN: A Sequential Conditional GAN for Story Visualization, cvpr 2019. (arXiv: 1812.02784)

29.Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan,Jingjing Liu, Jianfeng Gao, Yejin Choi, and Siddhartha SriniVASATACTICAL Rewind: Self-Correction via Backtracking in Visionand-Language Navigation, cvpr 2019 (Oral). (arXiv: 1903.02547)

30.Siqi Sun, Yu Cheng, Zhe Gan, andJingjing Liu.Patient Knowledge Distillation for BERT Model Compression, EMNLP 2019. (arXiv: 1908.09355)