基本介紹
- 中文名：劉菁菁
- 外文名：Jingjing Liu
- 國籍：美國
- 出生地：中國
- 畢業院校：麻省理工學院、南開大學、劍橋大學
- 職稱：清華大學智慧型產業研究院首席研究員/國強教授
研究方向,主要成就,
研究方向
多模態人工智慧，自然語言處理，大規模預訓練，對抗性學習
主要成就
1. Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang, The Elastic Lottery Ticket Hypothesis, NeurIPS 2021. (arxiv:2103.16547)
2. Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang, Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective, NeurIPS 202. (arxiv:2103.00397)
3. Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu, VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation, NeurIPS 2021. (arxiv:2106.04632)
4. Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu, EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets, ACL 2021 (Oral). (arXiv:2101.00063)
5.Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu, Cluster-Former: Clustering-based Sparse Transformer for Question Answering, Findings of ACL 2021. (arxiv/2009.06097)
6. Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, and Tom Goldstein, Adaptive Learning Rates with Maximum Variation Averaging, ECML 2021. (arXiv:2006.11918v1)
7.Jie Lei*, Linjie Li*, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, and Jingjing Liu, Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling, CVPR 2021 (Oral). (arXiv:2102.06183)
8.Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, and Jingjing Liu, UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training, CVPR 2021. (arXiv:2104.00332)
9.Liqun Chen*, Dong Wang*, Zhe Gan, Jingjing Liu, Ricardo Henao, and Lawrence Carin, Wasserstein Contrastive Representation Distillation, CVPR 2021. (arXiv:2012.08674).
10.Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, and Jingjing Liu, APo-VAE: Text Generation in Hyperbolic Space, NAACL 2021. (arXiv:2005.00054)
11.Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, and Jingjing Liu, LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval, NAACL 2021. (arXiv:2103.08784)
12.Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, and Jingjing Liu, InfoBERT: Improving Robustness of Language Models from an Information Theoretic Perspective, ICLR 2021. (arXiv:2010.02329)
13.Yuwei Fang*, Shuohang Wang*, Zhe Gan, Siqi Sun, and Jingjing Liu, FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding, AAAI 2021. (arXiv:2009.05166)
14.Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, and Jingjing Liu, Large-Scale Adversarial Training for Vision-and-Language Representation Learning, NeurIPS 2020 (Spotlight) (arXiv:2006.06195)
15.Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, and Jingjing 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, and Jingjing 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, and Jingjing Liu, Cross-Thought for Sentence Encoder Pre-training, EMNLP 2020. (arXiv:2010.03652)
12.Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, and Jingjing Liu, Hierarchical Graph Network for Multi-hop Question Answering, EMNLP 2020. (arXiv:1911.03631)
13.Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, and Jingjing Liu, Multi-Fact Correction in Abstractive Text Summarization, EMNLP 2020. (arXiv:2010.02443)
14.Yu Cheng, Yizhe Zhang, Oussama Elachqar, Zhe Gan, and Jingjing Liu, Contextual Text Style Transfer, EMNLP 2020 (Findings of EMNLP). (arXiv:2005.00136)
15.Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu, UNITER: Learning UNiversal Image-TExt Representations, ECCV 2020. (arXiv:1909.11740)
16.Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, and Jingjing 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, and Jingjing Liu, Graph Optimal Transport for Cross-Domain Alignment, ICML 2020. (arXiv:2006.14744)
18.Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, and Jingjing Liu, Distilling Knowledge Learned in BERT for Text Generation, ACL 2020. (arXiv:1911.03829)
19.Jiacheng Xu, Zhe Gan, Yu Cheng, and Jingjing Liu, Discourse-Aware Neural Extractive Model for Text Summarization, ACL 2020. (arXiv:1910.14142)
20.Yizhe Zhang Siqi Sun, Michel Galley, Yen-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, and Jingjing 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, and Jingjing 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, and Jingjing Liu, FreeLB: Enhanced Adversarial Training for Language Understanding, ICLR 2020. (arXiv: 1909.11764)
24.Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, and Jingjing 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, and Jingjing 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 Srinivasa. Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation, CVPR 2019 (Oral). (arXiv: 1903.02547)
30.Siqi Sun, Yu Cheng, Zhe Gan, and Jingjing Liu. Patient Knowledge Distillation for BERT Model Compression, EMNLP 2019. (arXiv: 1908.09355)
