Jingjing Liu

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 108

Top Venues

CoRR

CVPR

EMNLP (1)

AAAI

Publications

Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang
Adversarial Feature Augmentation and Normalization for Visual Recognition. Trans. Mach. Learn. Res. 2022 (2022)
Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. AAAI (2021)
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. ICLR (2021)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
The Elastic Lottery Ticket Hypothesis. CoRR (2021)
Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. ICCV (2021)
Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective. NeurIPS (2021)
Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu
Playing Lottery Tickets with Vision and Language. CoRR (2021)
Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval. NAACL-HLT (2021)
Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning. CoRR (2021)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. CoRR (2021)
Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. CoRR (2021)
Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu
Adversarial Feature Augmentation and Normalization for Visual Recognition. CoRR (2021)
Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. CoRR (2021)
Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu
UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training. CVPR (2021)
Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu
Meta Module Network for Compositional Visual Reasoning. WACV (2021)
Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu
Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. CVPR (2021)
Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin 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 Datasets and Benchmarks (2021)
Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval. CoRR (2021)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
The Elastic Lottery Ticket Hypothesis. NeurIPS (2021)
Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly. CoRR (2021)
Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training. CoRR (2021)
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT (2021)
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. ACL/IJCNLP (Findings) (2021)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. ACL/IJCNLP (1) (2021)
Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. CoRR (2021)
Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin
Wasserstein Contrastive Representation Distillation. CVPR (2021)
Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients. ECML/PKDD (3) (2021)
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
Graph Optimal Transport for Cross-Domain Alignment. CoRR (2020)
Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu
Discourse-Aware Neural Extractive Text Summarization. ACL (2020)
Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu
Large-Scale Adversarial Training for Vision-and-Language Representation Learning. CoRR (2020)
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu
UNITER: UNiversal Image-TExt Representation Learning. ECCV (30) (2020)
Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. CoRR (2020)
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation. ACL (demo) (2020)
Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. ECCV (6) (2020)
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
BachGAN: High-Resolution Image Synthesis From Salient Object Layout. CVPR (2020)
Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR (2020)
Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching. AAAI (2020)
Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu
Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching. CoRR (2020)
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu
Cross-Thought for Sentence Encoder Pre-training. CoRR (2020)
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. CoRR (2020)
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang
Cross-Thought for Sentence Encoder Pre-training. EMNLP (1) (2020)
Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. CoRR (2020)
Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu
Accelerating Real-Time Question Answering via Question Generation. CoRR (2020)
Linjie Li, Zhe Gan, Jingjing Liu
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models. CoRR (2020)
Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin
Wasserstein Contrastive Representation Distillation. CoRR (2020)
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
APo-VAE: Text Generation in Hyperbolic Space. CoRR (2020)
Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu
Contextual Text Style Transfer. CoRR (2020)
Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao
Sequential Attention GAN for Interactive Image Editing. ACM Multimedia (2020)
Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu
Hierarchical Graph Network for Multi-hop Question Answering. EMNLP (1) (2020)
Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding. CoRR (2020)
Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu
Contextual Text Style Transfer. EMNLP (Findings) (2020)
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. CoRR (2020)
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu
FreeLB: Enhanced Adversarial Training for Natural Language Understanding. ICLR (2020)
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. EMNLP (1) (2020)
Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu
Contrastive Distillation on Intermediate Representations for Language Model Compression. EMNLP (1) (2020)
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
BachGAN: High-Resolution Image Synthesis from Salient Object Layout. CoRR (2020)
Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu
Distilling Knowledge Learned in BERT for Text Generation. ACL (2020)
Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. ACCV (4) (2020)
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
Multi-Fact Correction in Abstractive Text Summarization. CoRR (2020)
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
Efficient Robust Training via Backward Smoothing. CoRR (2020)
Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein
Adaptive Learning Rates with Maximum Variation Averaging. CoRR (2020)
Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu
Large-Scale Adversarial Training for Vision-and-Language Representation Learning. NeurIPS (2020)
Siqi Sun, Zhe Gan, Yu Cheng, Yuwei Fang, Shuohang Wang, Jingjing Liu
Contrastive Distillation on Intermediate Representations for Language Model Compression. CoRR (2020)
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
Multi-Fact Correction in Abstractive Text Summarization. EMNLP (1) (2020)
Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. AAAI (2020)
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
Graph Optimal Transport for Cross-Domain Alignment. ICML (2020)
Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR (2020)
Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu
Hierarchical Graph Network for Multi-hop Question Answering. CoRR (2019)
Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. CoRR (2019)
Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu
Discourse-Aware Neural Extractive Model for Text Summarization. CoRR (2019)
Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. CoRR (2019)
Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. AAAI (2019)
Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu
Relation-Aware Graph Attention Network for Visual Question Answering. ICCV (2019)
Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR (2019)
Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR (2019)
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu
UNITER: Learning UNiversal Image-TExt Representations. CoRR (2019)
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang
Adversarial Domain Adaptation for Machine Reading Comprehension. EMNLP/IJCNLP (1) (2019)
Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu
Meta Module Network for Compositional Visual Reasoning. CoRR (2019)
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR (2019)
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang
Adversarial Domain Adaptation for Machine Reading Comprehension. CoRR (2019)
Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) (2019)
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu
FreeLB: Enhanced Adversarial Training for Language Understanding. CoRR (2019)
Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. CoRR (2019)
Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu
A Hybrid Retrieval-Generation Neural Conversation Model. CIKM (2019)
Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu
Patient Knowledge Distillation for BERT Model Compression. EMNLP/IJCNLP (1) (2019)
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation. CoRR (2019)
Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu
A Hybrid Retrieval-Generation Neural Conversation Model. CoRR (2019)
Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu
Distilling the Knowledge of BERT for Text Generation. CoRR (2019)
Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. ACL (1) (2019)
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. NAACL-HLT (1) (2019)
Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu
Patient Knowledge Distillation for BERT Model Compression. CoRR (2019)
Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu
Relation-aware Graph Attention Network for Visual Question Answering. CoRR (2019)
Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR (2019)
Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. EMNLP (2018)
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
StoryGAN: A Sequential Conditional GAN for Story Visualization. CoRR (2018)
Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong
Integrating planning for task-completion dialogue policy learning. CoRR (2018)
Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning. ACL (1) (2018)
Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang
Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. CoRR (2018)
Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu
Language-Based Image Editing With Recurrent Attentive Models. CVPR (2018)
Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao
Sequential Attention GAN for Interactive Image Editing via Dialogue. CoRR (2018)

Jingjing Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jingjing Liu