Jingjing Liu

According to our database, Jingjing Liu authored at least 82 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Adversarial Feature Augmentation and Normalization for Visual Recognition.

Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang

Trans. Mach. Learn. Res., 2022

Playing Lottery Tickets with Vision and Language.

Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Efficient Robust Training via Backward Smoothing.

Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Playing Lottery Tickets with Vision and Language.

Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu

CoRR, 2021

CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning.

Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang

CoRR, 2021

Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly.

Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

CoRR, 2021

Meta Module Network for Compositional Visual Reasoning.

Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients.

Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

The Elastic Lottery Ticket Hypothesis.

Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective.

Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval.

Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

APo-VAE: Text Generation in Hyperbolic Space.

Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.

Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models.

Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training.

Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling.

Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Wasserstein Contrastive Representation Distillation.

Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cluster-Former: Clustering-based Sparse Transformer for Question Answering.

Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets.

Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding.

Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Closer Look at the Robustness of Vision-and-Language Pre-trained Models.

Linjie Li, Zhe Gan, Jingjing Liu

CoRR, 2020

Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding.

Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu

CoRR, 2020

Accelerating Real-Time Question Answering via Question Generation.

Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu

CoRR, 2020

Adaptive Learning Rates with Maximum Variation Averaging.

Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein

CoRR, 2020

Large-Scale Adversarial Training for Vision-and-Language Representation Learning.

Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sequential Attention GAN for Interactive Image Editing.

Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Graph Optimal Transport for Cross-Domain Alignment.

Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu

Proceedings of the 37th International Conference on Machine Learning, 2020

FreeLB: Enhanced Adversarial Training for Natural Language Understanding.

Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

Cross-Thought for Sentence Encoder Pre-training.

Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contrastive Distillation on Intermediate Representations for Language Model Compression.

Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training.

Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Hierarchical Graph Network for Multi-hop Question Answering.

Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-Fact Correction in Abstractive Text Summarization.

Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contextual Text Style Transfer.

Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

UNITER: UNiversal Image-TExt Representation Learning.

Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models.

Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

Violin: A Large-Scale Dataset for Video-and-Language Inference.

Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BachGAN: High-Resolution Image Synthesis From Salient Object Layout.

Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation.

Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Discourse-Aware Neural Extractive Text Summarization.

Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Distilling Knowledge Learned in BERT for Text Generation.

Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation.

Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching.

Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

What Makes A Good Story? Designing Composite Rewards for Visual Storytelling.

Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Distilling the Knowledge of BERT for Text Generation.

Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu

CoRR, 2019

Discourse-Aware Neural Extractive Model for Text Summarization.

Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu

CoRR, 2019

FreeLB: Enhanced Adversarial Training for Language Understanding.

Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu

CoRR, 2019

UNITER: Learning UNiversal Image-TExt Representations.

Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu

CoRR, 2019

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension.

Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning.

Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Relation-Aware Graph Attention Network for Visual Question Answering.

Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Domain Adaptation for Machine Reading Comprehension.

Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Patient Knowledge Distillation for BERT Model Compression.

Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

StoryGAN: A Sequential Conditional GAN for Story Visualization.

Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation.

Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Hybrid Retrieval-Generation Neural Conversation Model.

Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog.

Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning.

Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Sequential Attention GAN for Interactive Image Editing via Dialogue.

Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao

CoRR, 2018

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.

Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme

CoRR, 2018

Multi-Task Learning for Machine Reading Comprehension.

Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao

CoRR, 2018

Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems.

Xiujun Li, Sarah Panda, Jingjing Liu, Jianfeng Gao

CoRR, 2018

Integrating planning for task-completion dialogue policy learning.

Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong

CoRR, 2018

Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning.

Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning.

Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Language-Based Image Editing With Recurrent Attentive Models.

Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning.

Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization.

Jingjing Liu, Shaoting Zhang, Wei Liu, Cheng Deng, Yuanjie Zheng, Dimitris N. Metaxas

IEEE Trans. Circuits Syst. Video Technol., 2017

Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies.

Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu

CoRR, 2017

2016

Video Classification via Weakly Supervised Sequence Modeling.

Jingjing Liu, Chao Chen, Yan Zhu, Wei Liu, Dimitris N. Metaxas

Comput. Vis. Image Underst., 2016

People detection in crowded scenes by context-driven label propagation.

Jingjing Liu, Quanfu Fan, Sharath Pankanti, Dimitris N. Metaxas

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Multispectral Deep Neural Networks for Pedestrian Detection.

Jingjing Liu, Shaoting Zhang, Shu Wang, Dimitris N. Metaxas

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Open Domain Question Answering via Semantic Enrichment.

Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang

Proceedings of the 24th International Conference on World Wide Web, 2015

2014

Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions.

Jingjing Liu, Bo Liu, Shaoting Zhang, Fei Yang, Peng Yang, Dimitris N. Metaxas, Carol Neidle

Image Vis. Comput., 2014

IBM-Northwestern@TRECVID 2014: Surveillance Event Detection.

Yu Cheng, Lisa M. Brown, Quanfu Fan, Jingjing Liu, Rogério Schmidt Feris, Alok N. Choudhary, Sharath Pankanti

Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

3D Face Tracking and Multi-Scale, Spatio-temporal Analysis of Linguistically Significant Facial Expressions and Head Positions in ASL.

Bo Liu, Jingjing Liu, Xiang Yu, Dimitris N. Metaxas, Carol Neidle

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Scalable mammogram retrieval using Anchor Graph Hashing.

Jingjing Liu, Shaoting Zhang, Wei Liu, Xiaofan Zhang, Dimitris N. Metaxas

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Computer-aided diagnosis of mammographic masses using vocabulary tree-based image retrieval.

Menglin Jiang, Shaoting Zhang, Jingjing Liu, Tian Shen, Dimitris N. Metaxas

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Recognizing eyebrow and periodic head gestures using CRFs for non-manual grammatical marker detection in ASL.

Jingjing Liu, Bo Liu, Shaoting Zhang, Fei Yang, Peng Yang, Dimitris N. Metaxas, Carol Neidle

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2006

A Supervised Learning Approach to Entity Search.

Guoping Hu, Jingjing Liu, Hang Li, Yunbo Cao, Jian-Yun Nie, Jianfeng Gao

Proceedings of the Information Retrieval Technology, 2006

2005

Research on Expert Search at Enterprise Track of TREC 2005.

Yunbo Cao, Jingjing Liu, Shenghua Bao, Hang Li

Proceedings of the Fourteenth Text REtrieval Conference, 2005