Jingjing Liu

Affiliations:
  • Tsinghua University, Beijing, China
  • Microsoft, Redmond, WA, USA
  • Massachusetts Institute of Technology (MIT), Cambridge, CA, USA (PhD)


According to our database1, Jingjing Liu authored at least 82 papers between 2005 and 2022.

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Bibliography

2022
Adversarial Feature Augmentation and Normalization for Visual Recognition.
Trans. Mach. Learn. Res., 2022

Playing Lottery Tickets with Vision and Language.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Efficient Robust Training via Backward Smoothing.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Playing Lottery Tickets with Vision and Language.
CoRR, 2021

CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning.
CoRR, 2021

Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly.
CoRR, 2021

Meta Module Network for Compositional Visual Reasoning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

The Elastic Lottery Ticket Hypothesis.
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.
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.
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.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Wasserstein Contrastive Representation Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cluster-Former: Clustering-based Sparse Transformer for Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets.
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.
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.
CoRR, 2020

Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding.
CoRR, 2020

Accelerating Real-Time Question Answering via Question Generation.
CoRR, 2020

Adaptive Learning Rates with Maximum Variation Averaging.
CoRR, 2020

Large-Scale Adversarial Training for Vision-and-Language Representation Learning.
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.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Graph Optimal Transport for Cross-Domain Alignment.
Proceedings of the 37th International Conference on Machine Learning, 2020

FreeLB: Enhanced Adversarial Training for Natural Language Understanding.
Proceedings of the 8th International Conference on Learning Representations, 2020

Cross-Thought for Sentence Encoder Pre-training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contrastive Distillation on Intermediate Representations for Language Model Compression.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Hierarchical Graph Network for Multi-hop Question Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-Fact Correction in Abstractive Text Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contextual Text Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

UNITER: UNiversal Image-TExt Representation Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models.
Proceedings of the Computer Vision - ECCV 2020, 2020

Violin: A Large-Scale Dataset for Video-and-Language Inference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BachGAN: High-Resolution Image Synthesis From Salient Object Layout.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Discourse-Aware Neural Extractive Text Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Distilling Knowledge Learned in BERT for Text Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

What Makes A Good Story? Designing Composite Rewards for Visual Storytelling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Distilling the Knowledge of BERT for Text Generation.
CoRR, 2019

Discourse-Aware Neural Extractive Model for Text Summarization.
CoRR, 2019

FreeLB: Enhanced Adversarial Training for Language Understanding.
CoRR, 2019

UNITER: Learning UNiversal Image-TExt Representations.
CoRR, 2019

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension.
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.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Domain Adaptation for Machine Reading Comprehension.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Hybrid Retrieval-Generation Neural Conversation Model.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sequential Attention GAN for Interactive Image Editing via Dialogue.
CoRR, 2018

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.
CoRR, 2018

Multi-Task Learning for Machine Reading Comprehension.
CoRR, 2018

Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems.
CoRR, 2018

Integrating planning for task-completion dialogue policy learning.
CoRR, 2018

Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning.
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.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning.
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.
IEEE Trans. Circuits Syst. Video Technol., 2017

Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies.
CoRR, 2017

2016
Video Classification via Weakly Supervised Sequence Modeling.
Comput. Vis. Image Underst., 2016

People detection in crowded scenes by context-driven label propagation.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Multispectral Deep Neural Networks for Pedestrian Detection.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Open Domain Question Answering via Semantic Enrichment.
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.
Image Vis. Comput., 2014

IBM-Northwestern@TRECVID 2014: Surveillance Event Detection.
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.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Scalable mammogram retrieval using Anchor Graph Hashing.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Computer-aided diagnosis of mammographic masses using vocabulary tree-based image retrieval.
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.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2006
A Supervised Learning Approach to Entity Search.
Proceedings of the Information Retrieval Technology, 2006

2005
Research on Expert Search at Enterprise Track of TREC 2005.
Proceedings of the Fourteenth Text REtrieval Conference, 2005


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