Lizhen Qu

Orcid: 0000-0002-7764-431X

According to our database1, Lizhen Qu authored at least 73 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Generative Region-Language Pretraining for Open-Ended Object Detection.
CoRR, 2024

FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning.
CoRR, 2024

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations.
CoRR, 2024

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues.
CoRR, 2024

SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations.
CoRR, 2024

Importance-Aware Data Augmentation for Document-Level Neural Machine Translation.
CoRR, 2024

Adapting Large Language Models for Document-Level Machine Translation.
CoRR, 2024

Let's Negotiate! A Survey of Negotiation Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Importance-Aware Data Augmentation for Document-Level Neural Machine Translation.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Turning Flowchart into Dialog: Plan-based Data Augmentation for Low-Resource Flowchart-grounded Troubleshooting Dialogs.
CoRR, 2023

Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery.
CoRR, 2023

SocialDial: A Benchmark for Socially-Aware Dialogue Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning Object-Language Alignments for Open-Vocabulary Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation.
Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022
CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation.
IEEE Trans. Dependable Secur. Comput., 2022

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods.
CoRR, 2022

Let's Negotiate! A Survey of Negotiation Dialogue Systems.
CoRR, 2022

Federated Model Decomposition with Private Vocabulary for Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Easy-to-Deploy API Extraction by Multi-Level Feature Embedding and Transfer Learning.
IEEE Trans. Software Eng., 2021

Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs.
CoRR, 2021

Privacy Monitoring Service for Conversations.
Proceedings of the WSDM '21, 2021

Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Few-Shot Semantic Parsing for New Predicates.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

On Robustness of Neural Semantic Parsers.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Neural-Symbolic Commonsense Reasoner with Relation Predictors.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Causal Relationships Between Emotions and Dialog Acts.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020
Personal Information Leakage Detection in Conversations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Context Dependent Semantic Parsing: A Survey.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Adhering, Steering, and Queering: Treatment of Gender in Natural Language Generation.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Privacy-Aware Text Rewriting.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

Deep Domain Adaptation for Vulnerable Code Function Identification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.
Proceedings of the 7th International Conference on Learning Representations, 2019

ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Machine Reading Comprehension: Matching and Orders.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
D-PAGE: Diverse Paraphrase Generation.
CoRR, 2018

2017
Collective Vertex Classification Using Recursive Neural Network.
CoRR, 2017

f-GANs in an Information Geometric Nutshell.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Automatic Generation of Grounded Visual Questions.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Attentive Graph-based Recursive Neural Network for Collective Vertex Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Demographic Inference on Twitter using Recursive Neural Networks.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Making Neural Networks Robust to Label Noise: a Loss Correction Approach.
CoRR, 2016

STransE: a novel embedding model of entities and relationships in knowledge bases.
Proceedings of the NAACL HLT 2016, 2016

Named Entity Recognition for Novel Types by Transfer Learning.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Neighborhood Mixture Model for Knowledge Base Completion.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Pairwise FastText Classifier for Entity Disambiguation.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

2015
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks.
CoRR, 2015

Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2014
Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM.
Trans. Assoc. Comput. Linguistics, 2014

Estimating Maximally Probable Constrained Relations by Mathematical Programming.
CoRR, 2014

2013
Sentiment analysis with limited training data.
PhD thesis, 2013

2012
A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Harvesting facts from textual web sources by constrained label propagation.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia.
Proceedings of the EDBT 2010, 2010

The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns.
Proceedings of the COLING 2010, 2010

2008
Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge.
Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2008

Using tag semantic network for keyphrase extraction in blogs.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008


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