Quan Wang

According to our database, Quan Wang authored at least 64 papers between 2013 and 2024.

Collaborative distances:

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

2024

Document-level Relation Extraction with Progressive Self-distillation.

Quan Wang, Zhendong Mao, Jie Gao, Yongdong Zhang

ACM Trans. Inf. Syst., November, 2024

Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension.

Licheng Zhang, Quan Wang, Benfeng Xu, Yi Liu, Zhendong Mao

IEEE Signal Process. Lett., 2024

Enhance Lifelong Model Editing with Continuous Data-Adapter Association.

Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao

CoRR, 2024

USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings.

Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization.

Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures.

Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation.

Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering.

Yixing Peng, Quan Wang, Licheng Zhang, Yi Liu, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Feature-Adaptive and Data-Scalable In-Context Learning.

Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Disentangled Learning with Synthetic Parallel Data for Text Style Transfer.

Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions.

Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao

CoRR, 2023

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.

Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang

CoRR, 2023

$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.

Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SADE: A Self-Adaptive Expert for Multi-Dataset Question Answering.

Yixing Peng, Quan Wang, Zhendong Mao, Yong-Dong Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers.

Jiaang Li, Quan Wang, Zhendong Mao

Proceedings of the IEEE International Conference on Acoustics, 2023

On the Calibration of Large Language Models and Alignment.

Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation.

Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Grammatical Error Correction via Mixed-Grained Weighted Training.

Jiahao Li, Quan Wang, Chiwei Zhu, Zhendong Mao, Yongdong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation.

Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding.

Peijian Gu, Yaozong Shen, Lijie Wang, Quan Wang, Hua Wu, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation.

Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation.

Mengqi Huang, Zhendong Mao, Quan Wang, Yongdong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, Zhendong Mao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Text Style Transfer with Contrastive Transfer Pattern Mining.

Jingxuan Han, Quan Wang, Licheng Zhang, Weidong Chen, Yan Song, Zhendong Mao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation.

Mengqi Huang, Zhendong Mao, Penghui Wang, Quan Wang, Yongdong Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection.

Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity.

Jiahao Li, Quan Wang, Zhendong Mao, Junbo Guo, Yanyan Yang, Yongdong Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Negative-Aware Attention Framework for Image-Text Matching.

Kun Zhang, Zhendong Mao, Quan Wang, Yongdong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Abusive Language Detection with Graph based Multi-task Learning.

Chunyun Zhang, Xi Zhang, Quan Wang, Jiayi Liang, Ge Zhang, Sanchuan Guo, Wenyu Zang, Yongdong Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples.

Yu Xia, Quan Wang, Yajuan Lyu, Yong Zhu, Wenhao Wu, Sujian Li, Dai Dai

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Review and Arrange: Curriculum Learning for Natural Language Understanding.

Licheng Zhang, Zhendong Mao, Benfeng Xu, Quan Wang, Yongdong Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Building Chinese Biomedical Language Models via Multi-Level Text Discrimination.

Quan Wang, Songtai Dai, Benfeng Xu, Yajuan Lyu, Yong Zhu, Hua Wu, Haifeng Wang

CoRR, 2021

BDKG at MEDIQA 2021: System Report for the Radiology Report Summarization Task.

Songtai Dai, Quan Wang, Yajuan Lyu, Yong Zhu

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Link Prediction on N-ary Relational Facts: A Graph-based Approach.

Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu

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

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao

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

Deep Metric Learning with Self-Supervised Ranking.

Zheren Fu, Yan Li, Zhendong Mao, Quan Wang, Yongdong Zhang

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

2020

DuEE: A Large-Scale Dataset for Chinese Event Extraction in Real-World Scenarios.

Xinyu Li, Fayuan Li, Lu Pan, Yuguang Chen, Weihua Peng, Quan Wang, Yajuan Lyu, Yong Zhu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Event Extraction as Multi-turn Question Answering.

Fayuan Li, Weihua Peng, Yuguang Chen, Quan Wang, Lu Pan, Yajuan Lyu, Yong Zhu

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

Curriculum Learning for Natural Language Understanding.

Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, Yongdong Zhang

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

2019

CoKE: Contextualized Knowledge Graph Embedding.

Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu

CoRR, 2019

An Overview of the 2019 Language and Intelligence Challenge.

Quan Wang, Wenquan Wu, Yabing Shi, Hongyu Li, Zhen Guo, Wei He, Hongyu Liu, Ying Chen, Yajuan Lyu, Hua Wu

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Adaptive Convolution for Multi-Relational Learning.

Xiaotian Jiang, Quan Wang, Bin Wang

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

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension.

An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li

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

D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension.

Hongyu Li, Xiyuan Zhang, Yibing Liu, Yiming Zhang, Quan Wang, Xiangyang Zhou, Jing Liu, Hua Wu, Haifeng Wang

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Post Tuned Hashing: A New Approach to Indexing High-dimensional Data.

Zhendong Mao, Quan Wang, Yongdong Zhang, Bin Wang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Improving Knowledge Graph Embedding Using Simple Constraints.

Boyang Ding, Quan Wang, Bin Wang, Li Guo

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

Knowledge Graph Embedding With Iterative Guidance From Soft Rules.

Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Knowledge Graph Embedding: A Survey of Approaches and Applications.

Quan Wang, Zhendong Mao, Bin Wang, Li Guo

IEEE Trans. Knowl. Data Eng., 2017

SSE: Semantically Smooth Embedding for Knowledge Graphs.

Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo

IEEE Trans. Knowl. Data Eng., 2017

Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017.

Boyang Ding, Quan Wang, Bin Wang

CoRR, 2017

Constructing and Embedding Abstract Event Causality Networks from Text Snippets.

Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Attentive Path Combination for Knowledge Graph Completion.

Xiaotian Jiang, Quan Wang, Baoyuan Qi, Yongqin Qiu, Peng Li, Bin Wang

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Multi-Granularity Chinese Word Embedding.

Rongchao Yin, Quan Wang, Peng Li, Rui Li, Bin Wang

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Jointly Embedding Knowledge Graphs and Logical Rules.

Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks.

Xiaotian Jiang, Quan Wang, Peng Li, Bin Wang

Proceedings of the COLING 2016, 2016

Knowledge Base Completion via Rule-Enhanced Relational Learning.

Shu Guo, Boyang Ding, Quan Wang, Lihong Wang, Bin Wang

Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016

Knowledge Base Completion via Coupled Path Ranking.

Quan Wang, Jing Liu, Yuanfei Luo, Bin Wang, Chin-Yew Lin

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Knowledge Base Completion Using Embeddings and Rules.

Quan Wang, Bin Wang, Li Guo

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Context-Dependent Knowledge Graph Embedding.

Yuanfei Luo, Quan Wang, Bin Wang, Li Guo

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Semantically Smooth Knowledge Graph Embedding.

Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services.

Quan Wang, Jing Liu, Bin Wang, Li Guo

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Question Difficulty Estimation in Community Question Answering Services.

Jing Liu, Quan Wang, Chin-Yew Lin, Hsiao-Wuen Hon

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013