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Quan Wang 0002
Person information
- affiliation: University of Science and Technology of China, Beijing Research Institute, China
- affiliation (former): Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- affiliation (former): University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China
- affiliation (PhD 2013): Peking University, Beijing, China
Other persons with the same name
- Quan Wang — disambiguation page
- Quan Wang 0001 — University of Southern California, Computer Science Department, Los Angeles, CA, USA
- Quan Wang 0003
— Yale University School of Medicine, New Haven, CT, USA
- Quan Wang 0004
- Quan Wang 0005
- Quan Wang 0006
- Quan Wang 0007
- Quan Wang 0008
- Quan Wang 0009
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2020 – today
- 2024
- [j4]Licheng Zhang
Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension. IEEE Signal Process. Lett. 31: 2650-2654 (2024) - [c53]Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao:
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. AAAI 2024: 17808-17816 - [c52]Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao:
Feature-Adaptive and Data-Scalable In-Context Learning. ACL (1) 2024: 1481-1494 - [c51]Yixing Peng, Quan Wang, Licheng Zhang, Yi Liu, Zhendong Mao:
Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering. ACL (Findings) 2024: 4763-4776 - [c50]Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao:
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. ACL (1) 2024: 6486-6517 - [c49]Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao:
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. ACL (1) 2024: 15187-15201 - [c48]Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao:
IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures. LREC/COLING 2024: 8556-8568 - [c47]Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao:
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. EMNLP 2024: 17333-17350 - [c46]Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao:
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. SemEval@NAACL 2024: 1511-1522 - [i23]Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao:
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. CoRR abs/2401.00690 (2024) - [i22]Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao:
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. CoRR abs/2404.04232 (2024) - [i21]Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao:
Feature-Adaptive and Data-Scalable In-Context Learning. CoRR abs/2405.10738 (2024) - [i20]Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao:
Enhance Lifelong Model Editing with Continuous Data-Adapter Association. CoRR abs/2408.11869 (2024) - [i19]Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao:
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. CoRR abs/2410.00508 (2024) - 2023
- [c45]Jingxuan Han, Quan Wang, Licheng Zhang, Weidong Chen, Yan Song, Zhendong Mao:
Text Style Transfer with Contrastive Transfer Pattern Mining. ACL (1) 2023: 7914-7927 - [c44]Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, Zhendong Mao:
S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. ACL (1) 2023: 8186-8207 - [c43]Mengqi Huang, Zhendong Mao, Quan Wang, Yongdong Zhang:
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation. CVPR 2023: 2002-2011 - [c42]Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao:
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation. EMNLP 2023: 2917-2928 - [c41]Jiahao Li, Quan Wang, Chiwei Zhu, Zhendong Mao, Yongdong Zhang:
Grammatical Error Correction via Mixed-Grained Weighted Training. EMNLP (Findings) 2023: 6027-6037 - [c40]Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao:
Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation. EMNLP 2023: 8233-8248 - [c39]Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao:
On the Calibration of Large Language Models and Alignment. EMNLP (Findings) 2023: 9778-9795 - [c38]Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao:
E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. EMNLP 2023: 10568-10586 - [c37]Peijian Gu, Yaozong Shen, Lijie Wang, Quan Wang, Hua Wu, Zhendong Mao:
IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding. EMNLP (Findings) 2023: 11966-11977 - [c36]Jiaang Li, Quan Wang, Zhendong Mao:
Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. ICASSP 2023: 1-5 - [c35]Yixing Peng, Quan Wang, Zhendong Mao, Yong-Dong Zhang:
SADE: A Self-Adaptive Expert for Multi-Dataset Question Answering. ICASSP 2023: 1-5 - [c34]Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang:
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. ICLR 2023 - [i18]Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang:
kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. CoRR abs/2303.13824 (2023) - [i17]Jiaang Li, Quan Wang, Zhendong Mao:
Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. CoRR abs/2304.00215 (2023) - [i16]Mengqi Huang, Zhendong Mao, Quan Wang, Yongdong Zhang:
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation. CoRR abs/2305.13607 (2023) - [i15]Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao:
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. CoRR abs/2305.14688 (2023) - [i14]Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao:
Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation. CoRR abs/2310.14892 (2023) - [i13]Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao:
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation. CoRR abs/2310.15797 (2023) - [i12]Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao:
On the Calibration of Large Language Models and Alignment. CoRR abs/2311.13240 (2023) - [i11]Jiahao Li, Quan Wang, Chiwei Zhu, Zhendong Mao, Yongdong Zhang:
Grammatical Error Correction via Mixed-Grained Weighted Training. CoRR abs/2311.13848 (2023) - [i10]Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao:
E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. CoRR abs/2311.15016 (2023) - 2022
- [c33]Yu Xia, Quan Wang, Yajuan Lyu, Yong Zhu, Wenhao Wu, Sujian Li, Dai Dai:
Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples. ACL (Findings) 2022: 2291-2300 - [c32]Chunyun Zhang, Xi Zhang, Quan Wang, Jiayi Liang, Ge Zhang, Sanchuan Guo, Wenyu Zang, Yongdong Zhang:
Abusive Language Detection with Graph based Multi-task Learning. IEEE Big Data 2022: 675-684 - [c31]Kun Zhang
Negative-Aware Attention Framework for Image-Text Matching. CVPR 2022: 15640-15649 - [c30]Jiahao Li
Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity. EMNLP 2022: 4275-4286 - [c29]Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang:
MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection. IJCAI 2022: 2413-2419 - [c28]Mengqi Huang, Zhendong Mao, Penghui Wang, Quan Wang, Yongdong Zhang:
DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation. ACM Multimedia 2022: 4345-4354 - [c27]Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao:
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. NAACL-HLT 2022: 659-665 - [i9]Mengqi Huang, Zhendong Mao, Penghui Wang, Quan Wang, Yongdong Zhang:
DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation. CoRR abs/2209.01339 (2022) - [i8]Jiahao Li, Quan Wang, Zhendong Mao, Junbo Guo, Yanyan Yang, Yongdong Zhang:
Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity. CoRR abs/2210.10996 (2022) - 2021
- [j3]Licheng Zhang
Review and Arrange: Curriculum Learning for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3307-3320 (2021) - [c26]Zheren Fu, Yan Li, Zhendong Mao, Quan Wang, Yongdong Zhang:
Deep Metric Learning with Self-Supervised Ranking. AAAI 2021: 1370-1378 - [c25]Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao:
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. AAAI 2021: 14149-14157 - [c24]Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu:
Link Prediction on N-ary Relational Facts: A Graph-based Approach. ACL/IJCNLP (Findings) 2021: 396-407 - [c23]Songtai Dai, Quan Wang, Yajuan Lyu, Yong Zhu:
BDKG at MEDIQA 2021: System Report for the Radiology Report Summarization Task. BioNLP@NAACL-HLT 2021: 103-111 - [i7]Benfeng Xu
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. CoRR abs/2102.10249 (2021) - [i6]Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu:
Link Prediction on N-ary Relational Facts: A Graph-based Approach. CoRR abs/2105.08476 (2021) - [i5]Quan Wang, Songtai Dai, Benfeng Xu
Building Chinese Biomedical Language Models via Multi-Level Text Discrimination. CoRR abs/2110.07244 (2021) - 2020
- [c22]Benfeng Xu
Curriculum Learning for Natural Language Understanding. ACL 2020: 6095-6104 - [c21]Fayuan Li, Weihua Peng, Yuguang Chen, Quan Wang, Lu Pan, Yajuan Lyu, Yong Zhu:
Event Extraction as Multi-turn Question Answering. EMNLP (Findings) 2020: 829-838 - [c20]Xinyu Li, Fayuan Li, Lu Pan, Yuguang Chen, Weihua Peng, Quan Wang, Yajuan Lyu, Yong Zhu:
DuEE: A Large-Scale Dataset for Chinese Event Extraction in Real-World Scenarios. NLPCC (2) 2020: 534-545
2010 – 2019
- 2019
- [c19]An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li:
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension. ACL (1) 2019: 2346-2357 - [c18]Hongyu Li
D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension. MRQA@EMNLP 2019: 212-219 - [c17]Xiaotian Jiang, Quan Wang, Bin Wang:
Adaptive Convolution for Multi-Relational Learning. NAACL-HLT (1) 2019: 978-987 - [c16]Quan Wang, Wenquan Wu, Yabing Shi, Hongyu Li, Zhen Guo, Wei He, Hongyu Liu, Ying Chen, Yajuan Lyu, Hua Wu:
An Overview of the 2019 Language and Intelligence Challenge. NLPCC (2) 2019: 818-828 - [e1]Jun Zhao, Frank van Harmelen
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers. Communications in Computer and Information Science 957, Springer 2019, ISBN 978-981-13-3145-9 [contents] - [i4]Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu:
CoKE: Contextualized Knowledge Graph Embedding. CoRR abs/1911.02168 (2019) - 2018
- [c15]Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
Knowledge Graph Embedding With Iterative Guidance From Soft Rules. AAAI 2018: 4816-4823 - [c14]Boyang Ding, Quan Wang, Bin Wang, Li Guo:
Improving Knowledge Graph Embedding Using Simple Constraints. ACL (1) 2018: 110-121 - [c13]Zhendong Mao, Quan Wang, Yongdong Zhang, Bin Wang:
Post Tuned Hashing: A New Approach to Indexing High-dimensional Data. ACM Multimedia 2018: 834-842 - [i3]Boyang Ding, Quan Wang, Bin Wang, Li Guo:
Improving Knowledge Graph Embedding Using Simple Constraints. CoRR abs/1805.02408 (2018) - 2017
- [j2]Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo:
SSE: Semantically Smooth Embedding for Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 29(4): 884-897 (2017) - [j1]Quan Wang
Knowledge Graph Embedding: A Survey of Approaches and Applications. IEEE Trans. Knowl. Data Eng. 29(12): 2724-2743 (2017) - [c12]Xiaotian Jiang, Quan Wang, Baoyuan Qi, Yongqin Qiu, Peng Li, Bin Wang:
Attentive Path Combination for Knowledge Graph Completion. ACML 2017: 590-605 - [c11]Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai:
Constructing and Embedding Abstract Event Causality Networks from Text Snippets. WSDM 2017: 335-344 - [i2]Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
Knowledge Graph Embedding with Iterative Guidance from Soft Rules. CoRR abs/1711.11231 (2017) - [i1]Boyang Ding, Quan Wang, Bin Wang:
Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017. CoRR abs/1712.08356 (2017) - 2016
- [c10]Quan Wang, Jing Liu, Yuanfei Luo, Bin Wang, Chin-Yew Lin:
Knowledge Base Completion via Coupled Path Ranking. ACL (1) 2016 - [c9]Shu Guo, Boyang Ding, Quan Wang, Lihong Wang, Bin Wang:
Knowledge Base Completion via Rule-Enhanced Relational Learning. CCKS 2016: 219-227 - [c8]Xiaotian Jiang, Quan Wang, Peng Li, Bin Wang:
Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks. COLING 2016: 1471-1480 - [c7]Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
Jointly Embedding Knowledge Graphs and Logical Rules. EMNLP 2016: 192-202 - [c6]Rongchao Yin, Quan Wang, Peng Li, Rui Li, Bin Wang:
Multi-Granularity Chinese Word Embedding. EMNLP 2016: 981-986 - 2015
- [c5]Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo:
Semantically Smooth Knowledge Graph Embedding. ACL (1) 2015: 84-94 - [c4]Yuanfei Luo, Quan Wang, Bin Wang, Li Guo:
Context-Dependent Knowledge Graph Embedding. EMNLP 2015: 1656-1661 - [c3]Quan Wang, Bin Wang, Li Guo:
Knowledge Base Completion Using Embeddings and Rules. IJCAI 2015: 1859-1866 - 2014
- [c2]Quan Wang, Jing Liu, Bin Wang, Li Guo:
A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services. EMNLP 2014: 1115-1126 - 2013
- [c1]Jing Liu, Quan Wang, Chin-Yew Lin, Hsiao-Wuen Hon:
Question Difficulty Estimation in Community Question Answering Services. EMNLP 2013: 85-90
Coauthor Index
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last updated on 2024-12-15 01:27 CET by the dblp team
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