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ORCIDFang Fang 0009
Person information
- affiliation: Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
Other persons with the same name
- Fang Fang — disambiguation page
- Fang Fang 0001 — California State University at San Marcos, Department of ISOM, CA, USA
- Fang Fang 0002 — Delft University of Technology, Institute of Applied Mathematics, The Netherlands
- Fang Fang 0003 — Peking University, Key Laboratory of Machine Perception (MoE), Beijing, China
- Fang Fang 0004 — Chongqing University of Posts & Telecommunications, School of Communication and Information Engineering, China
- Fang Fang 0005
![[0000-0002-6582-6570]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6582-6570")
— Western University, London, ON, Canada (and 2 more) - Fang Fang 0006 — Southeast University, School of Automation, MOE Key Laboratory of Measurement and Control of CSE, Nanjing, China
- Fang Fang 0007 — North China Electric Power University, School of Control and Computer Engineering, Beijing, China
- Fang Fang 0008 — China University of Geosciences, Faculty of Information Engineering, Wuhan, China
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2020 – today
- 2024
[c25]Yubing Ren, Yanan Cao, Hao Li, Yingjie Li, Zixuan ZM Ma, Fang Fang, Ping Guo, Wei Ma:
DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset. LREC/COLING 2024: 4592-4604- [c24]Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang:
Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction. ICASSP 2024: 10646-10650 - 2023
- [c23]Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma, Zheng Lin:
Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation. ACL (1) 2023: 293-306 - [c22]Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng, Qi Zhang:
Towards Better Entity Linking with Multi-View Enhanced Distillation. ACL (1) 2023: 9729-9743 - [c21]Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang:
Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction. EMNLP (Findings) 2023: 6362-6372 - [c20]Guanqun Bi, Yanan Cao, Piji Li, Yuqiang Xie, Fang Fang, Zheng Lin:
Seri: Sketching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation. ICASSP 2023: 1-5 - [c19]Yanhe Fu, Yi Liu, Yanan Cao, Yubing Ren, Qingyue Wang, Fang Fang, Cong Cao:
A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extraction. NLPCC (2) 2023: 98-110 - [i4]Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang:
Towards Better Entity Linking with Multi-View Enhanced Distillation. CoRR abs/2305.17371 (2023) - 2022
- [c18]Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li:
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. AAAI 2022: 5781-5791 - [c17]Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, Yi Liu:
CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction. COLING 2022: 2504-2514 - [c16]Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan:
Heterogeneous Graph Attention Network for Malicious Domain Detection. ICANN (2) 2022: 506-518 - 2021
- [c15]Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang:
Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences. AAAI 2021: 13134-13142 - [c14]Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang:
Deep Differential Amplifier for Extractive Summarization. ACL/IJCNLP (1) 2021: 366-376 - [c13]Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu:
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. EMNLP (1) 2021: 198-207 - [c12]Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Ruipeng Jia, Fang Fang, Shi Wang:
Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction. ICASSP 2021: 7683-7687 - [c11]Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbing Liu, Can Ma:
Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. ICCS (2) 2021: 257-270 - [c10]Zhezhou Kang, Yi Liu, Guanqun Bi, Fang Fang, Pengfei Yin:
No news is an island: Joint heterogeneous graph network for news classification. ISCC 2021: 1-7 - [c9]Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu:
Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. KSEM 2021: 101-114 - [i3]Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li:
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View. CoRR abs/2109.11800 (2021) - [i2]Ren Li, Yanan Cao, Qiannan Zhu, Xiaoxue Li, Fang Fang:
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding. CoRR abs/2110.00720 (2021) - 2020
- [c8]Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan:
DistilSum: : Distilling the Knowledge for Extractive Summarization. CIKM 2020: 2069-2072 - [c7]Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang:
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. EMNLP (1) 2020: 3622-3631 - [c6]Xiaoxue Li, Yangxi Li, Yanmin Shang, Lingling Tong, Fang Fang, Pengfei Yin, Jie Cheng, Jing Li:
DDNE: Discriminative Distance Metric Learning for Network Embedding. ICCS (1) 2020: 568-581 - [c5]Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin:
Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder. IJCNN 2020: 1-8 - [c4]Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin:
Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization. IJCNN 2020: 1-8 - [c3]Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin:
HIN: Hierarchical Inference Network for Document-Level Relation Extraction. PAKDD (1) 2020: 197-209 - [i1]Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin:
HIN: Hierarchical Inference Network for Document-Level Relation Extraction. CoRR abs/2003.12754 (2020)
2010 – 2019
- 2016
- [c2]Fang Fang, Ya Wang, Luchen Zhang, Cungen Cao:
Knowledge Extraction from Chinese Records of Cyber Attacks Based on a Semantic Grammar. KSEM 2016: 55-68 - 2015
- [c1]Liangjun Zang, Weimin Wang, Ya Wang, Fang Fang, Cong Cao, Xiaolong Wu, Qi Zhou, Ye Lu, Tingyu Li, Cungen Cao:
A Chinese Framework of Semantic Taxonomy and Description: Preliminary Experimental Evaluation Using Web Information Extraction. KSEM 2015: 275-286
Coauthor Index
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