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ORCIDJiawen Li 0003
Person information
- affiliation: National Cheng Kung University, Department of Computer Science and Information Engineering, Tainan, Taiwan
Other persons with the same name
- Jiawen Li — disambiguation page
- Jia Wen Li 0001
![[0000-0002-8586-9535]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8586-9535")
(aka: Jiawen Li 0001) — Guangdong Polytechnic Normal University, School of Computer Science, Guangzhou, China (and 1 more) - Jiawen Li 0002 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Jiawen Li 0004 — Shanghai University of Electric Power, School of Electronic and Information Engineering, China (and 2 more)
- Jiawen Li 0005 — Tsinghua University, Shenzhen International Graduate School, China
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Journal Articles
- 2024
[j5]Jiawen Li, Ronghui Li, Shiwen Ni, Hung-Yu Kao:
EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection. Neurocomputing 563: 126935 (2024)- [j4]Shiwen Ni, Jiawen Li, Min Yang, Hung-Yu Kao:
DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 32: 364-373 (2024) - 2022
- [j3]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media. Sensors 22(17): 6652 (2022) - 2021
- [j2]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media. IEEE Access 9: 106907-106917 (2021) - 2020
- [j1]Jiawen Li, Shiwen Ni, Hung-Yu Kao:
Birds of a Feather Rumor Together? Exploring Homogeneity and Conversation Structure in Social Media for Rumor Detection. IEEE Access 8: 212865-212875 (2020)
Conference and Workshop Papers
- 2022
- [c5]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
R-AT: Regularized Adversarial Training for Natural Language Understanding. EMNLP (Findings) 2022: 6427-6440 - 2021
- [c4]Jiawen Li, Shiwen Ni, Hung-Yu Kao:
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection. ACL/IJCNLP (Findings) 2021: 705-715 - [c3]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
True or False: Does the Deep Learning Model Learn to Detect Rumors? TAAI 2021: 119-124 - 2020
- [c2]Jiawen Li, Yudianto Sujana, Hung-Yu Kao:
Exploiting Microblog Conversation Structures to Detect Rumors. COLING 2020: 5420-5429 - [c1]Yudianto Sujana, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor. AACL/IJCNLP 2020: 18-26
Informal and Other Publications
- 2021
- [i5]Jiawen Li, Shiwen Ni, Hung-Yu Kao:
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection. CoRR abs/2107.10747 (2021) - [i4]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks. CoRR abs/2108.12805 (2021) - [i3]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Social Media with Hierarchical Adversarial Training. CoRR abs/2110.00425 (2021) - [i2]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
True or False: Does the Deep Learning Model Learn to Detect Rumors? CoRR abs/2112.00245 (2021) - 2020
- [i1]Yudianto Sujana, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor. CoRR abs/2011.00259 (2020)
Coauthor Index
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