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Zhijing Wu 0002
Person information
- unicode name: 吴至婧
- affiliation: Tsinghua University, Department of Computer Science and Technology, Department of Computer Science and Technology, China
- affiliation: Beijing National Research Center for Information Science and Technology (BNRist), China
- not to be confused with: Zhijing Wu 0001
Other persons with the same name
- Zhijing Wu 0001
— Beijing Institute of Technology, Beijing, China (and 1 more)
- Zhijing Wu 0003
- Zhijing Wu 0004 — Tongji University, College of Zhejiang, Jiaxing, China
- Zhijing Wu 0005 — Xidian University, School of Microelectronics, Xi'an, China
- Zhijing Wu 0006 — Guilin University of Technology, College of Information Science and Engineering, China
- Zhijing Wu 0007 — Fudan University, Shanghai, China
- Zhijing Wu 0008 — University of Cambridge, UK
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2020 – today
- 2023
- [j3]Zhijing Wu, Hua Xu:
Trustworthy machine reading comprehension with conditional adversarial calibration. Appl. Intell. 53(11): 14298-14315 (2023) - [j2]Jingliang Fang, Hua Xu, Zhijing Wu, Kai Gao, Xiaoyin Che, Haotian Hui:
Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension. Intell. Syst. Appl. 20: 200287 (2023) - 2022
- [c3]Zhijing Wu, Jingliang Fang, Hua Xu, Kai Gao:
An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models. CIKM 2022: 5044-5048 - [c2]Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao:
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. NAACL-HLT (Findings) 2022: 2330-2339 - [i1]Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao:
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. CoRR abs/2208.05217 (2022) - 2020
- [j1]Zhijing Wu, Hua Xu:
Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction. Knowl. Based Syst. 203: 106075 (2020) - [c1]Zhijing Wu, Hua Xu:
A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract). AAAI 2020: 13963-13964
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