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ORCIDYufan Jiang
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2020 – today
- 2024
[j2]Pianpian Yang, Yufan Jiang, Yuxi Lin
, Shuang Geng, Rui Wang:
Interactive vs transactional: how social media ads engage consumers with disparate regulatory orientation and lay rationalism. Ind. Manag. Data Syst. 124(10): 2847-2869 (2024)- [c20]Yufan Jiang, Fei Mei, Tianxiang Dai, Yong Li:
SiGBDT: Large-Scale Gradient Boosting Decision Tree Training via Function Secret Sharing. AsiaCCS 2024 - [c19]Tianxiang Dai, Yufan Jiang, Yong Li, Fei Mei:
NodeGuard: A Highly Efficient Two-Party Computation Framework for Training Large-Scale Gradient Boosting Decision Tree. SP (Workshops) 2024: 95-103 - [i20]Yufan Jiang, Qiaozhi He, Xiaomin Zhuang, Zhihua Wu:
Code Comparison Tuning for Code Large Language Models. CoRR abs/2403.19121 (2024) - [i19]Chenhao Cui, Yufan Jiang, Shuangzhi Wu, Zhoujun Li:
Transfer Learning Enhanced Single-choice Decision for Multi-choice Question Answering. CoRR abs/2404.17949 (2024) - [i18]Xiaomin Zhuang, Yufan Jiang, Qiaozhi He, Zhihua Wu:
ChuXin: 1.6B Technical Report. CoRR abs/2405.04828 (2024) - [i17]Dong Han, Yufan Jiang, Yong Li, Ricardo Mendes, Joachim Denzler:
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing. CoRR abs/2407.05045 (2024) - [i16]Tianxiang Dai, Yufan Jiang, Yong Li, Fei Mei:
NodeGuard: A Highly Efficient Two-Party Computation Framework for Training Large-Scale Gradient Boosting Decision Tree. IACR Cryptol. ePrint Arch. 2024: 535 (2024) - 2023
- [c18]Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou:
Soft Language Clustering for Multilingual Model Pre-training. ACL (1) 2023: 7021-7035 - [c17]Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Yunbo Cao, Zhifang Sui:
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. EMNLP (Findings) 2023: 6540-6558 - [c16]Qishuai Liu, Yufan Jiang, Ying Li:
A Sampling-based Next-Best-View Path Planner for Environment Exploration. ICMRE 2023: 128-132 - [c15]Tianxiang Dai, Li Duan, Yufan Jiang, Yong Li, Fei Mei, Yulian Sun:
Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU. NordSec 2023: 330-349 - [i15]Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou:
Soft Language Clustering for Multilingual Model Pre-training. CoRR abs/2306.07610 (2023) - [i14]Yufan Jiang, Qiaozhi He, Xiaomin Zhuang, Zhihua Wu, Kunpeng Wang, Wenlai Zhao, Guangwen Yang:
RecycleGPT: An Autoregressive Language Model with Recyclable Module. CoRR abs/2308.03421 (2023) - [i13]Tianxiang Dai, Li Duan, Yufan Jiang, Yong Li, Fei Mei, Yulian Sun:
Force: Making 4PC > 4 × PC in Privacy Preserving Machine Learning on GPU. IACR Cryptol. ePrint Arch. 2023: 493 (2023) - 2022
- [j1]Shiguang Wen, Yufan Jiang, Ben Cui, Ke Gao, Fei Wang:
A Hierarchical Path Planning Approach with Multi-SARSA Based on Topological Map. Sensors 22(6): 2367 (2022) - [c14]Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Yongjing Yin, Mu Li:
Task-guided Disentangled Tuning for Pretrained Language Models. ACL (Findings) 2022: 3126-3137 - [c13]Xinnian Liang, Jing Li, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Mu Li, Zhoujun Li:
An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework Based on Semantic Blocks. COLING 2022: 6415-6425 - [c12]Jiali Zeng, Yufan Jiang, Yongjing Yin, Xu Wang, Binghuai Lin, Yunbo Cao:
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition. EMNLP (Findings) 2022: 1837-1843 - [c11]Jiali Zeng, Yongjing Yin, Yufan Jiang, Shuangzhi Wu, Yunbo Cao:
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding. EMNLP (Findings) 2022: 7042-7053 - [c10]Qishuai Liu, Yufan Jiang, Ying Li:
Indoor Navigation System of Mobile Robot with Trajectory Optimization. MMAR 2022: 436-441 - [i12]Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Yongjing Yin, Mu Li:
Task-guided Disentangled Tuning for Pretrained Language Models. CoRR abs/2203.11431 (2022) - [i11]Xinnian Liang, Jing Li, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Mu Li, Zhoujun Li:
An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework based on Semantic Blocks. CoRR abs/2208.08253 (2022) - [i10]Xinnian Liang, Chenhao Cui, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Zhoujun Li:
Modeling Paragraph-Level Vision-Language Semantic Alignment for Multi-Modal Summarization. CoRR abs/2208.11303 (2022) - [i9]Jiali Zeng, Yongjing Yin, Yufan Jiang, Shuangzhi Wu, Yunbo Cao:
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding. CoRR abs/2211.03348 (2022) - [i8]Jiali Zeng, Yufan Jiang, Yongjing Yin, Xu Wang, Binghuai Lin, Yunbo Cao:
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition. CoRR abs/2211.08104 (2022) - [i7]Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Zhifang Sui, Yunbo Cao:
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. CoRR abs/2212.07112 (2022) - [i6]Li Duan, Yufan Jiang, Yong Li, Jörn Müller-Quade, Andy Rupp:
Security Against Honorific Adversaries: Efficient MPC with Server-aided Public Verifiability. IACR Cryptol. ePrint Arch. 2022: 606 (2022) - 2021
- [c9]Jiali Zeng, Shuangzhi Wu, Yongjing Yin, Yufan Jiang, Mu Li:
Recurrent Attention for Neural Machine Translation. EMNLP (1) 2021: 3216-3225 - [c8]Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Mu Li:
Enhanced Few-Shot Learning with Multiple-Pattern-Exploiting Training. NLPCC (2) 2021: 388-399 - 2020
- [c7]Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. ACL 2020: 3512-3518 - [c6]Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Learning Architectures from an Extended Search Space for Language Modeling. ACL 2020: 6629-6639 - [c5]Chen Xu, Bojie Hu, Yufan Jiang, Kai Feng, Zeyang Wang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu:
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation. COLING 2020: 3977-3989 - [c4]Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang, Jingbo Zhu:
Shallow-to-Deep Training for Neural Machine Translation. EMNLP (1) 2020: 995-1005 - [i5]Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Learning Architectures from an Extended Search Space for Language Modeling. CoRR abs/2005.02593 (2020) - [i4]Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. CoRR abs/2005.03393 (2020) - [i3]Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang, Jingbo Zhu:
Shallow-to-Deep Training for Neural Machine Translation. CoRR abs/2010.03737 (2020) - [i2]Yufan Jiang, Shuangzhi Wu, Jing Gong, Yahui Cheng, Peng Meng, Weiliang Lin, Zhibo Chen, Mu Li:
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning. CoRR abs/2011.03292 (2020) - [i1]Chen Xu, Bojie Hu, Yufan Jiang, Kai Feng, Zeyang Wang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu:
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation. CoRR abs/2011.14608 (2020)
2010 – 2019
- 2019
- [c3]Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition. EMNLP/IJCNLP (1) 2019: 3583-3588 - 2017
- [c2]Yufan Jiang, Qing Hui:
Kalman filter with diffusion strategies for detecting power grid false data injection attacks. EIT 2017: 254-259
1990 – 1999
- 1998
- [c1]Hansjoerg Kuenzli, Freddy Deppner, Karl Heuberger, Yufan Jiang:
Minitargets: a new dimension in print quality control. Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts 1998: 286-291
Coauthor Index
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