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ORCIDYubin Ge
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2020 – today
- 2024
[c20]Yubin Ge, Sullam Jeoung, Jana Diesner:
Extractive Summarization via Fine-grained Semantic Tuple Extraction. INLG 2024: 121-133- 2023
- [j7]Wanqing Xie, Yubin Ge, Site Li, Mingzhen Li, Zhenhua Guo, Xiaofeng Liu:
Inducing semantic hierarchy structure in empirical risk minimization with optimal transport measures. Neurocomputing 530: 1-10 (2023) - [c19]Yubin Ge, Sullam Jeoung, Ly Dinh, Jana Diesner:
Detection and Mitigation of the Negative Impact of Dataset Extractivity on Abstractive Summarization. ACL (Findings) 2023: 13963-13976 - [c18]Sullam Jeoung, Yubin Ge, Jana Diesner:
StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models. EMNLP 2023: 12236-12256 - [c17]Yubin Ge, Ziang Xiao, Jana Diesner, Heng Ji, Karrie Karahalios, Hari Sundaram:
What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys. PACLIC 2023: 113-124 - [i14]Sullam Jeoung, Yubin Ge, Jana Diesner:
StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models. CoRR abs/2310.13673 (2023) - 2022
- [j6]Biao Zhang, Deyi Xiong, Yubin Ge, Junfeng Yao, Hao Yue, Jinsong Su:
AAN+: Generalized Average Attention Network for Accelerating Neural Transformer. J. Artif. Intell. Res. 75: 677-708 (2022) - [j5]Hui Jiang
, Linfeng Song, Yubin Ge, Fandong Meng, Junfeng Yao, Jinsong Su:
An AST Structure Enhanced Decoder for Code Generation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 468-476 (2022) - [c16]Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su:
A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition. AAAI 2022: 11486-11494 - [i13]Yubin Ge, Ziang Xiao, Jana Diesner, Heng Ji, Karrie Karahalios, Hari Sundaram:
What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys. CoRR abs/2205.10977 (2022) - 2021
- [j4]Jinsong Su, Jialong Tang, Hui Jiang, Ziyao Lu, Yubin Ge, Linfeng Song, Deyi Xiong, Le Sun, Jiebo Luo:
Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning. Artif. Intell. 296: 103477 (2021) - [j3]Jinsong Su, Jinchang Chen, Hui Jiang, Chulun Zhou, Huan Lin, Yubin Ge, Qingqiang Wu, Yongxuan Lai:
Multi-modal neural machine translation with deep semantic interactions. Inf. Sci. 554: 47-60 (2021) - [j2]Jiali Zeng, Yongjing Yin, Yang Liu, Yubin Ge, Jinsong Su:
Domain Adaptive Meta-Learning for Dialogue State Tracking. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2493-2501 (2021) - [c15]Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio:
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. AAAI 2021: 7002-7010 - [c14]Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang:
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning. AAAI 2021: 14121-14128 - [c13]Yubin Ge, Ly Dinh, Xiaofeng Liu, Jinsong Su, Ziyao Lu, Ante Wang, Jana Diesner:
BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation. ACL/IJCNLP (1) 2021: 1466-1478 - [c12]Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su:
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings. EMNLP (1) 2021: 2407-2417 - [c11]Yubin Ge, Site Li, Xuyang Li, Fangfang Fan, Wanqing Xie, Jane You, Xiaofeng Liu:
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization. ICASSP 2021: 2835-2839 - [c10]Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu:
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation. ICCV 2021: 744-753 - [i12]Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge, Dong Yu:
Structural Information Preserving for Graph-to-Text Generation. CoRR abs/2102.06749 (2021) - [i11]Jinsong Su, Jialong Tang, Hui Jiang, Ziyao Lu, Yubin Ge, Linfeng Song, Deyi Xiong, Le Sun, Jiebo Luo:
Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning. CoRR abs/2103.03446 (2021) - [i10]Yubin Ge, Site Li, Xuyang Li, Fangfang Fan, Wanqing Xie, Jane You, Xiaofeng Liu:
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization. CoRR abs/2105.00101 (2021) - [i9]Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang:
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning. CoRR abs/2105.14796 (2021) - [i8]Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu:
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation. CoRR abs/2107.13467 (2021) - [i7]Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su:
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings. CoRR abs/2110.06446 (2021) - [i6]Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su:
A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition. CoRR abs/2112.11740 (2021) - 2020
- [c9]Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, Jiebo Luo:
Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. AAAI 2020: 9482-9489 - [c8]Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge, Dong Yu:
Structural Information Preserving for Graph-to-Text Generation. ACL 2020: 7987-7998 - [c7]Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo:
An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension. IJCAI 2020: 3794-3800 - [c6]Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo:
Dynamic Context-guided Capsule Network for Multimodal Machine Translation. ACM Multimedia 2020: 1320-1329 - [i5]Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo:
Dynamic Context-guided Capsule Network for Multimodal Machine Translation. CoRR abs/2009.02016 (2020)
2010 – 2019
- 2019
- [j1]Junmei Wang, Yubin Ge, Xiang-Qun Xie:
Development and Testing of Druglike Screening Libraries. J. Chem. Inf. Model. 59(1): 53-65 (2019) - [c5]Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo:
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis. ACL (1) 2019: 557-566 - [c4]Jiali Zeng, Yang Liu, Jinsong Su, Yubin Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo:
Iterative Dual Domain Adaptation for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 845-855 - [c3]Mengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang:
Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. IJCAI 2019: 5327-5333 - [i4]Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo:
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis. CoRR abs/1906.01213 (2019) - [i3]Mengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang:
Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. CoRR abs/1906.09320 (2019) - [i2]Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio:
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. CoRR abs/1911.07421 (2019) - [i1]Jiali Zeng, Yang Liu, Jinsong Su, Yubin Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo:
Iterative Dual Domain Adaptation for Neural Machine Translation. CoRR abs/1912.07239 (2019) - 2018
- [c2]Xiaofeng Liu, B. V. K. Vijaya Kumar, Yubin Ge, Chao Yang, Jane You, Ping Jia:
Normalized face image generation with perceptron generative adversarial networks. ISBA 2018: 1-8 - [c1]Bhargavi Paranjape, Yubin Ge, Zhen Bai, Jessica Hammer, Justine Cassell:
Towards Automatic Generation of Peer-Targeted Science Talk in Curiosity-Evoking Virtual Agent. IVA 2018: 71-78
Coauthor Index
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