Search Results - "Tang, Jintao"

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  1. 1

    An asymmetric allelic interaction drives allele transmission bias in interspecific rice hybrids by Xie, Yongyao, Tang, Jintao, Xie, Xianrong, Li, Xiaojuan, Huang, Jianle, Fei, Yue, Han, Jingluan, Chen, Shuifu, Tang, Huiwu, Zhao, Xiucai, Tao, Dayun, Xu, Peng, Liu, Yao-Guang, Chen, Letian

    Published in Nature communications (07-06-2019)
    “…Hybrid sterility (HS) between Oryza sativa (Asian rice) and O . glaberrima (African rice) is mainly controlled by the S1 locus. However, our limited…”
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    Journal Article
  2. 2

    Multi-type factors representation learning for deep learning-based knowledge tracing by He, Liangliang, Tang, Jintao, Li, Xiao, Wang, Pancheng, Chen, Feng, Wang, Ting

    Published in World wide web (Bussum) (01-05-2022)
    “…Knowledge Tracing (KT) refers to the problem of predicting future learner performance given their historical interactions with e-learning platforms. Recent…”
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    Journal Article
  3. 3

    Suppression or knockout of SaF/SaM overcomes the Sa‐mediated hybrid male sterility in rice by Xie, Yongyao, Niu, Baixiao, Long, Yunming, Li, Gousi, Tang, Jintao, Zhang, Yaling, Ren, Ding, Liu, Yao‐Guang, Chen, Letian

    Published in Journal of integrative plant biology (01-09-2017)
    “…Hybrids between the indica and japonica subspecies of rice (Oryza sativa) are usually sterile, which hinders utilization of heterosis in the inter‐subspecific…”
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    Journal Article
  4. 4

    Off-target effects and the solution by Tang, Jintao, Chen, Letian, Liu, Yao-Guang

    Published in Nature plants (01-04-2019)
    “…Adenine base editors (ABEs) and cytosine base editors (CBEs) are powerful tools for targeted base conversions, but their editing specificities are largely…”
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    Journal Article
  5. 5

    ToC-RWG: Explore the Combination of Topic Model and Citation Information for Automatic Related Work Generation by Wang, Pancheng, Li, Shasha, Zhou, Haifang, Tang, Jintao, Wang, Ting

    Published in IEEE access (2020)
    “…Automatic related work generation is a new challenge in multi-document scientific summarization focusing on refining a related work section for a given…”
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    Journal Article
  6. 6

    What can rhetoric bring us? Incorporating rhetorical structure into neural related work generation by Wang, Pancheng, Li, Shasha, Tang, Jintao, Wang, Ting

    Published in Expert systems with applications (01-10-2024)
    “…The ever-increasing volume of research literature poses challenges for researchers in keeping up with related works in their fields. Automating the generation…”
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    Journal Article
  7. 7

    Leveraging multiple control codes for aspect-controllable related paper recommendation by Long, Kehan, Li, Shasha, Tang, Jintao, Wang, Ting

    Published in Information processing & management (01-01-2025)
    “…Aspect-Controllable Related Papers Recommendation (ACRPR) aims to satisfy users’ fine-grained needs for specific aspects when finding related papers. Existing…”
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    Journal Article
  8. 8

    Maximizing discrimination masking for faithful question answering with machine reading by Li, Dong, Tang, Jintao, Wang, Pancheng, Li, Shasha, Wang, Ting

    Published in Information processing & management (01-01-2025)
    “…Despite recent advancements, like Large Language Models (LLMs), in Question Answering with Machine Reading (QAMR), improving the factuality and faithfulness of…”
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    Journal Article
  9. 9

    Hybrid Projection For Encoding 360 VR Videos by Jintao Tang, Xinyu Zhang

    “…During the past five years, tons of economic 360 VR cameras (e.g., Ricoh Theta, Samsumg Gear360, LG 360, Insta 360) are sold in the market. While 360 VR videos…”
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    Conference Proceeding
  10. 10

    Plan and generate: Explicit and implicit variational augmentation for multi-document summarization of scientific articles by Wang, Pancheng, Li, Shasha, Liu, Shenling, Tang, Jintao, Wang, Ting

    Published in Information processing & management (01-07-2023)
    “…Multi-Document Summarization of Scientific articles (MDSS) is a challenging task that aims to generate concise and informative summaries for multiple…”
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    Journal Article
  11. 11

    Using semantic similarity to reduce wrong labels in distant supervision for relation extraction by Ru, Chengsen, Tang, Jintao, Li, Shasha, Xie, Songxian, Wang, Ting

    Published in Information processing & management (01-07-2018)
    “…Distant supervision (DS) has the advantage of automatically generating large amounts of labelled training data and has been widely used for relation…”
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    Journal Article
  12. 12

    Characterization and fine-mapping of a new Asian rice selfish genetic locus S58 in Asian–African rice hybrids by Feng, Yaoming, Tang, Jintao, Liu, Ruiying, Liu, Yao-Guang, Chen, Letian, Xie, Yongyao

    Published in Theoretical and applied genetics (01-04-2023)
    “…Key message We identified and fine-mapped S58, a selfish genetic locus from Asian rice that confers hybrid male sterility in crosses between Asian and African…”
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    Journal Article
  13. 13

    Integrating fine-grained attention into multi-task learning for knowledge tracing by He, Liangliang, Li, Xiao, Wang, Pancheng, Tang, Jintao, Wang, Ting

    Published in World wide web (Bussum) (01-09-2023)
    “…Knowledge Tracing (KT) refers to the task of modeling learners’ various knowledge state given their past performance in e-learning platforms. Existing KT…”
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    Journal Article
  14. 14

    Fusing structural information with knowledge enhanced text representation for knowledge graph completion by Tang, Kang, Li, Shasha, Tang, Jintao, Li, Dong, Wang, Pancheng, Wang, Ting

    Published in Data mining and knowledge discovery (01-05-2024)
    “…Although knowledge graphs store a large number of facts in the form of triplets, they are still limited by incompleteness. Hence, Knowledge Graph Completion…”
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    Journal Article
  15. 15

    BERT-SMAP: Paying attention to Essential Terms in passage ranking beyond BERT by Lin, Dengwen, Tang, Jintao, Li, Xinyi, Pang, Kunyuan, Li, Shasha, Wang, Ting

    Published in Information processing & management (01-03-2022)
    “…Passage ranking has attracted considerable attention due to its importance in information retrieval (IR) and question answering (QA). Prior works have shown…”
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    Journal Article
  16. 16

    Research on Chinese medical named entity recognition based on collaborative cooperation of multiple neural network models by Ji, Bin, Li, Shasha, Yu, Jie, Ma, Jun, Tang, Jintao, Wu, Qingbo, Tan, Yusong, Liu, Huijun, Ji, Yun

    Published in Journal of biomedical informatics (01-04-2020)
    “…[Display omitted] •Our method is the latest SOTA on CHIP2018 datasets, win CCKS2019 competition champion.•Our method can be an effective baseline for…”
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    Journal Article
  17. 17

    Cited text spans identification with an improved balanced ensemble model by Wang, Pancheng, Li, Shasha, Zhou, Haifang, Tang, Jintao, Wang, Ting

    Published in Scientometrics (15-09-2019)
    “…Scientific summarization aims to provide condensed summary of important contributions of scientific papers. This problem has been extensively explored and…”
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    Journal Article
  18. 18

    Open Relation Extraction Based on Core Dependency Phrase Clustering by Chengsen Ru, Shasha Li, Jintao Tang, Yi Gao, Ting Wang

    “…Relation extraction is very useful for many applications and has attracted much attention. The dominant prior methods for relation extraction were supervised…”
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    Conference Proceeding
  19. 19

    Link prediction of datasets sameAS interlinking network on web of data by Haichi Liu, Ting Wang, Jintao Tang, Hong Ning, Dengping Wei

    “…In order to be considered as Linked Data, the datasets on the web must be linked to other datasets. Current studies on dataset interlinking prediction…”
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    Conference Proceeding
  20. 20

    STI PCR: An efficient method for amplification and de novo synthesis of long DNA sequences by Zhao, Zhe, Xie, Xianrong, Liu, Weizhi, Huang, Jingjing, Tan, Jiantao, Yu, Haixin, Zong, Wubei, Tang, Jintao, Zhao, Yanchang, Xue, Yang, Chu, Zhizhan, Chen, Letian, Liu, Yao-Guang

    Published in Molecular plant (04-04-2022)
    “…Despite continuous improvements, it is difficult to efficiently amplify large sequences from complex templates using current PCR methods. Here, we developed a…”
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    Journal Article