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Jiaxin Shi
Jiaxin Shi
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Title
Cited by
Cited by
Year
Unbiased scene graph generation from biased training
K Tang, Y Niu, J Huang, J Shi, H Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
6762020
Explainable and explicit visual reasoning over scene graphs
J Shi, H Zhang, J Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2392019
Semi-supervised entity alignment via joint knowledge embedding model and cross-graph model
C Li, Y Cao, L Hou, J Shi, J Li, TS Chua
Association for Computational Linguistics, 2019
1592019
KQA pro: A dataset with explicit compositional programs for complex question answering over knowledge base
S Cao, J Shi, L Pan, L Nie, Y Xiang, L Hou, J Li, B He, H Zhang
arXiv preprint arXiv:2007.03875, 2020
103*2020
Transfernet: An effective and transparent framework for multi-hop question answering over relation graph
J Shi, S Cao, L Hou, J Li, H Zhang
arXiv preprint arXiv:2104.07302, 2021
862021
Program transfer for answering complex questions over knowledge bases
S Cao, J Shi, Z Yao, X Lv, J Yu, L Hou, J Li, Z Liu, J Xiao
arXiv preprint arXiv:2110.05743, 2021
402021
Deepchannel: Salience estimation by contrastive learning for extractive document summarization
J Shi, C Liang, L Hou, J Li, Z Liu, H Zhang
Proceedings of the AAAI conference on artificial intelligence 33 (01), 6999-7006, 2019
332019
Human motion generation: A survey
W Zhu, X Ma, D Ro, H Ci, J Zhang, J Shi, F Gao, Q Tian, Y Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
182023
GraphQ IR: Unifying the semantic parsing of graph query languages with one intermediate representation
L Nie, S Cao, J Shi, J Sun, Q Tian, L Hou, J Li, J Zhai
arXiv preprint arXiv:2205.12078, 2022
152022
TWAG: A topic-guided Wikipedia abstract generator
F Zhu, S Tu, J Shi, J Li, L Hou, T Cui
arXiv preprint arXiv:2106.15135, 2021
132021
Best: Bert pre-training for sign language recognition with coupling tokenization
W Zhao, H Hu, W Zhou, J Shi, H Li
Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 3597-3605, 2023
122023
G-map: general memory-augmented pre-trained language model for domain tasks
Z Wan, Y Yin, W Zhang, J Shi, L Shang, G Chen, X Jiang, Q Liu
arXiv preprint arXiv:2212.03613, 2022
62022
Dependency parsing via sequence generation
B Lin, Z Yao, J Shi, S Cao, B Tang, S Li, Y Luo, J Li, L Hou
Findings of the Association for Computational Linguistics: EMNLP 2022, 7339-7353, 2022
62022
HiVLP: Hierarchical vision-language pre-training for fast image-text retrieval
F Chen, X Chen, J Shi, D Zhang, J Chang, Q Tian
arXiv preprint arXiv:2205.12105, 2022
52022
Named entity recognition using a semi-supervised model based on bert and bootstrapping
Y Liu, X Li, J Shi, L Zhang, J Li
Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive …, 2021
52021
Reasoning over hierarchical question decomposition tree for explainable question answering
J Zhang, S Cao, T Zhang, X Lv, J Shi, Q Tian, J Li, L Hou
arXiv preprint arXiv:2305.15056, 2023
42023
On modeling sense relatedness in multi-prototype word embedding
Y Cao, J Li, J Shi, Z Liu, C Li
Association for Computational Linguistics, 2017
42017
Graphq ir: Unifying semantic parsing of graph query language with intermediate representation
L Nie, S Cao, J Shi, Q Tian, L Hou, J Li, J Zhai
arXiv preprint arXiv:2205.12078, 2022
32022
Learning to embed sentences using attentive recursive trees
J Shi, L Hou, J Li, Z Liu, H Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6991-6998, 2019
32019
Preparing Lessons for Progressive Training on Language Models
Y Pan, Y Yuan, Y Yin, J Shi, Z Xu, M Zhang, L Shang, X Jiang, Q Liu
arXiv preprint arXiv:2401.09192, 2024
12024
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Articles 1–20