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苏劲松

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教授
- 入职时间:2011-07-25
- 所在单位:信息学院
- 学历:博士研究生毕业
- 性别:男
- 学位:工学博士学位
- 在职信息:在职
访问量:
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[141]苏劲松,Neural Machine Translation With GRU-Gated Attention Model.IEEE Transactions on Neural Networks and Learning Systems,2019,31(11):4688-4698.
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[142]孙晓帅,苏劲松.Free vqa models from knowledge inertia by pairwise inconformity learning.33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019,9316-9323.
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[143]纪荣嵘,苏劲松.Dynamic capsule attention for visual question answering.33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019,9324-9331.
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[144]苏劲松.Leveraging dependency forest for neural medical relation extraction.EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference,208-218.
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[145]苏劲松.Towards linear time neural machine translation with capsule networks.EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference,803-812.
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[146]苏劲松.Iterative dual domain adaptation for neural machine translation.EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference,845-855.
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[147]陈毅东,苏劲松.Conditional Variational Autoencoder for Sign Language Translation with Cross -Modal Alignment.THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 17,19643-19651.
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[148]苏劲松,Progressive self-supervised attention learning for aspect-level sentiment analysis.ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference,557-566.
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[149]苏劲松,Multi-domain neural machine translation with word-level domain context discrimination.Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018,447-457.
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[150]苏劲松,Simplifying neural machine translation with addition-subtraction twin-gated recurrent networks.Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018,4273-4283.