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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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[101]苏劲松.Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation.Findings of the Association for Computational Linguistics: NAACL 2022 - Findings,2622-2632.
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[102]苏劲松.A Variational Hierarchical Model for Neural Cross-Lingual Summarization.Proceedings of the Annual Meeting of the Association for Computational Linguistics,12088-2099.
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[103]苏劲松.A Variational Hierarchical Model for Neural Cross-Lingual Summarization.PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS),2088-2099.
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[104]苏劲松,Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation.PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS),2878-2889.
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[105]苏劲松.Neutralizing Popularity Bias in Recommendation Models.SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval,2022,2623-2628.
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[106]龙飞,苏劲松.Bilingual attention based neural machine translation.APPLIED INTELLIGENCE,2021,
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[107]苏劲松.A novel multi-domain machine reading comprehension model with domain interference mitigation.Neurocomputing,2022,500791-798.
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[108]苏劲松.Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning.35th AAAI Conference on Artificial Intelligence, AAAI 2021,1614121-14128.
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[109]苏劲松.Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings.EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings,2407-2417.
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[110]苏劲松.Towards Making the Most of Dialogue Characteristics for Neural Chat Translation.EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings,67-79.
