![]()
苏劲松
-
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：
-
[1]苏劲松.Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation.arXiv,2024,
-
[2]苏劲松.Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation Systems.SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,2024,667-676.
-
[3]苏劲松.LiteSearch: Efficacious Tree Search for LLM.arXiv,2024,
-
[4]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.
-
[5]苏劲松,Response Enhanced Semi-supervised Dialogue Query Generation.THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 16,18307-18315.
-
[6]林琛,苏劲松.Code-Aware Cross-Program Transfer Hyperparameter Optimization.THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 9,10297-10305.
-
[7]黄晨曦,苏劲松.LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning.THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 4,5169-5177.
-
[8]苏劲松.Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction.PROCEEDINGS OF THE THIRTY-SECOND INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2023,5278-5286.
-
[9]苏劲松.Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation.Findings of the Association for Computational Linguistics: NAACL 2024 - Findings,2182-2193.
-
[10]苏劲松.Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing.arXiv,2024,
