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冯洋  研究员  


                                        
研究方向：

                                        
所属部门：智能信息处理重点实验室

                                        
导师类别：博导计算机应用技术

                                        
联系方式：fengyang@ict.ac.cn

                                        
个人网页：http://people.ucas.edu.cn/~yangfeng?language=en

                                    

                                

                            


                        

                    

                

            

            

                

                    

                        

                            

                                
简       历：

                                

                                    
冯洋，中国科学院计算技术研究所 研究员、博士生导师、自然语言处理团队负责人、“新百星人才引进计划”入选者，计算机学会杰出会员、人工智能学会首批杰出会员。在中科院计算所获得博士学位后，先后前往谢菲尔德大学和南加州大学信息科学研究所（USC/ISI）开展研究工作。担任中文信息学会青年工作委员会副主任、计算语言学专委会执行委员、ACL Rolling Review常任高级领域主席，多次担任ACL/EMNLP等国内外会议（高级）领域主席。获得国内首个“ACL最佳论文奖”，获人工智能学会“杰出贡献奖”、CCF自然语言处理专委会“青年新锐奖”、“钱伟长中文信息处理科学技术奖-汉王青年创新奖”一等奖，领导研发了百聆大模型并开放试用（https://nlp.ict.ac.cn/bayling），作为项目负责人主持国家重点研发计划、国家自然科学基金项目等，与华为、腾讯、百度、字节跳动等公司开展合作研究。
2017年加入计算所后，指导及联合指导的学生获得“ACL最佳论文奖”（ACL开办50多年来国内首次）、“中国中文信息学会优秀博士学位论文”、“世界人工智能大会青年优秀论文奖”、“北京市优秀毕业生”、“腾讯犀牛鸟精英人才培养计划奖学金”等奖项，1人入围“CCF博士学位论文奖励计划”（共18人入围），有2人分别于直博三年级获得中科院计算所“所长特别奖（夏培肃奖）”和“所长特别奖”。支持学生参与学术服务和学术分享，指导的学生担任中文信息学会青工委学生工作委员会主任、国际会议ACL/NAACL/EACL ARR的领域主席，多人次担任全国性学术会议的程序委员会主席、学生研讨会主席，在国际顶级会议EMNLP举办3小时时长的Tutorial，作为国内唯一学者受邀参加国际对话评估研讨会，多人受邀在全国性学术会议、学术社区、企业等进行报告分享。


                                

                            

                            

                                
主要论著：

                                

                                    
  • Shoutao Guo, Shaolei Zhang, Yang Feng. Glancing Future for Simutaneous Machine Translation. In Proceedings of ICASSP 2024. 
  • Longxiang Liu, Xiuxing Li, Yang Feng. TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling. In Proceedings of AAAI 2024. 
  • Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng. Non-autoregressive Streaming Transformer for Simultaneous Translation. In Proceedings of EMNLP 2023. 
  • Wenyu Guo, Qingkai Fang, Dong Yu, Yang Feng. Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation. In Proceedings of EMNLP 2023. 
  • Shoutao Guo, Shaolei Zhang, Yang Feng. Simultaneous Machine Translation with Tailored Reference. In Findings of EMNLP 2023. 
  • Langlin Huang, Shuhao Gu, Zhuocheng Zhang, Yang Feng. Enhancing Neural Machine Translation with Semantic Units. In Findings of EMNLP 2023. 
  • Zhuocheng Zhang, Shuhao Gu, Min zhang, Yang Feng. Scaling Law for Document Neural Machine Translation. In Findings of EMNLP 2023. 
  • Zhuocheng Zhang, Shuhao Gu, Min zhang, Yang Feng. Addressing the Length Bias Challenge in Document-Level Neural Machine Translation. In Findings of EMNLP 2023. 
  • Qingkai Fang, Yan Zhou, Yang Feng. DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation. In NeurIPS 2023. 
  • Shaolei Zhang, Yang Feng. Unified Segment-to-Segment Framework for Simultaneous Sequence Generation. In NeurIPS 2023. 
  • Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng. Beyond MLE: Convex Loss for Text Generation. In NeurIPS 2023. 
  • Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng. Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. In NeurIPS 2023. 
  • Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, Zhengrui Ma, Yan Zhou, Langlin Huang, Mengyu Bu, Shangtong Gui, Yunji Chen, Xilin Chen, Yang Feng.  BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models. In arXiv:2306.10968. 
  • Koichiro Yoshino, Yun-Nung Chen, Paul Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F D'Haro, Rafael Banchs, Alexander Rudnicky. Overview of the Tenth Dialog System Technology Challenge: DSTC10. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). 
  • Qingkai Fang, Yang Feng. Understanding and Bridging the Modality Gap for Speech Translation. In Proceedings of ACL 2023. 
  • Qingkai Fang, Yang Feng. Back Translation for Speech-to-text Translation Without Transcripts. In Proceedings of ACL 2023. 
  • Shoutao Guo, Shaolei Zhang, Yang Feng. Learning Optimal Policy for Simultaneous Machine Translationvia Binary Search. In Proceedings of ACL 2023. 
  • Yan Zhou, Qingkai Fang, Yang Feng. CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation. In Proceedings of ACL 2023. 
  • Shaolei Zhang, Yang Feng. End-to-End Simultaneous Speech Translation with Differentiable Segmentation. In Findings of ACL 2023. 
  • Shaolei Zhang, Yang Feng. Hidden Markov Transformer for Simultaneous Machine Translation. In Proceedings of ICLR 2023. 
  • Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang and Yang Feng. Fuzzy Alignments in Directed Acyclic Graph for Non-autoregressive Machine Translation. In Proceedings of ICLR 2023. 
  • Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng. Rephrasing the Reference for Non-Autoregressive Machine Translation. In Proceedings of AAAI 2023.


                                

                            

                            

                                
科研项目：

                                

                                    
                                

                            

                            

                                
获奖及荣誉：

                                

                                    
· “钱伟长中文信息处理科学技术奖-汉王青年创新奖”一等奖;
· CCF自然语言处理专委会“青年新锐奖”；
· 人工智能学会“杰出贡献奖”；
· ACL最佳长文奖；
· 计算所2019年度“卓越之星”；
· 入选计算所“新百星人才引进计划”。