Yiping Song   宋伊萍 Assistant Research Fellow National University of Defense Technology (NUDT). Email: songyiping [AT] nudt.edu.cn [Google Scholar]

Biography

Dr. Yiping Song is an Assistant Research Fellow at the National University of Defense Technology. Yiping received her BS degree in 2015 from Nanjing University, supervised by Dr. Dechuan Zhan. She received her Ph.D. degree in 2020 from Peking University, supervised by Prof. Ming Zhang, Dr. Rui Yan, and Dr. Lili Mou. She also visited University of Illinois at Urbana-Champaign(UIUC) for one year, supervised by Prof. Zhaicheng Xiang. Her research interests include natural language processing and text generation. She has publications at top conferences and journals, including AAAI, ACL, CIKM, COLING, ICASSP, IJCAI, INTERSPEECH. Recently, she has been awarded the title of "Young Talent of NUDT", supervised by Prof. Huaimin Wang and Prof. Kenli Li. Yiping is always looking for highly self-motivated students with a strong passion for scientific research. If you are interested, contact her via songyiping@nudt.edu.cn.

Interests

I have a broad interest in natural language processing and machine learning. Recently, I am interested in few-shot text generation and multi-modal generation.

Publications

• Building Conversational Diagnosis Systems for Fine-grained Diseases using Few Annotated Data.
  Yiping Song Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie
  International Conference on Neural Information Processing, 2022 (ICONIP 2022, CCF-C).
  


• Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation.
  Yiping Song, Zheng Xie, Jianping Li, Luchen Liu, Ming Zhang, Zhiliang Tian
  IEEE International Conference on Acoustics, Speech and Signal Processing, 2022 (ICASSP 2022, CCF-B).
  


• Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation.
  Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin Zhang
  Annual Meeting of the Association for Computational Linguistics, 2022 (ACL 2022, CCF-A).
  


• Emotion-aware Multimodal Pre-training for Image-grounded Emotional Response Generation.
  Zhiliang Tian, Zhihua Wen, Zhenghao Wu, Yiping Song, Jintao Tang, Dongsheng Li, Nevin L. Zhang
  International Conference on Database Systems for Advanced Applications, 2022 (DASFAA 2022, CCF-B).
  


• DisenCite: Graph-based Disentangled Representation Learning for Context-specific Citation Generation.
  Yifan Wang, Yiping Song*, Shuan Li, Wei Ju, Ming Zhang, Sheng Wang
  AAAI Conference on Artificial Intelligence, 2022 (AAAI 2022, CCF-A).
  


• HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors.
  Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang
  IEEE World Congress on Computational Intelligence, 2022 (WCCI 2022, CCF-C).
  


• Learning to classify relations between entities from noisy data - A meta instance reweighting approach.
  Zhenzhen Li , Jian-Yun Nie, Yiping Song, Pan Du, Dongsheng Li, Sheng Wang, Ming Zhang
  Expert Systems with Applications, 2022 (ESWA 2022, SCI).
  


• Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks.
  Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang
  AAAI Conference on Artificial Intelligence, 2021 (AAAI 2021, CCF-A).
  


• Sentiment-aware Emoji Insertion via Sequence Tagging.
  Fuqiang Lin, Yiping Song, Xingkong Ma, Erxue Min, Bo Liu
  IEEE Transactions on Multimedia, 2021 (IEEE MM 2021, SCI).
  


• Learning to Customize Language Model for Personalized Conversation Systems.
  Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang
  Annual Meeting of the Association for Computational Linguistics, 2020 (ACL 2020, CCF-A).
  


• Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation.
  Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang
  Annual Meeting of the Association for Computational Linguistics, 2020 (ACL 2020, CCF-A).
  


• An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.
  Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan
  International Joint Conference on Artificial Intelligence, 2018 (IJCAI 2018, CCF-A).
  


• Towards a Neural Conversation Model with Diversity Net Using Determinantal Point Processes.
  Yiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang
  AAAI Conference on Artificial Intelligence, 2018 (AAAI 2018, CCF-A).
  


• How to Make Contexts More Useful? An Empirical Study to Context-Aware Neural Conversation Models.
  Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng, Dongyan Zhao
  Annual Meeting of the Association for Computational Linguistics, 2017 (ACL 2017, CCF-A).
  


• Diversifying Neural Conversation Model with Maximal Marginal Relevance.
  Yiping Song, Zhiliang Tian, Dongyan Zhao, Ming Zhang and Rui Yan
  International Joint Conference on Natural Language Processing, 2017 (IJCNLP 2017, CCF-C).
  


• Dialogue Session Segmentation by Embedding-Enhanced TextTiling.
  Yiping Song, Lili Mou, Rui Yan, Li Yi, Zi'nan Zhu, Xiaohua Hu, Ming Zhang
  Annual Conference of the International Speech Communication Association, 2016 (INTERSPEECH 2016, CCF-C).
  


• Learning to Respond with Deep Neural Networks for Retrieval based Human-Computer Conversation System.
  Rui Yan, Yiping Song, Hua Wu
  Special Interest Group on Information Retrieval, 2016 (SIGIR 2016, CCF-A).
  


• Sequence to backward and forward sequences: A content-introducing approach to generative short-text conversation.
  Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
  (International Conference on Computational Linguistics, 2016 (COLING 2016, CCF-B).
  


• "Shall I Be Your Chat Companion?" Towards an Online Human-Computer Conversation System.
  Rui Yan, Yiping Song, Xiangyang Zhou, Hua Wu
  Conference on Information and Knowledge Management, 2016 (CIKM 2016, CCF-B).
  


• Opportunities or Risks to Reduce Labor Force in Crowdsourcing Translation? Characterizing Cost v.s. Quality in Balance.
  Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, Xiaohua Hu
  International Joint Conference on Artificial Intelligence, 2015 (IJCAI 2015, CCF-A).
  

* denotes the corresponding author

Awards & Scholarship

• Young Talent (青年英才), NUDT, 2022

• Teaching Matches of Military Academies. First Prize, 2022

• Excellent Doctoral Dissertations of ACM China (The Only Winner in Beijing Chapter), 2021

• Outstanding Graduates of Peking University, Peking University, 2020

• Presidential Scholarship, Peking University, 2018

• National Scholarship, Peking University, 2016

• Outstanding Student of Peking University, Peking University, 2016 & 2018

Academic Services

• Conference Senior PC:

  AAAI

• Conference PC & Reviewer:

  NeurIPS, ICLR, ACL, UAI, AAAI, COLING, NLPCC

• Journal Reviewer:

  Neurocomputing, Knowledge-Based Systems