Su Zhu

PhD student in Computer Science and Technology, Shanghai Jiao Tong University

My name is Su Zhu (朱苏), currently pursuing PhD degree at Shanghai Jiao Tong University, supervised by Kai Yu.

Email: zhusu.china[at]gmail.com
Research interets: Spoken Language Understanding, Goal-oriented Dialogue System, Natural Language Processing, Deep Learning.

About my mentor

Please see Kai Yu.


Education

  • Ph.D. student in Computer Science and Technology
    04/2016-present. Shanghai Jiao Tong University, Department of Computer Science and Technology

  • M.E. in Computer Science and Technology
    09/2013-03/2016. Shanghai Jiao Tong University, Department of Computer Science and Technology

  • B.E in Computer Science and Technology
    09/2009-07/2013. Xi’an Jiao Tong University, Department of Computer Science and Technology


Publications

Journal Articles

  1. Kai Yu, Lu Chen, Kai Sun, Qizhe Xie and Su Zhu. Evolvable dialogue state tracking for statistical dialogue management. Frontiers of Computer Science, vol. 10, no. 2, 201-215, 2016.
  2. Kai Yu, Kai Sun, Lu Chen and Su Zhu. Constrained Markov Bayesian Polynomial for Efficient Dialogue State Tracking. IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 12, 2177-2188, 2015.
  3. Kai Yu, Lu Chen, Bo Chen, Kai Sun and Su Zhu. Cognitive Technology in Task-oriented Dialogue Systems – Concepts, Advances and Future. Chinese Journal of Computers, 2014, 37.(In Chinese)

Conference Papers

  1. Zijian Zhao*, Su Zhu* and Kai Yu. Data Augmentation with Atomic Templates for Spoken Language Understanding. 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, 2019. [Co-first author]
  2. Su Zhu, Zijian Zhao, Tiejun Zhao, Chengqing Zong and Kai Yu. CATSLU: The 1st Chinese Audio-Textual Spoken Language Understanding Challenge. In 2019 International Conference on Multimodal Interaction (ICMI ’19), Suzhou, China, 2019.
  3. Hao Li*, Chen Liu*, Su Zhu and Kai Yu. Robust Spoken Language Understanding with Acoustic and Domain Knowledge. In 2019 International Conference on Multimodal Interaction (ICMI ’19), Suzhou, China, 2019.
  4. Ruisheng Cao*, Su Zhu*, Chen Liu, Jieyu Li and Kai Yu. Semantic Parsing with Dual Learning. The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 2019. [Co-first author](Oral)
  5. Zijian Zhao, Su Zhu and Kai Yu. A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned Data. IEEE International Conference on Acoustics Speech and Signal Processing(ICASSP), Brighton, United Kingdom, 2019: 7305-7309.
  6. Su Zhu and Kai Yu. Concept Transfer Learning for Adaptive Language Understanding. In 19th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Melbourne, Australia, 2018. (Oral)
  7. Huifeng Zhang, Su Zhu, Shuai Fan and Kai Yu. Joint Spoken Language Understanding and Domain Adaptive Language Modeling. In 2018 International Conference on Intelligence Science and Big Data Engineering (IScIDE), Lanzhou, China, 2018. (Oral)
  8. Su Zhu, Ouyu Lan and Kai Yu. Robust Spoken Language Understanding with Unsupervised ASR-error Adaptation. Proceedings of The 43rd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada, 2018.
  9. Ouyu Lan, Su Zhu and Kai Yu. Semi-supervised Training Using Adversarial Multi-task Learning For Spoken Language Understanding. Proceedings of The 43rd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada, 2018. (Oral)
  10. Su Zhu and Kai Yu. Encoder-decoder with Focus-mechanism for Sequence Labelling Based Spoken Language Understanding. Proceedings of The 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, USA, March 5-9, 2017. (Oral)
  11. Xueyang Wu, Su Zhu, Yue Wu and Kai Yu. Rich Punctuations Prediction Using Large-scale Deep Learning. International Symposium on Chinese Spoken Language Processing(ISCSLP), Tianjin, China, 2016.
  12. Kai Sun, Su Zhu, Lu Chen, Siqiu Yao, Xueyang Wu and Kai Yu. Hybrid Dialogue State Tracking for Real World Human-to-Human Dialogues. 17th Annual Conference of the International Speech Communication Association (InterSpeech), San Francisco, America, 2016: 2060-2064. (Oral)
  13. Qizhe Xie, Kai Sun, Su Zhu, Lu Chen and Kai Yu. Recurrent Polynomial Network for Dialogue State Tracking with Mismatched Semantic Parsers. The 16th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL), Prague, Czech Republic, 2015: 295–304.
  14. Kai Sun, Lu Chen, Su Zhu and Kai Yu. A Generalized Rule Based Tracker for Dialogue State Tracking. IEEE Spoken Language Technology Workshop (SLT), South Lake Tahoe, USA, 2014: 330-335.
  15. Su Zhu, Lu Chen, Kai Sun, Da Zheng and Kai Yu. Semantic Parser Enhancement for Dialogue Domain Extension with Little Data. IEEE Spoken Language Technology Workshop (SLT), South Lake Tahoe, USA, 2014: 336-341.
  16. Kai Sun, Lu Chen, Su Zhu and Kai Yu. The SJTU System for Dialog State Tracking Challenge 2. The 15th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL), Pennsylvania, USA, 2014: 318-326.