Su Zhu

Su Zhu

PhD student in Computer Science and Technology

Shanghai Jiao Tong University

Biography

I am a PhD student at Shanghai Jiao Tong University, supervised by Kai Yu. My research interests include spoken/natural language understanding, dialogue systems, semantic parsing, text2SQL, and structured deep learning.

Interests

  • Spoken/Natural language understanding
  • Dialogue state tracking
  • Semantic Parsing, Text2SQL
  • Domain classification, intent detection, and slot tagging
  • Goal-oriented dialogue system
  • Robust spoken language understanding
  • Domain adaptation & tranfer
  • Few-shot learning
  • Structured neural network
  • Graph neural network

Education

  • Ph.D in Computer Science and Technology, 2020 (expected)

    Shanghai Jiao Tong University

  • M.E. in Computer Science and Technology, 2016

    Shanghai Jiao Tong University

  • B.E in Computer Science and Technology, 2013

    Xi’an Jiao Tong University

Selected Publications

Journal and conference

Su Zhu$^\ddagger$, Ruisheng Cao$^\ddagger$ and Kai Yu (2020). Dual Learning for Semi Supervised Natural Language Understanding. Accepted by IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020.

Preprint

Ruisheng Cao, Su Zhu, Chenyu Yang, Chen Liu, Rao Ma, Yanbin Zhao, Lu Chen and Kai Yu (2020). Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing. ACL 2020.

PDF

Jieyu Li, Su Zhu and Kai Yu (2020). A Hierarchical Tracker For Multi-domain Dialogue State Tracking. In 45th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.

PDF

Su Zhu, Zijian Zhao, Rao Ma and Kai Yu (2020). Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 28, pp. 1440-1451, 2020.

PDF

Zijian Zhao$^\ddagger$, Su Zhu$^\ddagger$ and Kai Yu (2019). Data Augmentation with Atomic Templates for Spoken Language Understanding. In 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China, 2019, 3628–3634.

PDF

Su Zhu, Zijian Zhao, Tiejun Zhao, Chengqing Zong and Kai Yu (2019). CATSLU: The 1st Chinese Audio-Textual Spoken Language Understanding Challenge. In 2019 International Conference on Multimodal Interaction (ICMI 2019), Suzhou, China, 2019, 521-525.

PDF

Ruisheng Cao$^\ddagger$, Su Zhu$^\ddagger$, Chen Liu, Jieyu Li and Kai Yu (2019). Semantic Parsing with Dual Learning. In 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, 2019, 51-64.

PDF

Zijian Zhao, Su Zhu and Kai Yu (2019). A Hierarchical Decoding Model for Spoken Language Understanding from Unaligned Data. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019, 7305-7309.

PDF

Huifeng Zhang, Su Zhu, Shuai Fan and Kai Yu (2018). Joint Spoken Language Understanding and Domain Adaptive Language Modeling. International Conference on Intelligence Science and Big Data Engineering (IScIDE), Lanzhou, China, 2018.

PDF

Su Zhu and Kai Yu (2018). Concept Transfer Learning for Adaptive Language Understanding. In 19th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Melbourne, Australia, 2018, 391-399.

PDF

Su Zhu, Ouyu Lan and Kai Yu (2018). Robust Spoken Language Understanding with Unsupervised ASR-error Adaptation. In 2018 IEEE International Conference on Acoustics Speech and Signal Processing(ICASSP), Calgary, Canada, 2018, 6179-6183.

PDF

Ouyu Lan, Su Zhu and Kai Yu (2018). Semi-Supervised Training Using Adversarial Multi-Task Learning for Spoken Language Understanding. In 2018 IEEE International Conference on Acoustics Speech and Signal Processing(ICASSP), Calgary, Canada, 2018, 6049-6053.

PDF

Su Zhu and Kai Yu (2017). Encoder-decoder with Focus-mechanism for Sequence Labelling Based Spoken Language Understanding. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), New Orleans, USA, 2017.

PDF

Xueyang Wu, Su Zhu, Yue Wu and Kai Yu (2016). Rich Punctuations Prediction Using Large-scale Deep Learning. International Symposium on Chinese Spoken Language Processing(ISCSLP), Tianjin, China, 2016.

PDF

Kai Sun, Su Zhu, Lu Chen, Siqiu Yao, Xueyang Wu, Kai Yu (2016). 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.

PDF

Kai Sun, Lu Chen, Su Zhu and Kai Yu (2015). The SJTU System for Dialog State Tracking Challenge 2. The 15th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL), Pennsylvania, USA, 2014: 318-326.

PDF

Su Zhu, Lu Chen, Kai Sun, Da Zheng and Kai Yu (2014). Semantic parser enhancement for dialogue domain extensions with little data. In Proc. IEEE Spoken Language Technology Workshop (SLT), South Lake Tahoe, USA, 2014.

PDF

Preprint

Draft && in peer-review

Contact