Su Zhu

PhD in Computer Science and Technology

Shanghai Jiao Tong University

Biography

I received my Ph.D. degree in computer science 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

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

Full publications.

Su Zhu, Lu Chen, Ruisheng Cao, Zhi Chen, Qingliang Miao and Kai Yu (2021). Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF. NLPCC 2021.

Su Zhu, Jieyu Li, Lu Chen and Kai Yu (2020). Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking. Findings of EMNLP 2020.

Chen Liu$^\ddagger$, Su Zhu$^\ddagger$, Lu Chen and Kai Yu (2020). Robust Spoken Language Understanding with RL-based Value Error Recovery. NLPCC 2020.

Chen Liu$^\ddagger$, Su Zhu$^\ddagger$, Zijian Zhao, Ruisheng Cao, Lu Chen and Kai Yu (2020). Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding. INTERSPEECH 2020.

Su Zhu$^\ddagger$, Ruisheng Cao$^\ddagger$ and Kai Yu (2020). Dual Learning for Semi Supervised Natural Language Understanding. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 28, pp. 1936-1947, 2020.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Preprint

Draft && in peer-review

Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu (2020). Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Arxiv.

Thesis

Draft && in peer-review

Su Zhu (2020). Towards Large-scale Task-oriented Spoken Language Understanding (大规模任务型口语理解). PhD Thsis in SJTU.