Shiquan Yang

Shiquan Yang

PhD student at University of Melbourne

About Me: Shiquan Yang

I am a final-year Ph.D. student in the School of Computing and Information Systems at University of Melbourne, Australia. Prior to Ph.D., I spent over 3 years as an industrial machine learning engineer at Alibaba Group in Beijing, developing solutions for search user experience optimization. My major research interests are in dialogue systems, natural language processing, deep learning, neuro-symbolic reasoning and contrastive learning.


Contact
Email: x@y, where x=shiquan and y=student.unimelb.edu.au

Publications

  • Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah Erfani. “Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering”, Arxiv.
  • Shiquan Yang, Rui Zhang, Sarah Erfani, Jey Han Lau. “An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation”, to appear in Proceedings of The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), long paper, ACL.
  • Shiquan Yang, Rui Zhang, Sarah Erfani, Jey Han Lau. “UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases into End-to-End Task-Oriented Dialogue Systems”, in Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), oral, acceptance rate 13.9%, full paper, Montreal, IJCAI.
  • Shiquan Yang, Rui Zhang, Sarah Erfani. “GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems”, in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), long paper, ACL.
  • Shiquan Yang, Jianqiang Dong, Bo Yuan. “An Efficient Parallel ISODATA algorithm based on Kepler GPUs”, in Proceedings of the International Joint Conference on Neural Networks (IJCNN 2014), oral, full paper, Beijing, IEEE.

Patent

  • Shiquan Yang, Bo Yuan. A Parallel Sequence Mining Method Based on Graphics Processing Units. Patent ID: CN103995690B. Issue date: August, 2016.

Education

  • Feb. 2019 - Aug. 2022 (expected), Ph.D., School of Computing and Information Systems, University of Melbourne.
  • Seq. 2012 - Jun. 2015, M.Sc. in Control Science and Engineering, Tsinghua University.
  • Seq. 2007 - Jun. 2011, B.Sc. in Control Science and Engineering, Beijing Jiaotong University.

Working Experiences

  • July. 2015 - Jan. 2019, Senior Machine Learning Engineer (Full-time employee), Alibaba Search Division.
  • Sep. 2014 - Dec. 2014, Machine Learning Engineer (Intern), Baidu Big Data Lab.

Teaching

  • Teaching Assistant, Research Project on Chatbot Design, University of Melbourne, 2020.
  • Teaching Assistant, Design of Algorithm, University of Melbourne, 2019.
  • Teaching Assistant, Data Mining: Theories and Algorithms, Tsinghua University, 2014.

Awards

  • Melbourne Research Scholarship (2019-2022)

Professional Services

  • Program Committee (Reviewer):
    • Empirical Methods in Natural Language Processing (EMNLP 2022).
    • The 11th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2022)
    • Empirical Methods in Natural Language Processing (EMNLP 2021).
  • Conference Secondary Reviewer:
    • The 39th International Conference on Machine Learning (ICML 2022).
    • The 30th Web Conference (WWW 2021).
    • The 25th International Conference on Database Systems for Advanced Applications (DASFAA 2020).

CV