Yunxiang Zhao (赵云祥)

I obtained the PhD from School of Computer Science and Information System at the University of Melbourne, under the supervision of Prof. Rui Zhang and Dr. Jianzhong Qi. Before that, I graduated from Northeastern University (NEU) with the B.Eng degree from College of Software, then obtained the M.Eng degree from the National University of Defence Technology (NUDT), under the supervision of Prof. Xicheng Lu and Prof. Dongsheng Li.

My main research interests include bioinformatics, spatial data analysis, and machine learning. Specifically, I am currently doing research in bioinformatics (infectious disease transmission prediction, small molecule drug discovery, and vaccine design) with spatial data mining and deep learning approaches.

Selected Publications [Scholar]

• Hierarchical Shared Encoder with Task-specific Transformer Layer Selection for Emotion-Cause Pair Extraction
  Xinxin Su#, Zhen Huang#, Yixin Su, Bayu Trisedya, Yong Dou, Yunxiang Zhao*.
  TAFFC'24

  @article{zhao2023predicting,
    title={Hierarchical Shared Encoder with Task-specific Transformer Layer Selection for Emotion-Cause Pair Extraction},
    author={Su, Xinxin and Huang, Zhen and Su, Yixin and Trisedya, Bayu and Dou, Yong and Zhao, Yunxiang},
    journal={IEEE Transactions on Affective Computing (TAFFC)},
    year={2024}
  }
  



• Predicting the Transmission Trend of Respiratory Viruses in New Regions via Geospatial Similarity Learning
  Yunxiang Zhao, Mingda Hu, Yuan Jin, Fei Chen, Boqian Wang, Xin Wang, Junjie Yue, Hongguang Ren*.
  JAG'23

  @article{zhao2023predicting,
    title={Predicting the Transmission Trend of Respiratory Viruses in New Regions via Geospatial Similarity Learning},
    author={Zhao, Yunxiang and Hu, Mingda and Jin, Yuan and Chen, Fei and Wang, Boqian and Wang, Xin and Yue, Junjie and Ren, Hongguang},
    journal={International Journal of Applied Earth Observation and Geoinformation (JAG)},
    year={2023}
  }
  



• DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation
  Menglong Lu#, Zhen Huang#, Yunxiang Zhao*, Zhiliang Tian*, Yang Liu, Dongsheng Li.
  ACL'23

  @article{lu2023damstf,
    title={DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation},
    author={Lu, Menglong and Huang, Zhen and Zhao, Yunxiang and Tian, Zhiliang and Liu, Yang and Li, Dongsheng},
    journal={The Association for Computational Linguistics (ACL)},
    year={2023}
  }
  



• Meta-Tsallis-Entropy Minimization: A New Self-Train Approach for Domain Adaptation on Text Classification
  Menglong Lu#, Zhen Huang#, Zhiliang Tian*, Yunxiang Zhao*, Xuanyu Fei, Dongsheng Li.
  IJCAI'23

  @article{lu2023meta,
    title={Meta-Tsallis-Entropy Minimization: A New Self-Train Approach for Domain Adaptation on Text Classification},
    author={Lu, Menglong and Huang, Zhen and Tian, Zhiliang and Zhao, Yunxiang and Fei, Xuanyu and Li, Dongsheng},
    journal={International Joint Conference on Artificial Intelligence (IJCAI)},
    year={2023}
  }
  



• Recent Trends in Deep Learning Based Textual Emotion Cause Extraction
  Xinxin Su#, Zhen Huang#, Yunxiang Zhao*, Yifan Chen, Yong Dou, Hengyue Pan.
  TASLP'23

  @article{su2023recent,
    title={Recent Trends in Deep Learning Based Textual Emotion Cause Extraction},
    author={Su, Xinxin and Zhao, Yunxiang and Huang, Zhen and Chen, Yifan and Dou, Yong and Pan, Hengyue},
    journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)},
    year={2023},
    publisher={IEEE}
  }
  



• Learning Region Similarities via Graph-based Deep Metric Learning
  Yunxiang Zhao, Jianzhong Qi*, Bayu D. Trisedya, Yixin Su, Rui Zhang, Hongguang Ren*.
  TKDE'23

  @article{zhao2023learning,
    title={Learning Region Similarities via Graph-based Deep Metric Learning},
    author={Zhao, Yunxiang and Qi, Jianzhong and Trisedya, Bayu and Su, Yixin and Zhang, Rui and Ren, Hongguang},
    journal={IEEE Transactions on Knowledge and Data Engineering (TKDE)},
    year={2023},
    publisher={IEEE}
  }
  

• TOIS'24.
• TKDE'24.
• NMI'24.

• Pearson William Tewksbury Scholarship, The University of Melbourne, 2019
• Graduation with Honors, National University of Defence Technology, 2016
• Kwang-Hua Scholarship, National University of Defence Technology, 2016
• Graduation with Honors, Northeastern University, 2014
• National Scholarship, Northeastern University, 2011-2012

• PC member for International Joint Conference on Artificial Intelligence (IJCAI), 2023.
• PC member for ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
• ARR Reviewer for Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
• PC member for ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.
• PC member for AAAI Conference on Artificial Intelligence (AAAI), 2022.
• Reviewer for ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.
• Reviewer for International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021.
• Reviewer for AAAI Conference on Artificial Intelligence (AAAI), 2021.
• Reviewer for International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2021.
• Reviewer for ACM International Conference on Information and Knowledge Management (CIKM), 2021.
• Reviewer for APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM), 2021.

• Reviewer for IEEE Transactions on Cybernetics (TCYB).
• Reviewer for Sustainable Cities and Society (SCS).
• Reviewer for Engineering Applications of Artificial Intelligence (EAAI).
• Reviewer for Remote Sensing of Environment (RSE).
• Reviewer for International Journal of Intelligent Systems (IJIS).

• I give a talk on "Deep Learning and its Applications on Preventing Infecious Disease" at Beijing Institute of Biotechnology, March, 2023.
• I give a talk on "Graph Neural Networks and its Applications" at National University of Defence Technology, July, 2022.
• I give a talk on "Graph Neural Networks and its Frontier Applications" at Huawei, July, 2021.
• Tutor for COMP90038 Algorithms And Complexity, Semester 2, 2019.
• Tutor for COMP90041 Programming and Software Development, Semester 2, 2018.