Yunxiang Zhao (赵云祥)

I obtained the PhD degree from the School of Computer Science and Information Systems at the University of Melbourne, under the supervision of Prof. Rui Zhang and Prof. Jianzhong Qi. Before that, I graduated from Northeastern University (NEU) with the B.Eng degree from the 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, machine learning, and deep learning (antigen/vaccine discovery and design; peptide/molecule drug discovery and design; infectious disease transmission prediction). I am currently doing postdoctoral research under the supervision of Prof. Wei Chen.

Selected Publications [Scholar]

• A Unified Deep Framework for Peptide-MHC-TCR Binding Prediction
  Yunxiang Zhao#, Jijun Yu#, Yixin Su#, You Shu#, Enhao Ma#, Jing Wang, Shuyang Jiang, Congwen Wei, Dongsheng Li, Zhen Huang*, Gong Cheng*, Hongguang Ren*, Jiannan Feng*.
  NMI'24

  @article{zhao2024a,
    title={A Unified Deep Framework for Peptide-MHC-TCR Binding Prediction},
    author={Yunxiang Zhao, Jijun Yu, Yixin Su, You Shu, Enhao Ma, Jing Wang, Shuyang Jiang, Congwen Wei, Dongsheng Li, Zhen Huang, Gong Cheng, Hongguang Ren, Jiannan Feng},
    journal={Nature Machine Intelligence (NMI)},
    year={2024}
  }
  



• Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
  Yixin Su#, Wei Jiang#, Fangquan Lin, Cheng Yang, Sarah Monazam Erfani, Junhao Gan, Yunxiang Zhao*, Ruixuan Li, Rui Zhang*.
  TOIS'24

  @article{su2024intrinsic,
    title={Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios},
    author={Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah Monazam Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang},
    journal={ACM Transactions on Information Systems (TOIS)},
    year={2024}
  }
  



• 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}
  }
  

• TKDE.
• Neural Networks.
• TKDD.
• Cell Chemical Biology.
• Cell Systems.
• Nature Communications.