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]

• EBAMP: An efficient de novo broad-spectrum antimicrobial peptide discovery framework
  Yunxiang Zhao#, Qian Li#, Mingyue Sun#, Yixin Su#, Xinxin Su#, Ling Jiang, Xinran Zhang, Yangyi Hu, Boqian Wang, Haoran Yu, Qiang Zhang, Zili Chai, Ding Yao, Yuhao Ren, Wenhua Huang, Yuan Jin, Yutao Dou, Dongsheng Li, Zhen Huang*, Peng Liu*, Hongguang Ren*, Yongqiang Jiang* .
  Cell Rep.'25


• 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


• 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


• 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

• TKDE.
• TKDD.
• Nature Communications.

• 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.