Xingyu Zhao @ PALM, SEU

 

赵星宇
Xingyu Zhao
Ph.D. Student
PAttern Learning and Mining(PALM) Lab
School of computer science and engineering
Southeast University, Nanjing

Supervisor: Professor Xin Geng
Email: xyzhao@seu.edu.cn

   

Biography

2019.09 ~ Now

Ph.D, Department of School of Computer Science and Engineering , Southeast University, China

2016.09 ~ 2019.06

M.Sc, Department of School of Computer Science and Technology , China University of Mining and Technology, China

2012.09 ~ 2016.06

B.Sc, Department of School of Computer Science and Technology , China University of Mining and Technology, China

Research Interests

  • Machine Learning

  • Data Mining

Selected Publications

Conference Papers

  • Xingyu Zhao, Lei Qi, Yuexuan An, Xin Geng. Generalizable Label Distribution Learning. In: Proceedings of the 31st ACM International Conference on Multimedia (MM'23), Ottawa, Canada, 2023, 8932-8941.

  • Yuexuan An, Xingyu Zhao, Hui Xue. Learning to Learn from Corrupted Data for Few-Shot Learning. In: Proceedings of 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), Macao, China, 2023, 3423-3431.

  • Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng. Imbalanced Label Distribution Learning. In: Proceedings of 37th AAAI Conference on Artificial Intelligence (AAAI'23), Washington DC, USA, 2023, 11336-11344. (Oral)

  • Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Fusion Label Enhancement for Multi-Label Learning.  In: Proceedings of 31st International Joint Conference on Artificial Intelligence (IJCAI'22), Vienna, Austria, 2022, 3773-3779. (Long Oral, Acceptance rate 3.7%)

  • Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang. Conditional self-supervised learning for few-shot classification. In: Proceedings of 30th International Joint Conference on Artificial Intelligence (IJCAI'21), Montreal, Quebec, Canada, 2021, 2140-2146.

Journal Articles

  • Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Variational Continuous Label Distribution Learning for Multi-Label Text Classification. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, in press.

  • Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang. From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 45(8): 9757-9773.

  • Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng. Continuous Label Distribution Learning. Pattern Recognition (PRJ), 2023, 133: 109056.

  • Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia. An effective asynchronous framework for small scale reinforcement learning problems. Applied Intelligence (APIN), 2019, 49(12): 4303-4318.

  • Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia. Applications of asynchronous deep reinforcement learning based on dynamic updating weights. Applied Intelligence (APIN), 2019, 49(2): 581-591.

  • Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue. A review on multi-class TWSVM. Artificial Intelligence Review, 2019, 52(2): 775-801.

  • Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia. Asynchronous reinforcement learning algorithms for solving discrete space path planning problems. Applied Intelligence (APIN), 2018, 48(12): 4889-4904.

  • Shifei Ding, Xingyu Zhao, Hui Xu, Qiangbo Zhu, Yu Xue. NSCT-PCNN image fusion based on image gradient motivation. IET Computer Vision (IET-CVI), 2018, 12(4): 377-383.

Awards

  • Huawei Scholarship, Southeast University Education Foundation, 2023

  • Merit Graduate Student, Southeast University, 2022

  • Outstanding Master's Thesis Nomination, Jiangsu Association of Artificial Intelligence, 2019

  • Outstanding Graduates, China University of Mining and Technology, 2019

  • Outstanding Master's Thesis, China University of Mining and Technology, 2019

  • National Scholarship, Ministry of Education of the People's Republic of China, 2018

Academic Service

Conference PC member / Reviewer

  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): 2024

  • European Conference on Computer Vision (ECCV): 2024

  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2023

  • International Joint Conference on Artificial Intelligence (IJCAI): 2024

  • AAAI Conference on Artificial Intelligence (AAAI): 2023, 2024

  • ACM International Conference on Multimedia (MM): 2024

  • Conference on Uncertainty in Artificial Intelligence (UAI): 2023

  • European Conference on Artificial Intelligence (ECAI): 2023

  • SIAM International Conference on Data Mining (SDM): 2024

  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD): 2024

  • IEEE International Joint Conference on Neural Network (IJCNN): 2023, 2024

  • China Automation Congress (CAC): 2021, 2022, 2023

Journal Reviewer

  • IEEE Transactions on Multimedia (TMM)

  • IEEE Robotics and Automation Letters (RA-L)

  • IET Image Processing (IET-IPR)

  • Frontiers of Computer Science (FCS)

  • Neurocomputing (NEUCOM)

  • Soft Computing (SOCO)

  • Intelligent Data Analysis (IDA)

  • Neural Processing Letters (NPL)

  • The Journal of Supercomputing (TJSC)

  • Neural Computing and Applications (NCAA)

  • International Journal of Computational Intelligence and Applications (IJCIA)

  • International Journal of Machine Learning and Cybernetics (IJMLC)

Correspondence

Email

xyzhao@seu.edu.cn

Laboratory

448, Building of Computer Science and Engineering, Southeast University.