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2020 – today
- 2025
[j1]Xidong Xi
, Guitao Cao, Wenming Cao, Yong Liu, Yan Li, Hong Wang, He Ren:
Potential Knowledge Extraction Network for Class-Incremental Learning. Neurocomputing 616: 128923 (2025)- 2023
- [c5]Chunwei Wu, Guitao Cao, Yan Li, Xidong Xi, Wenming Cao, Hong Wang:
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation. ACM Multimedia 2023: 2877-2887 - [c4]Zezhou Wang, Guitao Cao, Xidong Xi, Jiangtao Wang:
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss. SMC 2023: 2675-2682 - [i2]Chunwei Wu, Guitao Cao, Yan Li, Xidong Xi, Wenming Cao, Hong Wang:
When Source-Free Domain Adaptation Meets Label Propagation. CoRR abs/2301.08413 (2023) - [i1]Zezhou Wang, Guitao Cao, Xidong Xi, Jiangtao Wang:
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss. CoRR abs/2311.14939 (2023) - 2022
- [c3]Shiyu Liu, Guitao Cao, Yong Liu, Yan Li, Chunwei Wu, Xidong Xi:
Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning. IJCNN 2022: 1-8 - [c2]Yong Liu, Chunwei Wu, Xidong Xi, Yan Li, Guitao Cao, Wenming Cao, Hong Wang:
Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning. IJCNN 2022: 1-8 - 2021
- [c1]Yan Li, Shasha Liu, Chunwei Wu, Xidong Xi, Guitao Cao, Wenming Cao:
DCFG: Discovering Directional CounterFactual Generation for Chest X-rays. BIBM 2021: 972-979
Coauthor Index
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