DCFG: Discovering Directional CounterFactual Generation for Chest X-rays. - Yan Li 063; Shasha Liu; Chunwei Wu; Xidong Xi; Guitao Cao; Wenming Cao 001 (BIBM, 2021)

Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning. - Shiyu Liu; Guitao Cao; Yong Liu; Yan Li 063; Chunwei Wu; Xidong Xi (IJCNN, 2022)

Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning. - Yong Liu; Chunwei Wu; Xidong Xi; Yan Li 063; Guitao Cao; Wenming Cao 001; Hong Wang (IJCNN, 2022)

Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation. - Chunwei Wu; Guitao Cao; Yan Li 063; Xidong Xi; Wenming Cao 001; Hong Wang (ACM Multimedia, 2023)

OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss. - Zezhou Wang; Guitao Cao; Xidong Xi; Jiangtao Wang 009 (SMC, 2023)

When Source-Free Domain Adaptation Meets Label Propagation. - Chunwei Wu; Guitao Cao; Yan Li 063; Xidong Xi; Wenming Cao 001; Hong Wang (CoRR, 2023)

A Preliminary Exploration of Children Autism Spectrum Disorder Detection Based on Environmental Variables. - Siyu Wang; Guitao Cao; Qiaoyun Liu; Min Liu; Xidong Xi (ICIC (28), 2025)

Potential Knowledge Extraction Network for Class-Incremental Learning. - Xidong Xi; Guitao Cao; Wenming Cao 001; Yong Liu; Yan Li 063; Hong Wang; He Ren (Neurocomputing, 2025)