Recent Advances in Concept Drift Adaptation Methods for Deep Learning. - Liheng Yuan; Heng Li 008; Beihao Xia; Cuiying Gao; Mingyue Liu; Wei Yuan 001; Xinge You (IJCAI, 2022)

Model scheduling and sample selection for ensemble adversarial example attacks. - Zichao Hu; Heng Li 008; Liheng Yuan; Zhang Cheng; Wei Yuan 001; Ming Zhu (Pattern Recognit., 2022)

Robotic Objects Detection and Grasping in Clutter Based on Cascaded Deep Convolutional Neural Network. - Dong Liu 011; Xiantong Tao; Liheng Yuan; Yu Du 001; Ming Cong 001 (IEEE Trans. Instrum. Meas., 2022)

Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information. - Heng Li 008; Zhang Cheng; Bang Wu; Liheng Yuan; Cuiying Gao; Wei Yuan 001; Xiapu Luo (USENIX Security Symposium, 2023)

Semi-supervised anomaly detection with contamination-resilience and incremental training. - Liheng Yuan; Fanghua Ye 001; Heng Li 008; Chenhao Zhang; Cuiying Gao; Chengqing Yu; Wei Yuan 001; Xinge You (Eng. Appl. Artif. Intell., 2024)

Concept drift adaptation with scarce labels: A novel approach based on diffusion and adversarial learning. - Liheng Yuan; Fanghua Ye 001; Wei Zhou; Wei Yuan 001; Xinge You (Eng. Appl. Artif. Intell., 2024)