30 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Long-Tailed Learning as Multi-Objective Optimization
Weiqi Li, Fan Lyu, Fanhua Shang +2
Real-world data is extremely imbalanced and presents a long-tailed distribution, resulting in models that are biased towards classes with sufficient samples and perform poorly on r…
cs.CV2023★ 30 cited
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Zhijin Ge, Fanhua Shang, Hongying Liu +4
Deep neural networks are vulnerable to adversarial examples crafted by applying human-imperceptible perturbations on clean inputs. Although many attack methods can achieve high suc…
cs.LG2014★ 2 cited
Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations
Fanhua Shang, Yuanyuan Liu, Hanghang Tong +2
Recovering low-rank and sparse matrices from incomplete or corrupted observations is an important problem in machine learning, statistics, bioinformatics, computer vision, as well…