Exploring Effective Methods to Improve the Performance of Tiny Object Detection. - Cheng Gao; Wei Tang 017; Lizuo Jin; Yan Jun (ECCV Workshops (5), 2020)

The 1st Tiny Object Detection Challenge: Methods and Results. - Xuehui Yu; Zhenjun Han; Yuqi Gong; Nan Jan; Jian Zhao 006; Qixiang Ye; Jie Chen 001; Yuan Feng; Bin Zhang; Xiaodi Wang; Ying Xin; Jingwei Liu; et al. (ECCV Workshops (5), 2020)

A Latent Feature Autoencoder via Adversarial Training for Unsupervised Anomaly Detection. - Wei Tang 017; Jun Li 011 (SMC, 2021)

Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning. - Wei Tang 017; Weijia Zhang 001; Min-Ling Zhang (NeurIPS, 2023)

PROMIPL: A Probabilistic Generative Model for Multi-Instance Partial-Label Learning. - Yin-Fang Yang; Wei Tang 017; Min-Ling Zhang (ICDM, 2024)

Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning. - Wei Tang 017; Weijia Zhang 001; Min-Ling Zhang (IJCAI, 2024)

Multi-Instance Partial-Label Learning with Margin Adjustment. - Wei Tang 017; Yin-Fang Yang; Zhaofei Wang; Weijia Zhang 001; Min-Ling Zhang (NeurIPS, 2024)

Multi-instance partial-label learning: towards exploiting dual inexact supervision. - Wei Tang 017; Weijia Zhang 001; Min-Ling Zhang (Sci. China Inf. Sci., 2024)

Fast Multi-Instance Partial-Label Learning. - Yin-Fang Yang; Wei Tang 017; Min-Ling Zhang (AAAI, 2025)