Scalable attack on graph data by injecting vicious nodes. - Jihong Wang 003; Minnan Luo; Fnu Suya; Jundong Li; Zijiang Yang 006; Qinghua Zheng (Data Min. Knowl. Discov., 2020)

Robust Unsupervised Graph Representation Learning via Mutual Information Maximization. - Jihong Wang 003; Minnan Luo; Jundong Li; Ziqi Liu; Jun Zhou 011; Qinghua Zheng (CoRR, 2022)

Towards Explanation for Unsupervised Graph-Level Representation Learning. - Qinghua Zheng; Jihong Wang 003; Minnan Luo; Yaoliang Yu; Jundong Li; Lina Yao 001; Xiaojun Chang (CoRR, 2022)

Disentangled Generation with Information Bottleneck for Few-Shot Learning. - Zhuohang Dang; Jihong Wang 003; Minnan Luo; Chengyou Jia; Caixia Yan; Qinghua Zheng (CoRR, 2022)

Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. - Jihong Wang 003; Minnan Luo; Jundong Li; Yun Lin 001; Yushun Dong; Jin Song Dong; Qinghua Zheng (KDD, 2023)

Disentangled Representation Learning with Transmitted Information Bottleneck. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Guang Dai; Jihong Wang 003; Xiaojun Chang; Jingdong Wang 001; Qinghua Zheng (CoRR, 2023)

Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information Bottleneck. - Lijing Zheng; Jihong Wang 003; Huan Liu; Minnan Luo (ECML/PKDD (1), 2024)

Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning. - Zhuohang Dang; Minnan Luo; Jihong Wang 003; Chengyou Jia; Caixia Yan; Guang Dai; Xiaojun Chang; Qinghua Zheng (IEEE Trans. Image Process., 2024)

Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective. - Jihong Wang 003; Minnan Luo; Jundong Li; Ziqi Liu; Jun Zhou 011; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2024)

Disentangled Representation Learning With Transmitted Information Bottleneck. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Guang Dai; Jihong Wang 003; Xiaojun Chang; Jingdong Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Disentangled Noisy Correspondence Learning. - Zhuohang Dang; Minnan Luo; Jihong Wang 003; Chengyou Jia; Haochen Han; Herun Wan; Guang Dai; Xiaojun Chang; Jingdong Wang 001 (IEEE Trans. Image Process., 2025)