Boosting the transferability of adversarial examples via stochastic serial attack. - Lingguang Hao; Kuangrong Hao; Bing Wei; Xue-Song Tang (Neural Networks, 2022)

Remix: Towards the transferability of adversarial examples. - Hongzhi Zhao; Lingguang Hao; Kuangrong Hao; Bing Wei; Xin Cai (Neural Networks, 2023)

IDC: Boost Text-to-image Retrieval via Indirect and Direct Connections. - Guowei Ge; Kuangrong Hao; Lingguang Hao (LREC/COLING, 2024)

Causal inference of multivariate time series in complex industrial systems. - Xiaoxue Liang; Kuangrong Hao; Lei Chen 064; Xin Cai; Lingguang Hao (Adv. Eng. Informatics, 2024)

Show, tell and rectify: Boost image caption generation via an output rectifier. - Guowei Ge; Yufeng Han; Lingguang Hao; Kuangrong Hao; Bing Wei; Xue-Song Tang (Neurocomputing, 2024)

A hypothetical defenses-based training framework for generating transferable adversarial examples. - Lingguang Hao; Kuangrong Hao; Yaochu Jin; Hongzhi Zhao (Knowl. Based Syst., 2024)

MS-FTSCNN: An EEG emotion recognition method from the combination of multi-domain features. - Feifei Li; Kuangrong Hao; Bing Wei; Lingguang Hao; Lihong Ren (Biomed. Signal Process. Control., 2024)