Suppressing Epidemic Spreading via Contact Blocking in Temporal Networks. - Xunyi Zhao; Huijuan Wang (COMPLEX NETWORKS (1), 2020)

Survey on Efficient Training of Large Neural Networks. - Julia Gusak; Daria Cherniuk; Alena Shilova; Alexandr Katrutsa; Daniel Bershatsky; Xunyi Zhao; Lionel Eyraud-Dubois; Oleh Shliazhko; Denis Dimitrov; Ivan V. Oseledets; Olivier Beaumont (IJCAI, 2022)

Mitigate SIR epidemic spreading via contact blocking in temporal networks. - Shilun Zhang; Xunyi Zhao; Huijuan Wang (Appl. Netw. Sci., 2022)

Survey on Large Scale Neural Network Training. - Julia Gusak; Daria Cherniuk; Alena Shilova; Alexandr Katrutsa; Daniel Bershatsky; Xunyi Zhao; Lionel Eyraud-Dubois; Oleg Shlyazhko; Denis Dimitrov; Ivan V. Oseledets; Olivier Beaumont (CoRR, 2022)

Progressive Multi-View Fusion for 3D Human Pose Estimation. - Lijun Zhang; Kangkang Zhou; Liangchen Liu; Zhenghao Li; Xunyi Zhao; Xiang-Dong Zhou; Yu Shi 003 (ICIP, 2023)

Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch. - Xunyi Zhao; Théotime Le Hellard; Lionel Eyraud-Dubois; Julia Gusak; Olivier Beaumont (ICML, 2023)

DSSO-YOLO: A fast detection model for densely stacked small object. - Zheng Zhang; Liangchen Liu; Xunyi Zhao; Lijun Zhang; Jun Wu; Yan Zhang; Zhenghao Li (Displays, 2024)

Optimizing Memory Usage when Training Deep Neural Networks. (Optimisation de la consommation mémoire pendant l'apprentissage). - Xunyi Zhao (2024)