Xunyi Zhao

According to our database, Xunyi Zhao authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Toto 2.0: Time Series Forecasting Enters the Scaling Era.

Emaad Khwaja, Chris Lettieri, Gerald Woo, Eden Belouadah, Marc Cenac, Guillaume Jarry, Enguerrand Paquin, Xunyi Zhao, Viktoriya Zhukov, Othmane Abou-Amal, Chenghao Liu, Ameet Talwalkar, David Asker

CoRR, May, 2026

VLN-MME: Diagnosing MLLMs as Language-guided Visual Navigation Agents.

Xunyi Zhao, Gengze Zhou, Qi Wu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

VLNVerse: A Benchmark for Vision-Language Navigation with Versatile, Embodied, Realistic Simulation and Evaluation.

Sihao Lin, Zerui Li, Xunyi Zhao, Gengze Zhou, Liuyi Wang, Rong Wei, Rui Tang, Juncheng Li, Hanqing Wang, Jiangmiao Pang, Anton van den Hengel, Jiajun Liu, Qi Wu

CoRR, December, 2025

HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks.

Julia Gusak, Xunyi Zhao, Théotime Le Hellard, Zhe Li, Lionel Eyraud-Dubois, Olivier Beaumont

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

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

Xunyi Zhao

PhD thesis, 2024

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

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

Proceedings of the International Conference on Machine Learning, 2023

Progressive Multi-View Fusion for 3D Human Pose Estimation.

Lijun Zhang, Kangkang Zhou, Liangchen Liu, Zhenghao Li, Xunyi Zhao, Xiang-Dong Zhou, Yu Shi

Proceedings of the IEEE International Conference on Image Processing, 2023

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

Mitigate SIR epidemic spreading via contact blocking in temporal networks.

Shilun Zhang, Xunyi Zhao, Huijuan Wang

Appl. Netw. Sci., 2022

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2020

Suppressing Epidemic Spreading via Contact Blocking in Temporal Networks.

Xunyi Zhao, Huijuan Wang

Proceedings of the Complex Networks & Their Applications IX, 2020