Xing Chen

According to our database, Xing Chen authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline.

Zhenliang Xue, Hanpeng Hu, Xing Chen, Yimin Jiang, Yixin Song, Zeyu Mi, Yibo Zhu, Daxin Jiang, Yubin Xia, Haibo Chen

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

Dynamic Sparsity in Large-Scale Video DiT Training.

Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline.

Zhenliang Xue, Hanpeng Hu, Xing Chen, Yimin Jiang, Yixin Song, Zeyu Mi, Yibo Zhu, Daxin Jiang, Yubin Xia, Haibo Chen

CoRR, April, 2025

Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model.

Haoyang Huang, Guoqing Ma, Nan Duan, Xing Chen, Changyi Wan, Ranchen Ming, Tianyu Wang, Bo Wang, Zhiying Lu, Aojie Li, Xianfang Zeng, Xinhao Zhang, Ganggang Yu, Yuhe Yin, Qiling Wu, Wen Sun, Kang An, Xin Han, Deshan Sun, Wei Ji, Bizhu Huang, Brian Li, Chenfei Wu, Guanzhe Huang, Huixin Xiong, Jiaxin He, Jianchang Wu, Jianlong Yuan, Jie Wu, Jiashuai Liu, Junjing Guo, Kaijun Tan, Liangyu Chen, Qiaohui Chen, Ran Sun, Shanshan Yuan, Shengming Yin, Sitong Liu, Wei Chen, Yaqi Dai, Yuchu Luo, Zheng Ge, Zhisheng Guan, Xiaoniu Song, Yu Zhou, Binxing Jiao, Jiansheng Chen, Jing Li, Shuchang Zhou, Xiangyu Zhang, Yi Xiu, Yibo Zhu, Heung-Yeung Shum, Daxin Jiang

CoRR, March, 2025

DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training.

Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu

CoRR, February, 2025

HeteroSFL: Split Federated Learning With Heterogeneous Clients and Non-IID Data.

Xing Chen, Jingtao Li, Deliang Fan, Chaitali Chakrabarti

IEEE Internet Things J., 2025

2024

PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs.

Xing Chen, Anish Krishnakumar, Ümit Y. Ogras, Chaitali Chakrabarti

J. Syst. Archit., February, 2024

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning.

Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Model Extraction Attacks on Split Federated Learning.

Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

CoRR, 2023

2022

Energy and Loss-aware Selective Updating for SplitFed Learning with Energy Harvesting-Powered Devices.

Xing Chen, Jingtao Li, Chaitali Chakrabarti

J. Signal Process. Syst., 2022

An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data.

Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti

Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning.

Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Communication and Computation Reduction for Split Learning using Asynchronous Training.

Xing Chen, Jingtao Li, Chaitali Chakrabarti

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021