Xing Chen

16 papers A* 2Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline.
ASPLOS (2)
Zhenliang Xue, Hanpeng Hu, Xing Chen, Yimin Jiang, Yixin Song, Zeyu Mi, Yibo Zhu, Daxin Jiang, Yubin Xia, Haibo Chen
2026 — conf
Dynamic Sparsity in Large-Scale Video DiT Training.
ASPLOS (1)
Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu
2025 J jnl
DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training.
CoRR
Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu
2025 J jnl
HeteroSFL: Split Federated Learning With Heterogeneous Clients and Non-IID Data.
IEEE Internet Things J.
Xing Chen, Jingtao Li, Deliang Fan, Chaitali Chakrabarti
2025 J jnl
PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline.
CoRR
Zhenliang Xue, Hanpeng Hu, Xing Chen, Yimin Jiang, Yixin Song, Zeyu Mi, Yibo Zhu, Daxin Jiang, Yubin Xia, Haibo Chen
2025 J jnl
Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model.
CoRR
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
2024 A* conf
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning.
AAAI
Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2024 J jnl
PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs.
J. Syst. Archit.
Xing Chen, Anish Krishnakumar, Ümit Y. Ogras, Chaitali Chakrabarti
2023 J jnl
Model Extraction Attacks on Split Federated Learning.
CoRR
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2022 — conf
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data.
SiPS
Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti
2022 J jnl
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data.
CoRR
Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti
2022 J jnl
Energy and Loss-aware Selective Updating for SplitFed Learning with Energy Harvesting-Powered Devices.
J. Signal Process. Syst.
Xing Chen, Jingtao Li, Chaitali Chakrabarti
2022 A* conf
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning.
CVPR
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2022 J jnl
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning.
CoRR
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2021 — conf
Communication and Computation Reduction for Split Learning using Asynchronous Training.
SiPS
Xing Chen, Jingtao Li, Chaitali Chakrabarti
2021 J jnl
Communication and Computation Reduction for Split Learning using Asynchronous Training.
CoRR
Xing Chen, Jingtao Li, Chaitali Chakrabarti