Xingcheng Zhang

According to our database, Xingcheng Zhang authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Adaptive Blockwise Task-interleaved Pipeline Parallelism.

Ding Tang, Lijuan Jiang, Minxi Jin, Jiecheng Zhou, Hengjie Li, Xingcheng Zhang, Zhilin Pei

CoRR, 2024

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Xilin Wei, Songyang Zhang, Haodong Duan, Maosong Cao, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2024

2023

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

Pan Zhang, Xiaoyi Dong, Bin Wang, Yuhang Cao, Chao Xu, Linke Ouyang, Zhiyuan Zhao, Shuangrui Ding, Songyang Zhang, Haodong Duan, Wenwei Zhang, Hang Yan, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2023

Proteus: Simulating the Performance of Distributed DNN Training.

Jiangfei Duan, Xiuhong Li, Ping Xu, Xingcheng Zhang, Shengen Yan, Yun Liang, Dahua Lin

CoRR, 2023

Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once.

Tao Xie, Shiguang Wang, Ke Wang, Linqi Yang, Zhiqiang Jiang, Xingcheng Zhang, Kun Dai, Ruifeng Li, Jian Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MDL-NAS: A Joint Multi-domain Learning Framework for Vision Transformer.

Shiguang Wang, Tao Xie, Jian Cheng, Xingcheng Zhang, Haijun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation.

Yu Tang, Chenyu Wang, Yufan Zhang, Yuliang Liu, Xingcheng Zhang, Linbo Qiao, Zhiquan Lai, Dongsheng Li

CoRR, 2022

LongTail-Bench: A Benchmark Suite for Domain-Specific Operators in Deep Learning.

Xiuhong Li, Shengen Yan, Lijuan Jiang, Ping Xu, Jinming Ma, Xingcheng Zhang, Dahua Lin

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

EasyView: Enabling and Scheduling Tensor Views in Deep Learning Compilers.

Lijuan Jiang, Ping Xu, Qianchao Zhu, Xiuhong Li, Shengen Yan, Xingcheng Zhang, Dahua Lin, Wenjing Ma, Zhouyang Li, Jun Liu, Jinming Ma, Minxi Jin, Chao Yang

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

An Ultralow-Ripple Polarization Voltage Generator based on High-Voltage Bandgap Reference for MEMS Gyroscopes.

Hua Chen, Zhen Meng, Xingcheng Zhang, Ke Liu

Proceedings of the 16th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2021

2020

Elan: Towards Generic and Efficient Elastic Training for Deep Learning.

Lei Xie, Jidong Zhai, Baodong Wu, Yuanbo Wang, Xingcheng Zhang, Peng Sun, Shengen Yan

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2018

Optimizing Video Object Detection via a Scale-Time Lattice.

Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Accelerated Training for Massive Classification via Dynamic Class Selection.

Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

PolyNet: A Pursuit of Structural Diversity in Very Deep Networks.

Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017