Xingcheng Zhang

According to our database, Xingcheng Zhang authored at least 47 papers between 2017 and 2026.

Collaborative distances:

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

2026

Di-PS: System-Algorithm Co-Design for Asynchronous and Heterogeneous Cross-cluster LLM Training at Scale.

Shengwei Li, Qiaoling Chen, Zhiquan Lai, Penglong Jiao, Wenwen Qu, Kun Cai, Jiaxing Li, Peng Sun, Xingcheng Zhang, Xiaoge Deng, Dongsheng Li, Kai Lu, Tianwei Zhang

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

2025

RL in the Wild: Characterizing RLVR Training in LLM Deployment.

Jiecheng Zhou, Qinghao Hu, Yuyang Jin, Zerui Wang, Peng Sun, Yuzhe Gu, Wenwei Zhang, Mingshu Zhai, Xingcheng Zhang, Weiming Zhang

CoRR, September, 2025

Koala: Efficient Pipeline Training through Automated Schedule Searching on Domain-Specific Language.

Yu Tang, Lujia Yin, Qiao Li, Hongyu Zhu, Hengjie Li, Xingcheng Zhang, Linbo Qiao, Dongsheng Li, Jiaxin Li

ACM Trans. Archit. Code Optim., June, 2025

H2:Towards Efficient Large-Scale LLM Training on Hyper-Heterogeneous Cluster over 1,000 Chips.

Ding Tang, Jiecheng Zhou, Jiakai Hu, Shengwei Li, Huihuang Zheng, Zhilin Pei, Hui Wang, Xingcheng Zhang

CoRR, May, 2025

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Jinguo Zhu, Weiyun Wang, Zhe Chen, Zhaoyang Liu, Shenglong Ye, Lixin Gu, Hao Tian, Yuchen Duan, Weijie Su, Jie Shao, Zhangwei Gao, Erfei Cui, Xuehui Wang, Yue Cao, Yangzhou Liu, Xingguang Wei, Hongjie Zhang, Haomin Wang, Weiye Xu, Hao Li, Jiahao Wang, Nianchen Deng, Songze Li, Yinan He, Tan Jiang, Jiapeng Luo, Yi Wang, Conghui He, Botian Shi, Xingcheng Zhang, Wenqi Shao, Junjun He, Yingtong Xiong, Wenwen Qu, Peng Sun, Penglong Jiao, Han Lv, Lijun Wu, Kaipeng Zhang, Huipeng Deng, Jiaye Ge, Kai Chen, Limin Wang, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang

CoRR, April, 2025

GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models.

Miao Tao, Yuanzhen Zhou, Haoran Xu, Zeyu He, Zhenyu Yang, Yuchang Zhang, Zhongling Su, Linning Xu, Zhenxiang Ma, Rong Fu, Hengjie Li, Xingcheng Zhang, Jidong Zhai

CoRR, February, 2025

Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models.

Jiecheng Zhou, Ding Tang, Rong Fu, Boni Hu, Haoran Xu, Yi Wang, Zhilin Pei, Zhongling Su, Liang Liu, Xingcheng Zhang, Weiming Zhang

CoRR, February, 2025

Research on the influence of installation error of capacitive angle sensor on angle error.

Jianwen Wu, Ang Ma, Zhen Meng, Xingcheng Zhang, Wei Mi, Yuepeng Yan, Mou Liu

IEICE Electron. Express, 2025

TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores.

Zimu Liao, Jifeng Ding, Siwei Cui, Ruixuan Gong, Boni Hu, Yi Wang, Hengjie Li, Hui Wang, Xingcheng Zhang, Rong Fu

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design.

Haojie Duanmu, Xiuhong Li, Zhihang Yuan, Size Zheng, Jiangfei Duan, Xingcheng Zhang, Dahua Lin

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

Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware Multiplexing.

Jinming Ma, Jiefei Chen, Xiuhong Li, Jiangfei Duan, Haojie Duanmu, Xingcheng Zhang, Chao Yang, Dahua Lin

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

A Cross-model Fusion-aware Framework for Optimizing (gather-matmul-scatter)s Workload.

Yaoxiu Lian, Zhihong Gou, Yibo Han, Zhongming Yu, Jiaming Xu, Sheng Yuan, Zhilin Pei, Xingcheng Zhang, Ningyi Xu, Guohao Dai

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering.

Guofeng Feng, Siyan Chen, Rong Fu, Zimu Liao, Yi Wang, Tao Liu, Boni Hu, Linning Xu, Zhilin Pei, Hengjie Li, Xiuhong Li, Ninghui Sun, Xingcheng Zhang, Bo Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

DELTA: Memory-Efficient Training via Dynamic Fine-Grained Recomputation and Swapping.

Yu Tang, Qiao Li, Lujia Yin, Dongsheng Li, Yiming Zhang, Chenyu Wang, Xingcheng Zhang, Linbo Qiao, Zhaoning Zhang, Kai Lu

ACM Trans. Archit. Code Optim., December, 2024

Proteus: Simulating the Performance of Distributed DNN Training.

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

IEEE Trans. Parallel Distributed Syst., October, 2024

PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator.

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

Neural Networks, 2024

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions.

Pan Zhang, Xiaoyi Dong, Yuhang Cao, Yuhang Zang, Rui Qian, Xilin Wei, Lin Chen, Yifei Li, Junbo Niu, Shuangrui Ding, Qipeng Guo, Haodong Duan, Xin Chen, Han Lv, Zheng Nie, Min Zhang, Bin Wang, Wenwei Zhang, Xinyue Zhang, Jiaye Ge, Wei Li, Jingwen Li, Zhongying Tu, Conghui He, Xingcheng Zhang, Kai Chen, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2024

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Zhe Chen, Weiyun Wang, Yue Cao, Yangzhou Liu, Zhangwei Gao, Erfei Cui, Jinguo Zhu, Shenglong Ye, Hao Tian, Zhaoyang Liu, Lixin Gu, Xuehui Wang, Qingyun Li, Yimin Ren, Zixuan Chen, Jiapeng Luo, Jiahao Wang, Tan Jiang, Bo Wang, Conghui He, Botian Shi, Xingcheng Zhang, Han Lv, Yi Wang, Wenqi Shao, Pei Chu, Zhongying Tu, Tong He, Zhiyong Wu, Huipeng Deng, Jiaye Ge, Kai Chen, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang

CoRR, 2024

Fisheye-GS: Lightweight and Extensible Gaussian Splatting Module for Fisheye Cameras.

Zimu Liao, Siyan Chen, Rong Fu, Yi Wang, Zhongling Su, Hao Luo, Li Ma, Linning Xu, Bo Dai, Hengjie Li, Zhilin Pei, Xingcheng Zhang

CoRR, 2024

FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering.

Guofeng Feng, Siyan Chen, Rong Fu, Zimu Liao, Yi Wang, Tao Liu, Zhilin Pei, Hengjie Li, Xingcheng Zhang, Bo Dai

CoRR, 2024

Efficient Training of Large Language Models on Distributed Infrastructures: A Survey.

Jiangfei Duan, Shuo Zhang, Zerui Wang, Lijuan Jiang, Wenwen Qu, Qinghao Hu, Guoteng Wang, Qizhen Weng, Hang Yan, Xingcheng Zhang, Xipeng Qiu, Dahua Lin, Yonggang Wen, Xin Jin, Tianwei Zhang, Peng Sun

CoRR, 2024

OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection.

Fan Cui, Chenyang Yin, Kexing Zhou, Youwei Xiao, Guangyu Sun, Qiang Xu, Qipeng Guo, Demin Song, Dahua Lin, Xingcheng Zhang, Yun Liang

CoRR, 2024

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.

Pan Zhang, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Rui Qian, Lin Chen, Qipeng Guo, Haodong Duan, Bin Wang, Linke Ouyang, Songyang Zhang, Wenwei Zhang, Yining Li, Yang Gao, Peng Sun, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Hang Yan, Conghui He, Xingcheng Zhang, Kai Chen, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2024

Achieving Energetic Superiority Through System-Level Quantum Circuit Simulation.

Rong Fu, Zhongling Su, Han-Sen Zhong, Xiti Zhao, Jianyang Zhang, Feng Pan, Pan Zhang, Xianhe Zhao, Ming-Cheng Chen, Chao-Yang Lu, Jian-Wei Pan, Zhiling Pei, Xingcheng Zhang, Wanli Ouyang

CoRR, 2024

SampleAttention: Near-Lossless Acceleration of Long Context LLM Inference with Adaptive Structured Sparse Attention.

Qianchao Zhu, Jiangfei Duan, Chang Chen, Siran Liu, Xiuhong Li, Guanyu Feng, Xin Lv, Huanqi Cao, Xiao Chuanfu, Xingcheng Zhang, Dahua Lin, Chao Yang

CoRR, 2024

SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models.

Haojie Duanmu, Zhihang Yuan, Xiuhong Li, Jiangfei Duan, Xingcheng Zhang, Dahua Lin

CoRR, 2024

MuxServe: Flexible Multiplexing for Efficient Multiple LLM Serving.

Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang

CoRR, 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

Surpassing Sycamore: Achieving Energetic Superiority Through System-Level Circuit Simulation.

Rong Fu, Zhongling Su, Han-Sen Zhong, Xiti Zhao, Jianyang Zhang, Feng Pan, Pan Zhang, Xianhe Zhao, Ming-Cheng Chen, Chao-Yang Lu, Jian-Wei Pan, Zhilin Pei, Xingcheng Zhang, Wanli Ouyang

Proceedings of the International Conference for High Performance Computing, 2024

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving.

Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection.

Fan Cui, Chenyang Yin, Kexing Zhou, Youwei Xiao, Guangyu Sun, Qiang Xu, Qipeng Guo, Yun Liang, Xingcheng Zhang, Demin Song, Dahua Lin

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

PackMamba: Efficient Processing of Variable-Length Sequences in Mamba Training.

Haoran Xu, Ziqian Liu, Rong Fu, Zhongling Su, Zerui Wang, Zheng Cai, Zhilin Pei, Xingcheng Zhang

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

A Holistic Functionalization Approach to Optimizing Imperative Tensor Programs in Deep Learning.

Jinming Ma, Xiuhong Li, Zihan Wang, Xingcheng Zhang, Shengen Yan, Yuting Chen, Yueqian Zhang, Minxi Jin, Lijuan Jiang, Yun Liang, Chao Yang, Dahua Lin

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Centauri: Enabling Efficient Scheduling for Communication-Computation Overlap in Large Model Training via Communication Partitioning.

Chang Chen, Xiuhong Li, Qianchao Zhu, Jiangfei Duan, Peng Sun, Xingcheng Zhang, Chao Yang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 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

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