Xingcheng Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Code Generation

Convolutional Neural Networks

Top Venues

Publications

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
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR (2024)
Ding Tang, Lijuan Jiang, Minxi Jin, Jiecheng Zhou, Hengjie Li, Xingcheng Zhang, Zhilin Pei
Adaptive Blockwise Task-interleaved Pipeline Parallelism. CoRR (2024)
Fan Cui, Chenyang Yin, Kexing Zhou, Youwei Xiao, Guangyu Sun, Qiang Xu, Qipeng Guo, Demin Song, Dahua Lin, Xingcheng Zhang, Yun Liang
OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection. CoRR (2024)
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
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model. CoRR (2024)
Shiguang Wang, Tao Xie, Haijun Liu, Xingcheng Zhang, Jian Cheng
PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator. Neural Networks 174 (2024)
Qianchao Zhu, Jiangfei Duan, Chang Chen, Siran Liu, Xiuhong Li, Guanyu Feng, Xin Lv, Huanqi Cao, Xiao Chuanfu, Xingcheng Zhang, Dahua Lin, Chao Yang
SampleAttention: Near-Lossless Acceleration of Long Context LLM Inference with Adaptive Structured Sparse Attention. CoRR (2024)
Haojie Duanmu, Zhihang Yuan, Xiuhong Li, Jiangfei Duan, Xingcheng Zhang, Dahua Lin
SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models. CoRR (2024)
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
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD. CoRR (2024)
Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang
MuxServe: Flexible Multiplexing for Efficient Multiple LLM Serving. CoRR (2024)
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
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output. CoRR (2024)
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
Achieving Energetic Superiority Through System-Level Quantum Circuit Simulation. CoRR (2024)
Chang Chen, Xiuhong Li, Qianchao Zhu, Jiangfei Duan, Peng Sun, Xingcheng Zhang, Chao Yang
Centauri: Enabling Efficient Scheduling for Communication-Computation Overlap in Large Model Training via Communication Partitioning. ASPLOS (3) (2024)
Jiangfei Duan, Xiuhong Li, Ping Xu, Xingcheng Zhang, Shengen Yan, Yun Liang, Dahua Lin
Proteus: Simulating the Performance of Distributed DNN Training. CoRR (2023)
Shiguang Wang, Tao Xie, Jian Cheng, Xingcheng Zhang, Haijun Liu
MDL-NAS: A Joint Multi-domain Learning Framework for Vision Transformer. CVPR (2023)
Tao Xie, Shiguang Wang, Ke Wang, Linqi Yang, Zhiqiang Jiang, Xingcheng Zhang, Kun Dai, Ruifeng Li, Jian Cheng
Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once. CVPR (2023)
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
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition. CoRR (2023)
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
EasyView: Enabling and Scheduling Tensor Views in Deep Learning Compilers. ICPP (2022)
Yu Tang, Chenyu Wang, Yufan Zhang, Yuliang Liu, Xingcheng Zhang, Linbo Qiao, Zhiquan Lai, Dongsheng Li
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation. CoRR (2022)
Xiuhong Li, Shengen Yan, Lijuan Jiang, Ping Xu, Jinming Ma, Xingcheng Zhang, Dahua Lin
LongTail-Bench: A Benchmark Suite for Domain-Specific Operators in Deep Learning. IISWC (2022)
Hua Chen, Zhen Meng, Xingcheng Zhang, Ke Liu
An Ultralow-Ripple Polarization Voltage Generator based on High-Voltage Bandgap Reference for MEMS Gyroscopes. NEMS (2021)
Lei Xie, Jidong Zhai, Baodong Wu, Yuanbo Wang, Xingcheng Zhang, Peng Sun, Shengen Yan
Elan: Towards Generic and Efficient Elastic Training for Deep Learning. ICDCS (2020)
Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin
Optimizing Video Object Detection via a Scale-Time Lattice. CoRR (2018)
Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin
Optimizing Video Object Detection via a Scale-Time Lattice. CVPR (2018)
Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin
Accelerated Training for Massive Classification via Dynamic Class Selection. AAAI (2018)
Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin
Accelerated Training for Massive Classification via Dynamic Class Selection. CoRR (2018)
Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks. CVPR (2017)
Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks. CoRR (2016)