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Xingcheng Zhang
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2020 – today
- 2024
- [j2]Shiguang Wang
, Tao Xie, Haijun Liu
PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator. Neural Networks 174: 106263 (2024) - [j1]Jiangfei Duan
Proteus: Simulating the Performance of Distributed DNN Training. IEEE Trans. Parallel Distributed Syst. 35(10): 1867-1878 (2024) - [c12]Chang Chen
Centauri: Enabling Efficient Scheduling for Communication-Computation Overlap in Large Model Training via Communication Partitioning. ASPLOS (3) 2024: 178-191 - [c11]Jinming Ma, Xiuhong Li, Zihan Wang, Xingcheng Zhang, Shengen Yan, Yuting Chen, Yueqian Zhang, Minxi Jin, Lijuan Jiang, Yun Liang, Chao Yang, Dahua Lin:
A Holistic Functionalization Approach to Optimizing Imperative Tensor Programs in Deep Learning. DAC 2024: 200:1-200:6 - [c10]Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang:
MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving. ICML 2024 - [i20]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 abs/2401.16420 (2024) - [i19]Ding Tang, Lijuan Jiang, Minxi Jin, Jiecheng Zhou, Hengjie Li, Xingcheng Zhang, Zhilin Pei:
Adaptive Blockwise Task-interleaved Pipeline Parallelism. CoRR abs/2402.03791 (2024) - [i18]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 abs/2404.02015 (2024) - [i17]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 abs/2404.06512 (2024) - [i16]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 abs/2405.06219 (2024) - [i15]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 abs/2406.15486 (2024) - [i14]Rong Fu, Zhongling Su, Han-Sen Zhong, Xiti Zhao, Jianyang Zhang, Feng Pan
Achieving Energetic Superiority Through System-Level Quantum Circuit Simulation. CoRR abs/2407.00769 (2024) - [i13]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 abs/2407.03320 (2024) - [i12]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 abs/2407.16237 (2024) - [i11]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 abs/2407.20018 (2024) - [i10]Haoran Xu, Ziqian Liu, Rong Fu, Zhongling Su, Zerui Wang, Zheng Cai, Zhilin Pei, Xingcheng Zhang:
PackMamba: Efficient Processing of Variable-Length Sequences in Mamba training. CoRR abs/2408.03865 (2024) - [i9]Guofeng Feng, Siyan Chen, Rong Fu, Zimu Liao, Yi Wang, Tao Liu, Zhilin Pei, Hengjie Li, Xingcheng Zhang, Bo Dai:
FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering. CoRR abs/2408.07967 (2024) - [i8]Shiguang Wang, Tao Xie, Haijun Liu, Xingcheng Zhang, Jian Cheng:
PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator. CoRR abs/2408.16233 (2024) - [i7]Zimu Liao, Siyan Chen, Rong Fu, Yi Wang, Zhongling Su, Hao Luo, Li Ma, Linning Xu, Bo Dai, Hengjie Li, Zhilin Pei, Xingcheng Zhang:
Fisheye-GS: Lightweight and Extensible Gaussian Splatting Module for Fisheye Cameras. CoRR abs/2409.04751 (2024) - 2023
- [c9]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: 1233-1243 - [c8]Shiguang Wang, Tao Xie, Jian Cheng, Xingcheng Zhang, Haijun Liu:
MDL-NAS: A Joint Multi-domain Learning Framework for Vision Transformer. CVPR 2023: 20094-20104 - [i6]Jiangfei Duan, Xiuhong Li, Ping Xu, Xingcheng Zhang, Shengen Yan, Yun Liang, Dahua Lin:
Proteus: Simulating the Performance of Distributed DNN Training. CoRR abs/2306.02267 (2023) - [i5]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 abs/2309.15112 (2023) - 2022
- [c7]Lijuan Jiang, Ping Xu, Qianchao Zhu
EasyView: Enabling and Scheduling Tensor Views in Deep Learning Compilers. ICPP 2022: 54:1-54:11 - [c6]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: 282-295 - [i4]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 abs/2203.15980 (2022) - 2021
- [c5]Hua Chen
An Ultralow-Ripple Polarization Voltage Generator based on High-Voltage Bandgap Reference for MEMS Gyroscopes. NEMS 2021: 197-200 - 2020
- [c4]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: 78-88
2010 – 2019
- 2018
- [c3]Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin:
Accelerated Training for Massive Classification via Dynamic Class Selection. AAAI 2018: 7566-7573 - [c2]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: 7814-7823 - [i3]Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin:
Accelerated Training for Massive Classification via Dynamic Class Selection. CoRR abs/1801.01687 (2018) - [i2]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 abs/1804.05472 (2018) - 2017
- [c1]Xingcheng Zhang, Zhizhong Li
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks. CVPR 2017: 3900-3908 - 2016
- [i1]Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin:
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks. CoRR abs/1611.05725 (2016)
Coauthor Index
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last updated on 2024-11-19 20:44 CET by the dblp team
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