Xingcheng Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
13
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | Bringing Near Data Processing Into the Low-Bit Floating-Point Era. | Tongxin Xie, Mingyu Gao, Zehao Wang, Zhihao Jia, Yuechen Xi, Bing Li, Mo Guang, Jiale Yan, Kaiwen Long, Xingcheng Zhang, Huazhong Yang, Yuan Xie, Zhenhua Zhu, Yu Wang |
| 2026 | NSDI | 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 |
| 2025 | CVPR | 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 |
| 2025 | DAC | 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 |
| 2025 | DAC | 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 |
| 2025 | ICML | 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 |
| 2025 | SiggraphA | 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 |
| 2024 | ASPLOS | 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 |
| 2024 | DAC | 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 |
| 2024 | ECCV | 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 |
| 2024 | ICCAD | 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 |
| 2024 | ICML | 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 |
| 2024 | SC | 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 |
| 2023 | CVPR | MDL-NAS: A Joint Multi-domain Learning Framework for Vision Transformer. | Shiguang Wang, Tao Xie, Jian Cheng, Xingcheng Zhang, Haijun Liu |
| 2023 | CVPR | 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 |
| 2022 | ICPP | 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 |
| 2020 | ICDCS | Elan: Towards Generic and Efficient Elastic Training for Deep Learning. | Lei Xie, Jidong Zhai, Baodong Wu, Yuanbo Wang, Xingcheng Zhang, Peng Sun, Shengen Yan |
| 2018 | AAAI | Accelerated Training for Massive Classification via Dynamic Class Selection. | Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin |
| 2018 | CVPR | Optimizing Video Object Detection via a Scale-Time Lattice. | Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin |
| 2017 | CVPR | PolyNet: A Pursuit of Structural Diversity in Very Deep Networks. | Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin |