Ziheng Jiang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 28

Top Topics

Weakly Supervised

Top Venues

Publications

Li-Wen Chang, Wenlei Bao, Qi Hou, Chengquan Jiang, Ningxin Zheng, Yinmin Zhong, Xuanrun Zhang, Zuquan Song, Ziheng Jiang, Haibin Lin, Xin Jin, Xin Liu
FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion. CoRR (2024)
Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI (2024)
Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR (2024)
Haolong Li, Chenghao Du, Ziheng Jiang, Yifan Zhang, Jiawei Ma, Chen Ye
Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset. AAAI (2024)
Ruihang Lai, Junru Shao, Siyuan Feng, Steven S. Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared G. Roesch, Todd C. Mowry, Tianqi Chen
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. CoRR (2023)
Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff
EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement. WACV (2023)
Yanhua Peng, Hui Xu, Hangyi Zhou, Ziheng Jiang, Dongdong Shen, Shuo Cui, Donglin Su
High Accuracy Near-Field Electromagnetic Emission Identification System Using Characteristics Recognition and Image Localization. IEEE Trans. Instrum. Meas. 72 (2023)
Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko
DietCode: Automatic Optimization for Dynamic Tensor Programs. MLSys (2022)
Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff
Federated Remote Physiological Measurement with Imperfect Data. CVPR Workshops (2022)
Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff
Federated Remote Physiological Measurement with Imperfect Data. CoRR (2022)
Ziheng Jiang, Animesh Jain, Andrew Liu, Josh Fromm, Chengqian Ma, Tianqi Chen, Luis Ceze
Automated Backend-Aware Post-Training Quantization. CoRR (2021)
Xin Liu, Yuang Li, Josh Fromm, Yuntao Wang, Ziheng Jiang, Alex Mariakakis, Shwetak N. Patel
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (1) (2021)
Xin Liu, Yuang Li, Josh Fromm, Yuntao Wang, Ziheng Jiang, Alex Mariakakis, Shwetak N. Patel
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices. CoRR (2021)
Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff
EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Vitals Measurement. CoRR (2021)
Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel J. McDuff
MetaPhys: few-shot adaptation for non-contact physiological measurement. CHIL (2021)
Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer
Characterizing Structural Regularities of Labeled Data in Overparameterized Models. ICML (2021)
Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel J. McDuff
MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement. CoRR (2020)
Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer
Exploring the Memorization-Generalization Continuum in Deep Learning. CoRR (2020)
Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Q. Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
A Hardware-Software Blueprint for Flexible Deep Learning Specialization. IEEE Micro 39 (5) (2019)
Jared Roesch, Steven Lyubomirsky, Marisa Kirisame, Josh Pollock, Logan Weber, Ziheng Jiang, Tianqi Chen, Thierry Moreau, Zachary Tatlock
Relay: A High-Level IR for Deep Learning. CoRR (2019)
Sheng Zha, Ziheng Jiang, Haibin Lin, Zhi Zhang
Just-in-Time Dynamic-Batching. CoRR (2019)
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Q. Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
TVM: End-to-End Optimization Stack for Deep Learning. CoRR (2018)
Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
VTA: An Open Hardware-Software Stack for Deep Learning. CoRR (2018)
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
Learning to Optimize Tensor Programs. CoRR (2018)
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Q. Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. OSDI (2018)
Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. WSDM (2018)
Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin
Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM (2018)
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
Learning to Optimize Tensor Programs. NeurIPS (2018)
Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang
Erratum to: Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 7 (5) (2015)
Ziheng Jiang, Ping Guo, Lihong Peng
Locality-Constrained Low-Rank Coding for Image Classification. AAAI (2014)
Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang
Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 6 (3) (2014)
Ziheng Jiang, Lei Ji, Jianwen Zhang, Jun Yan, Ping Guo, Ning Liu
Learning open-domain comparable entity graphs from user search queries. CIKM (2013)
Ping Guo, Ziheng Jiang, Song Lin, Yao Yao
Combining LVQ with SVM technique for image semantic annotation. Neural Comput. Appl. 21 (4) (2012)
Yingqin Gu, Lei Ji, Ziheng Jiang, Jun He
Endless and Scalable Knowledge Table Extraction from Semi-structured Websites. ICDM Workshops (2012)
Jing He, Ziheng Jiang, Ping Guo, Lixiong Liu
A study of block-global feature based supervised image annotation. SMC (2011)
Ziheng Jiang, Jing He, Ping Guo
Feature data optimization with LVQ technique in semantic image annotation. ISDA (2010)