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Ziheng Jiang
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2020 – today
- 2024
- [c16]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: 3073-3081 - [c15]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: 745-760 - [i14]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 abs/2402.15627 (2024) - [i13]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 abs/2406.06858 (2024) - 2023
- [j6]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: 1-11 (2023) - [c14]Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff:
EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement. WACV 2023: 4997-5006 - [i12]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 abs/2311.02103 (2023) - 2022
- [c13]Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff:
Federated Remote Physiological Measurement with Imperfect Data. CVPR Workshops 2022: 2154-2163 - [c12]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 - [i11]Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff:
Federated Remote Physiological Measurement with Imperfect Data. CoRR abs/2203.05759 (2022) - 2021
- [j5]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): 25:1-25:20 (2021) - [c11]Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel McDuff:
MetaPhys: few-shot adaptation for non-contact physiological measurement. CHIL 2021: 154-163 - [c10]Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer:
Characterizing Structural Regularities of Labeled Data in Overparameterized Models. ICML 2021: 5034-5044 - [i10]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 abs/2101.07996 (2021) - [i9]Ziheng Jiang, Animesh Jain, Andrew Liu, Josh Fromm, Chengqian Ma, Tianqi Chen, Luis Ceze:
Automated Backend-Aware Post-Training Quantization. CoRR abs/2103.14949 (2021) - [i8]Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff:
EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Vitals Measurement. CoRR abs/2110.04447 (2021) - 2020
- [i7]Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer:
Exploring the Memorization-Generalization Continuum in Deep Learning. CoRR abs/2002.03206 (2020) - [i6]Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel McDuff:
MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement. CoRR abs/2010.01773 (2020)
2010 – 2019
- 2019
- [j4]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): 8-16 (2019) - [i5]Sheng Zha, Ziheng Jiang, Haibin Lin, Zhi Zhang:
Just-in-Time Dynamic-Batching. CoRR abs/1904.07421 (2019) - [i4]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 abs/1904.08368 (2019) - 2018
- [c9]Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
Learning to Optimize Tensor Programs. NeurIPS 2018: 3393-3404 - [c8]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: 578-594 - [c7]Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin:
Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM 2018: 387-395 - [c6]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: 619-627 - [i3]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 abs/1802.04799 (2018) - [i2]Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
Learning to Optimize Tensor Programs. CoRR abs/1805.08166 (2018) - [i1]Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
VTA: An Open Hardware-Software Stack for Deep Learning. CoRR abs/1807.04188 (2018) - 2015
- [j3]Yao Yao, Ping Guo
, Xin Xin, Ziheng Jiang:
Erratum to: Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 7(5): 633 (2015) - 2014
- [j2]Yao Yao, Ping Guo
, Xin Xin, Ziheng Jiang:
Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 6(3): 281-292 (2014) - [c5]Ziheng Jiang, Ping Guo, Lihong Peng:
Locality-Constrained Low-Rank Coding for Image Classification. AAAI 2014: 2780-2786 - 2013
- [c4]Ziheng Jiang, Lei Ji, Jianwen Zhang, Jun Yan, Ping Guo
, Ning Liu:
Learning open-domain comparable entity graphs from user search queries. CIKM 2013: 2339-2344 - 2012
- [j1]Ping Guo
, Ziheng Jiang, Song Lin, Yao Yao:
Combining LVQ with SVM technique for image semantic annotation. Neural Comput. Appl. 21(4): 735-746 (2012) - [c3]Yingqin Gu, Lei Ji, Ziheng Jiang, Jun He:
Endless and Scalable Knowledge Table Extraction from Semi-structured Websites. ICDM Workshops 2012: 835-842 - 2011
- [c2]Jing He, Ziheng Jiang, Ping Guo
, Lixiong Liu:
A study of block-global feature based supervised image annotation. SMC 2011: 971-976 - 2010
- [c1]Ziheng Jiang, Jing He, Ping Guo
:
Feature data optimization with LVQ technique in semantic image annotation. ISDA 2010: 906-911
Coauthor Index
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last updated on 2024-08-21 21:32 CEST by the dblp team
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