Zhibin Ren

According to our database, Zhibin Ren authored at least 13 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC.

Monodeep Kar, Joel Silberman, Swagath Venkataramani, Viji Srinivasan, Bruce M. Fleischer, Joshua Rubin, JohnDavid Lancaster, Sae Kyu Lee, Matthew Cohen, Matthew M. Ziegler, Nianzheng Cao, Sandra Woodward, Ankur Agrawal, Ching Zhou, Prasanth Chatarasi, Thomas Gooding, Michael Guillorn, Bahman Hekmatshoartabari, Philip Jacob, Radhika Jain, Shubham Jain, Jinwook Jung, Kyu-Hyoun Kim, Siyu Koswatta, Martin Lutz, Alberto Mannari, Abey Mathew, Indira Nair, Ashish Ranjan, Zhibin Ren, Scot Rider, Thomas Roewer, David L. Satterfield, Marcel Schaal, Sanchari Sen, Gustavo Tellez, Hung Tran, Wei Wang, Vidhi Zalani, Jintao Zhang, Xin Zhang, Vinay Shah, Robert M. Senger, Arvind Kumar, Pong-Fei Lu, Leland Chang

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing.

Fan Li, Tiancheng Zhang, Shengjia Cui, Hengyu Liu, Zhibin Ren, Donglin Di, Xiao Wang, Po Zhang, Ge Yu

Frontiers Comput. Sci., December, 2023

Spatiotemporal Changes in Supply-Demand Patterns of Carbon Sequestration Services in an Urban Agglomeration under China's Rapid Urbanization.

Wenhai Hong, Guangdao Bao, Yunxia Du, Yujie Guo, Chengcong Wang, Guodong Wang, Zhibin Ren

Remote. Sens., February, 2023

2022

A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling.

Sae Kyu Lee, Ankur Agrawal, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matthew Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, Monodeep Kar, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang

IEEE J. Solid State Circuits, 2022

2021

A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling.

Ankur Agrawal, Sae Kyu Lee, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matt Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Monodeep Kar, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan

Proceedings of the IEEE International Solid-State Circuits Conference, 2021

RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.

Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020

Recording Urban Land Dynamic and Its Effects during 2000-2019 at 15-m Resolution by Cloud Computing with Landsat Series.

Yulin Dong, Zhibin Ren, Yao Fu, Zhenghong Miao, Ran Yang, Yuanhe Sun, Xingyuan He

Remote. Sens., 2020

Spatiotemporal Characteristics of Urban Surface Temperature and Its Relationship with Landscape Metrics and Vegetation Cover in Rapid Urbanization Region.

Hongbo Zhao, Juntao Tan, Zhibin Ren, Zheye Wang

Complex., 2020

A preliminary exploration of the cooling effect of tree shade in urban landscapes.

Qiuyan Yu, Wenjie Ji, Ruiliang Pu, Shawn Landry, Michael Acheampong, Jarlath O'Neil-Dunne, Zhibin Ren, Shakhawat Hosen Tanim

Int. J. Appl. Earth Obs. Geoinformation, 2020

Spatiotemporal Patterns of Forest Changes in Korean Peninsula Using Landsat Images During 1990-2015: A Comparative Study of Two Neighboring Countries.

Yulin Dong, Zhibin Ren, Zongming Wang, Qiuyan Yu, Lei Zhu, Hao Yu, Guangdao Bao

IEEE Access, 2020

2019

Taxonomy-aware collaborative denoising autoencoder for personalized recommendation.

Chunhong Zhang, Tiantian Li, Zhibin Ren, Zheng Hu, Yang Ji

Appl. Intell., 2019

2017

Taxonomy-Induced Matrix Factorization for Inferring Preference of Mobile Telecom Users.

Zhibin Ren, Chunhong Zhang, Tiantian Li, Zheng Hu

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

2011

The research and implementation of the method of face image standardization based on projection and geometric transformation.

Liu Jing, Zhibin Ren, Juhai Wang

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011