Hiroshi Inoue
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
14
Active years
2005–2023
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICASSP | Sparsity-Driven Joint Blind Deconvolution-Demodulation with Application to Motor Fault Detection. | Varun A. Kelkar, Dehong Liu, Hiroshi Inoue, Makoto Kanemaru |
| 2022 | IECON | Topological Data Analysis for Electric Motor Eccentricity Fault Detection. | Bingnan Wang, Chungwei Lin, Hiroshi Inoue, Makoto Kanemaru |
| 2021 | ISCA | 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 |
| 2019 | AISTATS | Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level. | Hiroshi Inoue |
| 2016 | SPIRE | Fragmented BWT: An Extended BWT for Full-Text Indexing. | Masaru Ito, Hiroshi Inoue, Kenjiro Taura |
| 2014 | ISCAS | A 65-nm CMOS burst-mode CDR based on a GVCO with symmetric loops. | Keiji Kishine, Hiroshi Inoue, Hiromi Inaba, Makoto Nakamura, Akira Tsuchiya, Hidetoshi Onodera, Hiroaki Katsurai |
| 2012 | OOPSLA | A trace-based Java JIT compiler for large-scale applications. | Hiroshi Inoue |
| 2012 | OOPSLA | Adaptive multi-level compilation in a trace-based Java JIT compiler. | Hiroshi Inoue, Hiroshige Hayashizaki, Peng Wu, Toshio Nakatani |
| 2011 | ASPLOS | Improving the performance of trace-based systems by false loop filtering. | Hiroshige Hayashizaki, Peng Wu, Hiroshi Inoue, Mauricio J. Serrano, Toshio Nakatani |
| 2011 | CGO | A trace-based Java JIT compiler retrofitted from a method-based compiler. | Hiroshi Inoue, Hiroshige Hayashizaki, Peng Wu, Toshio Nakatani |
| 2011 | OOPSLA | Reducing trace selection footprint for large-scale Java applications without performance loss. | Peng Wu, Hiroshige Hayashizaki, Hiroshi Inoue, Toshio Nakatani |
| 2010 | IPMU | A Default Risk Model in a Fuzzy Framework. | Hiroshi Inoue, Masatoshi Miyake |
| 2009 | OOPSLA | How a Java VM can get more from a hardware performance monitor. | Hiroshi Inoue, Toshio Nakatani |
| 2009 | PLDI | A study of memory management for web-based applications on multicore processors. | Hiroshi Inoue, Hideaki Komatsu, Toshio Nakatani |
| 2007 | SMC | Vehicle segmentation against heavy occlusion in tunnel images. | Shunsuke Kamijo, Hiroshi Inoue |
| 2006 | ASPLOS | A new idiom recognition framework for exploiting hardware-assist instructions. | Motohiro Kawahito, Hideaki Komatsu, Takao Moriyama, Hiroshi Inoue, Toshio Nakatani |
| 2006 | SMC | Vehicle Segmentation by Edge Classification Method and the S-T MRF Model. | Hiroshi Inoue, Mingzhe Liu, Shunsuke Kamijo |
| 2005 | CHI | Intuitive manipulation techniques for projected displays of mobile devices. | Kosuke Miyahara, Hiroshi Inoue, Yuji Tsunesada, Masanori Sugimoto |
| 2005 | Interact | Untitled record | Masanori Sugimoto, Kosuke Miyahara, Hiroshi Inoue, Yuji Tsunesada |