In conjunction with ESWEEK 2019, New York, NY
October 17, 2019
The International Workshop on Highly Efficient Neural Processing is a forum for presentations of state-of-the-art research in highly efficient neural processing.
The workshop will combine both oral presentations and posters, which include invited talks from Facebook, Samsung Electronics, etc.
Advance Program (pdf)
- "Beyond Autoregressive Neural Sequence Models"
Prof. Kyunghyun Cho, NYU/Facebook AI Research
"Security of Intelligent Application"
Prof. Gabriela Nicolescu, Polytechnique Montréal
"Off-chip-memory-traffic-aware Neural Network Architecture Design"
Prof. Youn-Long Lin, National Tsing Hua University
"Algorithm/Hardware Co-design for Energy/Area efficient In-Memory Neural Network Computing"
Prof. Jae-joon Kim, POSTECH
"Unsafe optimizations for efficient on-chip inference via voltage tuning, eNVMs, and sparse encoding"
Dr. Brandon Reagen, NYU/Facebook
"Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss"
Dr. Jae-Joon Han, Samsung Advanced Institute of Technology
"Sub-Milliwatt and Sub-Microwatt Hardware Architecture for Embedded Intelligent Systems"
Prof. Mingoo Seok, Columbia University
"From Matrix to Tensor: Algorithm and Hardware Co-design for Energy-efficient Deep Learning"
Prof. Bo Yuan, Rutgers University
"From 7,000X model compression to 100X acceleration: Achieving real-time execution of ALL DNNs on mobile devices"
Prof. Yanzhi Wang, Northeastern University
Call for Submissions
We invite submissions of papers related to (but not limited to) the following topics:
|Neural processor architectures|
|Systems for accelerating neural processing|
|Memory systems for neural processing|
|Neural network design/implementation frameworks|
|Compilers and runtime environments for neural processing|
|Efficient neural network models and training algorithms|
Please submit your papers to firstname.lastname@example.org by August 31.
The papers should be no more than 4 pages in ACM format.
All submissions will undergo double-blind reviews.
We will hand out the accepted papers only at the workshop without an official proceedings.
Thus, the accepted papers, if unpublished, can be submitted to other venues.
- Yiran Chen, Duke Univ., email@example.com
- Sungjoo Yoo, Seoul National Univ., firstname.lastname@example.org
Technical Program Committee
- Yiran Chen (Duke University) / Daehyun Kim (Samsung) / Jaeyoun Kim (Google) / Jian Ouyang (Baidu) / Xuehai Qian (USC) / Jongsoo Park (Facebook) / Minsoo Rhu (KAIST) / Eunsoo Shim (Samsung Electronics) / Fei Sun (Alibaba) / Yu Wang (Tsinghua) / Dong Hyuk Woo (Google) / Sungjoo Yoo (Seoul National University) / Yuan Xie (UCSB).