International Workshop on Highly Efficient Neural Processing (HENP)

In conjunction with ESWEEK 2019, New York, NY

October 17, 2019

http://cmalab.snu.ac.kr/HENP2019

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)

Keynote

• "Beyond Autoregressive Neural Sequence Models"
  Prof. Kyunghyun Cho, NYU/Facebook AI Research

Invited Talks

• "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 sungjoo.yoo@gmail.com 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    Thus, the accepted papers, if unpublished, can be submitted to other venues.

Organizers

• Yiran Chen, Duke Univ., yiran.chen@duke.edu
  
• Sungjoo Yoo, Seoul National Univ., sungjoo.yoo@gmail.com

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).

Previous Editions

• HENP 2018, http://cmalab.snu.ac.kr/HENP2018
  
• HENND 2017, http://cmalab.snu.ac.kr/HENND2017