See up-to-date publications at Google Scholar.

Talks and Presentations

  • Wei Wen, “Scalable Event-driven Neuromorphic Learning Machines 3″, Intel Strategic Research Alliances (ISRA) – UC Berkeley, UC Irvine, Univ of Pitt, UCSD”, 10/27/2016
  • Wei Wen, “A Predictive Performance Model of Distributed Deep Learning on Heterogeneous Systems”, Final Intern Talk, HP Labs, 08/23/2016
  • Wei Wen, Cong Xu, “Variation-Aware Predictive Performance Model for Distributed Deep Learning”, Summer Intern Fair Poster, HP Labs, 08/02/2016
  • Cong Xu, Wei Wen, “An Overview of Deep Learning Accelerator”, Seminar, HP Labs, 07/18/2016
  • Wei Wen, Chunpeng Wu, Yandan Wang, Kent Nixon, Qing Wu, Mark Barnell, Hai Li, Yiran Chen, “A New Learning Method for Inference Accuracy, Core Occupation, and Performance Co-optimization on TrueNorth Chip”, DAC 2016 Poster Session, Austin, TX, 06/2016
  • Wei Wen, Chi-Ruo Wu, Xiaofang Hu, Beiye Liu, Tsung-Yi Ho, Xin Li, Yiran Chen, “An EDA Framework for Large Scale Hybrid Neuromorphic Computing Systems”, DAC 2015 Paper Presentation and Poster Session, San Francisco, CA, 06/2015


  • Conference volunteer, ESWEEK 2016, OCTOBER 2-7, PITTSBURGH, PA, USA
  • Paper reviewer, NIPS 2016
  • Paper reviewer, IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2017