Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training


Mar 28, 2021
Zhuang Wang, Xinyu Wu, T. S. Eugene Ng

* 8 papes 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Real-time Whole-body Obstacle Avoidance for 7-DOF Redundant Manipulators


Dec 29, 2020
Dake Zheng, Xinyu Wu, Jianxin Pang


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Dynamical Systems based Obstacle Avoidance with Workspace Constraint for Manipulators


Dec 29, 2020
Dake Zheng, Xinyu Wu, Jianxin Pang


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DAGMapper: Learning to Map by Discovering Lane Topology


Dec 22, 2020
Namdar Homayounfar, Wei-Chiu Ma, Justin Liang, Xinyu Wu, Jack Fan, Raquel Urtasun

* Published at ICCV 2019 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations


Aug 13, 2020
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun

* European Conference on Computer Vision (ECCV) 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip


Apr 20, 2018
Vishal Saxena, Xinyu Wu, Kehan Zhu

* This is a preprint of proceedings in IEEE International Symposium on Circuits and Systems (ISCAS), May 2018. Copyright 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See \URL{http://www.ieee.org/publications\_standards/publications/rights/index.html} for more information 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses


Jan 09, 2018
Xinyu Wu, Vishal Saxena


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Enabling Bio-Plausible Multi-level STDP using CMOS Neurons with Dendrites and Bistable RRAMs


Dec 19, 2016
Xinyu Wu, Vishal Saxena


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A CMOS Spiking Neuron for Brain-Inspired Neural Networks with Resistive Synapses and In-Situ Learning


Nov 24, 2015
Xinyu Wu, Vishal Saxena, Kehan Zhu, Sakkarapani Balagopal

* IEEE Transactions on Circuits and Systems II: Express Briefs, 62(11), 1088-1092, 2015 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A CMOS Spiking Neuron for Dense Memristor-Synapse Connectivity for Brain-Inspired Computing


Jun 08, 2015
Xinyu Wu, Vishal Saxena, Kehan Zhu

* This is a preprint of an article accepted for publication in International Joint Conference on Neural Networks (IJCNN) 2015 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>