Yushi Jing  ( Kevin Jing )

Currently leading an engineering team at Pinterest. 

Our goal is to deliver a visual search and related recommendation experience that is fast, relevant and interactive. We rely on open source tools and the latest deep learning methods.

Previously co-founder at VisualGraph (acquired by Pinterest '13) and software engineer / research scientist at Google ('04, full-time '06-12).  BS, Ph.D. in CS from Georgia Tech, studied stats/mse at Stanford.


Yushi Jing, Kevin Jing
Features/Products Launched:

img    pinterest        swirl

This incredible feature could change shopping forever, Business Insider, 2016.
Introducing automatic object detection to visual search, Pinterest blog, 2016.
How Pinterest reached 150 million monthly users with machine learning, Venture Beat, 2016.
Our crazy-fun new visual search tool, Pinterest blog, 2015
Pinterest Sharpens its Visual Search Skills, Wall Street Journal, 2015
AI advance makes it possible to search, shop with images, MIT Technology Review, 2015
Pinterest improves Related Pins with deep learning, Venture Beat, 2015            
Pinterest acquires Image Recognition and Visual Search Startup VisualGraph,  Techcrunch, 2014
Google Image Swirl - In search of images worth 1000 results, Wall Street Journal, 2012
A Google Prototype for a Precision Image Search, New York Times, 2008
A farewell to keywords, Scientific American, 2006

Publications:


Related Pins at Pinterest, The evolution of a real-world recommender system, accepted at World Wide Web (WWW), 2017

Training and Evaluating Multimodal Word Embeddings with Large-scale Web annotated Images, Neural Information Processing Systems (NIPS), 2016

Visual Search at Pinterest,  Knowledge Discovery and Data (KDD), 2015

Sketch-based manga retrieval, International Conference on Image Processing (ICIP), 2013

Google Image Swirl:  A Large-scale Content-based Image Visualization System, World Wide Web (2012)

Learning Query-specific Distance Functions for Large-scale Image Search, Transactions on Multimedia (TMM) (2012)

Image Saliency: from Local to Global Context, Computer Vision and Pattern Recognition (CVPR), 2011

Large-scale Image Annotation using Visual Synset, International Conference on Computer Vision (ICCV), 2011

Video Suggestion and Discovery for YouTube.   World Wide Web (WWW), 2008

Applying PageRank to Large-Scale Image Search, Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2008

PageRank for Product Image Search,  World Wide Web (WWW), 2008

Boosted Bayesian Network Classifier,  Machine Learning Journal (ML), 2008

Canonical Image Selection from the Web,  International Conference on Image and Video Retrieval (CIVR), 2007

Efficient Discriminative Learning of Bayesian Network Classifier, International Conference on Machine Learning (ICML), 2005 -- Best Student Paper

Large-scale Image-based Adult-content Filtering, International Conference on Computer Vision Theory, 2005