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Rho Canada Partners

Western Technology Investment

iGan Partners

Victor Avenue Capital

HIGHLINE

Meta Discover is a provider of biomedical research discovery tools for papers, biomedical science research material, and content. It offers customized research content in real-time. The company uses machine learning to map biomedical research in real-time with a comprehensive view of the topic-specific to the researcher field and topic emerging bet

Provider of biomedical research discovery tools for papers, biomedical science research material and content

Personalization, Recommendation, Search & Discovery

Elliott Management

You & Mr Jones

Coffin Capital & Ventures

Emerson Collective

SharesPost

Sinai Ventures

Wellington Management

Andreessen Horowitz

FirstMark

Bessemer Venture Partners

SV Angel

Fidelity Investments

Goldman Sachs Investment Partners

First Round Capital

Rakuten Capital

Millennium Technology Value Partners

Industry Ventures

Rizvi Traverse

TrueBridge

Columbia Partners

Hercules Capital

ACE and Company

New York Angels

Crescent Enterprises

Dot Edu Ventures

Acadian Asset

Miroma Ventures

Designer Fund

Kaplan Group Investments

Nucleus Adventure Capital

Sand Hill Venture Capital

Scott Belsky

Stockwell Capital

The Start Project

Social Starts

Darwin Ventures

Slow Ventures

Founders Circle Capital

SWaN & Legend Venture Partners

Blisce

Mosaic Ventures

HDS Capital

Innovation Department

Armat Group

Acequia Capital

RhumbLine

Studio VC

New York Venture Partners

GSV Financial Group

Sound Ventures

Zeno Ventures

All Blue Capital

University Growth Fund

U First Capital

DNB Asset Management

Linfluence Tech

Migration Capital

A.Capital Ventures

Peregrine Ventures

Concept to Co

InvestX

SciFi

nyus

Section Partners

Kleiner Perkins

G Squared

EQUIAM

Founders Future

GC1 Holding

StraightPath Venture Partners

Star Tech NG

Reform Ventures

Legendary Ventures

Odenn Ventures

Harmony Venture Partners

Flying Cow Ventures

All Access Venture Partners

Light Street Investements

dog poop ventures

La Maison Partners

Corton Capital

Global Financial Investor

K2 Global

Social image bookmarking platform provider. Users called Pinners can create various boards on their interests and bookmark photos, articles, products, recipes, life hacks, etc. Users can also follow the boards of others who they find interesting. It also allows users to buy the products tagged in the Pins. The app is available for both iOS and Android users. It monetizes through in-app ads.

Social image bookmarking platform provider

Knowledge Graph, NLP, Personalization, Recommendation (Google Search & Google Play)

Sequoia Capital

Jeff Bezos

David Cheriton

Ram Shriram

Andy Bechtolsheim

Asha Jadeja Motwani

Tugboat Ventures

Sherpalo Ventures

DFJ Growth

Plug and Play Tech Center

Data Point Capital

NUMA

Signatures Capital

Cota Capital

Steelhead Ventures

Mobile10x

Public Investment Fund

Slayton Capital

Greyrock Investments

Siddhi Capital

Liso Venture

Developer of a keyword-based search engine platform. It enables users to search for various information like web pages, pictures, news, weather condition report, and files by providing keywords in the search bar. It uses a page rank algorithm to search and organize results for users. It also offers various features like voice-enabled search which makes challenged people access the platform and multi-lingual access. Its application is available for Android and iOS devices.

Developer of a keyword-based search engine platform

Team: Aristo Team
Project: Elementary Science Question Answering
• Proposed a graph-based algorithm for answering elementary science questions
• Developed an elementary science question solver with state-of-the-art performance
• Published a paper at the EMNLP conference

Team: Interaction and Intent Group
Project: Acronym Disambiguation for Enterprises
• Proposed a novel, end-to-end framework for Acronym Disambiguation in Enterprises
• The proposed framework doesn't require any manually labeled data or domain knowledge, therefore can be deployed to any enterprises
• Developed a high-quality (over 90% accuracy) Acronym Disambiguation system for Microsoft
• Published a paper at the ACL conference

Quest Software

Zurcher Kantonalbank

Herald Investment Management

Tigerlabs

Allegheny Financial

Arbor Advisors

Aviance Capital Partners

State Street

EuraTechnologies

Geode Capital

Norges Bank

Nuveen

Oppenheimer

Steward Financial

Third Point

Virginia Retirement System

Wealth Enhancement

Arbor Investment Advisors

Thoroughbred Financial

Vulcan Capital

Conestoga Capital Advisors

Hanlon

DPH Ventures

Aspen Vista Capital

Ballast Advisors

ACT Wealth Management

Allied Financial Advisors

Vanderbilt Holdings

Bridges Investment Management

KB Financial

VR Venture Partners

BW Ventures

Knuff

SoftBank Group Corp

Reforged Holdings

Foster Dykema Cabot

Elk River Wealth Management

Cipher International

GreenUp Wealth

Black Capital Investments

Equity West

KPitalism

Digital conglomerate and multinational computer corporation. It is a digital conglomerate and multinational computer corporation that develops, manufactures, licenses supports, and sells computer software, consumer electronics, and personal computers and services. The company offers software products such as Microsoft Windows line of operating systems, Microsoft Office office suite, Internet Explorer (IE) web browser, and Hyper-V virtualization solution. Additionally, it also offers Microsoft Dynamics, an ERP solution, for industries of all sizes. It also offers an 'Xbox' - a gaming console for playing high-density video games. In 2021, the company recorded annual revenues of $184.9B and a net profit of $71.19B.

Digital conglomerate and multinational computer corporation

Team: iAd Team
Project: Related App Discovery & App Keywords Extraction
• Proposed a method to discover related apps for app advertisement promotion (lead to 0.056 Conversion Rate increase)
• Developed a tool to automatically extract keywords from app descriptions

EF Invest

Berkshire Hathaway

Morgenthaler

Venrock

Matrix Partners

Kibo Ventures

2020 Ventures

Bluefish Capital

Cardinal Capital Management

Greenlight Capital

Arcturus Capital

Greenline Partners

Leavell Investment Management

Media Investment Group

Thomas White International

Digital Economy Ventures

Emerson Wealth

Safina Ventures

Alive Capital

PSP Investments

Wider Sky

Shore Point Advisors

Matters

Million Labs

Gynther Capital

Leverty Financial Group

The App Store is the best place to discover and download apps you’ll love on your iPhone, iPad, and iPod touch.

Knowledge Graph Construction from Noisy Text Data
• Proposed a generative model to harvest evidences for Named Entity Disambiguation
• Proposed a method for Named Entity Disambiguation with Linkless Knowledge Bases
• Designed efficient algorithms to construct high-quality knowledge graph from noisy text
• Published several papers at the KDD and WWW conferences

Minimum Substring Partitioning
• Proposed and Analyzed the Minimum Substring Partitioning technique
• Applied MSP to efficiently finish the k-mer counting and de Bruijn graph construction tasks in sequence assembly with very small memory footprint (more than 10 times memory usage reduction)
• Press coverage at: http://www.sdsc.edu/News%20Items/PR091913_genome.html
• Published a paper at the VLDB conference

UC Santa Barbara is consistently recognized for excellence across broad fields of study. Set alongside the California coast, its dynamic environment inspires scholarly ambition and creativity. This page highlights UCSB achievements and discoveries as well as opportunities to stay connected to the Gaucho community.

University offering various courses & degrees across diversified streams

Team: Text-to-Speech Team
Project: Numerical String Disambiguation for Text-to-Speech
• Proposed a machine learning based method for Numerical String Disambiguation
• Developed a high-quality (~95% accuracy) Numerical String Disambiguation system for Microsoft's Text-to-Speech product

Experienced Tech Lead in ML/AI

Yang Li