Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Yang Song is an Assistant Professor in the Department of Computer Science at Stanford University. He is a leading researcher in the field of artificial intelligence, with a primary focus on deep generative models, particularly score-based generative models and diffusion models. His work aims to develop reliable, controllable, and beneficial AI systems that can understand and interact with the world. Before joining Stanford, he was a research scientist at Google Brain. Yang Song's research has led to significant advancements in generating high-fidelity images, audio, and other complex data structures, and his work is highly influential in the machine learning community.
Yang Song's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-developed and significantly advanced score-based generative models (e.g., Noise Conditional Score Networks - NCSN, and connections to Denoising Diffusion Probabilistic Models - DDPMs), which have become a cornerstone of modern generative AI, enabling state-of-the-art results in image, audio, and molecule generation.
Authored numerous highly cited papers in premier machine learning conferences such as NeurIPS, ICML, and ICLR, shaping the research landscape of generative modeling and deep learning. His work is widely recognized for its theoretical depth and practical impact.
Contributed to methods for improving the controllability, interpretability, and safety of generative models, addressing critical challenges for the responsible deployment of AI technologies.
Received an Outstanding Paper Award at the International Conference on Learning Representations (ICLR) 2021 for the paper 'Score-Based Generative Modeling through Stochastic Differential Equations'.
University of Florida - Year 2012
Beijing Foreign Studies University - Year 2006
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Saks Fifth Avenue is an American luxury department store chain renowned for its high-end designer apparel, handbags, shoes, jewelry, cosmetics, and home furnishings. It offers a curated selection of leading international and American fashion brands, catering to a discerning clientele seeking premium quality, exceptional service, and exclusive products. Its flagship store on Fifth Avenue in New York City is an iconic shopping destination.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.