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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Real20M: A Large-scale E-commerce Dataset for Cross-domain Retrieval

Published in ACM MM, 2023

TL;DR: We propose a cross-domain retrieval benchmark and a corresponding large-scale e-commerce dataset Real20M, which possesses features: (1) cross-domain and multimodal, (2) query-driven, and (3) massive and diverse. We also present a query-driven framework for aligning the product and micro-video domains.

Recommended citation: Yanzhe Chen, Huasong Zhong, Xiangteng He, Yuxin Peng and Lele Cheng, "Real20M: A Large-scale E-commerce Dataset for Cross-domain Retrieval", ACM MM 2023.
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FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval

Published in AAAI, 2024

TL;DR: This paper defines and analyzes the common phenomenon of “visual dominance” in the composed image retrieval task, where retrieval results are dominated by reference images and overlook the modification text. To mitigate this “visual dominance”, we propose a Fashion Enhance-and-Refine Network (FashionERN) that enhances text semantics and filters visual semantics.

Recommended citation: Yanzhe Chen, Huasong Zhong, Xiangteng He, Yuxin Peng, Jiahuan Zhou and Lele Cheng, "FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval", AAAI 2024.
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.