"All truths are easy to understand once they are discovered; the point is to discover them."
—Galileo Galilei
About Me
Yifan Xu is currently a Senior ML Research Engineer at Coinbase, where he investigates the potential of using AI and blockchain technology together to develop innovative solutions. He is also working on large language models (LLM) as part of his ongoing research. Yifan is passionate about advancing the field of AI and using it to tackle complex and diverse problems.
Before joining Coinbase, Yifan completed his Ph.D. in Cognitive Science at UC San Diego, where he also received his B.S. in Computer Science and Engineering. Under the supervision of Professor Zhuowen Tu, his research is centered around addressing the intricate complexities within several domains of artificial intelligence, such as natural language processing, computer vision, and reinforcement learning. Yifan has published his work in top conferences such as ICLR, CVPR, ICCV, and ACL.
News
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The future of AI-Driven Content at Coinbase: Expanding Horizons and Enhancing User Experience. Tl;dr: Coinbase aims to be at the forefront of integrating AI into its operations to enhance efficiency and user engagement. Last year marked a significant milestone with the initial rollout of 1,000 AI-generated crypto descriptions, crafted using our in-house Large Language Model (LLM) service. This achievement underscores our commitment to tailoring advanced LLM technology to meet the unique needs of Coinbase teams and customers. Read more
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Introducing BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions! We also explored some real-world applications, including YouTube thumbnail analysis! Code on GitHub && Try our demo!
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CoaT Model Becomes Essential: Our CoaT (Co-Scale Conv-Attentional Transformer) image classification model hosted on Hugging Face has achieved 30K+ downloads every month. It has become one of the favored Transformers in various domains, including Kaggle competitions, industry, and academia, underscoring its growing prominence. Explore its capabilities today!
Publication
* indicates equal contribution
LLM/VLM
Blockchain
Nature Language Processing
- "Convolutions and Self-Attention: Re-interpreting
Relative
Positions in Pre-trained Language Models", TA
Chang, Y Xu, W
Xu, Z Tu, ACL 2021
- "Rethinking exposure bias in language modeling", Y Xu*, K
Zhang*, H Dong, Y Sun, W Zhao, Z Tu, arXiv preprint
Reinforcement Learning
- "On the Feasibility of Cross-Task Transfer with
Model-Based
Reinforcement Learning", Y Xu*, N Hansen*, Z Wang,
YC Chan,
H
Su, Z Tu, ICLR 2023
- "Neural Program Synthesis By Self-Learning", Y Xu*,
L Dai*, U Singh, K Zhang, Z Tu, arXiv preprint
Computer Vision
- "Co-scale conv-attentional image transformers", W
Xu*, Y Xu*, T
Chang, Z Tu, ICCV 2021 (Oral)
- "Line Segment Detection Using Transformers without Edges",
Y Xu*, W Xu*, D Cheung, Z Tu, CVPR 2021 (Oral)
- "Pose Recognition with Cascade Transformers", K Li,
S Wang,
X
Zhang, Y Xu, W Xu, Z Tu, CVPR 2021
- "Attentional Constellation Nets for Few-Shot Learning",
W
Xu*,
Y Xu*, H Wang*, Z Tu, ICLR 2021
- "Guided variational autoencoder for disentanglement
learning",
Z Ding*, Y Xu*, W Xu, G Parmar, Y Yang, M Welling, Z Tu, CVPR
2020
Services
Organizer
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I am the primary organizer for the Machine Learning and Blockchain Summit at Coinbase in 2023 and 2024. This summit is a pioneering event that unites specialists in both machine learning and blockchain technology. We are excited to invite you to join us at this year's gathering!
Reviewer
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I have dedicated my time to reviewing for top-tier ML/AI conferences such as CVPR, ICCV, ECCV, NeurIPS, and ICLR since 2021.
About This Site
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