Xueyan Zou
@xyz2maureen
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Building 🤖 @UCSDJacobs; PhD 🎓 @UWMadison; Intern @MSFTResearch
Joined July 2020
We have spent nearly a year from building this work to the time of a solid release. And it does accurately working towards building effective and efficient pipeline for DexHand data, which is one of the core problem for DexHand manipulation. Congrats to the team, and especially.
How to generate billion-scale manipulation demonstrations easily? Let us leverage generative models! 🤖✨. We introduce Dex1B, a framework that generates 1 BILLION diverse dexterous hand demonstrations for both grasping 🖐️and articulation 💻 tasks using a simple C-VAE model.
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RT @_cheng_lin: 🔎Excited to share our PDT: Point Distribution Transformation with Diffusion Models (SIGGRAPH2025)!.💡While autoregressive mo….
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This is the problem I have been interested in for a long time, how much the transformer can remember. And also, at different training stages, what is the compression property?.
Why do FFNs use ReLU instead of more precise ones like Exp?. "We propose the following hypothesis: A kernel with lower retrieval precision encourages a more polysemantic key–value memory: multiple unrelated facts can be stored under the same key space". Great and inspiring read!
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RT @RchalYang: How can we leverage diverse human videos to improve robot manipulation?. Excited to introduce EgoVLA — a Vision-Language-Act….
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RT @YuncongYY: Test-time scaling nailed code & math—next stop: the real 3D world. 🌍 . MindJourney pairs any VLM with a video-diffusion Worl….
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This is very interesting!.
NeuralOS. Towards Simulating Operating Systems via Neural Generative Models. a generative OS that predicts screen images from user inputs, combining an RNN for computer state modeling and a diffusion model for rendering
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RT @FEijkelboom: Flow Matching (FM) is one of the hottest ideas in generative AI - and it’s everywhere at #ICML2025. But what is it? And w….
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RT @hermanhwdong: 🔥Happy to announce that the AI for Music Workshop is coming to #NeurIPS2025!. We have an amazing lineup of speakers! We c….
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RT @liyuan_zz: Point maps have become a powerful representation for image-based 3D reconstruction. What if we could push point maps even fu….
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A serious question: how to make the reviewer read the one-page rebuttal and have a better impression of the paper?.
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RT @AdamWHarley: We made a @gradio demo for AllTracker!. AllTracker is the current state-of-the-art for general-purpose point tracking. The….
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RT @DoubleHan07: Excited to present DOGlove at #RSS2025 today!.We’ve brought the glove with us, come by and try it out!.📌 Poster: All day a….
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RT @jianglong_ye: How to generate billion-scale manipulation demonstrations easily? Let us leverage generative models! 🤖✨. We introduce Dex….
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This is interesting!.
Making touch sensors has never been easier!.Excited to present eFlesh, a 3D printable tactile sensor that aims to democratize robotic touch. All you need to make your own eFlesh is a 3D printer, some magnets and a magnetometer. See thread 👇and visit
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This website is pretty.
Can scaling data and models alone solve computer vision? 🤔.Join us at the SP4V Workshop at #ICCV2025 in Hawaii to explore this question!. 🎤 Speakers: @danfei_xu, @joaocarreira, @jiajunwu_cs, Kristen Grauman, @sainingxie, @vincesitzmann. 🔗
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Is this paper written in LLM in any part 🤭.
It’s a hefty 206-page research paper, and the findings are concerning. "LLM users consistently underperformed at neural, linguistic, and behavioral levels". This study finds LLM dependence weakens the writer’s own neural and linguistic fingerprints. 🤔🤔. Relying only on EEG,
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RT @xiaolonw: Congratulations to the graduation of @Jerry_XU_Jiarui @JitengMu @RchalYang @YinboChen !. I am excited for their future journe….
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Thanks for giving me the chance the talk again! Learn a lot during the preparation as well!.
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RT @Isabella__Liu: I’ll be at #CVPR2025 from June 11 to 14. Feel free to reach out if you’d like to connect or have a chat.🤩. I’ll also be….
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RT @RickyTQChen: Padding in our non-AR sequence models? Yuck. 🙅. 👉 Instead of unmasking, our new work *Edit Flows* perform iterative refine….
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