Activity
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We have live demo of Gaussian Splatting Avatar Agent on AR glasses. Welcome to Qualcomm booth at CVPR and talk to him
We have live demo of Gaussian Splatting Avatar Agent on AR glasses. Welcome to Qualcomm booth at CVPR and talk to him
Liked by Ruijin Wu
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Over the past few weeks, I’ve been working on Beacon — an rare disease clinical trial discovery platform focused on improving patient access to…
Over the past few weeks, I’ve been working on Beacon — an rare disease clinical trial discovery platform focused on improving patient access to…
Liked by Ruijin Wu
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Following a business restructuring last week, some truly phenomenal colleagues are now looking for their next chapters. These are top-tier…
Following a business restructuring last week, some truly phenomenal colleagues are now looking for their next chapters. These are top-tier…
Liked by Ruijin Wu
Experience
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Education
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Publications
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Correct resolution rendering of trimmed spline surfaces
Computer-Aided Design
Languages
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English
Native or bilingual proficiency
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Chinese
Native or bilingual proficiency
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Cantonese
Native or bilingual proficiency
More activity by Ruijin
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June 10 edit: ATTENTION: Laid off employees Here is how to message a recruiter and be MUCH more likely to get a response: DO: 1. Find a specific…
June 10 edit: ATTENTION: Laid off employees Here is how to message a recruiter and be MUCH more likely to get a response: DO: 1. Find a specific…
Liked by Ruijin Wu
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Introducing the Sama (atmosphere/moment in Urdu, sky in Arabic) Game Engine: https://lnkd.in/gC3z-QbS, built with Claude. I've always wanted to…
Introducing the Sama (atmosphere/moment in Urdu, sky in Arabic) Game Engine: https://lnkd.in/gC3z-QbS, built with Claude. I've always wanted to…
Liked by Ruijin Wu
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https://lnkd.in/gysNe9hq Excited to share our photorealistic Gaussian splatting avatar on edge device at NeurIPS . Thanks to everyone who stopped by,…
https://lnkd.in/gysNe9hq Excited to share our photorealistic Gaussian splatting avatar on edge device at NeurIPS . Thanks to everyone who stopped by,…
Liked by Ruijin Wu
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I’m excited to announce that I’ve joined AMD as a Fellow on the ROCm team, working on hardware/software co-design. Grateful for the opportunity and…
I’m excited to announce that I’ve joined AMD as a Fellow on the ROCm team, working on hardware/software co-design. Grateful for the opportunity and…
Liked by Ruijin Wu
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Today is my last day at Intel. It has been a privilege to help shape and scale Intel’s GPU and architecture efforts alongside exceptional…
Today is my last day at Intel. It has been a privilege to help shape and scale Intel’s GPU and architecture efforts alongside exceptional…
Liked by Ruijin Wu
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One of the highlights of my year is attending the AMD EMEA Tech Summit, which is an opportunity to connect with colleagues across the region and…
One of the highlights of my year is attending the AMD EMEA Tech Summit, which is an opportunity to connect with colleagues across the region and…
Liked by Ruijin Wu
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Today I got my Galaxy Z Flip 7 powered by Xclipse 950 GPU which we started developing 3 years ago during pandemic. Some of those months are the…
Today I got my Galaxy Z Flip 7 powered by Xclipse 950 GPU which we started developing 3 years ago during pandemic. Some of those months are the…
Liked by Ruijin Wu
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We have released, CGVQM, a new visual quality metric designed specifically for graphics. The paper was presented at HPG and warmpy welcomed by the…
We have released, CGVQM, a new visual quality metric designed specifically for graphics. The paper was presented at HPG and warmpy welcomed by the…
Liked by Ruijin Wu
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If you're interested in working in RT architecture (all aspects of it - analysis, data structures, optimization, neural rendering techniques), we're…
If you're interested in working in RT architecture (all aspects of it - analysis, data structures, optimization, neural rendering techniques), we're…
Liked by Ruijin Wu
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A little late, but worth the post! I had a great weekend at the MBA Summit in Atlanta, GA. Between leadership workshops, industry immersion at Delta…
A little late, but worth the post! I had a great weekend at the MBA Summit in Atlanta, GA. Between leadership workshops, industry immersion at Delta…
Liked by Ruijin Wu
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I’m happy to share that I’m starting a new position as Embedded Software Dev Engineer at Amazon!
I’m happy to share that I’m starting a new position as Embedded Software Dev Engineer at Amazon!
Liked by Ruijin Wu
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And it’s a wrap! A cut of the entire industry in the picture. We are thankful to our partners at #Microsoft #DirectX for accommodating our talk on…
And it’s a wrap! A cut of the entire industry in the picture. We are thankful to our partners at #Microsoft #DirectX for accommodating our talk on…
Liked by Ruijin Wu
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Have you been wondering what Intel has been cooking for game developers? Have you felt like your game is too large or requires too much GPU memory?…
Have you been wondering what Intel has been cooking for game developers? Have you felt like your game is too large or requires too much GPU memory?…
Liked by Ruijin Wu
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Vijay Kumar Vaddi
NetEase tested millions of short videos. Most flopped completely. Then researchers built something that changed everything. 70% of videos got zero views. 87% of users ignored everything they saw. Sound familiar? Current recommendation engines fail when feedback is sparse. Researchers Junyu Cao and Yan Leng had a breakthrough. They created the "Adaptive Acquisition Tree" (AAT). Here's how it works: 📊 Groups users by demographics and behavior 🎯 Clusters videos by type (dance, comedy, education) 🔄 Continuously refines groups based on viewing time 📈 Adapts to changing preferences in real-time The results? Mind-blowing. AAT boosted viewing time by 30% to 100% in simulations. That's potentially doubling TikTok-style engagement. But here's the bigger picture. This isn't just about short videos. The same approach could transform: • Search engines • Advertising platforms • Content moderation • Task matching systems "It's the same goal: acquiring data to better understand the people on the platform," explains researcher Yan Leng. The key insight? Stop treating all users the same. Start with broad groups, then split into smaller clusters as you learn. This research shows AI recommendation systems are far from perfect. There's massive room for improvement. What platform do you think would benefit most from this adaptive approach? #AI #MachineLearning #RecommendationSystems 𝗦𝗼𝘂𝗿𝗰𝗲꞉ https://lnkd.in/g-zMRpHn
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