Kai Yi

Unlock your potential at KAUST, ranked #1 in the Arab world by Times Higher Education.​ Work with world-class experts, access top facilities, and lead research with global impact.​ Apply now for MS and PhD programs.

@Meta (3/3)A new chapter begins — grateful for the past and excited about what lies ahead! ✨

🚀 Career Update Excited to start my journey at @Meta, California as a Research Scientist, focusing on model compression and inference acceleration. It’s amazing to meet so many passionate people, and I’m proud to join a team working on impactful research.

@Meta (2/3)📑 Fun fact: my U.S. work visa journey lasted 259 days — a truly challenging process. Huge thanks to my HRBP, attorneys, and everyone involved for the tremendous support to finally make it happen.

@Meta (1/3)🎓 I also recently graduated with a PhD in Computer Science from KAUST. Deep thanks to my advisor @peter_richtarik and the incredible team for their constant support over the past years — couldn’t have made it without you. 🙏

I am not attending @NeurIPSConf this year but many of my students are! Do reach out to Omar Shaikh Omar, Hanmin Li, Kai Yi (@williamyi96), Abdurakhmon Sadiev (@A_Sadiev), Kaja Gruntkowska, Egor Shulgin (@egor_shulg), Artavazd Maranjyan and Marta Pozzi! Here are our papers: check them out! Want to join my lab as an intern, MS/PhD student, PhD student or a postdoc? Apply here: apply.interfolio.com/105097 Plus read this, too: richtarik.org/i_join.html

Thanks @bozavlado for such an enthusiastic endorsement!

I am looking for exceptional postdocs to join my Optimization and Machine Learning Lab at KAUST (richtarik.org/i_team.html)! Apply for the #KAUST Global Fellowship! In addition, upload your files here: apply.interfolio.com/105097 @KAUST_News @AI_KAUST @KaustResearch

Happy to release PV-Tuning, a new fine-tuning technique for highly-compressed LLMs, which sets SOTA PTQ accuracy for 1-2.5bit LLMs. Joint work with @peter_richtarik's lab. arXiv: arxiv.org/abs/2405.14852 Github: bit.ly/3R2VYHl HF Models: bit.ly/4aIEgQF

First day @NeurIPS 2022, come visit us to find out our latest research and hiring opportunities @AI_KAUST. we are at AI booth#415. @KAUST_News @cemseKAUST #NeurIPS2022 #ArtificialIntelligence #MachineLearning

Visit us in our booth number 415 @NeurIPSConf @KAUST_News @cemseKAUST #Artificial_Intelligence #NeurIPS2022 #KAUST

Our paper HGR-Net has been accepted by ECCV 2022 @eccvconf! Congratulations to my collaborators, Xiaoqian Shen, Yunhao Gou, and @moElhoseiny! Your support and work really help! arXiv link: arxiv.org/abs/2203.01386 code link: github.com/WilliamYi96/HG…

Meet #KAUST prospective student: Kai Yi @williamyi96 Read the full story cemse.kaust.edu.sa/news/meet-kaus… @KAUST_News @cemseKAUST

My own project about combining android with @tensorflow --DeepCamera. Based on @tensorflow android example. github.com/WilliamYi96/De…

“Android TensorFlow Machine Learning Example” by @amitiitbhu blog.mindorks.com/android-tensor…

I believe the title will raise a storm of conflicts as it's so ** that just like a little gimmicky. twitter.com/karpathy/statu…

I‘m addicted to ''Research on Machine Learning and Asymmetric Information Game''. Promote to this field with my own efforts. Fighting!

Learning Zone and Performance Zone. More time to exploring, asking, listening, and reflecting. ted.com/talks/eduardo_… via @TEDTalks

@seb_ruder Just like multiple object tracking via deep reinforcement learning? I dare that it is still a tricky problem to be solved.

Survey paper on Geometry of Optimization & Implicit Regularization in Deep Learning with Neyshabur, Tomioka, Srebro arxiv.org/abs/1705.03071