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📅 Important Update: To accommodate the overlap with the KDD paper submission deadline, the KDD workshop proposal deadline has been extended to February 17, 2025 (11:59 PM Anywhere on Earth). Don’t miss this opportunity to be part of KDD 2025! kdd2025.kdd.org/call-for-works… @kdd_news
🚀 KDD 2025 is now accepting workshop proposals! 🗓️ Deadline for Submission: Feb 10th, 2025 (Note: This is 3 weeks earlier than usual—plan ahead!) 📖 Full Call for Workshop Proposals: kdd2025.kdd.org/call-for-works… Don’t miss this opportunity to shape the future of data science!
We are excited to announce the launch of Datasets and Benchmarks Track! It aims to serve as a venue for the presentation of high-quality datasets & benchmarks & tools that are essential for advancing research and applications in data science, data mining, data-centric ML.
KDD-2025 Call for Papers! The abstract submission deadline - both for the Research Track and the Applied Data Science Track - is February 3. Don't miss the deadline! kdd2025.kdd.org/research-track… kdd2025.kdd.org/applied-data-s…
KDD 2025 registration is open! This year, KDD will be held in Toronto, Canada and will take place August 3rd through 7th 2025. Please visit kdd2025.kdd.org/registration/ to register now! For more information about KDD 2025, please visit: kdd2025.kdd.org
On top of that, we’re honored to have received the prestigious National AI Research Resource Pilot Award for our groundbreaking research on enhancing the robustness and trustworthiness of LLMs and foundation models. Excited for what’s next!
✨ Thrilled to share that three papers from my group at NC State have been accepted to NeurIPS 2024! These works push the boundaries in robustness and security across LLMs, graph learning, and equilibrium models.
✨ Thrilled to share that three papers from my group at NC State have been accepted to NeurIPS 2024! These works push the boundaries in robustness and security across LLMs, graph learning, and equilibrium models.
My book on probability and statistics book has been released. Table of contents: charuaggarwal.net/prob-toc.pdf Publisher page:link.springer.com/book/10.1007/9… (Only source for electronic version) Amazon page: amazon.com/Probability-St…
The recipients, representing 51 universities in 15 countries, will have access to Amazon public datasets, AWS AI/ML services and tools, and more. Congrats to the 99 awardees! #AmazonResearchAwards amazon.science/research-award…
✨ Wrapping up an incredible #SIAMSDM24! 🚀 Massive thanks to the organizers for their hard work and dedication in making SDM24 a success. Huge appreciation to all presenters for sharing their expertise with our DM community! See you in SDM25! #ConferenceWrapUp #SeeYouNextYear 👋
🎤 Excited to announce the stellar lineup of invited speakers for the upcoming SIAM SDM 2024! 📷 Get ready to be inspired by leading researchers in the field as they share their insights, strategies, and cutting-edge discoveries! #SIAMSDM24 #DataMining #KeynoteSpeakers
You may know gene language models, but what about cell language models? We just published a blog on Valence Portal about our ICLR 2024 paper CellPLM: Pre-training of Cell Language Model Beyond Single Cells. Check it out📷: portal.valencelabs.com/blogs/post/cel…
I'd like to start 2024 with some thoughts on the state of optimization theory. To begin with, let me quote Nesterov's 2003 book: "The main fact, which should be known to any person dealing with optimization models, is that, in general, the optimization problems are unsolvable" 🧵
We are hiring! CSE@MSU is going through a major expansion in the next few years. This is an open search and candidates in all areas of computer science are welcome to apply. careers.msu.edu/en-us/job/5162…
Join us for an exciting tutorial on Large-Scale Graph Neural Networks at #KDD2023 !! We delve into not only classic scaling approaches but also the latest intriguing and promising emerging techniques in the field. 📅 Time: 2:00 pm - 5:00 pm, August 9th 📍 Location: Room 202C
It is my great honor to receive the prestigious #KDD2023 Outstanding Dissertation Award (Runner-up) for my thesis "Efficient and Secure Message Passing for Machine Learning"! Thanks my advisor @tangjiliang and mentors for their support and guidance! @kdd_news
The second edition of my book on neural networks and deep learning has just been released. The book is substantially expanded. Table of Contents: lnkd.in/e5Zi2s2A Publisher Page from Springer: lnkd.in/e9DHKjaY Amazon Page: lnkd.in/e4wJc88P
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