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We're excited to invite you to attend DLSP 2025, co-located with IEEE S&P on May 15! dlsp2025.ieee-security.org Themes: + Security & Privacy for ML + ML for Security & Privacy Invited speakers include: + David Wagner (UC Berkeley) + Yuan Tian (UCLA) + Anoop Singhal (NIST) More…
📢 Excited to share our new paper: Challenges and Paths Towards AI for SWE We discuss: 🛠️ 6 sub-tasks needed for SWE 🤖 9 challenges of today's AI in SWE 🔮 9 future directions to address the challenges w/ collaborators from MIT, Berkeley, Cornell, Stanford, and UPenn ⬇️ (1/n)
Enhancing Code LLM Training with Programmer Attention Introduces an eye-tracking path augmentation method to expand programmer attention datasets, a pattern abstraction step that refines raw fixations into learnable attention motifs, and a reward-guided strategy for integrating…
A prime example of how merging formal verification with a disaggregated design can redefine distributed file systems
🚀 Day 5 of #OpenSourceWeek: 3FS, Thruster for All DeepSeek Data Access Fire-Flyer File System (3FS) - a parallel file system that utilizes the full bandwidth of modern SSDs and RDMA networks. ⚡ 6.6 TiB/s aggregate read throughput in a 180-node cluster ⚡ 3.66 TiB/min…
Excited to serve as the Web Chair of HumanAISE@FSE'25 Paper Deadline: Feb 25, 2025 Website: humanai4se.github.io Join us in shaping the future of Human-Centered AI4SE!
We will host the 1st workshop on human-centered AI for SE, colocated with FSE 2025! Please consider participating and discussing on the exciting topics with us! humanai4se.github.io
Feel free to join our research presentation at 2pm and poster session at 3:30pm🐶 (p.s. the poster has been displayed, but will stay unattended until 3:30pm lol)
My student Yifan Zhang @CoderDoge1108 will present our paper "EyeTrans: Merging Human and Machine Attention for Neural Code Summarization" @FSEconf today 2pm at Pitomba! Very first work merging human attention via eye tracking with Transformer Attention! Artifacts available :)
Photoshop is the new Eclipse😜(confirmed)
Me: “Wasn’t it cloudy when we took our group eclipse pic?” My student: “Ya! I photoshopped the sun in our picture!” 😂😂😂
Excited to announce our new paper in IEEE Trans. in Med. Imaging, "SWSSL: Sliding window-based self-supervised learning for anomaly detection in high-resolution images", led by Haoyu Dong! ieeexplore.ieee.org/abstract/docum… Code: github.com/mazurowski-lab… (1/N)
At least one opening for our teaching track! I'm on the search committee, pls let me know if you have any questions :)
Professor of the Practice, Vanderbilt University, Nashville, TN ift.tt/DhwIugk
First on our agenda, ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection. A nice collaboration with academia and industry to enable learning AST structures for better clone detection. @InteNSEWorkshop @ICSEconf
I'm thrilled to announce that I will be joining InfraLab at TikTok to conduct AI for system research this summer. See you in San Jose!
My first in person conference at @ASE_conf Doctoral Symposium. Nice to see the beautiful autumn in Detroit🍂
Excited to share with everyone an accessible, intuitive tutorial on diffusion models! If you're curious about the math behind diffusion models and how their different interpretations can be unified, please check it out! Stay tuned for a blog post soon! arxiv.org/abs/2208.11970
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