Professor @PurdueCS, Amazon Scholar @awscloud | Ex @Meta @UWaterloo @IllinoisCS @MSFTResearch @IBMResearch | #SE #LLM4Code #AI #Security
Joined August 2024
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Lin Tan retweeted
We encourage undergraduate, master’s, and early-stage PhD students interested in programming languages to apply for PLMW at PLDI 2026. It is a great opportunity to learn from researchers, build connections, and explore future directions in PL. Apply here: pldi26.sigplan.org/home/PLMW…
Lin Tan retweeted
AWS Security Agent is now generally available.
Scale security testing across your application portfolio with on-demand penetration testing that matches your development velocity.
By conducting tailored attack scenarios, AWS Security Agent identifies validated vulnerabilities with reproducible proof and actionable fixes.
Lin Tan retweeted
Excited to share that I will join NUS (@NUSComputing) as an Assistant Professor this Aug! 🎉
I’m recruiting Ph.D./RAs/interns interested in Program Analysis, Code LLMs, and Agents. 🔥
Self-motivated students with strong backgrounds are especially welcome.
Lin Tan retweeted
From April 12–18, 2026, the world’s premier software engineering conference will bring together approximately 2,000 top researchers, practitioners, innovators, and students in Rio de Janeiro.
Current sponsors and sponsorship opportunities at
conf.researchr.org/info/icse…
Lin Tan retweeted
We measured the effects of more AI coding agents, with the same conclusion: Development velocity (commits, lines added) increases, but it is short lived, and it comes at the cost of code quality and technical debt (static analysis warnings and code complexity go up substantially)
Lin Tan retweeted
Call for Papers: AI Models for Code Improvement. 🧠✨
📅 Submit by 24 Oct 2025.
Special issue of @ieeesoftware
AI is revolutionizing code refactoring, bug fixing & software maintenance. We're seeking papers on how LLMs & other models are transforming dev workflows
Lin Tan retweeted
Missed presenting your ICSE/FSE/ASE paper due to various issues? FSE 2026 has a Re-routed Presentations track—bring your already-accepted research to Montreal (Jul 5–9). Submit the short HotCRP form by Feb 25 (AoE). #FSE2026 #SoftwareEngineering #ICSE
Lin Tan retweeted
On March 2, CEO and Chair of @AMD @LisaSu joins President Mung Chiang for “Strategic Circuits: How University and Industry Partnerships Will Power the AI Era,” a Presidential Lecture on the role high-performance computing plays in advancing innovation. purdue.university/46PVOuP
ALT This is an image of Lisa Su with short hair and glasses, smiling while wearing a dark suit. They are in front of a dark background. The text on the image reads "Presidential Lecture Series."
Lin Tan retweeted
Sequoia partner @sonyatweetybird says we're going from the age of product-led growth to the age of agent-led growth.
"You see this most clearly if you're using Claude Code actively. It says, 'Hey, for a database, you should use Supabase. For hosting, use Vercel.' It's choosing for you, the stuff you should be using."
"Product-led growth brought us closer to the vision of 'best product wins,' but ultimately people are still lazy. They can't read all the reviews, and they kind of default to what looks cool on the website."
"Whereas your agent has infinite time to go and make these choices for you. It can go and read all the documentation, read all the user comments, and figure out [what you need] for your use case."
Lin Tan retweeted
Working on recommendation letters for students applying for PhD/MS. Multiple sources say this year will be tough, as PhD/MS openings will be fewer especially in traditional CS/ECE areas, e.g., not AI related [1].
My suggestion is to apply more broadly and more targetedly. There are still many excellent colleagues who are looking for grad students. You can find some of them in the comments of this LinkedIn post,
linkedin.com/feed/update/urn…
[1] In fact, AI today means everything CS, and I argue that AI needs more domain experts than ever.
Lin Tan retweeted
LLMs can get "Brain Rot"!
Continual pretraining on junk, high-engagement web text causes lasting "cognitive decline" in LLMs, reducing reasoning, long-context, and safety performance.
The main failure mode is thought-skipping, where models skip reasoning steps and adopt “dark” personality traits like narcissism and low agreeableness.
Even strong mitigations such as reflection or further fine-tuning only partially reverse the damage, making data curation a critical safety concern for AI training.
Lin Tan retweeted
The Wu Tsai Institute at Yale University is hiring! Two faculty searches are now open:
Open-rank, Neurocomputation
Deadline: December 1, 2025
Learn more + apply: wti.yale.edu/opportunities/f…
Senior Search, Neurodevelopment
Rolling review
Learn more + apply: wti.yale.edu/opportunities/f…
#KnowTogether #ScienceAtYale
Lin Tan retweeted
This will be presented as an oral talk at NeurIPS Workshop Efficient Reasoning! Stop by to listen to Harry if you plan to attend NeurIPS. Harry is also on the job market this year! @Real_HDong
1/🧵
🎉Introducing Bridge🌉, our parallel LLM inference scaling method that shares info between all responses to an input prompt throughout the generation process! Bridge greatly improves the quality of individual responses and the entire response set!
📜arxiv.org/pdf/2510.01143
Lin Tan retweeted
🚀 Join us at the Paul G. Allen School of Computer Science & Engineering at The University of Washington! We’re hiring tenure-track faculty at all ranks across computer science and computer engineering. 📢
You’ll engage with outstanding, motivated students and colleagues in one of the World's top computing programs.
Our work is highly interdisciplinary, ranging from core computing to global-health, education, accessibility and developing-world technology.
Applications: apply.interfolio.com/174303
More info: ap.washington.edu/ahr/positi…
Lin Tan retweeted
Announcing a new multi-year, strategic partnership with @OpenAI that will provide our industry-leading infrastructure for them to run and scale ChatGPT inference, training, and agentic AI workloads.
This partnership will enable OpenAI to run its advanced AI workloads on AWS’s world-class infrastructure starting immediately. More info in the link below.
Learn more: go.aws/495oX7z
Lin Tan retweeted
Last chance to turn it off.
On Monday, November 3rd, Microsoft will start using your LinkedIn data for AI training. And remember, you're opted in by default.
To toggle it off 👉 Account - Settings & Privacy > Data privacy > Data for Generative AI Improvement.
Lin Tan retweeted
⏰ 3 days left to submit to #LLM4Code2026 (co-located with @ICSEconf 2026)!
Pls submit by Oct 31: llm4code.github.io
We hope to create a platform for researchers/practitioners to discuss the latest in LLMs/Agents for Code across diverse fields: SE, PL, ML, and beyond.
Excited to announce the 3rd LLM4Code workshop collocated with ICSE26 @ICSEconf in Rio, Brazil🇧🇷!
🌟Website: llm4code.github.io
🌟Deadline: Oct 31
🌟8-page research paper/4-page position paper (including references)
@LingmingZhang @yiling__LOU @devanbu @Kexin_Pei @llm4code
Lin Tan retweeted
Congratulations to Vu Le, @Chengnian& @zhendongsu on receiving the Most Influential OOPSLA Paper Award at #SPLASH2025 for their OOPSLA'15 paper "Finding Deep Compiler Bugs via Guided Stochastic Program Mutation"!
📽️Award presentation: youtube.com/watch?v=zoE2w2hu…
@CSatETH @splashcon
Lin Tan retweeted
To give context on age, Grace Hopper began computing at 38, completed the first compiler at 46, helped shape COBOL at 53, kept developing COBOL for the Navy in her 70s, retired from the Navy at 80 & then became a consultant for the Digital Equipment Corporation.
v/@cooperx86
