Yining She

PhD student at CMU @S3DatCMU | Responsible AI, Software Engineering for AI

[Yining She @YiningShe]

@Parvkpr Congrats Parv!!

[Yining She @YiningShe]

If you’re working on making trustworthiness engineerable for LLM-based systems, this workshop may be a good opportunity!

[Sumon Biswas @sumonbis]

📣 Call for Papers: #LLMTrust2026 @FSEconf
Engineering trustworthy LLM systems + responsible LLM use in SE (evidence, tests, metrics, audits, artifacts).

🗓️ Deadline (AoE): Feb 12, 2026

https://t.co/MR0fECKM6P

[FSE 2026 @FSEconf]

Building trustworthy LLM systems is a software engineering problem: testing & validation, RAG/agents, prompt injection & red-teaming, monitoring/observability, provenance & governance.

Submit to LLMTrust @ #FSE2026 ➜ https://t.co/NqKH6vSQTm #LLMTrust #LLM

[Yining She @YiningShe]

🚀 Super cool research by Parv on applying constrained decoding to RFM!

[Parv Kapoor @Parvkpr]

Last year, I came across the idea of constrained decoding (I know, late to the party) and was fascinated. The ability to enforce constraints for LLMs at inference time without fine tuning is a powerful idea. It got me thinking, can we do this for robot foundation models?

1/n🧵

[Parv Kapoor @Parvkpr]

Super proud to share our new RSS 2025 work! I have been working on this with my collaborators for a while now and the sheer complexity of deploying CBFs in the field with perceptual inputs has been so exciting! Come chat with us about it at RSS!

[Parv Kapoor @Parvkpr]

CMU and alumni at ICSE 2025!

[Yining She @YiningShe]

🚀 Excited to present our work at #ICSE2025 next week in Ottawa!

FairSense: Long-term Fairness Analysis of ML-enabled Systems

🗓️Wed, April 30th, 17:00-17:15
📍SE for AI with Security Session @ Room 210
📄Preprint: https://t.co/o5XBweUpir

Let’s connect and chat!

[Parv Kapoor @Parvkpr]

Thrilled to share our work on accelerating neurosymbolic methods for robotics!

STLCG++ encodes logical constraints in a computational graph, achieving 100-1000× faster quantitative evaluation—enabling real-time symbolic reasoning for traj opt, policy learning, & more.

🧵 [1/n]

[Yining She @YiningShe]

Thrilled to see the amazing work my lab mate @Parvkpr has done at @ScaFoAI !

[General Robotics @genrobotics_ai]

We've opened the waitlist for General Robot Intelligence Development (GRID) Beta! Accelerate robotics dev with our open, free & cloud-based IDE. Zero setup needed. Develop & deploy advanced skills with foundation models and rapid prototyping

🔗: https://t.co/jhWZCmxNjb

🧵(1/6)

[Yining She @YiningShe]

@fang_hongbo @b_vasilescu @jherbsleb @shishong @tomzimmermann @profjamesevans Congrats Dr. Fang ! 🎉🎉🎉

[Yining She @YiningShe]

@daye_nam @b_vasilescu @bradamyers @VHellendoorn @baishakhir @andrewmacvean Congrats Dr. Daye!

[Eunsuk Kang @eskang09]

My postdoc, @sumonbis, is on the job market this year! He's done lots of fantastic work in SE4ML, with a focus on improving the fairness of ML-driven systems. If your department is hiring this year, I'd strongly recommend inviting him for a visit!

[Daye Nam @daye_nam]

🎓Applying for @SCSatCMU's PhD program, and seeking feedback as an underrepresented applicant?

This is an excellent chance to get quality feedback from CMU students, who've been through the same process! Plz apply by Sep 30: https://t.co/mffR7ova5X

[Mostly here now: @davidthewid.bsky.social @davidthewid]

Great write up from @willknight in @WIRED about @sarahbmyers, @mer__edith and my new piece:

➡️The rhetoric of "open" AI is misleading. Why? In short, because AI is controlled by Big Tech.

https://t.co/47bzu5mUvf

[Yining She @YiningShe]

@davidthewid Awww! Big congratulations!!!

[CMU Software and Societal Systems Department @S3DatCMU]

The Statement of Purpose may be the toughest part of the #gradschool application. Join #SoftwareEngineering PhD director @p0nk to talk about your SOP during his Nov 15 Grad School Q&A session on Zoom (3-4PM) Learn more + Register (required) at https://t.co/JMpa1raUnK