Yihua Zhang
@zyh2022
Ph.D. student in CS at @michiganstateu. Trustworthy and Scalable AI. IBM PhD Fellowship Awardee 2024, Previously @Amazon, @Cisco, and currently @MetaAI.
(2/n) Oral Paper! Task vector is one of the most popular methods for model editing and model merging. We provide a theoretical framework to understand its generalization and limitations. With @LiHongkang_jntm @zyh2022 Shuai Zhang, Meng Wang @sijialiu17 x.com/LiHongkang_jnt…
🔥Our #ICLR2025 Oral paper "When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers" will be presented on 04/26, 4:18 p.m. — 4:30 p.m. at Garnet 216-218. Poster pre will be on 04/26, 10:00 a.m. — 12:30 p.m. #341.
This is great! But will you also consider setting up an official satellite location in China, given the fact that so many great NeurIPS papers come from China and so many Chinese researchers couldn't attend the conference due to the US/Canada Visa issue?
Excited to share our ICML '25 work on robust LLM unlearning—“Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond”. 🔗 Paper: arxiv.org/abs/2502.05374 🗓️ Poster: Wed, July 16 @ 4:30 pm PT | E‑2803 🧵
🚨 Excited to attend #ICML2025 and share our latest work (@OptML_MSU) on LLM unlearning -- think of it as AI surgery: removing harmful knowledge while preserving general utility. Catch us at: 🔹 [Paper 1] Tues, July 15 @ 4:30pm PT | E-1108 📄 Invariance Makes LLM Unlearning…
Check out our oral paper #ICLR25, led by @LiHongkang_jntm and @zyh2022, which shows when and why model editing via task vector stays probably effective, with application to LLM unlearning.
🔥Our #ICLR2025 Oral paper "When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers" will be presented on 04/26, 4:18 p.m. — 4:30 p.m. at Garnet 216-218. Poster pre will be on 04/26, 10:00 a.m. — 12:30 p.m. #341.
I'm thrilled to announce that I've been awarded the prestigious IBM PhD Fellowship 2024! @IBMResearch A heartfelt thank you to my advisor, colleagues, and the @IBM award committee for their support and recognition. #IBMPhDFellowship2024 research.ibm.com/university/awa…
So grateful for such a babysitting-style tutorial! It took me ten minutes to read but I guess it will take me several months to digest. Thanks Manling!
If you are asked "Do you have any questions for me?" during the interview, here are some I like to ask: Research: - How do faculty members collaborate? Do you often apply for funding together? - Is co-advising students a common practice here? - Are there any plans or proposals…
🎉🎉🎉Who needs Santa when your boss is delivering wins like this? 🌟🌟🌟
Honored to receive the Amazon Research Award for advancing machine unlearning techniques--what a fantastic Christmas gift from @AmazonScience! Huge thanks to my hardworking students @OptML_MSU. Looking forward to new and fruitful collaborations with Amazon in 2025! @MSU_EGR
Honored to receive the Amazon Research Award for advancing machine unlearning techniques--what a fantastic Christmas gift from @AmazonScience! Huge thanks to my hardworking students @OptML_MSU. Looking forward to new and fruitful collaborations with Amazon in 2025! @MSU_EGR
Announcing the recipients of the #AmazonResearchAwards. They will have access to Amazon public datasets, AWS AI/ML services and tools, and opportunities to collaborate with Amazon scientists. Learn more about the recipients and their research projects:
🚨 Call to Action: Demand Accountability and Request Refunds from NeurIPS! 🚨 🛑 To @NeurIPSConf: If you don't show your attitude, we will show ours! 🛑 We demand: 1️⃣ A full public apology from NeurIPS and the keynote speaker. 2️⃣ Refunds for all affected attendees. ❗️ Let’s…
“I thought adding some vague and evasive NOTE would make my racially discriminatory behavior seem less offensive.” - Excuse given by MIT professor who is scheming and racist and now in the eye of the storm. NOTE: Most MIT professors who I know are not discriminative or racist.
Mitigating racial bias from LLMs is a lot easier than removing it from humans! Can’t believe this happened at the best AI conference @NeurIPSConf We have ethical reviews for authors, but missed it for invited speakers? 😡
Excited to attend #NeurIPS2024 in Vancouver! 🎉 Check out the OPTML Menu of Innovations @ NeurIPS 2024: 🔗 optml-group.com/images/pubpic/…, featuring our latest research on adversarial ML and machine unlearning for generative AI. Looking forward to reconnecting with old friends and…