NEWS
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[Jan 2026] Will be serving as a Reviewer for ICML 2026.
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[Jan 2026] Two papers accepted @ ICLR 2026! Hats off to my amazing collaborators!
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[Nov 2025] Co-first paper on AI Ethics accepted @ iConference 2026! See you (virtually) in UK!
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[Nov 2025] Excited to give an invited talk at Researchtrend.AI about our LLM Structured Pruning paper.
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[Oct 2025] I'll be joining Capital One as an Applied Researcher Intern for Summer 2026! See you in NYC!
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[Sep 2025] Will be serving as a Reviewer for ICLR 2026.
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[Aug 2025] I'll be presenting our MoE compression work at KDD 2025. See you in Toronto!
Selected Publications (Please see full list in my CV/Google Scholar)
ResMoE: Space-efficient MoE Module Approximation via Wasserstein Barycenter and Residual Restoration [KDD 2025]
Mengting Ai*, Tianxin Wei*, Yifan Chen*, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
Competing Visions of Ethical AI: A Case Study of OpenAI [iConferece 2026]
Melissa Wilfley*, Mengting Ai*, Madelyn Rose Sanfilippo
WORK EXPERIENCE
Prairie Research Institute (UIUC)
June 2023 – August 2024
Software Development Intern
Engineered a full-stack website leveraging JavaScript, Leaflet, and Python.
TE Connectivity
June 2022 – March 2023
Digital Intern
Developed high-quality backend APIs involving SQL, Docker, RESTful, MongoDB, and AWS.
Institute of Software Chinese Academy of Sciences
October 2021 – January 2022
NLP Algorithm Intern
Engineered a Q&A system using BERT.
Baidu
February 2021 – August 2021
Data Scientist Intern
Used TF-IDF, n-gram, word2vec, XGBoost, and PySpark to implement text-classification and keyword-recognition.