NEWS
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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!
PUBLICATIONS
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
APEX2: Adaptive and Extreme Summarization for Personalized Knowledge Graphs [KDD 2025]
Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He
PyG-SSL: A Graph Self-Supervised Learning Toolkit [CIKM 2025]
Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
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.