Meditor: inference and application of API migration edits. - Shengzhe Xu; Ziqi Dong; Na Meng 001 (ICPC, 2019)

STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models. - Shengzhe Xu; Manish Marwah; Naren Ramakrishnan (CoRR, 2020)

ML-Assisted Optimization of Securities Lending. - Abhinav Prasad; Prakash Arunachalam; Ali Motamedi; Ranjeeta Bhattacharya; Beibei Liu; Hays McCormick; Shengzhe Xu; Nikhil Muralidhar; Naren Ramakrishnan (ICAIF, 2023)

LLM Augmentations to support Analytical Reasoning over Multiple Documents. - Raquib Bin Yousuf; Nicholas Defelice; Mandar Sharma; Shengzhe Xu; Naren Ramakrishnan (IEEE Big Data, 2024)

Forecasting Migration Patterns and Land Border Encounters. - Raquib Bin Yousuf; Shengzhe Xu; Patrick Butler; Brian Mayer; Nathan Self; David Mares; Naren Ramakrishnan (IEEE Big Data, 2024)

Information Guided Regularization for Fine-tuning Language Models. - Mandar Sharma; Nikhil Muralidhar; Shengzhe Xu; Raquib Bin Yousuf; Naren Ramakrishnan (CoRR, 2024)

Are LLMs Naturally Good at Synthetic Tabular Data Generation? - Shengzhe Xu; Cho-Ting Lee; Mandar Sharma; Raquib Bin Yousuf; Nikhil Muralidhar; Naren Ramakrishnan (CoRR, 2024)

Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. - Shengzhe Xu; Christo Kurisummoottil Thomas; Omar Hashash; Nikhil Muralidhar; Walid Saad; Naren Ramakrishnan (IEEE Netw., 2024)

Enhancing Cryptocurrency Trading Strategies: A Deep Reinforcement Learning Approach Integrating Multi-Source LLM Sentiment Analysis. - Nanjiang Du; Yida Zhao; Jintao Wang; Yicheng Zhu; Siyu Xie; Luyao Yang; Yiru Tong; Shengzhe Xu; Wangying Zhang; Zecheng Tang; Kai Xu; Jianfeng Ren; et al. (CIFEr, 2025)

Can an LLM Find Its Way Around a Spreadsheet? - Cho-Ting Lee; Andrew Neeser; Shengzhe Xu; Jay Katyan; Patrick Cross; Sharanya Pathakota; Marigold Norman; John Simeone; Jaganmohan Chandrasekaran; Naren Ramakrishnan (ICSE, 2025)

Optimizing Product Provenance Verification using Data Valuation Methods. - Raquib Bin Yousuf; Hoang Anh Just; Shengzhe Xu; Brian Mayer; Victor Deklerck; Jakub Truszkowski; John Simeone; Jade Saunders; Chang-Tien Lu; Ruoxi Jia 001; Naren Ramakrishnan (CoRR, 2025)

When can isotropy help adapt LLMs' next word prediction to numerical domains? - Rashed Shelim; Shengzhe Xu; Walid Saad; Naren Ramakrishnan (CoRR, 2025)

The Prompt is Mightier than the Example. - Shengzhe Xu; Nikhil Muralidhar; Naren Ramakrishnan (CoRR, 2025)