Shengzhe Xu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Discrete Optimization

Data Generation

Top Venues

Publications

Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. CoRR (2024)
Shengzhe Xu, Cho-Ting Lee, Mandar Sharma, Raquib Bin Yousuf, Nikhil Muralidhar, Naren Ramakrishnan
Are LLMs Naturally Good at Synthetic Tabular Data Generation? CoRR (2024)
Mandar Sharma, Nikhil Muralidhar, Shengzhe Xu, Raquib Bin Yousuf, Naren Ramakrishnan
Information Guided Regularization for Fine-tuning Language Models. CoRR (2024)
Abhinav Prasad, Prakash Arunachalam, Ali Motamedi, Ranjeeta Bhattacharya, Beibei Liu, Hays Mccormick, Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan
ML-Assisted Optimization of Securities Lending. ICAIF (2023)
Shengzhe Xu, Manish Marwah, Naren Ramakrishnan
STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models. CoRR (2020)
Shengzhe Xu, Ziqi Dong, Na Meng
Meditor: inference and application of API migration edits. ICPC (2019)