Shengzhe Xu - RankMe

24 papers A* 2A 1B 3Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Optimizing Product Provenance Verification Using Data Valuation Methods. AAAI Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan
2026	—	`conf`	Utilizing Metadata for Better Retrieval-Augmented Generation. ECIR (1) Raquib Bin Yousuf, Shengzhe Xu, Mandar Sharma, Andrew Neeser, Chris Latimer, Naren Ramakrishnan
2026	J	`jnl`	Utilizing Metadata for Better Retrieval-Augmented Generation. CoRR Raquib Bin Yousuf, Shengzhe Xu, Mandar Sharma, Andrew Neeser, Chris Latimer, Naren Ramakrishnan
2025	A*	`conf`	Can an LLM Find Its Way Around a Spreadsheet? ICSE Cho-Ting Lee, Andrew Neeser, Shengzhe Xu, Jay Katyan, Patrick Cross, Sharanya Pathakota, Marigold Norman, John Simeone, Jaganmohan Chandrasekaran, Naren Ramakrishnan
2025	—	`conf`	Can an LLM Induce a Graph? Investigating Memory Drift and Context Length. ICKG Raquib Bin Yousuf, Aadyant Khatri, Shengzhe Xu, Mandar Sharma, Naren Ramakrishnan
2025	J	`jnl`	Can an LLM Induce a Graph? Investigating Memory Drift and Context Length. CoRR Raquib Bin Yousuf, Aadyant Khatri, Shengzhe Xu, Mandar Sharma, Naren Ramakrishnan
2025	—	`conf`	Enhancing Cryptocurrency Trading Strategies: A Deep Reinforcement Learning Approach Integrating Multi-Source LLM Sentiment Analysis. CIFEr Nanjiang Du, Yida Zhao, Jintao Wang, Yicheng Zhu, Siyu Xie, Luyao Yang, Yiru Tong, Shengzhe Xu, Wangying Zhang, Zecheng Tang, Kai Xu, Jianfeng Ren, Tianxiang Cui
2025	J	`jnl`	Is isotropy a good proxy for generalization in time series forecasting with transformers? Trans. Mach. Learn. Res. Rashed Shelim, Shengzhe Xu, Walid Saad, Naren Ramakrishnan
2025	J	`jnl`	Optimizing Product Provenance Verification using Data Valuation Methods. CoRR Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan
2025	B	`conf`	Retrieval Augmented Generation-Enhanced Distributed LLM Agents for Generalizable Traffic Signal Control with Emergency Vehicles. ICPADS Xinhang Li, Qing Guo, Junyu Chen, Zheng Guo, Shengzhe Xu, Lei Li, Lin Zhang
2025	J	`jnl`	Retrieval Augmented Generation-Enhanced Distributed LLM Agents for Generalizable Traffic Signal Control with Emergency Vehicles. CoRR Xinhang Li, Qing Guo, Junyu Chen, Zheng Guo, Shengzhe Xu, Lei Li, Lin Zhang
2025	J	`jnl`	The Prompt is Mightier than the Example. CoRR Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan
2025	J	`jnl`	When can isotropy help adapt LLMs' next word prediction to numerical domains? CoRR Rashed Shelim, Shengzhe Xu, Walid Saad, Naren Ramakrishnan
2025	—	`conf`	Wireless Knowledge Grounding in Smaller Llms Using Retrieval Augmented Generation and Fine-Tuning. ICC Andrew Neeser, Christo Kurisummoottil Thomas, Shengzhe Xu, Naren Ramakrishnan, Walid Saad
2024	J	`jnl`	Are LLMs Naturally Good at Synthetic Tabular Data Generation? CoRR Shengzhe Xu, Cho-Ting Lee, Mandar Sharma, Raquib Bin Yousuf, Nikhil Muralidhar, Naren Ramakrishnan
2024	B	`conf`	Forecasting Migration Patterns and Land Border Encounters. IEEE Big Data Raquib Bin Yousuf, Shengzhe Xu, Patrick Butler, Brian Mayer, Nathan Self, David Mares, Naren Ramakrishnan
2024	J	`jnl`	Information Guided Regularization for Fine-tuning Language Models. CoRR Mandar Sharma, Nikhil Muralidhar, Shengzhe Xu, Raquib Bin Yousuf, Naren Ramakrishnan
2024	B	`conf`	LLM Augmentations to support Analytical Reasoning over Multiple Documents. IEEE Big Data Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan
2024	J	`jnl`	LLM Augmentations to support Analytical Reasoning over Multiple Documents. CoRR Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan
2024	J	`jnl`	Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. CoRR Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan
2024	J	`jnl`	Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. IEEE Netw. Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan
2023	—	`conf`	ML-Assisted Optimization of Securities Lending. ICAIF Abhinav Prasad, Prakash Arunachalam, Ali Motamedi, Ranjeeta Bhattacharya, Beibei Liu, Hays McCormick, Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan
2020	J	`jnl`	STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models. CoRR Shengzhe Xu, Manish Marwah, Naren Ramakrishnan
2019	A	`conf`	Meditor: inference and application of API migration edits. ICPC Shengzhe Xu, Ziqi Dong, Na Meng