Xupeng Chen

According to our database, Xupeng Chen authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A neural speech decoding framework leveraging deep learning and speech synthesis.

Xupeng Chen, Ran Wang, Amirhossein Khalilian-Gourtani, Leyao Yu, Patricia Dugan, Daniel Friedman, Werner K. Doyle, Orrin Devinsky, Yao Wang, Adeen Flinker

Nat. Mac. Intell., 2024

R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest.

Xupeng Chen, Zhixin Lai, Kangrui Ruan, Shichu Chen, Jiaxiang Liu, Zuozhu Liu

CoRR, 2024

Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models.

Shuchen Meng, Andi Chen, Chihang Wang, Mengyao Zheng, Fangyu Wu, Xupeng Chen, Haowei Ni, Panfeng Li

CoRR, 2024

Test Time Learning for Time Series Forecasting.

Panayiotis Christou, Shichu Chen, Xupeng Chen, Parijat Dube

CoRR, 2024

Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach.

Haowei Ni, Shuchen Meng, Xupeng Chen, Ziqing Zhao, Andi Chen, Panfeng Li, Shiyao Zhang, Qifu Yin, Yuanqing Wang, Yuxi Chan

CoRR, 2024

Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods.

Yiming Zhou, Zixuan Zeng, Andi Chen, Xiaofan Zhou, Haowei Ni, Shiyao Zhang, Panfeng Li, Liangxi Liu, Mengyao Zheng, Xupeng Chen

CoRR, 2024

Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers.

Haowei Ni, Shuchen Meng, Xieming Geng, Panfeng Li, Zhuoying Li, Xupeng Chen, Xiaotong Wang, Shiyao Zhang

CoRR, 2024

2020

Stimulus Speech Decoding from Human Cortex with Generative Adversarial Network Transfer Learning.

Ran Wang, Xupeng Chen, Amirhossein Khalilian-Gourtani, Zhaoxi Chen, Leyao Yu, Adeen Flinker, Yao Wang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Two Stream Active Query Suggestion for Active Learning in Connectomics.

Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel R. Berger, Brian Matejek, Lee Kamentsky, Adi Suissa-Peleg, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister

Proceedings of the Computer Vision - ECCV 2020, 2020