Xupeng Chen

According to our database, Xupeng Chen authored at least 24 papers between 2020 and 2026.

Collaborative distances:

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

2026

MindAdapter: Few-Shot Parameter-Efficient Residual Calibration of Cross-Subject Brain-to-Visual Decoding Models.

Jiaxiang Liu, Jiawei Du, Xupeng Chen, Guoqi Li, Jiang Cai, Simon Fong, Mingkun Xu

CoRR, May, 2026

AI-Driven Alpha Decay: Algorithmic Homogenization, Reflexive Signal Erosion, and the Paradox of Intelligent Markets.

Shuchen Meng, Xupeng Chen

CoRR, May, 2026

Iterative Multimodal Retrieval-Augmented Generation for Medical Question Answering.

Xupeng Chen, Binbin Shi, Chenqian Le, Jiaqi Zhang, Kewen Wang, Ran Gong, Jinhan Zhang, Chihang Wang

CoRR, April, 2026

Auditing Frontier Vision-Language Models for Trustworthy Medical VQA: Grounding Failures, Format Collapse, and Domain Adaptation.

Xupeng Chen, Binbin Shi, Chenqian Le, Qifu Yin, Lang Lin, Haowei Ni, Ran Gong, Panfeng Li

CoRR, April, 2026

Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features.

Chenqian Le, Ruisi Li, Beatrice Fumagalli, Yasamin Esmaeili, Xupeng Chen, Amirhossein Khalilian-Gourtani, Tianyu He, Adeen Flinker, Yao Wang

CoRR, April, 2026

Artificial Intelligence and Systemic Risk: A Unified Model of Performative Prediction, Algorithmic Herding, and Cognitive Dependency in Financial Markets.

Shuchen Meng, Xupeng Chen

CoRR, April, 2026

Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption.

Xupeng Chen

CoRR, March, 2026

When AI Levels the Playing Field: Skill Homogenization, Asset Concentration, and Two Regimes of Inequality.

Xupeng Chen, Shuchen Meng

CoRR, March, 2026

VANGUARD: Vehicle-Anchored Ground Sample Distance Estimation for UAVs in GPS-Denied Environments.

Yifei Chen, Xupeng Chen, Feng Wang, Niangang Jiao, Jiayin Liu

CoRR, March, 2026

ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models.

Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI.

Chenqian Le, Yilin Zhao, Nikasadat Emami, Kushagra Yadav, Xujin, Xupeng Chen, Yao Wang

CoRR, September, 2025

Machine Learning-Based Prediction of Speech Arrest During Direct Cortical Stimulation Mapping.

Nikasadat Emami, Amirhossein Khalilian-Gourtani, Jianghao Qian, Antoine Ratouchniak, Xupeng Chen, Yao Wang, Adeen Flinker

CoRR, September, 2025

Instruction Tuning and CoT Prompting for Contextual Medical QA with LLMs.

Chenqian Le, Ziheng Gong, Chihang Wang, Haowei Ni, Panfeng Li, Xupeng Chen

CoRR, June, 2025

Multi-head Reward Aggregation Guided by Entropy.

Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao

CoRR, March, 2025

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs.

Xiaomin Li, Zhou Yu, Zhiwei Zhang, Xupeng Chen, Ziji Zhang, Yingying Zhuang, Narayanan Sadagopan, Anurag Beniwal

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

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

Proceedings of the International Joint Conference on Neural Networks, 2025

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

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