Two Stream Active Query Suggestion for Active Learning in Connectomics. - Zudi Lin; Donglai Wei 001; Won-Dong Jang; Siyan Zhou; Xupeng Chen; Xueying Wang 002; Richard Schalek; Daniel R. Berger; Brian Matejek; Lee Kamentsky; Adi Suissa-Peleg; Daniel Haehn; et al. (ECCV (18), 2020)

Stimulus Speech Decoding from Human Cortex with Generative Adversarial Network Transfer Learning. - Ran Wang; Xupeng Chen; Amirhossein Khalilian-Gourtani; Zhaoxi Chen 005; Leyao Yu; Adeen Flinker; Yao Wang 001 (ISBI, 2020)

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)

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)

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)

Test Time Learning for Time Series Forecasting. - Panayiotis Christou; Shichu Chen; Xupeng Chen; Parijat Dube (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)

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)

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 001; Adeen Flinker (Nat. Mac. Intell., 2024)

Multi-head Reward Aggregation Guided by Entropy. - Xiaomin Li; Xupeng Chen; Jingxuan Fan; Eric Hanchen Jiang; Mingye Gao (CoRR, 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 (CoRR, 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, 2025)