activity
20202026
most citedA Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition

17 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

RadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findings

Sitong Zhou, Meliha Yetisgen, Mari Ostendorf

Tracking findings in longitudinal radiology reports is crucial for accurately identifying disease progression, and the time-consuming process would benefit from automatic summariza…

cs.AI2025

Traj-CoA: Patient Trajectory Modeling via Chain-of-Agents for Lung Cancer Risk Prediction

Sihang Zeng, Yujuan Fu, Sitong Zhou +6

Large language models (LLMs) offer a generalizable approach for modeling patient trajectories, but suffer from the long and noisy nature of electronic health records (EHR) data in…

cs.AI2025

We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning

Runqi Qiao, Qiuna Tan, Peiqing Yang +11

Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities across various tasks, but still struggle with complex mathematical reasoning. Existing research p…

cs.CL2023

Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts

Sitong Zhou, Meliha Yetisgen, Mari Ostendorf

This paper explores methods for extracting information from radiology reports that generalize across exam modalities to reduce requirements for annotated data. We demonstrate that…

cs.CL2022★ 2 cited

Generalizing through Forgetting -- Domain Generalization for Symptom Event Extraction in Clinical Notes

Sitong Zhou, Kevin Lybarger, Meliha Yetisgen +1

Symptom information is primarily documented in free-text clinical notes and is not directly accessible for downstream applications. To address this challenge, information extractio…

eess.AS2020★ 17 cited

A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition

Sitong Zhou, Homayoon Beigi

This paper presents a transfer learning method in speech emotion recognition based on a Time-Delay Neural Network (TDNN) architecture. A major challenge in the current speech-based…