activity
20232026
most citedComparing Native and Non-native English Speakers' Behaviors in Collaborative Writing through Visual Analytics

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment

Saad Mohammad Abrar, Eesha Kurella, Arnav Dadarya +3

Human mobility is central to urban planning, transportation, public health, and emergency response, yet fine-grained trajectory data are often proprietary, restricted, and privacy-…

cs.LG2025

Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions

Kazi Tasnim Zinat, Yun Zhou, Xiang Lyu +3

Inferring causal relationships between event pairs in a temporal sequence is applicable in many domains such as healthcare, manufacturing, and transportation. Most existing work on…

cs.HC2025★ 2 cited

Comparing Native and Non-native English Speakers' Behaviors in Collaborative Writing through Visual Analytics

Yuexi Chen, Yimin Xiao, Kazi Tasnim Zinat +3

Understanding collaborative writing dynamics between native speakers (NS) and non-native speakers (NNS) is critical for enhancing collaboration quality and team inclusivity. In thi…

cs.HC2024

A Multi-Level Task Framework for Event Sequence Analysis

Kazi Tasnim Zinat, Saimadhav Naga Sakhamuri, Aaron Sun Chen +1

Despite the development of numerous visual analytics tools for event sequence data across various domains, including but not limited to healthcare, digital marketing, and user beha…

cs.CY2024

COVID-19's Unequal Toll: An assessment of small business impact disparities with respect to ethnorace in metropolitan areas in the US using mobility data

Saad Mohammad Abrar, Kazi Tasnim Zinat, Naman Awasthi +1

Early in the pandemic, counties and states implemented a variety of non-pharmacological interventions (NPIs) focused on mobility, such as national lockdowns or work-from-home strat…

cs.HC2023

A Comparative Evaluation of Visual Summarization Techniques for Event Sequences

Kazi Tasnim Zinat, Jinhua Yang, Arjun Gandhi +2

Real-world event sequences are often complex and heterogeneous, making it difficult to create meaningful visualizations using simple data aggregation and visual encoding techniques…