Mobile web browsing under memory pressure. - Ihsan Ayyub Qazi; Zafar Ayyub Qazi; Theophilus A. Benson; Ghulam Murtaza; Ehsan Latif; Abdul Manan; Abrar Tariq (Comput. Commun. Rev., 2020)

Energy-Aware Multi-Robot Task Allocation in Persistent Tasks. - Ehsan Latif; Yikang Gui; Aiman Munir; Ramviyas Parasuraman (CoRR, 2021)

DGORL: Distributed Graph Optimization Based Relative Localization of Multi-robot Systems. - Ehsan Latif; Ramviyas Parasuraman (DARS, 2022)

Message Expiration-Based Distributed Multi-Robot Task Management. - Yikang Gui; Ehsan Latif; Ramviyas Parasuraman (CoRR, 2022)

Online Indoor Localization Using DOA of Wireless Signals. - Ehsan Latif; Ramviyas Parasuraman (CoRR, 2022)

Multi-Robot Synergistic Localization in Dynamic Environments. - Ehsan Latif; Ramviyas Parasuraman (CoRR, 2022)

Communication-Efficient Reinforcement Learning in Swarm Robotic Networks for Maze Exploration. - Ehsan Latif; Wen-Zhan Song 001; Ramviyas Parasuraman (INFOCOM Workshops, 2023)

SEAL: Simultaneous Exploration and Localization for Multi-Robot Systems. - Ehsan Latif; Ramviyas Parasuraman (IROS, 2023)

On the Intersection of Computational Geometry Algorithms with Mobile Robot Path Planning. - Ehsan Latif; Ramviyas Parasuraman (Algorithms, 2023)

Artificial General Intelligence (AGI) for Education. - Ehsan Latif; Gengchen Mai; Matthew Nyaaba; Xuansheng Wu; Ninghao Liu; Guoyu Lu; Sheng Li 001; Tianming Liu 001; Xiaoming Zhai (CoRR, 2023)

CQLite: Communication-Efficient Multi-Robot Exploration Using Coverage-biased Distributed Q-Learning. - Ehsan Latif; Ramviyas Parasuraman (CoRR, 2023)

GPRL: Gaussian Processes-Based Relative Localization for Multi-Robot Systems. - Ehsan Latif; Ramviyas Parasuraman (CoRR, 2023)

Automatic Scoring of Students' Science Writing Using Hybrid Neural Network. - Ehsan Latif; Xiaoming Zhai (CoRR, 2023)

Multimodality of AI for Education: Towards Artificial General Intelligence. - Gyeong-Geon Lee; Lehong Shi; Ehsan Latif; Yizhu Gao; Arne Bewersdorff; Matthew Nyaaba; Shuchen Guo; Zihao Wu 001; Zhengliang Liu; Hui Wang 054; Gengchen Mai; Tiaming Liu; et al. (CoRR, 2023)

AI Gender Bias, Disparities, and Fairness: Does Training Data Matter? - Ehsan Latif; Xiaoming Zhai; Lei Liu (CoRR, 2023)

Knowledge Distillation of LLM for Education. - Ehsan Latif; Luyang Fang; Ping Ma 001; Xiaoming Zhai (CoRR, 2023)

Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments. - Ehsan Latif; Luyang Fang; Ping Ma 001; Xiaoming Zhai (AIED Companion (2), 2024)

HGP-RL: Distributed Hierarchical Gaussian Processes for Wi-Fi-based Relative Localization in Multi-Robot Systems. - Ehsan Latif; Ramviyas Parasuraman (IROS, 2024)

Anchor-Oriented Localized Voronoi Partitioning for GPS-denied Multi-Robot Coverage. - Aiman Munir; Ehsan Latif; Ramviyas Parasuraman (IROS, 2024)

Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots. - Siva Krishna Ravipati; Ehsan Latif; Ramviyas Parasuraman; Suchendra M. Bhandarkar (IROS, 2024)

PhysicsAssistant: An LLM-Powered Interactive Learning Robot for Physics Lab Investigations. - Ehsan Latif; Ramviyas Parasuraman; Xiaoming Zhai (RO-MAN, 2024)

Fine-tuning ChatGPT for automatic scoring. - Ehsan Latif; Xiaoming Zhai (Comput. Educ. Artif. Intell., 2024)

Applying large language models and chain-of-thought for automatic scoring. - Gyeong-Geon Lee; Ehsan Latif; Xuansheng Wu; Ninghao Liu; Xiaoming Zhai (Comput. Educ. Artif. Intell., 2024)

Gemini Pro Defeated by GPT-4V: Evidence from Education. - Gyeong-Geon Lee; Ehsan Latif; Lehong Shi; Xiaoming Zhai (CoRR, 2024)

G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German. - Ehsan Latif; Gyeong-Geon Lee; Knut Neumann; Tamara Kastorff; Xiaoming Zhai (CoRR, 2024)

3P-LLM: Probabilistic Path Planning using Large Language Model for Autonomous Robot Navigation. - Ehsan Latif (CoRR, 2024)

Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring. - Xuansheng Wu; Padmaja Pravin Saraf; Gyeong-Geon Lee; Ehsan Latif; Ninghao Liu; Xiaoming Zhai (CoRR, 2024)

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education. - Ehsan Latif; Yifan Zhou; Shuchen Guo; Yizhu Gao; Lehong Shi; Matthew Nayaaba; Gyeong-Geon Lee; Liang Zhang; Arne Bewersdorff; Luyang Fang; Xiantong Yang; Huaqin Zhao; et al. (CoRR, 2024)

Using Generative AI and Multi-Agents to Provide Automatic Feedback. - Shuchen Guo; Ehsan Latif; Yifan Zhou; Xuan Huang; Xiaoming Zhai (CoRR, 2024)

Anonymous Distributed Localisation via Spatial Population Protocols. - Leszek Gasieniec; Lukasz Kuszner; Ehsan Latif; Ramviyas Parasuraman; Paul G. Spirakis; Grzegorz Stachowiak (CoRR, 2024)

Can OpenAI o1 outperform humans in higher-order cognitive thinking? - Ehsan Latif; Yifan Zhou; Shuchen Guo; Lehong Shi; Yizhu Gao; Matthew Nyaaba; Arne Bewersdorff; Xiantong Yang; Xiaoming Zhai (CoRR, 2024)

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring. - Ehsan Latif; Xiaoming Zhai (CoRR, 2024)

Communication-Efficient Multi-Robot Exploration Using Coverage-Biased Distributed Q-Learning. - Ehsan Latif; Ramviyas Parasuraman (IEEE Robotics Autom. Lett., 2024)

Instantaneous Wireless Robotic Node Localization Using Collaborative Direction of Arrival. - Ehsan Latif; Ramviyas Parasuraman (IEEE Internet Things J., 2024)

Artificial Intelligence Bias on English Language Learners in Automatic Scoring. - Shuchen Guo; Yun Wang; Jichao Yu; Xuansheng Wu; Bilgehan Ayik; Field M. Watts; Ehsan Latif; Ninghao Liu; Lei Liu; Xiaoming Zhai (AIED (5), 2025)

Brief Announcement: Anonymous Distributed Localisation via Spatial Population Protocols. - Leszek Gasieniec; Lukasz Kuszner; Ehsan Latif; Ramviyas Parasuraman; Paul G. Spirakis; Grzegorz Stachowiak (SAND, 2025)

Multimodality of AI for Education: Toward Artificial General Intelligence. - Gyeong-Geon Lee; Lehong Shi; Ehsan Latif; Yizhu Gao; Arne Bewersdorff; Matthew Nyaaba; Shuchen Guo; Zhengliang Liu; Gengchen Mai; Tianming Liu 001; Xiaoming Zhai (IEEE Trans. Learn. Technol., 2025)

Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review. - Ehsan Latif; Ying Chen; Xiaoming Zhai; Yue Yin (CoRR, 2025)

Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese. - Jie Yang; Ehsan Latif; Yuze He; Xiaoming Zhai (CoRR, 2025)

Advancing Education through Tutoring Systems: A Systematic Literature Review. - Vincent Shung Liu; Ehsan Latif; Xiaoming Zhai (CoRR, 2025)

Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment. - Luyang Fang; Ehsan Latif; Haoran Lu; Yifan Zhou; Ping Ma 001; Xiaoming Zhai (CoRR, 2025)

Privacy-Preserved Automated Scoring using Federated Learning for Educational Research. - Ehsan Latif; Xiaoming Zhai (CoRR, 2025)

Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions. - Luyang Fang; Xiaowei Yu; Jiazhang Cai; Yongkai Chen; Shushan Wu; Zhengliang Liu; Zhenyuan Yang; Haoran Lu; Xilin Gong; Yufang Liu; Terry Ma; Wei Ruan; et al. (CoRR, 2025)

SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches. - Ehsan Latif; Zirak Khan; Xiaoming Zhai (CoRR, 2025)