Planar Maximum Coverage Location Problem with Partial Coverage, Continuous Spatial Demand, and Adjustable Quality of Service. - Manish Bansal; Parshin Shojaee (CoRR, 2020)

Deep Neural Network Pipelines for Multivariate Time Series Classification in Smart Manufacturing. - Parshin Shojaee; Yingyan Zeng; Xiaoyu Chen 005; Ran Jin; Xinwei Deng; Chuck Zhang (ICPS, 2021)

Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet. - Parshin Shojaee; Yingyan Zeng; Muntasir Wahed; Avi Seth; Ran Jin; Ismini Lourentzou (IEEE Big Data, 2022)

Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet. - Yingyan Zeng; Parshin Shojaee; Syed Hasib Akhter Faruqui; Adel Alaeddini; Ran Jin (ICPS, 2022)

Adaptively Weighted Top-N Recommendation for Organ Matching. - Parshin Shojaee; Xiaoyu Chen 005; Ran Jin (ACM Trans. Comput. Heal., 2022)

Transformer-based Planning for Symbolic Regression. - Parshin Shojaee; Kazem Meidani; Amir Barati Farimani; Chandan K. Reddy (NeurIPS, 2023)

Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting. - Zibo Liu; Parshin Shojaee; Chandan K. Reddy (Trans. Mach. Learn. Res., 2023)

Execution-based Code Generation using Deep Reinforcement Learning. - Parshin Shojaee; Aneesh Jain; Sindhu Tipirneni; Chandan K. Reddy (Trans. Mach. Learn. Res., 2023)

SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. - Kazem Meidani; Parshin Shojaee; Chandan K. Reddy; Amir Barati Farimani (ICLR, 2024)

Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges. - Chandan K. Reddy; Parshin Shojaee (AAAI, 2025)

Federated Retrieval Augmented Generation for Multi-Product Question Answering. - Parshin Shojaee; Sai Sree Harsha; Dan Luo; Akash Maharaj; Tong Yu 001; Yunyao Li 001 (COLING (Industry), 2025)

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. - Parshin Shojaee; Kazem Meidani; Shashank Gupta; Amir Barati Farimani; Chandan K. Reddy (ICLR, 2025)

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers. - Nikhil Abhyankar; Parshin Shojaee; Chandan K. Reddy (CoRR, 2025)

LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. - Parshin Shojaee; Ngoc-Hieu Nguyen; Kazem Meidani; Amir Barati Farimani; Khoa D. Doan; Chandan K. Reddy (CoRR, 2025)

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity. - Parshin Shojaee; Iman Mirzadeh; Keivan Alizadeh; Maxwell Horton; Samy Bengio; Mehrdad Farajtabar (CoRR, 2025)