Increasing Telepresence Robot Operator Awareness of Speaking Volume Appropriateness: Initial Model Development. - Matthew Rueben; Thomas R. Groechel; Yulun Zhang 002; Maja J. Mataric; Gisele Ragusa (HRI (Companion), 2020)

Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot. - Matthew Rueben; Mohammad Syed; Emily London; Mark Camarena; Eunsook Shin; Yulun Zhang 002; Timothy S. Wang; Thomas R. Groechel; Rhianna Lee; Maja J. Mataric (ICMI, 2021)

On the Importance of Environments in Human-Robot Coordination. - Matthew C. Fontaine; Ya-Chuan Hsu; Yulun Zhang 002; Bryon Tjanaka; Stefanos Nikolaidis (Robotics: Science and Systems, 2021)

Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning. - K. R. Zentner; Ryan Julian; Ujjwal Puri; Yulun Zhang 002; Gaurav S. Sukhatme (CoRR, 2021)

A Simple Approach to Continual Learning by Transferring Skill Parameters. - K. R. Zentner; Ryan Julian; Ujjwal Puri; Yulun Zhang 002; Gaurav S. Sukhatme (CoRR, 2021)

Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding. - Yulun Zhang 002; Matthew C. Fontaine; Amy K. Hoover; Stefanos Nikolaidis (GECCO, 2022)

Efficient Multi-Task Learning via Iterated Single-Task Transfer. - K. R. Zentner; Ujjwal Puri; Yulun Zhang 002; Ryan Julian; Gaurav S. Sukhatme (IROS, 2022)

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. - Bryon Tjanaka; Matthew C. Fontaine; David H. Lee; Yulun Zhang 002; Nivedit Reddy Balam; Nathaniel Dennler; Sujay S. Garlanka; Nikitas Dimitri Klapsis; Stefanos Nikolaidis (GECCO, 2023)

Multi-Robot Coordination and Layout Design for Automated Warehousing. - Yulun Zhang 002; Matthew C. Fontaine; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (IJCAI, 2023)

Arbitrarily Scalable Environment Generators via Neural Cellular Automata. - Yulun Zhang 002; Matthew C. Fontaine; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (NeurIPS, 2023)

Scalable Mechanism Design for Multi-Agent Path Finding. - Paul Friedrich 001; Yulun Zhang 002; Michael J. Curry; Ludwig Dierks; Stephen McAleer; Jiaoyang Li 001; Tuomas Sandholm; Sven Seuken (IJCAI, 2024)

Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. - Yulun Zhang 002; He Jiang; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (IJCAI, 2024)

Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities. - Jiang He; Yulun Zhang 002; Rishi Veerapaneni; Jiaoyang Li 001 (SOCS, 2024)

A Quality Diversity Approach to Automatically Generate Multi-Agent Path Finding Benchmark Maps (Extended Abstract). - Cheng Qian; Yulun Zhang 002; Jiaoyang Li 001 (SOCS, 2024)

Multi-Robot Coordination and Layout Design for Automated Warehousing (Extended Abstract). - Yulun Zhang 002; Matthew C. Fontaine; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (SOCS, 2024)

Arbitrarily Scalable Environment Generators via Neural Cellular Automata (Extended Abstract). - Yulun Zhang 002; Matthew C. Fontaine; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (SOCS, 2024)

Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. - Yulun Zhang 002; Jiang He; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (CoRR, 2024)

A Quality Diversity Approach to Automatically Generate Multi-Agent Path Finding Benchmark Maps. - Cheng Qian; Yulun Zhang 002; Varun Bhatt; Matthew Christopher Fontaine; Stefanos Nikolaidis; Jiaoyang Li 001 (CoRR, 2024)

Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. - Hongzhi Zang; Yulun Zhang 002; He Jiang; Zhe Chen 016; Daniel Harabor; Peter J. Stuckey; Jiaoyang Li 001 (AAAI, 2025)

Advancing MAPF towards the Real World: A Scalable Multi-Agent Realistic Testbed (SMART). - Jingtian Yan; Zhifei Li; William Kang; Yulun Zhang 002; Stephen Smith; Jiaoyang Li 001 (CoRR, 2025)