[2026/05] I was selected as Future Leaders in Aerospace, and gave a spotlight talk “Knowledge—Action Unity for Aerospace Autonomy” at CU Boulder.
[2026/05] I gave a talk “Sample Efficient Failure Discovery via Bayesian Active Learning” at the NASA ULI Annual Review.
[2026/04] I gave a talk and presented a poster “How Curious Should an Experiment Be? The Sweetspot between Learning and Optimization” at the MIT Statistics and Data Science Conference.
[2026/03] I gave a talk and presented a poster “How Curious Should an Experiment Be? Guarantees for Learning and Regret in Active Inference” at the Women in Data Science (WiDS) Cambridge 2026.
[2026/01] I gave a talk “Beyond Explore-Exploit: Pragmatic Curiosity with Self-Consistent Learning and No-Regret Optimization” at the MIT LIDS Student Conference.
[2026/01] Our paper “SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing” has been accepted by ICLR 2026.
[2025/08] Our paper “Cost-aware Discovery of Contextual Failures using Bayesian Active Learning” has been accepted by CoRL 2025.
[2025/07] Our paper “Avoiding Chatters with Hesitation in Human-Robot Co-Learning” has been accepted by Unmanned Systems (US).
[2025/03] I gave a talk “From Objectives to Preferences: Generalized Bayesian Optimization with Active Inference” at the MIT LIDS Postdoc Nexus Meeting.
[2025/01] We are organizing a workshop on “Optimizing Across Scales: Multi-Fidelity, Multi-Modality, and Multi-Objective Approaches for Complex Systems” in ACC 2025. See you in Denver!
[2024/12] I gave a talk “Bayesian Approach to Breaking Things: Efficiently Predicting Diverse Failure Modes via Sampling” at the AFOSR Autonomy Test Review.
[2024/09] Our paper “Dynamic Event-triggered Integrated Task and Motion Planning for Process-aware Source Seeking” has been accepted by Autonomous Robots (AURO).
[2024/08] I began my postdoctoral work with Prof. Chuchu Fan in the Reliable Autonomous Systems Lab at MIT (REALM).
[2024/07] Our paper “Trust-Preserved Human-Robot Shared Autonomy enabled by Bayesian Relational Event Modeling” has been accepted by IEEE Robotics and Automation Letters (RA-L), and will be presented at ICRA 2025. See you in Atlanta!
[2024/05] I defended my PhD thesis “Bayesian Learning: Paving the Way to Trustworthy Robots”. Many thanks to my thesis committee: Dr. Fumin Zhang (Advisor), Dr. Enlu Zhou, Dr. Matthieu Bloch, Dr. Seth Hutchinson, and Dr. Diyi Yang.
[2024/05] I gave a talk for the Ames-Burdick Group at Caltech.
[2024/04] I gave a talk for the Reliable Autonomous Systems Lab at MIT (REALM).
[2024/02] Our paper “A Distributed Bayesian Data Fusion Algorithm with Uniform Consistency” has been accepted by IEEE Transactions on Automatic Control (TAC).