PhD Researcher — National University of Defense Technology
NUDT · Changsha, China · Since 2021
Building efficient, robust AI for open-world, non-stationary environments — algorithms that keep learning when the world changes.
Primary
Autonomous task decomposition, tool use, multi-agent coordination.
Core
Online learning, label-shift adaptation, robustness under distribution shift.
Emerging
Efficient fine-tuning, RLHF, reasoning with constrained compute.
Applied
On-device inference, lightweight models, federated & continual learning.
Foundation
Feature selection, multi-view learning, structured sparsity.
2026.07
Launched personal academic homepage.
2025.11
Paper on invulnerable UAV flocking published in EAAI.
2024.07
Paper on pairwise-constraint multi-view feature selection published in Mathematics.
2021.09
Began PhD research at National University of Defense Technology.