I am a Research Intern at Huawei Pisa Research Center, working on multimodal agent memory, LLM post-training and automotive AI.
I recently completed an EIT Manufacturing dual master’s degree — a double degree from the University of Trento in Computer Science and SUPSI in Data Science. Before that, a bachelor’s in Engineering (Intelligent Science and Technology) from Anhui University.
I describe my research style as insight-driven and compute-efficient. I am a Kaggle Competitions Expert, and I care about how AI can be applied across many different fields. Besides research, I also like art, music, folklore and mythology very much.
TMLR 2026Accepted as is
Input Diversity is a near-default ingredient of transfer attacks — and on adversarially trained surrogates it reverses sign, costing a robust source 10.3 points of attack success. Leaving it on by default overstates the robustness of the model being evaluated.
CVPR 2026FMEA Workshop · Poster
Reaching the goal vicinity is not finding the right instance. An offline embodied benchmark for active instance verification — 3,000 episodes across 18 categories, with trap views and unreachable sectors built into the navigation topology.
IEEE TGRSUnder review
Recast referring segmentation as executing a typed spatial program instead of matching embeddings. Training-free, single GPU, and more than twice the best prior training-free mIoU on RRSIS-D.