Rate My Professor Xuelian Cheng

In her professional career, Cheng has undertaken research internships at IIAI remotely, at Mohamed bin Zayed University of Artificial Intelligence from April 2021 to October 2021, and at Tencent XR Lab in Canberra, Australia, from August 2022 to February 2023. She lectures courses at Monash University Suzhou, including FIT5047 Fundamentals of Artificial Intelligence, FIT5226 Multi-Agent Systems and Collective Behaviour, FIT5216 Modelling Discrete Optimization Problems, and FIT5037 Network Security. Previously, she was a teaching assistant for ECE4179 Neural Networks and Deep Learning and ECE4076 Computer Vision at Monash University Clayton campus from 2020 to 2022. Notable publications include "Hierarchical Neural Architecture Search for Deep Stereo Matching" (NeurIPS 2020), "Skeleton Based Action Recognition using Translation-Scale Invariant Image Mapping and Multi-Scale Deep CNN" (ICMEW 2017), "EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos" (MICCAI 2023), "OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding" (ECCV 2024), "Deep Learning: A Primer for Neurosurgeons" (2024), and "Declaration of Computational Neurosurgery" (2024). She holds two patents.