An Adaptive Formulation-based Many-Objective Evolutionary Algorithm for Multi-Scenario Optimization in Data Enrichment. - Liang Fan; Xudong Feng; Handing Wang (CEC, 2021)

Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration. - Hao Tong; Jiyuan Pei; Qingquan Zhang; Jialin Liu 001; Xudong Feng; Feng Wu (SSCI, 2021)

Computational Design of Skinned Quad-Robots. - Xudong Feng; Jiafeng Liu; Huamin Wang 001; Yin Yang 002; Hujun Bao; Bernd Bickel; Weiwei Xu (IEEE Trans. Vis. Comput. Graph., 2021)

A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning. - Yinbo Yu; Jiajia Liu 001; Shouqing Li; Kepu Huang; Xudong Feng (GLOBECOM, 2022)

Simpler is Sometimes Better: A Dynamic Aero-Engine Calibration Study. - Hao Tong; Qingquan Zhang; Chengpeng Hu; Xudong Feng; Feng Wu; Jialin Liu 001 (ICSI (2), 2022)

Learning-Based Bending Stiffness Parameter Estimation by a Drape Tester. - Xudong Feng; Wenchao Huang; Weiwei Xu; Huamin Wang 001 (ACM Trans. Graph., 2022)

Neural-Assisted Homogenization of Yarn-Level Cloth. - Xudong Feng; Huamin Wang 001; Yin Yang 002; Weiwei Xu (SIGGRAPH (Conference Paper Track), 2024)