Abuduweili, Abulikemu

12 publications

L4DC 2025 Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao, Changliu Liu

TMLR 2025 Enhancing Sample Generation of Diffusion Models Using Noise Level Correction Abulikemu Abuduweili, Chenyang Yuan, Changliu Liu, Frank Permenter

CPAL 2025 Revisiting the Initial Steps in Adaptive Gradient Descent Optimization Abulikemu Abuduweili, Changliu Liu

TMLR 2024 Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric Sample, Changliu Liu

CoRL 2024 KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, Harish Ravichandar, Changliu Liu, Jeffrey Ichnowski

NeurIPSW 2024 Revisiting the Initial Steps in Adaptive Gradient Descent Optimization Abulikemu Abuduweili, Changliu Liu

TMLR 2023 An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms Abulikemu Abuduweili, Changliu Liu

CoRL 2023 Online Model Adaptation with Feedforward Compensation Abulikemu Abuduweili, Changliu Liu

ICMLW 2022 An Optical Controlling Environment and Reinforcement Learning Benchmarks Abulikemu Abuduweili, Changliu Liu

CVPR 2021 Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou

NeurIPS 2021 Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou

L4DC 2020 Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy Abulikemu Abuduweili, Changliu Liu