Abuduweili, Abulikemu

ECE PhD (Fall 2021)


Projects


Publications

2025

  1. [J31] Enhancing Sample Generation of Diffusion Models using Noise Level Correction
    Abulikemu Abuduweili, Chenyang Yuan, Changliu Liu and Frank Permenter
    Transactions on Machine Learning Research, 2025
  1. [C92] Revisiting the Initial Steps in Adaptive Gradient Descent Optimization
    Abulikemu Abuduweili and Changliu Liu
    Conference on Parsimony and Learning (CPAL), 2025
  2. [C95] Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots
    Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao and Changliu Liu
    Learning for Dynamics and Control Conference, 2025
          1. [U] Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions
            Letian Wang, Marc-Antoine Lavoie, Sandro Papais, Barza Nisar, Yuxiao Chen, Wenhao Ding, Boris Ivanovic, Hao Shao, Abulikemu Abuduweili, Evan Cook, Yang Zhou, Peter Karkus, Jiachen Li, Changliu Liu, Marco Pavone and Steven Waslander
            arXiv preprint arXiv:2505.09074, 2025

          2024

          1. [J26] 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 and Changliu Liu
            Transactions on Machine Learning Research, 2024
          1. [C84] KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation
            Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, Harish Ravichandar, Changliu Liu and Jeffrey Ichnowski
            Conference on Robot Learning, 2024
          1. [W] Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
            Abulikemu Abuduweili and Changliu Liu
            CoRL Workshop on Safe and Robust Robot Learning for Operation in the Real World, 2024
                1. [U] Robustifying Long-term Human-Robot Collaboration through a Hierarchical and Multimodal Framework
                  Peiqi Yu, Abulikemu Abuduweili, Ruixuan Liu and Changliu Liu
                  arXiv:2411.15711, 2024

                2023

                1. [J20] Bioslam: A bioinspired lifelong memory system for general place recognition
                  Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Lingyun Xu, Changliu Liu and Sebastian Scherer
                  IEEE Transactions on Robotics, 2023
                2. [J21] An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
                  Abulikemu Abuduweili and Changliu Liu
                  Transactions on Machine Learning Research, 2023
                1. [C62] Proactive human-robot co-assembly: Leveraging human intention prediction and robust safe control
                  Ruixuan Liu, Rui Chen, Abulikemu Abuduweili and Changliu Liu
                  IEEE Conference on Control Technology and Applications, 2023
                2. [C65] Online Model Adaptation with Feedforward Compensation
                  Abulikemu Abuduweili and Changliu Liu
                  Conference on Robot Learning, 2023

                          2022

                                      1. [U] General place recognition survey: Towards the real-world autonomy age
                                        Peng Yin, Shiqi Zhao, Ivan Cisneros, Abulikemu Abuduweili, Guoquan Huang, Micheal Milford, Changliu Liu, Howie Choset and Sebastian Scherer
                                        arXiv:2209.04497, 2022

                                      2021

                                      1. [J7] Robust nonlinear adaptation algorithms for multitask prediction networks
                                        Abulikemu Abuduweili and Changliu Liu
                                        International Journal of Adaptive Control and Signal Processing, 2021

                                                  2020

                                                    1. [C26] Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy
                                                      Abulikemu Abuduweili and Changliu Liu
                                                      Learning for Dynamics and Control Conference, 2020

                                                              2019

                                                                  1. [W] Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration
                                                                    Abulikemu Abuduweili, Siyan Li and Changliu Liu
                                                                    AAAI 2019 Fall Symposium Series, AI for HRI, 2019