Automatic Generation of Personalized Comment Based on User Profile. - Wenhuan Zeng; Abulikemu Abuduweili; Lei Li 039; Pengcheng Yang (ACL (2), 2019)

Efficient Method for Categorize Animals in the Wild. - Abulikemu Abuduweili; Xin Wu; Xingchen Tao (CoRR, 2019)

Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration. - Abulikemu Abuduweili; Siyan Li; Changliu Liu (CoRR, 2019)

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

Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. - Abulikemu Abuduweili; Xingjian Li 002; Humphrey Shi; Cheng-Zhong Xu 001; Dejing Dou (CVPR, 2021)

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. - Yaqing Wang 002; Abulikemu Abuduweili; Quanming Yao; Dejing Dou (NeurIPS, 2021)

Effective low capacity status prediction for cloud systems. - Hang Dong 004; Si Qin; Yong Xu 010; Bo Qiao 001; Shandan Zhou; Xian Yang 001; Chuan Luo 002; Pu Zhao 004; Qingwei Lin; Hongyu Zhang 002; Abulikemu Abuduweili; Sanjay Ramanujan; et al. (ESEC/SIGSOFT FSE, 2021)

Escaping the Big Data Paradigm with Compact Transformers. - Ali Hassani 001; Steven Walton 001; Nikhil Shah; Abulikemu Abuduweili; Jiachen Li 003; Humphrey Shi (CoRR, 2021)

Property-aware Adaptive Relation Networks for Molecular Property Prediction. - Yaqing Wang 002; Abulikemu Abuduweili; Dejing Dou (CoRR, 2021)

An Optical Controlling Environment and Reinforcement Learning Benchmarks. - Abulikemu Abuduweili; Changliu Liu (CoRR, 2022)

BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition. - Peng Yin 001; Abulikemu Abuduweili; Shiqi Zhao; Changliu Liu; Sebastian A. Scherer (CoRR, 2022)

General Place Recognition Survey: Towards the Real-world Autonomy Age. - Peng Yin 001; Shiqi Zhao; Ivan Cisneros; Abulikemu Abuduweili; Guoquan Huang 001; Michael J. Milford; Changliu Liu; Howie Choset; Sebastian A. Scherer (CoRR, 2022)

Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. - Ruixuan Liu; Rui Chen 030; Abulikemu Abuduweili; Changliu Liu (CCTA, 2023)

Online Model Adaptation with Feedforward Compensation. - Abulikemu Abuduweili; Changliu Liu (CoRL, 2023)

An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms. - Abulikemu Abuduweili; Changliu Liu (Trans. Mach. Learn. Res., 2023)

Semi-supervised transfer learning with hierarchical self-regularization. - Xingjian Li 002; Abulikemu Abuduweili; Humphrey Shi; Pengkun Yang; Dejing Dou; Haoyi Xiong; Chengzhong Xu 001 (Pattern Recognit., 2023)

BioSLAM: A Bioinspired Lifelong Memory System for General Place Recognition. - Peng Yin 001; Abulikemu Abuduweili; Shiqi Zhao; Lingyun Xu; Changliu Liu; Sebastian A. Scherer (IEEE Trans. Robotics, 2023)

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 (CoRL, 2024)

WeHelp: A Shared Autonomy System for Wheelchair Users. - Abulikemu Abuduweili; Alice Wu; Tianhao Wei; Weiye Zhao (CoRR, 2024)

Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity. - Abulikemu Abuduweili; Changliu Liu (CoRR, 2024)

Robustifying Long-term Human-Robot Collaboration through a Hierarchical and Multimodal Framework. - Peiqi Yu; Abulikemu Abuduweili; Ruixuan Liu; Changliu Liu (CoRR, 2024)

Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability. - Tianhao Wei; Ziwei Wang 001; Peizhi Niu; Abulikemu Abuduweili; Weiye Zhao; Casidhe Hutchison; Eric M. Sample; Changliu Liu (Trans. Mach. Learn. Res., 2024)

Revisiting the Initial Steps in Adaptive Gradient Descent Optimization. - Abulikemu Abuduweili; Changliu Liu (CPAL, 2025)

Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots. - Feihan Li; Abulikemu Abuduweili; Yifan Sun 011; Rui Chen 030; Weiye Zhao; Changliu Liu (L4DC, 2025)

Enhancing Sample Generation of Diffusion Models using Noise Level Correction. - Abulikemu Abuduweili; Chenyang Yuan 001; Changliu Liu; Frank Permenter (Trans. Mach. Learn. Res., 2025)

Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions. - Letian Wang; Marc-Antoine Lavoie; Sandro Papais; Barza Nisar; Yuxiao Chen 008; Wenhao Ding; Boris Ivanovic; Hao Shao; Abulikemu Abuduweili; Evan Cook; Yang Zhou 019; Péter Karkus; et al. (CoRR, 2025)