Shikun Liu

According to our database, Shikun Liu authored at least 25 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models.

Haoyu Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li

CoRR, June, 2025

Structural Alignment Improves Graph Test-Time Adaptation.

Hans Hao-Hsun Hsu, Shikun Liu, Han Zhao, Pan Li

CoRR, February, 2025

Model Generalization on Text Attribute Graphs: Principles with Large Language Models.

Haoyu Wang, Shikun Liu, Rongzhe Wei, Pan Li

CoRR, February, 2025

MarDini: Masked Auto-regressive Diffusion for Video Generation at Scale.

Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan Camilo Pérez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Pérez-Rúa

Trans. Mach. Learn. Res., 2025

Learning Flow Fields in Attention for Controllable Person Image Generation.

Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li, Mengmeng Xu, Juan-Manuel Pérez-Rúa, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Prismer: A Vision-Language Model with Multi-Task Experts.

Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar

Trans. Mach. Learn. Res., 2024

MarDini: Masked Autoregressive Diffusion for Video Generation at Scale.

Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan C. Pérez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Pérez-Rúa

CoRR, 2024

GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts.

Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Pairwise Alignment Improves Graph Domain Adaptation.

Shikun Liu, Deyu Zou, Han Zhao, Pan Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

EscherNet: A Generative Model for Scalable View Synthesis.

Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts.

Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

CoRR, 2023

Prismer: A Vision-Language Model with An Ensemble of Experts.

Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar

CoRR, 2023

Structural Re-weighting Improves Graph Domain Adaptation.

Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li

Proceedings of the International Conference on Machine Learning, 2023

vMAP: Vectorised Object Mapping for Neural Field SLAM.

Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Auto-Lambda: Disentangling Dynamic Task Relationships.

Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns

Trans. Mach. Learn. Res., 2022

AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation.

Peixu Wang, Shikun Liu, Jialin Peng

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Bootstrapping Semantic Segmentation with Regional Contrast.

Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Media audio-visual program supervision system based on network topology.

Zhongfu Li, Shikun Liu

Int. J. Syst. Assur. Eng. Manag., 2021

iMAP: Implicit Mapping and Positioning in Real-Time.

Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Shape Adaptor: A Learnable Resizing Module.

Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Self-Supervised Generalisation with Meta Auxiliary Learning.

Shikun Liu, Andrew J. Davison, Edward Johns

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

End-To-End Multi-Task Learning With Attention.

Shikun Liu, Edward Johns, Andrew J. Davison

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Research on barker coded excitation method for magneto-acoustic imaging.

Shunqi Zhang, Xiaoqing Zhou, Shikun Liu, Tao Yin, Zhipeng Liu

Biomed. Signal Process. Control., 2018

Learning a Hierarchical Latent-Variable Model of 3D Shapes.

Shikun Liu, C. Lee Giles, Alexander Ororbia

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes.

Shikun Liu, Alexander G. Ororbia II, C. Lee Giles

CoRR, 2017