Liu, Shikun

19 publications

ICLR 2026 Scaling Sequence-to-Sequence Generative Neural Rendering Shikun Liu, Kam Woh Ng, Wonbong Jang, Jiadong Guo, Junlin Han, Haozhe Liu, Yiannis Douratsos, Juan Camilo Perez, Zijian Zhou, Khanh Chi Phung, Tao Xiang, Juan-Manuel Perez-Rua

ICML 2025 Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models Haoyu Peter Wang, Shikun Liu, Rongzhe Wei, Pan Li

NeurIPS 2025 Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models Haoyu Peter Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li

CVPR 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 Perez-Rua, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He

TMLR 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 Perez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Perez-Rua

NeurIPS 2025 RoFt-Mol: Benchmarking Robust Fine-Tuning with Molecular Graph Foundation Models Shikun Liu, Deyu Zou, Nima Shoghi, Victor Fung, Kai Liu, Pan Li

CVPR 2024 EscherNet: A Generative Model for Scalable View Synthesis Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison

NeurIPS 2024 GeSS: Benchmarking Geometric Deep Learning Under Scientific Applications with Distribution Shifts Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

ICML 2024 Pairwise Alignment Improves Graph Domain Adaptation Shikun Liu, Deyu Zou, Han Zhao, Pan Li

TMLR 2024 Prismer: A Vision-Language Model with Multi-Task Experts Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar

ICML 2023 Structural Re-Weighting Improves Graph Domain Adaptation Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li

CVPR 2023 vMAP: Vectorised Object Mapping for Neural Field SLAM Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison

TMLR 2022 Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu, Stephen James, Andrew Davison, Edward Johns

ICLR 2022 Bootstrapping Semantic Segmentation with Regional Contrast Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew Davison

NeurIPSW 2021 Semi-Supervised Graph Neural Network for Particle-Level Noise Removal Tianchun Li, Shikun Liu, Yongbin Feng, Nhan Tran, Miaoyuan Liu, Pan Li

ICCV 2021 iMAP: Implicit Mapping and Positioning in Real-Time Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison

ECCV 2020 Shape Adaptor: A Learnable Resizing Module Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns

CVPR 2019 End-to-End Multi-Task Learning with Attention Shikun Liu, Edward Johns, Andrew J. Davison

NeurIPS 2019 Self-Supervised Generalisation with Meta Auxiliary Learning Shikun Liu, Andrew Davison, Edward Johns