Shijie Lian

According to our database, Shijie Lian authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

PhysBrain 1.0 Technical Report.

Shijie Lian, Bin Yu, Xiaopeng Lin, Changti Wu, Hang Yuan, Xiaolin Hu, Zhaolong Shen, Yuzhuo Miao, Haishan Liu, Yuxuan Tian, Yukun Shi, Cong Huang, Kai Chen

CoRR, May, 2026

IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation.

Shijie Lian, Bin Yu, Xiaopeng Lin, Zhaolong Shen, Laurence Tianruo Yang, Yurun Jin, Haishan Liu, Changti Wu, Hang Yuan, Cong Huang, Kai Chen

CoRR, May, 2026

FrameSkip: Learning from Fewer but More Informative Frames in VLA Training.

Bin Yu, Shijie Lian, Xiaopeng Lin, Zhaolong Shen, Yuliang Wei, Changti Wu, Hang Yuan, Haishan Liu, Bailing Wang, Cong Huang, Kai Chen

CoRR, May, 2026

3D-Mix for VLA: A Plug-and-Play Module for Integrating VGGT-based 3D Information into Vision-Language-Action Models.

Bin Yu, Shijie Lian, Xiaopeng Lin, Zhaolong Shen, Yuliang Wei, Haishan Liu, Changti Wu, Hang Yuan, Bailing Wang, Cong Huang, Kai Chen

CoRR, March, 2026

ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction Tuning.

Changti Wu, Jiahuai Mao, Yuzhuo Miao, Shijie Lian, Bin Yu, Xiaopeng Lin, Cong Huang, Lei Zhang, Kai Chen

CoRR, February, 2026

LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries.

Shijie Lian, Bin Yu, Xiaopeng Lin, Laurence T. Yang, Zhaolong Shen, Changti Wu, Yuzhuo Miao, Cong Huang, Kai Chen

CoRR, January, 2026

TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers.

Bin Yu, Shijie Lian, Xiaopeng Lin, Yuliang Wei, Zhaolong Shen, Changti Wu, Yuzhuo Miao, Xinming Wang, Bailing Wang, Cong Huang, Kai Chen

CoRR, January, 2026

MIRepNet: A pipeline and pre-trained model for EEG-based motor imagery classification.

Dingkun Liu, Zhu Chen, Jingwei Luo, Shijie Lian, Yuheng Chen, Shaojie Hou, Xiaolian Zhu, Dongrui Wu

Knowl. Based Syst., 2026

2025

A Zero-Shot High-Dimensional Feature Fusion With STF-GAN for Cross-Domain Image Reconstruction.

Haixv Lu, Debin Liu, Laurence T. Yang, Ruonan Zhao, Shijie Lian, Songhe Yuan, Junjie Su

IEEE J. Sel. Top. Signal Process., December, 2025

PhysBrain: Human Egocentric Data as a Bridge from Vision Language Models to Physical Intelligence.

Xiaopeng Lin, Shijie Lian, Bin Yu, Ruoqi Yang, Changti Wu, Yuzhuo Miao, Yurun Jin, Yukun Shi, Cong Huang, Bojun Cheng, Kai Chen

CoRR, December, 2025

DynaSolidGeo: A Dynamic Benchmark for Genuine Spatial Mathematical Reasoning of VLMs in Solid Geometry.

Changti Wu, Shijie Lian, Zihao Liu, Lei Zhang, Laurence Tianruo Yang, Kai Chen

CoRR, October, 2025

TrajSelector: Harnessing Latent Representations for Efficient and Effective Best-of-N in Large Reasoning Model.

Bin Yu, Xinming Wang, Shijie Lian, Haotian Li, Changti Wu, Ruina Hu, Bailing Wang, Yuliang Wei, Kai Chen

CoRR, October, 2025

WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation.

Runting Li, Shijie Lian, Hua Li, Yutong Li, Wenhui Wu, Sam Kwong

CoRR, October, 2025

Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate Tasks.

Shijie Lian, Changti Wu, Laurence Tianruo Yang, Hang Yuan, Bin Yu, Lei Zhang, Kai Chen

CoRR, September, 2025

MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification.

Dingkun Liu, Zhu Chen, Jingwei Luo, Shijie Lian, Dongrui Wu

CoRR, July, 2025

UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark Dataset.

Hua Li, Shijie Lian, Zhiyuan Li, Runmin Cong, Sam Kwong

CoRR, May, 2025

TUGS: Physics-based Compact Representation of Underwater Scenes by Tensorized Gaussian.

Shijie Lian, Ziyi Zhang, Laurence Tianruo Yang and, Mengyu Ren, Debin Liu, Hua Li

CoRR, May, 2025

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM.

Codefuse, Wenting Cai, Yuchen Cao, Chaoyu Chen, Chen Chen, Siba Chen, Qing Cui, Peng Di, Junpeng Fang, Zi Gong, Ting Guo, Zhengyu He, Yang Huang, Cong Li, Jianguo Li, Zheng Li, Shijie Lian, Bingchang Liu, Songshan Luo, Shuo Mao, Min Shen, Jian Wu, Jiaolong Yang, Wenjie Yang, Tong Ye, Hang Yu, Wei Zhang, Zhenduo Zhang, Hailin Zhao, Xunjin Zheng, Jun Zhou

CoRR, March, 2025

TMANet: Triple Multi-Scale Attention based Network with Boundary Association Loss for Superpixel Segmentation.

Ziyi Zhang, Shijie Lian, Hua Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment.

Shijie Lian, Hua Li

CoRR, 2024

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset.

Shijie Lian, Ziyi Zhang, Hua Li, Wenjie Li, Laurence Tianruo Yang, Sam Kwong, Runmin Cong

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

2023

WaterMask: Instance Segmentation for Underwater Imagery.

Shijie Lian, Hua Li, Runmin Cong, Suqi Li, Wei Zhang, Sam Kwong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DSMISR: Differential Siamese Multi-scale Attention Network for Iris Image Super Resolution.

Jin Hao, Shijie Lian, Suqi Li, Hua Li

Proceedings of the IEEE Smartworld, 2022