DSMISR: Differential Siamese Multi-scale Attention Network for Iris Image Super Resolution. - Jin Hao; Shijie Lian; Suqi Li; Hua Li 012 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

WaterMask: Instance Segmentation for Underwater Imagery. - Shijie Lian; Hua Li 012; Runmin Cong; Suqi Li; Wei Zhang 021; Sam Kwong (ICCV, 2023)

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset. - Shijie Lian; Ziyi Zhang; Hua Li 012; Wenjie Li; Laurence Tianruo Yang; Sam Kwong; Runmin Cong (ICML, 2024)

Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment. - Shijie Lian; Hua Li 012 (CoRR, 2024)

TMANet: Triple Multi-Scale Attention based Network with Boundary Association Loss for Superpixel Segmentation. - Ziyi Zhang; Shijie Lian; Hua Li (ICASSP, 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; et al. (CoRR, 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, 2025)

UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark Dataset. - Hua Li 012; Shijie Lian; Zhiyuan Li; Runmin Cong; Sam Kwong (CoRR, 2025)

MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification. - Dingkun Liu; Zhu Chen; Jingwei Luo; Shijie Lian; Dongrui Wu (CoRR, 2025)