As-Aligned-As-Possible Image Stitching Based on Deviation-Corrected Warping With Global Similarity Constraints. - Jialiang Li 003; Pinqun Jiang; Shuxiang Song 001; Haiying Xia; Min Jiang (IEEE Access, 2019)

Locally Aligned Image Stitching Based on Multi-Feature and Super-Pixel Segmentation With Plane Protection. - Jialiang Li 003; Dong Wu; Pinqun Jiang; Zili Li 010; Shuxiang Song 001 (IEEE Access, 2021)

Image stitching by feature positioning and seam elimination. - Yunbai Qin; Jialiang Li 003; Pinqun Jiang; Frank Jiang 001 (Multim. Tools Appl., 2021)

Towards Fair Graph Neural Networks via Graph Counterfactual. - Zhimeng Guo; Jialiang Li 003; Teng Xiao; Yao Ma 001; Suhang Wang (CIKM, 2023)

Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective. - Zhimeng Guo; Jialiang Li 003; Teng Xiao; Yao Ma 001; Suhang Wang (CoRR, 2023)

Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark. - Xiaowei Qian; Zhimeng Guo; Jialiang Li 003; Haitao Mao; Bingheng Li; Suhang Wang; Yao Ma 001 (KDD, 2024)