One Point is All You Need: Directional Attention Point for Feature Learning. - Liqiang Lin; Pengdi Huang; Chi-Wing Fu; Kai Xu 004; Hao Zhang 002; Hui Huang 004 (CoRR, 2020)

Hausdorff point convolution with geometric priors. - Liqiang Lin; Pengdi Huang; Fuyou Xue; Kai Xu 004; Daniel Cohen-Or; Hui Huang 004 (Sci. China Inf. Sci., 2021)

Transferable Multilevel Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multitask Learning. - Ziteng Liu; Liqiang Lin; Qingqing Jia; Zheng Cheng; Yanyan Jiang 001; Yanwen Guo 001; Jing Ma (J. Chem. Inf. Model., 2021)

ExtraNet: real-time extrapolated rendering for low-latency temporal supersampling. - Jie Guo 001; Xihao Fu; Liqiang Lin; Hengjun Ma; Yanwen Guo 001; Shiqiu Liu; Ling-Qi Yan 001 (ACM Trans. Graph., 2021)

ShapeFormer: Transformer-based Shape Completion via Sparse Representation. - Xingguang Yan; Liqiang Lin; Niloy J. Mitra; Dani Lischinski; Daniel Cohen-Or; Hui Huang 004 (CVPR, 2022)

Capturing, Reconstructing, and Simulating: The UrbanScene3D Dataset. - Liqiang Lin; Yilin Liu; Yue Hu; Xingguang Yan; Ke Xie 001; Hui Huang 004 (ECCV (8), 2022)

Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization. - Pengdi Huang; Liqiang Lin; Kai Xu 004; Hui Huang 004 (IEEE Trans. Intell. Transp. Syst., 2022)

Learning Reconstructability for Drone Aerial Path Planning. - Yilin Liu; Liqiang Lin; Yue Hu; Ke Xie 001; Chi-Wing Fu; Hao Zhang 002; Hui Huang 004 (ACM Trans. Graph., 2022)

On learning the right attention point for feature enhancement. - Liqiang Lin; Pengdi Huang; Chi-Wing Fu; Kai Xu 004; Hao Zhang 002; Hui Huang 004 (Sci. China Inf. Sci., 2023)

CRAYM: Neural Field Optimization via Camera RAY Matching. - Liqiang Lin; Wenpeng Wu; Chi-Wing Fu; Hao Zhang 002; Hui Huang 004 (NeurIPS, 2024)

Robust cross-image adversarial watermark with JPEG resistance for defending against Deepfake models. - Zhiyu Lin; Hanbin Lin; Liqiang Lin; Shuwu Chen; Xiaolong Liu (Comput. Vis. Image Underst., 2025)