Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks. - Jun Li 072; Xianglong Liu 001; Jun Xiao; Hainan Li; Shuo Wang 008; Liang Liu (ICDM Workshops, 2019)

Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection. - Renshuai Tao; Yanlu Wei; Xiangjian Jiang; Hainan Li; Haotong Qin; Jiakai Wang; Yuqing Ma; Libo Zhang 001; Xianglong Liu 001 (ICCV, 2021)

Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision. - Hainan Li; Renshuai Tao; Jun Li 072; Haotong Qin; Yifu Ding; Shuo Wang 008; Xianglong Liu 001 (ICME, 2021)

Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images. - Renshuai Tao; Yanlu Wei; Hainan Li; Aishan Liu; Yifu Ding; Haotong Qin; Xianglong Liu 001 (CoRR, 2021)

Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network. - Renshuai Tao; Hainan Li; Tianbo Wang; Yanlu Wei; Yifu Ding; Bowei Jin; Hongping Zhi; Xianglong Liu 001; Aishan Liu (CVPR, 2022)

Annealing-based Label-Transfer Learning for Open World Object Detection. - Yuqing Ma; Hainan Li; Zhange Zhang; Jinyang Guo; Shanghang Zhang; Ruihao Gong; Xianglong Liu 001 (CVPR, 2023)

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. - Tianyuan Zhang 004; Lu Wang; Hainan Li; Yisong Xiao; Siyuan Liang; Aishan Liu; Xianglong Liu 001; Dacheng Tao (ACM Multimedia, 2024)

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. - Tianyuan Zhang 004; Lu Wang; Hainan Li; Yisong Xiao; Siyuan Liang; Aishan Liu; Xianglong Liu 001; Dacheng Tao (CoRR, 2024)

Deep fusion model integrating whole slide images and preoperative MRIs for survival prediction in IDH wild-type glioblastoma. - Xinji Guo; Mingyao Lai; Jie Zhang; Lichao Wang; Haiyang Huang; Lijun Huang; Hainan Li; Linbo Cai; Jiuxing Liang (Comput. Methods Programs Biomed., 2025)

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025. - Zonghao Ying; Siyang Wu; Run Hao; Peng Ying; Shixuan Sun; Pengyu Chen; Junze Chen; Hao Du; Kaiwen Shen; Shangkun Wu; Jiwei Wei; Shiyuan He; et al. (CoRR, 2025)

MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving. - Aishan Liu; Jiakai Wang; Tianyuan Zhang 004; Hainan Li; Jiangfan Liu; Siyuan Liang; Yilong Ren; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)