Geospatial Clustering Analysis on Drug Abuse Emergencies. - Jinha Lee; Jung Im Choi; Arthur Yeh; Qizhen Lan; Hyojung Kang (HICSS, 2022)

Adaptive Instance Distillation for Object Detection in Autonomous Driving. - Qizhen Lan; Qing Tian 003 (ICPR, 2022)

SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection. - Lijing Zhu; Qizhen Lan; Alvaro Velasquez; Houbing Song; Acharya Kamal; Qing Tian 003; Shuteng Niu (ICDM (Workshops), 2023)

Instance, Scale, and Teacher Adaptive Knowledge Distillation for Visual Detection in Autonomous Driving. - Qizhen Lan; Qing Tian 003 (IEEE Trans. Intell. Veh., 2023)

Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation. - Wentao Wang; Xi Xiao; Mingjie Liu; Qizhen Lan; Xuanyao Huang; Qing Tian 003; Swalpa Kumar Roy; Tianyang Wang (ICTAI, 2024)

Gradient-Guided Knowledge Distillation for Object Detectors. - Qizhen Lan; Qing Tian 003 (WACV, 2024)

Improving Deep Detector Robustness via Detection-Related Discriminant Maximization and Reorganization. - Jung Im Choi; Qizhen Lan; Qing Tian 003 (WACV, 2025)

CLoCKDistill: Consistent Location-and-Context-aware Knowledge Distillation for DETRs. - Qizhen Lan; Qing Tian 003 (CoRR, 2025)

ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation. - Qizhen Lan; Qing Tian 003 (CoRR, 2025)

ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding. - Lijing Zhu; Qizhen Lan; Qing Tian; Wenbo Sun; Li Yang; Lu Xia; Yixin Xie; Xi Xiao; Tiehang Duan; Cui Tao; Shuteng Niu (CoRR, 2025)