ICTNET at Context Suggestion Track TREC 2014. - Zihao Lu; Zhijie Qiu; Liang Chang; Bingyang Liu; Dayong Wu; Yue Liu; Xueqi Cheng (TREC, 2014)

A Trading Model Based on Legal Contracts Using Smart Contract Templates. - Youqun Shi; Zihao Lu; Ran Tao 005; Ying Liu; Zhaohui Zhang (BlockSys, 2019)

FedDDB: Clustered Federated Learning based on Data Distribution Difference. - Chengyu You; Zihao Lu; Junli Wang 001; Chungang Yan (ACAI, 2022)

Vision-based localization methods under GPS-denied conditions. - Zihao Lu; Fei Liu; Xianke Lin (CoRR, 2022)

Vision-Based Environmental Perception for Autonomous Driving. - Fei Liu; Zihao Lu; Xianke Lin (CoRR, 2022)

Adversarial Robustness Enhancement of UAV-Oriented Automatic Image Recognition Based on Deep Ensemble Models. - Zihao Lu; Hao Sun; Yanjie Xu (Remote. Sens., 2023)

Adversarial Robust Aerial Image Recognition Based on Reactive-Proactive Defense Framework with Deep Ensembles. - Zihao Lu; Hao Sun 042; Kefeng Ji; Gangyao Kuang (Remote. Sens., 2023)

A Collaborative Relay Tracking Method Based on Information Fusion for UAVs. - Yongxiang He; Hongwu Guo; Xudong Li; Zihao Lu; Xuanying Li (IEEE Trans. Aerosp. Electron. Syst., 2023)

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. - Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai; Chunyi Li; Tengchuan Kou; Wei Sun 029; Haoning Wu 001; Yixuan Gao; Yuqin Cao; Zicheng Zhang; Xiele Wu; Radu Timofte; et al. (CVPR Workshops, 2024)

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. - Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai; Chunyi Li; Tengchuan Kou; Wei Sun 029; Haoning Wu 001; Yixuan Gao; Yuqin Cao; Zicheng Zhang; Xiele Wu; Radu Timofte; et al. (CoRR, 2024)

A Novel Overlapping ME Peaks Decomposition Algorithm Based on Iterative Derivative Sharpening. - Wenhe He; Hui You; Zihao Lu; Yaping Liu; Yuanfen Chen; Ying Liu 059; Cuimin Sun (IEEE Trans. Instrum. Meas., 2024)

Adaptive Knowledge Recomposition for Personalized Federated Learning via Discrete Wavelet Transform. - Zihao Lu; Junli Wang 001; Changjun Jiang (IEEE Internet Things J., 2024)

NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution. - Marcos V. Conde; Radu Timofte; Zihao Lu; Xiangyu Kong; Xiaoxia Xing; Fan Wang 005; Suejin Han; MinKyu Park; Tianyu Hao; Yuhong He; Ruoqi Li; Yueqi Yang; et al. (CVPR Workshops, 2025)

Domain-wise knowledge decoupling for personalized federated learning via Radon transform. - Zihao Lu; Junli Wang 001; Changjun Jiang (Neurocomputing, 2025)

DiffDual-AD: Diffusion-Based Dual-Stage Adversarial Defense Framework in Remote Sensing With Denoiser Constraint. - Zihao Lu; Hao Sun 042; Lin Lei; Yanjie Xu; Yuli Sun; Gangyao Kuang (IEEE Trans. Geosci. Remote. Sens., 2025)

FedFAA: knowledge filtering for adaptive model aggregation in federated learning. - Zihao Lu; Junli Wang 001; Mingjian Guang (Appl. Intell., 2025)

NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution. - Marcos V. Conde; Radu Timofte; Zihao Lu; Xiangyu Kong; Xiaoxia Xing; Fan Wang 005; Suejin Han; MinKyu Park; Tianyu Zhang; Xin Luo; Yeda Chen; Dong Liu 002; et al. (CoRR, 2025)

Knowledge-aware interaction networks for domain-adaptive end-to-end aspect-based sentiment analysis. - Benshuo Lin; Zehong Lin; Fenghuan Li; Zhuoming Liang; Zihao Lu; Yun Xue (Int. J. Mach. Learn. Cybern., 2025)

Data-Free Knowledge Filtering and Distillation in Federated Learning. - Zihao Lu; Junli Wang 001; Changjun Jiang (IEEE Trans. Big Data, 2025)