Characterizing serverless platforms with serverlessbench. - Tianyi Yu; Qingyuan Liu; Dong Du 003; Yubin Xia; Binyu Zang; Ziqian Lu; Pingchao Yang; Chenggang Qin; Haibo Chen 001 (SoCC, 2020)

Attentive Semantic Preservation Network for Zero-Shot Learning. - Ziqian Lu; Yunlong Yu; Zhe-Ming Lu 001; Feng-Li Shen; Zhongfei Zhang (CVPR Workshops, 2020)

Learn more from less: Generalized zero-shot learning with severely limited labeled data. - Ziqian Lu; Zheming Lu 001; Yunlong Yu; Zonghui Wang (Neurocomputing, 2022)

Dual semantic-guided model for weakly-supervised zero-shot semantic segmentation. - Fengli Shen; Zhe-Ming Lu 001; Ziqian Lu; Zonghui Wang (Multim. Tools Appl., 2022)

Reasoning in Different Directions: Triplet Learning for Scene Graph Generation. - Xuecheng Sun; Zhe-Ming Lu 001; Zewei He; Ziqian Lu; Hao Luo 001 (IEEE Access, 2023)

Accurate and lightweight dehazing via multi-receptive-field non-local network and novel contrastive regularization. - Zewei He; Zixuan Chen; Ziqian Lu; Xuecheng Sun; Zhe-Ming Lu 001 (CoRR, 2023)

Prompt-based test-time real image dehazing: a novel pipeline. - Zixuan Chen; Zewei He; Ziqian Lu; Zhe-Ming Lu 001 (CoRR, 2023)

SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios. - Mushui Liu; Weijie He; Ziqian Lu; Yunlong Yu (CoRR, 2023)

Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline. - Zixuan Chen; Zewei He; Ziqian Lu; Xuecheng Sun; Zhe-Ming Lu 001 (ECCV (76), 2024)

Improving Zero-Shot Generalization for CLIP with Variational Adapter. - Ziqian Lu; Fengli Shen; Mushui Liu; Yunlong Yu; Xi Li (ECCV (20), 2024)

CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation. - Mushui Liu; Jun Dan; Ziqian Lu; Yunlong Yu; Yingming Li; Xi Li 001 (CoRR, 2024)

Self-supervised graph representations with generative adversarial learning. - Xuecheng Sun; Zonghui Wang; Zheming Lu 001; Ziqian Lu (Neurocomputing, 2024)

Learning Multiple Criteria Calibration for Generalized Zero-shot Learning. - Ziqian Lu; Zheming Lu 001; Yunlong Yu; Zewei He; Hao Luo 001; Yangming Zheng (Knowl. Based Syst., 2024)

Hierarchical contrastive representation for zero shot learning. - Ziqian Lu; Zheming Lu 001; Zewei He; Xuecheng Sun; Hao Luo 001; Yangming Zheng (Appl. Intell., 2024)

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning. - Mushui Liu; Fangtai Wu; Bozheng Li; Ziqian Lu; Yunlong Yu; Xi Li (AAAI, 2025)

Mask-free Iterative Refinement Network for weakly-supervised Few-shot Semantic Segmentation. - Shanjuan Chen; Yunlong Yu; Yingming Li; Ziqian Lu; Yulin Zhou (Neurocomputing, 2025)

Fully fine-tuned CLIP models are efficient few-shot learners. - Mushui Liu; Bozheng Li; Jun Dan; Ziqian Lu; Zhao Wang; Yunlong Yu (Knowl. Based Syst., 2025)

Synth-CLIP: Synthetic data make CLIP generalize better in data-limited scenarios. - Mushui Liu; Weijie He; Ziqian Lu; Jun Dan; Yunlong Yu; Yingming Li; Xi Li 001; Jungong Han (Neural Networks, 2025)

Improving skeleton-based action recognition with interactive object information. - Hao Wen; Ziqian Lu; Fengli Shen; Zheming Lu 001; Jia-Lin Cui (Int. J. Multim. Inf. Retr., 2025)

MediSee: Reasoning-based Pixel-level Perception in Medical Images. - Qinyue Tong; Ziqian Lu; Jun Liu; Yangming Zheng; Zhe-ming Lu 001 (CoRR, 2025)

Variational Adapter: Improving CLIP in Data-Imbalanced Scenarios. - Ziqian Lu; Mushui Liu; Yunlong Yu; Zhao Wang; Xi Li 001; Jungong Han (IEEE Trans. Circuits Syst. Video Technol., 2025)