Ziqian Lu

According to our database, Ziqian Lu authored at least 31 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MedVeriSeg: Teaching MLLM-Based Medical Segmentation Models to Verify Query Validity Without Extra Training.

Ziqian Lu, Qinyue Tong, Jun Liu, Yunlong Yu

CoRR, April, 2026

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation.

Jun Liu, Ying Chen, Ziqian Lu, Qinyue Tong, Jun Tang

CoRR, April, 2026

Improving anomaly detection with foundation-model synthesis and wavelet-domain attention.

Wensheng Wu, Zheming Lu, Ziqian Lu, Zewei He, Xuecheng Sun, Zhao Wang, Jungong Han, Yunlong Yu

Neural Networks, 2026

Chat-MedGen: omni-adaptation of multi-modal large language models for diverse biomedical tasks.

Qinyue Tong, Ziqian Lu, Zheming Lu, Yunlong Yu, Jun Liu, Yang-Ming Zheng

Knowl. Based Syst., 2026

2025

Unlocking the Forgery Detection Potential of Vanilla MLLMs: A Novel Training-Free Pipeline.

Rui Zuo, Qinyue Tong, Zhe-Ming Lu, Ziqian Lu

CoRR, November, 2025

MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images.

Qinyue Tong, Ziqian Lu, Jun Liu, Rui Zuo, Zheming Lu

CoRR, November, 2025

Progressive Multi-Prompt Learning for Vision-Language Models.

Jun Liu, Ziqian Lu, Hao Luo, Zheming Lu, Yangming Zheng

IEEE Trans. Circuits Syst. Video Technol., October, 2025

Variational Adapter: Improving CLIP in Data-Imbalanced Scenarios.

Ziqian Lu, Mushui Liu, Yunlong Yu, Zhao Wang, Xi Li, Jungong Han

IEEE Trans. Circuits Syst. Video Technol., June, 2025

Improving skeleton-based action recognition with interactive object information.

Hao Wen, Ziqian Lu, Fengli Shen, Zheming Lu, Jia-Lin Cui

Int. J. Multim. Inf. Retr., March, 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, Jungong Han

Neural Networks, 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

Mask-free Iterative Refinement Network for weakly-supervised Few-shot Semantic Segmentation.

Shanjuan Chen, Yunlong Yu, Yingming Li, Ziqian Lu, Yulin Zhou

Neurocomputing, 2025

Enhancing Skeleton-Based Action Recognition with Feature Maps from Pose Estimation Networks.

Hao Wen, Zheming Lu, Fengli Shen, Ziqian Lu, Yangming Zheng, Jialin Cui

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025

MediSee: Reasoning-Based Pixel-Level Perception in Medical Images.

Qinyue Tong, Ziqian Lu, Jun Liu, Yangming Zheng, Zhe-Ming Lu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Hierarchical Divide-And-Conquer Grouping for Classification Adaptation of Pre-Trained Models.

Ziqian Lu, Yunlong Yu, Qinyue Tong, Jun Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

LORSTransformerDRL: A Novel Deep Reinforcement Learning Framework for Intelligent Stock Trading with Chaotic Oscillators and Attention Mechanisms.

Pengyue Ma, Zihang Zeng, Ziqian Lu, Raymond S. T. Lee

Proceedings of the IEEE International Conference on Big Data, 2025

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning.

Mushui Liu, Fangtai Wu, Bozheng Li, Ziqian Lu, Yunlong Yu, Xi Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Hierarchical contrastive representation for zero shot learning.

Ziqian Lu, Zheming Lu, Zewei He, Xuecheng Sun, Hao Luo, Yangming Zheng

Appl. Intell., October, 2024

Learning Multiple Criteria Calibration for Generalized Zero-shot Learning.

Ziqian Lu, Zheming Lu, Yunlong Yu, Zewei He, Hao Luo, Yangming Zheng

Knowl. Based Syst., 2024

Self-supervised graph representations with generative adversarial learning.

Xuecheng Sun, Zonghui Wang, Zheming Lu, Ziqian Lu

Neurocomputing, 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

CoRR, 2024

Improving Zero-Shot Generalization for CLIP with Variational Adapter.

Ziqian Lu, Fengli Shen, Mushui Liu, Yunlong Yu, Xi Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline.

Zixuan Chen, Zewei He, Ziqian Lu, Xuecheng Sun, Zhe-Ming Lu

Proceedings of the Computer Vision - ECCV 2024, 2024

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, Zhe-Ming Lu

CoRR, 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

CoRR, 2023

Reasoning in Different Directions: Triplet Learning for Scene Graph Generation.

Xuecheng Sun, Zhe-Ming Lu, Zewei He, Ziqian Lu, Hao Luo

IEEE Access, 2023

2022

Dual semantic-guided model for weakly-supervised zero-shot semantic segmentation.

Fengli Shen, Zhe-Ming Lu, Ziqian Lu, Zonghui Wang

Multim. Tools Appl., 2022

Learn more from less: Generalized zero-shot learning with severely limited labeled data.

Ziqian Lu, Zheming Lu, Yunlong Yu, Zonghui Wang

Neurocomputing, 2022

2020

Attentive Semantic Preservation Network for Zero-Shot Learning.

Ziqian Lu, Yunlong Yu, Zhe-Ming Lu, Feng-Li Shen, Zhongfei Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Characterizing serverless platforms with serverlessbench.

Tianyi Yu, Qingyuan Liu, Dong Du, Yubin Xia, Binyu Zang, Ziqian Lu, Pingchao Yang, Chenggang Qin, Haibo Chen

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020