Ziqian Lu

32 papers A* 2B 1Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Chat-MedGen: omni-adaptation of multi-modal large language models for diverse biomedical tasks.
Knowl. Based Syst.
Qinyue Tong, Ziqian Lu, Zheming Lu, Yunlong Yu, Jun Liu, Yang-Ming Zheng
2026 J jnl
Improving Anomaly Detection with Foundation-Model Synthesis and Wavelet-Domain Attention.
CoRR
Wensheng Wu, Zheming Lu, Ziqian Lu, Zewei He, Xuecheng Sun, Zhao Wang, Jungong Han, Yunlong Yu
2026 J jnl
Improving anomaly detection with foundation-model synthesis and wavelet-domain attention.
Neural Networks
Wensheng Wu, Zheming Lu, Ziqian Lu, Zewei He, Xuecheng Sun, Zhao Wang, Jungong Han, Yunlong Yu
2025 J jnl
Enhancing Skeleton-Based Action Recognition with Feature Maps from Pose Estimation Networks.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hao Wen, Zheming Lu, Fengli Shen, Ziqian Lu, Yangming Zheng, Jialin Cui
2025 A* conf
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning.
AAAI
Mushui Liu, Fangtai Wu, Bozheng Li, Ziqian Lu, Yunlong Yu, Xi Li
2025 J jnl
Fully fine-tuned CLIP models are efficient few-shot learners.
Knowl. Based Syst.
Mushui Liu, Bozheng Li, Jun Dan, Ziqian Lu, Zhao Wang, Yunlong Yu
2025 J jnl
Improving Skeleton-based Action Recognition with Interactive Object Information.
CoRR
Hao Wen, Ziqian Lu, Fengli Shen, Zheming Lu, Jia-Lin Cui
2025 J jnl
Improving skeleton-based action recognition with interactive object information.
Int. J. Multim. Inf. Retr.
Hao Wen, Ziqian Lu, Fengli Shen, Zheming Lu, Jia-Lin Cui
2025 B conf
LORSTransformerDRL: A Novel Deep Reinforcement Learning Framework for Intelligent Stock Trading with Chaotic Oscillators and Attention Mechanisms.
IEEE Big Data
Pengyue Ma, Zihang Zeng, Ziqian Lu, Raymond S. T. Lee
2025 J jnl
Mask-free Iterative Refinement Network for weakly-supervised Few-shot Semantic Segmentation.
Neurocomputing
Shanjuan Chen, Yunlong Yu, Yingming Li, Ziqian Lu, Yulin Zhou
2025 J jnl
MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images.
CoRR
Qinyue Tong, Ziqian Lu, Jun Liu, Rui Zuo, Zheming Lu
2025 A* conf
MediSee: Reasoning-Based Pixel-Level Perception in Medical Images.
ACM Multimedia
Qinyue Tong, Ziqian Lu, Jun Liu, Yangming Zheng, Zhe-Ming Lu
2025 J jnl
MediSee: Reasoning-based Pixel-level Perception in Medical Images.
CoRR
Qinyue Tong, Ziqian Lu, Jun Liu, Yangming Zheng, Zhe-Ming Lu
2025 J jnl
Progressive Multi-Prompt Learning for Vision-Language Models.
IEEE Trans. Circuits Syst. Video Technol.
Jun Liu, Ziqian Lu, Hao Luo, Zheming Lu, Yangming Zheng
2025 J jnl
Synth-CLIP: Synthetic data make CLIP generalize better in data-limited scenarios.
Neural Networks
Mushui Liu, Weijie He, Ziqian Lu, Jun Dan, Yunlong Yu, Yingming Li, Xi Li, Jungong Han
2025 J jnl
Unlocking the Forgery Detection Potential of Vanilla MLLMs: A Novel Training-Free Pipeline.
CoRR
Rui Zuo, Qinyue Tong, Zhe-Ming Lu, Ziqian Lu
2025 J jnl
Variational Adapter: Improving CLIP in Data-Imbalanced Scenarios.
IEEE Trans. Circuits Syst. Video Technol.
Ziqian Lu, Mushui Liu, Yunlong Yu, Zhao Wang, Xi Li, Jungong Han
2024 J jnl
CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation.
CoRR
Mushui Liu, Jun Dan, Ziqian Lu, Yunlong Yu, Yingming Li, Xi Li
2024 J jnl
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning.
CoRR
Mushui Liu, Fangtai Wu, Bozheng Li, Ziqian Lu, Yunlong Yu, Xi Li
2024 J jnl
Hierarchical contrastive representation for zero shot learning.
Appl. Intell.
Ziqian Lu, Zheming Lu, Zewei He, Xuecheng Sun, Hao Luo, Yangming Zheng
2024 — conf
Improving Zero-Shot Generalization for CLIP with Variational Adapter.
ECCV (20)
Ziqian Lu, Fengli Shen, Mushui Liu, Yunlong Yu, Xi Li
2024 J jnl
Learning Multiple Criteria Calibration for Generalized Zero-shot Learning.
Knowl. Based Syst.
Ziqian Lu, Zheming Lu, Yunlong Yu, Zewei He, Hao Luo, Yangming Zheng
2024 — conf
Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline.
ECCV (76)
Zixuan Chen, Zewei He, Ziqian Lu, Xuecheng Sun, Zhe-Ming Lu
2024 J jnl
Self-supervised graph representations with generative adversarial learning.
Neurocomputing
Xuecheng Sun, Zonghui Wang, Zheming Lu, Ziqian Lu
2023 J jnl
Accurate and lightweight dehazing via multi-receptive-field non-local network and novel contrastive regularization.
CoRR
Zewei He, Zixuan Chen, Ziqian Lu, Xuecheng Sun, Zhe-Ming Lu
2023 J jnl
Prompt-based test-time real image dehazing: a novel pipeline.
CoRR
Zixuan Chen, Zewei He, Ziqian Lu, Zhe-Ming Lu
2023 J jnl
Reasoning in Different Directions: Triplet Learning for Scene Graph Generation.
IEEE Access
Xuecheng Sun, Zhe-Ming Lu, Zewei He, Ziqian Lu, Hao Luo
2023 J jnl
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios.
CoRR
Mushui Liu, Weijie He, Ziqian Lu, Yunlong Yu
2022 J jnl
Dual semantic-guided model for weakly-supervised zero-shot semantic segmentation.
Multim. Tools Appl.
Fengli Shen, Zhe-Ming Lu, Ziqian Lu, Zonghui Wang
2022 J jnl
Learn more from less: Generalized zero-shot learning with severely limited labeled data.
Neurocomputing
Ziqian Lu, Zheming Lu, Yunlong Yu, Zonghui Wang
2020 — conf
Attentive Semantic Preservation Network for Zero-Shot Learning.
CVPR Workshops
Ziqian Lu, Yunlong Yu, Zhe-Ming Lu, Feng-Li Shen, Zhongfei Zhang
2020 — conf
Characterizing serverless platforms with serverlessbench.
SoCC
TianYi Yu, Qingyuan Liu, Dong Du, Yubin Xia, Binyu Zang, Ziqian Lu, Pingchao Yang, Chenggang Qin, Haibo Chen