| Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives T Shen, J Zhang, X Jia, F Zhang, Z Lv, K Kuang, C Wu, F Wu FITEE, 2023 | 170* | 2023 |
| DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization Z Lv, W Zhang, S Zhang, K Kuang, F Wang, Y Wang, Z Chen, T Shen, ... WWW2023, 2023 | 57 | 2023 |
| Intelligent model update strategy for sequential recommendation Z Lv, W Zhang, Z Chen, S Zhang, K Kuang Proceedings of the ACM on Web Conference 2024, 3117-3128, 2024 | 41* | 2024 |
| Health status prediction for the elderly based on machine learning FY Qin, ZQ Lv, DN Wang, B Hu, C Wu Archives of gerontology and geriatrics 90, 104121, 2020 | 36 | 2020 |
| Revisiting the domain shift and sample uncertainty in multi-source active domain transfer W Zhang*, Z Lv*✉︎, H Zhou, JW Liu, J Li, M Li, Y Li, D Zhang, Y Zhuang, ... CVPR2024, 2024 | 16 | 2024 |
| Learning to reweight for generalizable graph neural network Z Chen, T Xiao, K Kuang, Z Lv, M Zhang, J Yang, C Lu, H Yang, F Wu AAAI2024, 2024 | 14 | 2024 |
| HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models W Zhang, T Lin, J Liu, F Shu, H Li, L Zhang, H Wanggui, H Zhou, Z Lv, ... arXiv preprint arXiv:2403.13447, 2024 | 13 | 2024 |
| Personalizing intervened network for long-tailed sequential user behavior modeling Z Lv, F Wang, S Zhang, K Kuang, H Yang, F Wu arXiv preprint arXiv:2208.09130, 2022 | 10 | 2022 |
| De-fine: Decomposing and refining visual programs with auto-feedback M Gao, J Li, H Fei, L Pang, W Ji, G Wang, Z Lv, W Zhang, S Tang, ... MM2024 (Oral), 2023 | 9 | 2023 |
| Semantic Codebook Learning for Dynamic Recommendation Models Z Lv, S He, T Zhan, S Zhang, W Zhang, J Chen, Z Zhao, F Wu MM2024, 2024 | 7 | 2024 |
| ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation Z Tang, Z Lv, S Zhang, F Wu, K Kuang arXiv preprint arXiv:2402.12408, 2024 | 7 | 2024 |
| AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation Z Tang, Z Lv, S Zhang, Y Zhou, X Duan, F Wu, K Kuang ICLR2024, 2024 | 6 | 2024 |
| Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation Z Lv, F Wang, S Zhang, W Zhang, K Kuang, F Wu CICAI2023, 2023 | 5 | 2023 |
| DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation K Fu, S Zhang, Z Lv, J Chen, J Li KDD2024, 2024 | 4 | 2024 |
| LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation H Zheng, W Zhang, Y Wang, H Zhou, J Liu, J Li, Z Lv, S Tang, Y Zhuang arXiv preprint arXiv:2404.13558, 2024 | 3 | 2024 |
| A Brief SURVEY OF DATA PRICING FOR MACHINE LEARNING Z Tang, Z Lv, C Wu CS & IT Conference Proceedings 10 (2), 2020 | 3 | 2020 |
| Learning to Reweight for Graph Neural Network Z Chen, T Xiao, K Kuang, Z Lv, M Zhang, J Yang, C Lu, H Yang, F Wu arXiv preprint arXiv:2312.12475, 2023 | 2 | 2023 |
| ART: rule bAsed futuRe-inference deducTion M Li, T Zhao, B Jionghao, B He, J Miao, W Ji, Z Lv, Z Zhao, S Zhang, ... EMNLP2023, 2023 | 2 | 2023 |
| Backpropagation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration W Ji, L Li, Z Lv*✉︎, W Zhang, M Li, Z Wan, W Lei, R Zimmermann TOMM2025 21 (2), 1-17, 2025 | 1 | 2025 |
| Cascaded Self-Evaluation Augmented Training for Efficient Multimodal Large Language Models Z Lv, W Wang, J Wang, S Zhang, F Wu arXiv preprint arXiv:2501.05662, 2025 | | 2025 |
Kun KuangZhejiang UniversityAdresse e-mail validée de zju.edu.cn
