Zheqi Lv

According to our database, Zheqi Lv authored at least 20 papers between 2022 and 2024.

Collaborative distances:

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

2024

Backpropogation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration.

Wei Ji, Li Li, Zheqi Lv, Wenqiao Zhang, Mengze Li, Zhen Wan, Wenqiang Lei, Roger Zimmermann

CoRR, 2024

LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation.

Haoyu Zheng, Wenqiao Zhang, Yaoke Wang, Hao Zhou, Jiang Liu, Juncheng Li, Zheqi Lv, Siliang Tang, Yueting Zhuang

CoRR, 2024

HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models.

Wenqiao Zhang, Tianwei Lin, Jiang Liu, Fangxun Shu, Haoyuan Li, Lei Zhang, Wanggui He, Hao Zhou, Zheqi Lv, Hao Jiang, Juncheng Li, Siliang Tang, Yueting Zhuang

CoRR, 2024

ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation.

Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang

CoRR, 2024

Intelligent Model Update Strategy for Sequential Recommendation.

Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang

Proceedings of the ACM on Web Conference 2024, 2024

Semantic Codebook Learning for Dynamic Recommendation Models.

Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback.

Minghe Gao, Juncheng Li, Hao Fei, Liang Pang, Wei Ji, Guoming Wang, Zheqi Lv, Wenqiao Zhang, Siliang Tang, Yueting Zhuang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation.

Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation.

Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer.

Wenqiao Zhang, Zheqi Lv

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning to Reweight for Generalizable Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.

Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu

Frontiers Inf. Technol. Electron. Eng., October, 2023

Learning to Reweight for Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

CoRR, 2023

Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer.

Wenqiao Zhang, Zheqi Lv, Hao Zhou, Jia-Wei Liu, Juncheng Li, Mengze Li, Siliang Tang, Yueting Zhuang

CoRR, 2023

IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System.

Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu

CoRR, 2023

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization.

Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu

Proceedings of the ACM Web Conference 2023, 2023

ART: rule bAsed futuRe-inference deducTion.

Mengze Li, Tianqi Zhao, Jionghao Bai, Baoyi He, Jiaxu Miao, Wei Ji, Zheqi Lv, Zhou Zhao, Shengyu Zhang, Wenqiao Zhang, Fei Wu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation.

Zheqi Lv, Feng Wang, Shengyu Zhang, Wenqiao Zhang, Kun Kuang, Fei Wu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization.

Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu

CoRR, 2022

Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling.

Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu

CoRR, 2022