Zheqi Lv

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 19

Top Topics

Generation Algorithm

Network Parameters

Top Venues

Publications

Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang
Intelligent Model Update Strategy for Sequential Recommendation. WWW (2024)
Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation. KDD (2024)
Wei Ji, Li Li, Zheqi Lv, Wenqiao Zhang, Mengze Li, Zhen Wan, Wenqiang Lei, Roger Zimmermann
Backpropogation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration. CoRR (2024)
Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation. CoRR (2024)
Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation. CoRR (2024)
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. CoRR (2024)
Haoyu Zheng, Wenqiao Zhang, Yaoke Wang, Hao Zhou, Jiang Liu, Juncheng Li, Zheqi Lv, Siliang Tang, Yueting Zhuang
LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation. CoRR (2024)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Generalizable Graph Neural Network. AAAI (2024)
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. ICLR (2024)
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
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models. CoRR (2024)
Zheqi Lv, Feng Wang, Shengyu Zhang, Wenqiao Zhang, Kun Kuang, Fei Wu
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation. CICAI (1) (2023)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Graph Neural Network. CoRR (2023)
Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. CoRR (2023)
Mengze Li, Tianqi Zhao, Jionghao Bai, Baoyi He, Jiaxu Miao, Wei Ji, Zheqi Lv, Zhou Zhao, Shengyu Zhang, Wenqiao Zhang, Fei Wu
ART: rule bAsed futuRe-inference deducTion. EMNLP (2023)
Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW (2023)
Wenqiao Zhang, Zheqi Lv, Hao Zhou, Jia-Wei Liu, Juncheng Li, Mengze Li, Siliang Tang, Yueting Zhuang
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer. CoRR (2023)
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24 (10) (2023)
Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. CoRR (2022)
Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. CoRR (2022)