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Zheqi Lv
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2020 – today
- 2024
- [c8]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: 8320-8328 - [c7]Wenqiao Zhang, Zheqi Lv:
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer. CVPR 2024: 16751-16761 - [c6]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 - [c5]Kairui Fu
, Shengyu Zhang
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation. KDD 2024: 816-826 - [c4]Zheqi Lv
Intelligent Model Update Strategy for Sequential Recommendation. WWW 2024: 3117-3128 - [i12]Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang:
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation. CoRR abs/2402.12408 (2024) - [i11]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 abs/2403.07030 (2024) - [i10]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 abs/2403.13447 (2024) - [i9]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 abs/2404.13558 (2024) - [i8]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 abs/2406.01601 (2024) - [i7]Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li:
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation. CoRR abs/2406.08804 (2024) - [i6]Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu:
Semantic Codebook Learning for Dynamic Recommendation Models. CoRR abs/2408.00123 (2024) - 2023
- [j1]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24(10): 1390-1402 (2023) - [c3]Zheqi Lv
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation. CICAI (1) 2023: 442-459 - [c2]Mengze Li, Tianqi Zhao, Jionghao Bai, Baoyi He, Jiaxu Miao, Wei Ji, Zheqi Lv
ART: rule bAsed futuRe-inference deducTion. EMNLP 2023: 9512-9522 - [c1]Zheqi Lv
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW 2023: 3077-3085 - [i5]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 abs/2302.07335 (2023) - [i4]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 abs/2311.12905 (2023) - [i3]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 abs/2312.12475 (2023) - 2022
- [i2]Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu:
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. CoRR abs/2208.09130 (2022) - [i1]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 abs/2209.05227 (2022)
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last updated on 2024-10-07 02:38 CEST by the dblp team
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