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Haijun Lv
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2020 – today
- 2024
- [c2]Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu:
AdaLomo: Low-memory Optimization with Adaptive Learning Rate. ACL (Findings) 2024: 12486-12502 - [i5]Jiantao Qiu, Haijun Lv, Zhenjiang Jin, Rui Wang, Wenchang Ning, Jia Yu, ChaoBin Zhang, Zhenxiang Li, Pei Chu, Yuan Qu, Jin Shi, Lindong Lu, Runyu Peng, Zhiyuan Zeng, Huanze Tang, Zhikai Lei, Jiawei Hong, Keyu Chen, Zhaoye Fei, Ruiliang Xu, Wei Li, Zhongying Tu, Dahua Lin, Yu Qiao, Hang Yan, Conghui He:
WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset. CoRR abs/2402.19282 (2024) - [i4]Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, Fukai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, et al.:
InternLM2 Technical Report. CoRR abs/2403.17297 (2024) - [i3]Zhi Chen, Qiguang Chen, Libo Qin, Qipeng Guo, Haijun Lv, Yicheng Zou, Wanxiang Che, Hang Yan, Kai Chen, Dahua Lin:
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices. CoRR abs/2409.01893 (2024) - 2023
- [j6]Yongquan Yang, Haijun Lv, Ning Chen:
A Survey on ensemble learning under the era of deep learning. Artif. Intell. Rev. 56(6): 5545-5589 (2023) - [i2]Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu:
AdaLomo: Low-memory Optimization with Adaptive Learning Rate. CoRR abs/2310.10195 (2023) - 2022
- [j5]Jianguang Zhu, Juan Wei, Haijun Lv, Binbin Hao:
Truncated Fractional-Order Total Variation for Image Denoising under Cauchy Noise. Axioms 11(3): 101 (2022) - 2021
- [j4]Jianguang Zhu, Haijun Lv, Binbin Hao, Jianwen Peng:
Non-Convex High Order Total Variation With Overlapping Group Sparsity Denoising Model Under Cauchy Noise. IEEE Access 9: 49901-49911 (2021) - [j3]Yongquan Yang, Haijun Lv, Ning Chen, Yang Wu, Jiayi Zheng, Zhongxi Zheng:
Local minima found in the subparameter space can be effective for ensembles of deep convolutional neural networks. Pattern Recognit. 109: 107582 (2021) - [i1]Yongquan Yang, Haijun Lv:
Discussion of Ensemble Learning under the Era of Deep Learning. CoRR abs/2101.08387 (2021) - 2020
- [j2]Jianguang Zhu, Haijun Lv, Kai Li, Binbin Hao:
Constrained Minimization Problem for Image Restoration Based on Non-Convex Hybrid Regularization. IEEE Access 8: 162657-162667 (2020) - [j1]Yongquan Yang, Haijun Lv, Ning Chen, Yang Wu, Zhongxi Zheng:
FTBME: feature transferring based multi-model ensemble. Multim. Tools Appl. 79(25-26): 18767-18799 (2020)
2010 – 2019
- 2016
- [c1]Yunguang Deng, Haijun Lv:
The analysis of the causes of alibaba's "double eleven shopping festival" sales growth rate slowing under the new normal. LISS 2016: 1-4
Coauthor Index
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