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ORCIDZhihua Wu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j21]Shuai Teng, Airong Liu, Bingcong Chen
, Jialin Wang, Zhihua Wu, Ji-Yang Fu:
Unsupervised learning method for underwater concrete crack image enhancement and augmentation based on cross domain translation strategy. Eng. Appl. Artif. Intell. 136: 108884 (2024)- [j20]Zhiwu Shang, Zehua Feng, Wanxiang Li, Zhihua Wu, Hongchuan Cheng:
Capsule Network Based on Double-layer Attention Mechanism and Multi-scale Feature Extraction for Remaining Life Prediction. Neural Process. Lett. 56(3): 195 (2024) - [j19]Engang Tian, Zhihua Wu, Xiangpeng Xie:
Codesign of FDI Attacks Detection, Isolation, and Mitigation for Complex Microgrid Systems: An HBF-NN-Based Approach. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6156-6165 (2024) - [j18]Jinghui Zhang, Jiawei Wang, Yaning Li, Fa Xin, Fang Dong, Junzhou Luo, Zhihua Wu:
Addressing Heterogeneity in Federated Learning with Client Selection via Submodular Optimization. ACM Trans. Sens. Networks 20(2): 48:1-48:32 (2024) - [c11]Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Bin Cui:
Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement. KDD 2024: 2745-2754 - [i21]Yufan Jiang, Qiaozhi He, Xiaomin Zhuang, Zhihua Wu:
Code Comparison Tuning for Code Large Language Models. CoRR abs/2403.19121 (2024) - [i20]Qiaozhi He, Zhihua Wu:
Efficient LLM Inference with Kcache. CoRR abs/2404.18057 (2024) - [i19]Xiaomin Zhuang, Yufan Jiang, Qiaozhi He, Zhihua Wu:
ChuXin: 1.6B Technical Report. CoRR abs/2405.04828 (2024) - [i18]Qiaozhi He, Xiaomin Zhuang, Zhihua Wu:
Exploring Scaling Laws for Local SGD in Large Language Model Training. CoRR abs/2409.13198 (2024) - 2023
- [j17]Shaobao Wu, Zhihua Wu, Meixuan Huang, Dongsheng Shen:
A Robust Image Watermarking Scheme Based on Image Normalization and Contourlet Transform. IEEE Access 11: 105810-105818 (2023) - [j16]Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou:
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments. Future Gener. Comput. Syst. 148: 106-117 (2023) - [j15]Jinghui Zhang, Geng Niu, Qiangsheng Dai, Haorui Li, Zhihua Wu, Fang Dong, Zhiang Wu:
PipePar: Enabling fast DNN pipeline parallel training in heterogeneous GPU clusters. Neurocomputing 555: 126661 (2023) - [j14]Li Wang, Xin Wu, Yi Zhang, Xinyun Zhang, Lianming Xu, Zhihua Wu, Aiguo Fei:
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality. IEEE J. Sel. Top. Signal Process. 17(5): 1052-1063 (2023) - [j13]Zhihua Wu, Aike Guo:
Bioinspired figure-ground discrimination via visual motion smoothing. PLoS Comput. Biol. 19(4) (2023) - [c10]Xu Xie, Jin Niu, Lifang Deng, Dan Wang, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Gang Cao, Bin Cui:
Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction. ICDE 2023: 3058-3071 - [i17]Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang:
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training. CoRR abs/2302.09915 (2023) - [i16]Yufan Jiang, Qiaozhi He, Xiaomin Zhuang, Zhihua Wu, Kunpeng Wang, Wenlai Zhao, Guangwen Yang:
RecycleGPT: An Autoregressive Language Model with Recyclable Module. CoRR abs/2308.03421 (2023) - 2022
- [j12]Renjie Gu, Chaoyue Niu, Fan Wu, Guihai Chen, Chun Hu, Chengfei Lyu, Zhihua Wu:
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey. ACM Comput. Surv. 54(1): 6:1-6:36 (2022) - [j11]Qiang Shen, Yukun Hua, Yuxing Huang, Richard P. Ebstein, Xiaofen Yu, Zhihua Wu:
Knowledge management and modern digital transformation of the property management industry in China. J. Knowl. Manag. 26(8): 2133-2144 (2022) - [c9]Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhihua Wu, Zhen Guo, Hua Lu, Xinxian Huang, Xin Tian, Xinchao Xu, Yingzhan Lin, Zheng-Yu Niu:
PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation. AACL/IJCNLP (Findings) 2022: 107-118 - [c8]Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang:
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training. NeurIPS 2022 - [i15]Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, Dianhai Yu:
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters. CoRR abs/2205.09470 (2022) - [i14]Liang Shen, Zhihua Wu, Weibao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Haoyi Xiong, Dianhai Yu, Yanjun Ma:
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System. CoRR abs/2205.10034 (2022) - [i13]Guoxia Wang, Xiaomin Fang, Zhihua Wu, Yiqun Liu, Yang Xue, Yingfei Xiang, Dianhai Yu, Fan Wang, Yanjun Ma:
HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle. CoRR abs/2207.05477 (2022) - [i12]Jinle Zeng, Min Li, Zhihua Wu, Jiaqi Liu, Yuang Liu, Dianhai Yu, Yanjun Ma:
Boosting Distributed Training Performance of the Unpadded BERT Model. CoRR abs/2208.08124 (2022) - [i11]Guoxia Wang, Zhihua Wu, Xiaomin Fang, Yingfei Xiang, Yiqun Liu, Dianhai Yu, Yanjun Ma:
Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism. CoRR abs/2211.00235 (2022) - 2021
- [j10]Jiqiao Zhang, Zhihua Wu, Gongfa Chen, Qiang Liang:
Comparisons of Differential Filtering and Homography Transformation in Modal Parameter Identification from UAV Measurement. Sensors 21(16): 5664 (2021) - [c7]Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding:
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency. ICCV 2021: 8076-8085 - [i10]Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding:
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency. CoRR abs/2106.02342 (2021) - [i9]Yu Sun, Shuohuan Wang, Shikun Feng, Siyu Ding, Chao Pang, Junyuan Shang, Jiaxiang Liu, Xuyi Chen, Yanbin Zhao, Yuxiang Lu, Weixin Liu, Zhihua Wu, Weibao Gong, Jianzhong Liang, Zhizhou Shang, Peng Sun, Wei Liu, Xuan Ouyang, Dianhai Yu, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. CoRR abs/2107.02137 (2021) - [i8]Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhihua Wu, Zhen Guo, Hua Lu, Xinxian Huang, Xin Tian, Xinchao Xu, Yingzhan Lin, Zhengyu Niu:
PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation. CoRR abs/2109.09519 (2021) - [i7]Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou:
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments. CoRR abs/2111.10635 (2021) - [i6]Yulong Ao, Zhihua Wu, Dianhai Yu, Weibao Gong, Zhiqing Kui, Minxu Zhang, Zilingfeng Ye, Liang Shen, Yanjun Ma, Tian Wu, Haifeng Wang, Wei Zeng, Chao Yang:
End-to-end Adaptive Distributed Training on PaddlePaddle. CoRR abs/2112.02752 (2021) - [i5]Shuohuan Wang, Yu Sun, Yang Xiang, Zhihua Wu, Siyu Ding, Weibao Gong, Shikun Feng, Junyuan Shang, Yanbin Zhao, Chao Pang, Jiaxiang Liu, Xuyi Chen, Yuxiang Lu, Weixin Liu, Xi Wang, Yangfan Bai, Qiuliang Chen, Li Zhao, Shiyong Li, Peng Sun, Dianhai Yu, Yanjun Ma, Hao Tian, Hua Wu, Tian Wu, Wei Zeng, Ge Li, Wen Gao, Haifeng Wang:
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. CoRR abs/2112.12731 (2021) - [i4]Han Zhang, Weichong Yin, Yewei Fang, Lanxin Li, Boqiang Duan, Zhihua Wu, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation. CoRR abs/2112.15283 (2021) - 2020
- [c6]Shaobao Wu, Zhihua Wu, Guodong Wang, Dongsheng Shen:
An Image Watermarking Scheme Based on Voting Mechanism in Balanced Multiwavelet Domain. AIPR 2020: 168-173 - [c5]Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lyu, Zhihua Wu:
MNN: A Universal and Efficient Inference Engine. MLSys 2020 - [c4]Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen:
Billion-scale federated learning on mobile clients: a submodel design with tunable privacy. MobiCom 2020: 31:1-31:14 - [i3]Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Zhihua Wu:
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability. CoRR abs/2002.07399 (2020) - [i2]Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lv, Zhihua Wu:
MNN: A Universal and Efficient Inference Engine. CoRR abs/2002.12418 (2020)
2010 – 2019
- 2019
- [c3]Shaobao Wu, Zhihua Wu, Weijun Lai, Dongsheng Shen:
Localizing JPEG Image Forgeries via SIFT and DCT Coefficient Analysis. ICCT 2019: 1635-1638 - [i1]Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen:
Secure Federated Submodel Learning. CoRR abs/1911.02254 (2019) - 2018
- [c2]Fei Long, Meixia Xu, Yulei Li, Zhihua Wu, Qiang Ling:
XiaoA: A Robot Editor for Popularity Prediction of Online News Based on Ensemble Learning. IFIP TC12 ICIS 2018: 340-350 - 2017
- [j9]Zhihua Wu, Aike Guo, Xiaodi Fu:
Generation of low-gamma oscillations in a GABAergic network model of the striatum. Neural Networks 95: 72-90 (2017) - 2012
- [j8]Zeqing Liu, Zhihua Wu, Shin Min Kang, Sunhong Lee:
Some Fixed Point Theorems for Nonlinear Set-Valued Contractive Mappings. J. Appl. Math. 2012: 786061:1-786061:13 (2012) - 2011
- [j7]Zhihua Wu, Aike Guo:
A model study on the circuit mechanism underlying decision-making in Drosophila. Neural Networks 24(4): 333-344 (2011) - 2010
- [j6]Zhihua Wu, Yoko Yamaguchi:
Independence of the unimodal tuning of firing rate from theta phase precession in hippocampal place cells. Biol. Cybern. 102(2): 95-107 (2010)
2000 – 2009
- 2007
- [c1]Yoko Yamaguchi, Colin Molter, Zhihua Wu, Harshavardhan A. Agashe, Hiroaki Wagatsuma:
A Computational Model of Formation of Grid Field and Theta Phase Precession in the Entorhinal Cells. ICONIP (1) 2007: 151-159 - 2006
- [j5]Zhihua Wu, Yoko Yamaguchi:
Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampus. Neural Networks 19(5): 547-563 (2006) - 2004
- [j4]Zhihua Wu, Yoko Yamaguchi:
Input-dependent learning rule for the memory of spatiotemporal sequences in hippocampal network with theta phase precession. Biol. Cybern. 90(2): 113-124 (2004) - [j3]Zhihua Wu, Yoko Yamaguchi:
Input-dependent learning rule for the memory of spatiotemporal sequences in hippocampal network with theta phase precession. Biol. Cybern. 90(4): 310 (2004) - 2000
- [j2]Zhihua Wu, Zhefeng Gong, Chunhua Feng, Aike Guo:
An emergent mechanism of selective visual attention in Drosophila. Biol. Cybern. 82(1): 61-68 (2000)
1990 – 1999
- 1999
- [j1]Zhihua Wu, Aike Guo:
Selective visual attention in a neurocomputational model of phase oscillators. Biol. Cybern. 80(3): 205-214 (1999)
Coauthor Index
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