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Ziang Zhou

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2020 – today

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2025
[c7]
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Hao Lan, Ziang Zhou, Qi Zhu, Wei Yan, Qinfen Hao, Xiaochun Ye, Yong Liu, Ninghui Sun:
ParTEE: A Framework for Secure Parallel Computing of RISC-V Trusted Execution Environments. Euro-Par (2) 2025: 132-145
[c6]
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Ziang Zhou, Qi Zhu, Hao Lan, Huifeng Zhu, Wei Yan, Chenglu Jin, Xuejun An, Xiaochun Ye:
CacheGuardian: A Timing Side-Channel Resilient LLC Design. ICCAD 2025: 1-9
[c5]
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Ziang Zhou, Zhihao Ding, Jieming Shi, Qing Li, Shiqi Shen:
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation. ICML 2025
[i9]
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  - journals/corr/abs-2503-02863
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Ziang Zhou, Tianyuan Jin, Jieming Shi, Qing Li:
Calibrating LLM Confidence with Semantic Steering: A Multi-Prompt Aggregation Framework. CoRR abs/2503.02863 (2025)
[i8]
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  - journals/corr/abs-2508-13479
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Chao Wang, Francesco Banterle, Bin Ren, Radu Timofte, Xin Lu, Yufeng Peng, Chengjie Ge, Zhijing Sun, Ziang Zhou, Zihao Li, Zishun Liao, Qiyu Kang, Xueyang Fu, Zheng-Jun Zha, Zhijing Sun, Xingbo Wang, Kean Liu, Senyan Xu, Yang Qiu, Yifan Ding, Gabriel Eilertsen, Jonas Unger, Zihao Wang, Ke Wu, Jinshan Pan, Zhen Liu, Zhongyang Li, Shuaicheng Liu, S. M. Nadim Uddin:
AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results. CoRR abs/2508.13479 (2025)
[i7]
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  - journals/corr/abs-2509-06793
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George Ciubotariu, Florin-Alexandru Vasluianu, Zhuyun Zhou, Nancy Mehta, Radu Timofte, Ke Wu, Long Sun, Lingshun Kong, Zhongbao Yang, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Hao Chen, Yinghui Fang, Dafeng Zhang, Yongqi Song, Jiangbo Guo, Shuhua Jin, Zeyu Xiao, Rui Zhao, Zhuoyuan Li, Cong Zhang, Yufeng Peng, Xin Lu, Zhijing Sun, Chengjie Ge, Zihao Li, Zishun Liao, Ziang Zhou, Qiyu Kang, Xueyang Fu, Zheng-Jun Zha, Yuqian Zhang, Shuai Liu, Jie Liu, Zhuhao Zhang, Lishen Qu, Zhihao Liu, Shihao Zhou, Yaqi Luo, Juncheng Zhou, Jufeng Yang, Qianfeng Yang, Qiyuan Guan, Xiang Chen, Guiyue Jin, Jiyu Jin:
AIM 2025 Challenge on High FPS Motion Deblurring: Methods and Results. CoRR abs/2509.06793 (2025)
2024
[j6]
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  - journals/eaai/ZhouZSWL24
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Ziang Zhou, Wensong Zhao, Kechen Song, Yanyan Wang, Jun Li:
EAFNet: Extraction-amplification-fusion network for tiny cracks detection. Eng. Appl. Artif. Intell. 134: 108691 (2024)
[j5]
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Hongrui Li, Shuangxin Wang, Jiading Jiang, Chuiyi Deng, Junmei Ou, Ziang Zhou, Dingli Yu:
Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling. Neurocomputing 583: 127600 (2024)
[j4]
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Ziang Zhou, Wensong Zhao, Jun Li, Kechen Song:
SPCNet: a strip pyramid ConvNeXt network for detection of road surface defects. Signal Image Video Process. 18(1): 37-45 (2024)
[i6]
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  - journals/corr/abs-2405-01927
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Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li:
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network. CoRR abs/2405.01927 (2024)
[i5]
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  - journals/corr/abs-2412-11180
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Ziang Zhou, Zhihao Ding, Jieming Shi, Qing Li, Shiqi Shen:
GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation. CoRR abs/2412.11180 (2024)
2023
[j3]
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  - journals/isci/ZhouSZH023
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Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li:
Effective stabilized self-training on few-labeled graph data. Inf. Sci. 631: 369-384 (2023)
[j2]
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Haishan Ye, Luo Luo, Ziang Zhou, Tong Zhang:
Multi-Consensus Decentralized Accelerated Gradient Descent. J. Mach. Learn. Res. 24: 306:1-306:50 (2023)
[c4]
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Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li:
SlotGAT: Slot-based Message Passing for Heterogeneous Graphs. ICML 2023: 42644-42657
2022
[c3]
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  - conf/icpr/PanWJZGZYL22
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Yueran Pan, Jiaxin Wu, Ran Ju, Ziang Zhou, Jiayue Gu, Songtian Zeng, Lynn Yuan, Ming Li:
A Multimodal Framework for Automated Teaching Quality Assessment of One-to-many Online Instruction Videos. ICPR 2022: 1777-1783
2021
[j1]
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  - journals/jifs/KunWZQ21
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Xu Kun, Zhiliang Wang, Ziang Zhou, Wang Qi:
Design of industrial internet of things system based on machine learning and artificial intelligence technology. J. Intell. Fuzzy Syst. 40(2): 2601-2611 (2021)
[i4]
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  - journals/corr/abs-2104-06004
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Ziang Zhou, Yanze Xu, Shilei Zhang, Ming Li:
Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion. CoRR abs/2104.06004 (2021)
2020
[c2]
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  - conf/kdd/ZhangHZZ20
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Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou:
SCE: Scalable Network Embedding from Sparsest Cut. KDD 2020: 257-265
[c1]
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Haishan Ye, Ziang Zhou, Luo Luo, Tong Zhang:
Decentralized Accelerated Proximal Gradient Descent. NeurIPS 2020
[i3]
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  - journals/corr/abs-2005-00797
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Haishan Ye, Luo Luo, Ziang Zhou, Tong Zhang:
Multi-consensus Decentralized Accelerated Gradient Descent. CoRR abs/2005.00797 (2020)
[i2]
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  - journals/corr/abs-2006-16499
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Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou:
SCE: Scalable Network Embedding from Sparsest Cut. CoRR abs/2006.16499 (2020)

2010 – 2019

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2019
[i1]
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  - journals/corr/abs-1910-02684
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Ziang Zhou, Shenzhong Zhang, Zengfeng Huang:
Dynamic Self-training Framework for Graph Convolutional Networks. CoRR abs/1910.02684 (2019)

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