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Jiahui Zhao
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
- [j6]Tuo Zang, Jianfeng Tu, Mengran Duan, Zhipeng Chen, Hao Cheng, Hanrui Jiang, Jiahui Zhao, Lingfeng Liu
:
Priori separation graph convolution with long-short term temporal modeling for skeleton-based action recognition. Appl. Intell. 54(17-18): 7621-7635 (2024) - [j5]Jiahui Zhao
, Mingyi Liu, Bin Zhang, Xiaolong Wang, Dawei Liu, Jianxing Wang, Panxing Bai, Chenghao Liu, Yue Sun, Yong Zhu
:
Review of Lithium-Ion Battery Fault Features, Diagnosis Methods, and Diagnosis Procedures. IEEE Internet Things J. 11(11): 18936-18950 (2024) - [j4]Haowen Sun
, Ming Chen, Yijin Pan, Yihan Cang
, Jiahui Zhao
, Yuanzhi Sun:
Deep Reinforcement Learning-Empowered Trajectory and Resource Allocation Optimization for UAV-Assisted MEC Systems. IEEE Wirel. Commun. Lett. 13(7): 1823-1827 (2024) - [c13]Linhao Yu, Yongqi Leng, Yufei Huang, Shang Wu, Haixin Liu, Xinmeng Ji, Jiahui Zhao, Jinwang Song, Tingting Cui, Xiaoqing Cheng, Liutao Liutao, Deyi Xiong:
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models. ACL (Findings) 2024: 11817-11837 - [c12]Hongwu Peng
, Xi Xie
, Kaustubh Shivdikar
, Md Amit Hasan
, Jiahui Zhao
, Shaoyi Huang
, Omer Khan
, David R. Kaeli
, Caiwen Ding
:
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. ASPLOS (2) 2024: 683-698 - [d2]Hongwu Peng
, Xi Xie
, Kaustubh Shivdikar
, Amit Hasan
, Jiahui Zhao
, Shaoyi Huang
, Omer Khan, David R. Kaeli
, Caiwen Ding
:
ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". Version 1. Zenodo, 2024 [all versions] - [d1]Hongwu Peng
, Xi Xie
, Kaustubh Shivdikar
, Amit Hasan
, Jiahui Zhao
, Shaoyi Huang
, Omer Khan, David R. Kaeli
, Caiwen Ding
:
ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". Version 2. Zenodo, 2024 [all versions] - [i13]Jiahui Zhao, Ziyi Meng, Stepan Gordeev, Zijie Pan, Dongjin Song, Sandro Steinbach, Caiwen Ding:
Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements. CoRR abs/2401.12520 (2024) - [i12]Wanling Gao, Yuan Liu, Zhuoming Yu, Dandan Cui, Wenjing Liu, Xiaoshuang Liang, Jiahui Zhao, Jiyue Xie, Hao Li, Li Ma, Ning Ye, Yumiao Kang, Dingfeng Luo, Peng Pan, Wei Huang, Zhongmou Liu, Jizhong Hu, Fan Huang, Gangyuan Zhao, Chongrong Jiang, Tianyi Wei, Zhifei Zhang, Yunyou Huang, Jianfeng Zhan:
AI.vs.Clinician: Unveiling Intricate Interactions Between AI and Clinicians through an Open-Access Database. CoRR abs/2406.07362 (2024) - [i11]Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas:
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR abs/2406.14449 (2024) - [i10]Tong Zhou, Jiahui Zhao, Yukui Luo, Xi Xie, Wujie Wen, Caiwen Ding, Xiaolin Xu:
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing. CoRR abs/2407.05633 (2024) - [i9]Wanling Gao, Yunyou Huang, Dandan Cui, Zhuoming Yu, Wenjing Liu, Xiaoshuang Liang, Jiahui Zhao, Jiyue Xie, Hao Li, Li Ma, Ning Ye, Yumiao Kang, Dingfeng Luo, Peng Pan, Wei Huang, Zhongmou Liu, Jizhong Hu, Gangyuan Zhao, Chongrong Jiang, Fan Huang, Tianyi Wei, Suqin Tang, Bingjie Xia, Zhifei Zhang, Jianfeng Zhan:
Establishing Rigorous and Cost-effective Clinical Trials for Artificial Intelligence Models. CoRR abs/2407.08554 (2024) - [i8]Zijie Pan, Stepan Gordeev, Jiahui Zhao, Ziyi Meng, Caiwen Ding, Sandro Steinbach, Dongjin Song:
International Trade Flow Prediction with Bilateral Trade Provisions. CoRR abs/2407.13698 (2024) - 2023
- [j3]Yihan Cang
, Ming Chen, Jingwen Zhao
, Tantao Gong
, Jiahui Zhao
, Zhaohui Yang
:
Fair Computation Efficiency for OFDMA-Based Multiaccess Edge Computing Systems. IEEE Commun. Lett. 27(3): 916-920 (2023) - [j2]Nan Jiang, Zihao Hu, Jie Wen, Jiahui Zhao, Weihao Gu, Ziang Tu, Ximeng Liu, Yuanyuan Li, Jianfei Gong, Fengtao Lin:
NAH: neighbor-aware attention-based heterogeneous relation network model in E-commerce recommendation. World Wide Web (WWW) 26(5): 2373-2394 (2023) - [c11]Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding:
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC 2023: 1-6 - [c10]Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding:
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. ICCAD 2023: 1-9 - [c9]Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding:
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. ICCV 2023: 5155-5165 - [c8]Yuanzhi Sun, Ming Chen, Jiahui Zhao, Haowen Sun, Yijin Pan, Yihan Cang:
Distributed Multi-Cell Power Control with NAF Reinforcement Learning. IWCMC 2023: 1550-1555 - [c7]Yanhan Zeng, Chenglin Li, Xiaofei Yu, Yanshen Luo, Jiahui Zhao, Jintao Li:
Optimization of CMOS Voltage Reference with Blended Distribution Estimation Based on Parameter Evolutionary Algorithms. MWSCAS 2023: 1010-1014 - [c6]Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding:
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. NeurIPS 2023 - [i7]Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding:
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR abs/2302.02292 (2023) - [i6]Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding:
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR abs/2306.15513 (2023) - [i5]Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding:
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. CoRR abs/2308.10134 (2023) - [i4]Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding:
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. CoRR abs/2308.11825 (2023) - [i3]Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding:
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. CoRR abs/2309.14331 (2023) - [i2]Kiran Thorat, Jiahui Zhao, Yaotian Liu, Hongwu Peng, Xi Xie, Bin Lei, Jeff Zhang, Caiwen Ding:
Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis. CoRR abs/2312.01022 (2023) - [i1]Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training. CoRR abs/2312.08656 (2023) - 2022
- [c5]Zhaohui Tao, Ming Chen, Zhaohui Yang, Jianfeng Shi, Jiahui Zhao, Weifeng Liu:
Optimal Control for Digital-Twin THz/VLC Communication Networks. ICC Workshops 2022: 910-915 - [c4]Jiahui Zhao, Ming Chen, Zhaohui Yang, Yihan Cang, Zhaohui Tao, Zhifan Lyu, Chongwen Huang, Zhaoyang Zhang:
Secure Resource Allocation for UAV Assisted Joint Sensing and Comunication Networks. WCNC 2022: 1856-1861 - 2021
- [c3]Yi Gao, Zhaokun Liu, Xinmeng Wu, Guangyuan Wu, Jiahui Zhao, Xiaofan Zhao:
Skeleton-based Human Action Recognition by the Integration of Euclidean distance. ICIT 2021: 47-51
2010 – 2019
- 2019
- [j1]Mingtao Xu
, Kun An
, Zhirui Ye
, Yuan Wang, Jiaxiao Feng, Jiahui Zhao
:
A Bi-Level Model to Resolve Conflicting Transit Priority Requests at Urban Arterials. IEEE Trans. Intell. Transp. Syst. 20(4): 1353-1364 (2019) - 2016
- [c2]Miaomiao Ding, Jiahui Zhao, Fangyu Hu:
Abnormal Behavior Analysis Based on Examination Surveillance Video. ISCID (1) 2016: 131-134 - [c1]Lulu Liu, Fangyu Hu, Jiahui Zhao:
Action Recognition Based on Features Fusion and 3D Convolutional Neural Networks. ISCID (1) 2016: 178-181
Coauthor Index
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last updated on 2024-08-27 22:01 CEST by the dblp team
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