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Xiaozhi Zhu
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2020 – today
- 2024
- [j3]Tianhao Huang, Xiaozhi Zhu, Mo Niu:
An End-to-End Benchmarking Tool for Analyzing the Hardware-Software Implications of Multi-modal DNNs. SIGMETRICS Perform. Evaluation Rev. 51(3): 25-27 (2024) - [j2]Kairong Hu, Xiaozhi Zhu, Hai Liu, Yingying Qu, Fu Lee Wang, Tianyong Hao:
Convolutional Neural Network-Based Entity-Specific Common Feature Aggregation for Knowledge Graph Embedding Learning. IEEE Trans. Consumer Electron. 70(1): 3593-3602 (2024) - [c5]Tianhao Huang, Lingyu Sun, Xiaofeng Hou, Xiaozhi Zhu, Xinfeng Xia, Yutong Wang, Mingxi Chen, Chao Li:
Sub-model Parallelism: A Scale-out Deployment Method for Large Multi-modal DNNs. CCGrid 2024: 651-657 - 2023
- [c4]Cheng Xu, Xiaofeng Hou, Jiacheng Liu, Chao Li, Tianhao Huang, Xiaozhi Zhu, Mo Niu, Lingyu Sun, Peng Tang, Tongqiao Xu, Kwang-Ting Cheng, Minyi Guo:
MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications. IISWC 2023: 154-166 - 2022
- [c3]Xiaozhi Zhu, Tianyong Hao, Sijie Cheng, Fu Lee Wang, Hai Liu:
A Self-supervised Joint Training Framework for Document Reranking. NAACL-HLT (Findings) 2022: 1056-1065 - [c2]Zhenjie Huang, Likeng Liang, Xiaozhi Zhu, Heng Weng, Jun Yan, Tianyong Hao:
An Improved Partition Filter Network for Entity-Relation Joint Extraction. NCAA (1) 2022: 129-141 - [i2]Pan Du, Xiaozhi Zhu, Jian-Xun Wang:
Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics. CoRR abs/2204.08939 (2022) - 2021
- [j1]Xiaozhi Zhu, Yong-Tao Zhang:
Fast Sparse Grid Simulations of Fifth Order WENO Scheme for High Dimensional Hyperbolic PDEs. J. Sci. Comput. 87(2): 44 (2021) - [c1]Xiaozhi Zhu, Leung-Pun Wong, Lap-Kei Lee, Hai Liu, Tianyong Hao:
FABERT: A Feature Aggregation BERT-Based Model for Document Reranking. NLPCC (2) 2021: 139-150 - 2020
- [i1]Xiaozhi Zhu, Yong-Tao Zhang:
Fast sparse grid simulations of fifth order WENO scheme for high dimensional hyperbolic PDEs. CoRR abs/2007.10196 (2020)
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