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2020 – today
- 2024
[j3]Xiaofeng Hou
, Xuehan Tang, Jiacheng Liu, Chao Li, Luhong Liang, Kwang-Ting Cheng:
WASP: Efficient Power Management Enabling Workload-Aware, Self-Powered AIoT Devices. IEEE Trans. Parallel Distributed Syst. 35(8): 1400-1414 (2024)- 2023
- [c3]Xiaofeng Hou, Jiacheng Liu, Xuehan Tang, Chao Li, Kwang-Ting Cheng, Li Li, Minyi Guo:
MMExit: Enabling Fast and Efficient Multi-modal DNN Inference with Adaptive Network Exits. Euro-Par 2023: 426-440 - [c2]Xiaofeng Hou, Jiacheng Liu, Xuehan Tang, Chao Li, Jia Chen, Luhong Liang, Kwang-Ting Cheng, Minyi Guo:
Architecting Efficient Multi-modal AIoT Systems. ISCA 2023: 31:1-31:13 - 2022
- [j2]Xiaofeng Hou, Cheng Xu, Jiacheng Liu, Xuehan Tang, Lingyu Sun, Chao Li, Kwang-Ting Cheng:
Characterizing and Understanding End-to-End Multi-Modal Neural Networks on GPUs. IEEE Comput. Archit. Lett. 21(2): 125-128 (2022) - [i1]Xiaofeng Hou, Cheng Xu, Jiacheng Liu, Xuehan Tang, Linyu Sun, Chao Li, Kwang-Ting Cheng:
Analyzing the Hardware-Software Implications of Multi-modal DNN Workloads using MMBench. CoRR abs/2212.01241 (2022) - 2021
- [c1]Yizhe Fan, Xuehan Tang, Zhong Ma:
A Weight-Based Channel Pruning Algorithm for Depth-Wise Separable Convolution Unit. ACAI 2021: 22:1-22:6
2010 – 2019
- 2019
- [j1]Yuanhong Mao, Zhanzhuang He, Zhong Ma, Xuehan Tang, Zhuping Wang:
Efficient Convolution Neural Networks for Object Tracking Using Separable Convolution and Filter Pruning. IEEE Access 7: 106466-106474 (2019)
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