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ORCIDJiachen Mao
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Books and Theses
- 2020
[b1]Jiachen Mao:
Efficient Neural Network Based Systems on Mobile and Cloud Platforms. Duke University, Durham, NC, USA, 2020
Journal Articles
- 2022
- [j4]Jiachen Mao
, Qing Yang, Ang Li, Kent W. Nixon, Hai Li, Yiran Chen:
Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21(3): 33:1-33:21 (2022) - 2021
- [j3]Qing Yang, Jiachen Mao, Zuoguan Wang, Hai (Helen) Li:
Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement. ACM J. Emerg. Technol. Comput. Syst. 17(4): 51:1-51:16 (2021) - [j2]Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen:
TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. 5(3): 26:1-26:22 (2021) - 2016
- [j1]Ying Ji, Peng Xu, Yunyang Ye, Xing Lu, Jiachen Mao:
Energy load superposition and spatial optimization in urban design: A case study. Comput. Environ. Urban Syst. 57: 26-35 (2016)
Conference and Workshop Papers
- 2019
- [c11]Chuhan Min, Jiachen Mao, Hai Li, Yiran Chen:
NeuralHMC: an efficient HMC-based accelerator for deep neural networks. ASP-DAC 2019: 394-399 - [c10]Jiachen Mao, Qing Yang, Ang Li, Hai Helen Li, Yiran Chen:
MobiEye: An Efficient Cloud-based Video Detection System for Real-time Mobile Applications. DAC 2019: 102 - [c9]Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. HPCA 2019: 56-68 - [c8]Qing Yang, Jiachen Mao, Zuoguan Wang, Hai Li:
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement. ICTAI 2019: 1401-1405 - 2018
- [c7]Bing Li, Wei Wen, Jiachen Mao, Sicheng Li, Yiran Chen, Hai Helen Li:
Running sparse and low-precision neural network: When algorithm meets hardware. ASP-DAC 2018: 534-539 - [c6]Kent W. Nixon, Jiachen Mao, Juncheng Shen, Huanrui Yang, Hai (Helen) Li, Yiran Chen:
SPN dash: fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting. ICCAD 2018: 132 - 2017
- [c5]Jiachen Mao, Xiang Chen, Kent W. Nixon, Christopher D. Krieger, Yiran Chen:
MoDNN: Local distributed mobile computing system for Deep Neural Network. DATE 2017: 1396-1401 - [c4]Jiachen Mao, Zhuwei Qin, Zirui Xu, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen:
AdaLearner: An adaptive distributed mobile learning system for neural networks. ICCAD 2017: 291-296 - [c3]Jiachen Mao, Zhongda Yang, Wei Wen, Chunpeng Wu, Linghao Song, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen:
MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs. ICCAD 2017: 751-756 - 2016
- [c2]Xiang Chen, Jiachen Mao, Jiafei Gao, Kent W. Nixon, Yiran Chen:
MORPh: mobile OLED-friendly recording and playback system for low power video streaming. DAC 2016: 153:1-153:6 - [c1]Xiang Chen, Jiachen Mao, Kent W. Nixon, Yiran Chen:
MORPh: mobile OLED power friendly camera system. RSP 2016: 1-5
Informal and Other Publications
- 2024
- [i4]Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian:
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. CoRR abs/2401.04408 (2024) - 2020
- [i3]Jiachen Mao, Mehdi Jafari, Audun Botterud:
Planning Low-carbon Distributed Power Systems: Evaluating the Role of Energy Storage. CoRR abs/2009.09325 (2020) - 2019
- [i2]Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. CoRR abs/1901.02067 (2019) - [i1]Qing Yang, Jiachen Mao, Zuoguan Wang, Hai Li:
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement. CoRR abs/1909.06964 (2019)
Coauthor Index
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