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Journal Articles
- 2021
[j3]Peiye Liu
, Igor Syrytsin, Jesper Ødum Nielsen, Gert Frølund Pedersen, Shuai Zhang:
Characterization and Modeling of the User Blockage for 5G Handset Antennas. IEEE Trans. Instrum. Meas. 70: 1-11 (2021)- 2020
- [j2]Weiwei Shan, Wentao Dai, Chuan Zhang, Hao Cai, Peiye Liu, Jun Yang, Longxing Shi:
TG-SPP: A One-Transmission-Gate Short-Path Padding for Wide-Voltage-Range Resilient Circuits in 28-nm CMOS. IEEE J. Solid State Circuits 55(5): 1422-1436 (2020) - 2019
- [j1]Tianchan Guan, Peiye Liu, Xiaoyang Zeng, Martha A. Kim, Mingoo Seok:
Recursive Binary Neural Network Training Model for Efficient Usage of On-Chip Memory. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(7): 2593-2605 (2019)
Conference and Workshop Papers
- 2024
- [c9]Ruoxi Zhu, Shusong Xu, Peiye Liu, Sicheng Li, Yanheng Lu, Dimin Niu, Zihao Liu, Zihao Meng, Zhiyong Li, Xinhua Chen, Yibo Fan:
Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping. CVPR 2024: 26130-26139 - 2023
- [c8]Bo Wu, Peiye Liu, Wen-Huang Cheng, Bei Liu, Zhaoyang Zeng, Jia Wang, Qiushi Huang, Jiebo Luo:
SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge. ACM Multimedia 2023: 9651-9655 - 2020
- [c7]Peiye Liu, Bo Wu, Huadong Ma, Mingoo Seok:
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning. CVPR 2020: 2105-2113 - [c6]Peiye Liu, Wu Liu, Huadong Ma, Zhewei Jiang, Mingoo Seok:
KTAN: Knowledge Transfer Adversarial Network. IJCNN 2020: 1-7 - 2019
- [c5]Pavan Kumar Chundi, Peiye Liu, Sangsu Park, Seho Lee, Mingoo Seok:
FPGA-based Acceleration of Binary Neural Network Training with Minimized Off-Chip Memory Access. ISLPED 2019: 1-6 - [c4]Bo Wu, Wen-Huang Cheng, Peiye Liu, Bei Liu, Zhaoyang Zeng, Jiebo Luo:
SMP Challenge: An Overview of Social Media Prediction Challenge 2019. ACM Multimedia 2019: 2667-2671 - 2018
- [c3]Wentao Dai, Peiye Liu, Weiwei Shan:
Short-path Padding Method for Timing Error Resilient Circuits based on Transmission Gates Insertion. ACM Great Lakes Symposium on VLSI 2018: 105-110 - 2017
- [c2]Lingheng Zhu, Wu Liu, Lingyang Chu, Peiye Liu, Xiaoyan Gu:
Query from Sketch: A Common Subgraph Correspondence Mining Framework. BigMM 2017: 413-418 - [c1]Peiye Liu, Wu Liu, Huadong Ma:
Weighted sequence loss based spatial-temporal deep learning framework for human body orientation estimation. ICME 2017: 97-102
Informal and Other Publications
- 2024
- [i5]Bo Wu, Peiye Liu, Wen-Huang Cheng, Bei Liu, Zhaoyang Zeng, Jia Wang, Qiushi Huang, Jiebo Luo:
SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge. CoRR abs/2405.10497 (2024) - [i4]Shusong Xu, Peiye Liu:
Patch-enhanced Mask Encoder Prompt Image Generation. CoRR abs/2405.19085 (2024) - 2019
- [i3]Peiye Liu, Bo Wu, Huadong Ma, Pavan Kumar Chundi, Mingoo Seok:
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning. CoRR abs/1907.09569 (2019) - [i2]Bo Wu, Wen-Huang Cheng, Peiye Liu, Zhaoyang Zeng, Jiebo Luo:
SMP Challenge: An Overview of Social Media Prediction Challenge 2019. CoRR abs/1910.01795 (2019) - 2018
- [i1]Peiye Liu, Wu Liu, Huadong Ma, Tao Mei, Mingoo Seok:
KTAN: Knowledge Transfer Adversarial Network. CoRR abs/1810.08126 (2018)
Coauthor Index
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