Query from Sketch: A Common Subgraph Correspondence Mining Framework. - Lingheng Zhu; Wu Liu; Lingyang Chu; Peiye Liu; Xiaoyan Gu 001 (BigMM, 2017)

Weighted sequence loss based spatial-temporal deep learning framework for human body orientation estimation. - Peiye Liu; Wu Liu; Huadong Ma (ICME, 2017)

Short-path Padding Method for Timing Error Resilient Circuits based on Transmission Gates Insertion. - Wentao Dai; Peiye Liu; Weiwei Shan (ACM Great Lakes Symposium on VLSI, 2018)

KTAN: Knowledge Transfer Adversarial Network. - Peiye Liu; Wu Liu; Huadong Ma; Tao Mei 001; Mingoo Seok (CoRR, 2018)

FPGA-based Acceleration of Binary Neural Network Training with Minimized Off-Chip Memory Access. - Pavan Kumar Chundi; Peiye Liu; Sangsu Park; Seho Lee; Mingoo Seok (ISLPED, 2019)

SMP Challenge: An Overview of Social Media Prediction Challenge 2019. - Bo Wu 018; Wen-Huang Cheng; Peiye Liu; Bei Liu 001; Zhaoyang Zeng; Jiebo Luo 001 (ACM Multimedia, 2019)

MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning. - Peiye Liu; Bo Wu 018; Huadong Ma; Pavan Kumar Chundi; Mingoo Seok (CoRR, 2019)

SMP Challenge: An Overview of Social Media Prediction Challenge 2019. - Bo Wu 018; Wen-Huang Cheng; Peiye Liu; Zhaoyang Zeng; Jiebo Luo 001 (CoRR, 2019)

Recursive Binary Neural Network Training Model for Efficient Usage of On-Chip Memory. - Tianchan Guan; Peiye Liu; Xiaoyang Zeng; Martha A. Kim; Mingoo Seok (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning. - Peiye Liu; Bo Wu 018; Huadong Ma; Mingoo Seok (CVPR, 2020)

KTAN: Knowledge Transfer Adversarial Network. - Peiye Liu; Wu Liu; Huadong Ma; Zhewei Jiang; Mingoo Seok (IJCNN, 2020)

TG-SPP: A One-Transmission-Gate Short-Path Padding for Wide-Voltage-Range Resilient Circuits in 28-nm CMOS. - Weiwei Shan; Wentao Dai; Chuan Zhang 001; Hao Cai 001; Peiye Liu; Jun Yang 006; Longxing Shi (IEEE J. Solid State Circuits, 2020)

Characterization and Modeling of the User Blockage for 5G Handset Antennas. - Peiye Liu; Igor Syrytsin; Jesper Ødum Nielsen; Gert Frølund Pedersen; Shuai Zhang 003 (IEEE Trans. Instrum. Meas., 2021)

SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge. - Bo Wu 018; Peiye Liu; Wen-Huang Cheng; Bei Liu 001; Zhaoyang Zeng; Jia Wang; Qiushi Huang; Jiebo Luo 001 (ACM Multimedia, 2023)

Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping. - Ruoxi Zhu; Shusong Xu; Peiye Liu; Sicheng Li 001; Yanheng Lu; Dimin Niu; Zihao Liu; Zihao Meng; Zhiyong Li 016; Xinhua Chen; Yibo Fan (CVPR, 2024)

SMP Challenge Summary: Social Media Prediction Challenge. - Bo Wu 018; Peiye Liu; Qiushi Huang; Zhaoyang Zeng; Jia Wang; Bei Liu 001; Jiebo Luo 001; Wen-Huang Cheng (ACM Multimedia, 2024)

Patch-enhanced Mask Encoder Prompt Image Generation. - Shusong Xu; Peiye Liu (CoRR, 2024)

CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs. - Qichao Ma; Rui-Jie Zhu 003; Peiye Liu; Renye Yan; Fahong Zhang 004; Ling Liang; Meng Li; Zhaofei Yu; Zongwei Wang 001; Yimao Cai; Tiejun Huang 003 (CoRR, 2024)

Unicorn: Unified Neural Image Compression with One Number Reconstruction. - Qi Zheng 004; Haozhi Wang; Zihao Liu; Jiaming Liu; Peiye Liu; Zhijian Hao; Yanheng Lu; Dimin Niu; Jinjia Zhou; Ming-e Jing; Yibo Fan (CoRR, 2024)

Frequency-Biased Synergistic Design for Image Compression and Compensation. - Jiaming Liu; Qi Zheng 004; Zihao Liu; Yilian Zhong; Peiye Liu; Tao Liu 023; Shusong Xu; Yanheng Lu; Sicheng Li 001; Dimin Niu; Yibo Fan (CVPR, 2025)

Part-Level Relationship Learning for Fine-Grained Few-Shot Image Classification. - Chuanming Wang; Huiyuan Fu; Peiye Liu; Huadong Ma (IEEE Trans. Multim., 2025)