HW/SW partitioning for region-based dynamic partial reconfigurable FPGAs. - Yuchun Ma; Jinglan Liu; Chao Zhang; Wayne Luk (ICCD, 2014)

Effective CAD Research in the Sea of Papers. - Jinglan Liu; Da-Cheng Juan; Yiyu Shi 001 (ICCAD, 2015)

1-Bit Compressed Sensing Based Framework for Built-in Resonance Frequency Prediction Using On-Chip Noise Sensors. - Tao Wang; Jinglan Liu; Cheng Zhuo; Yiyu Shi 001 (ICCAD, 2015)

Privacy protection via appliance scheduling in smart homes. - Jie Wu 023; Jinglan Liu; Xiaobo Sharon Hu; Yiyu Shi 001 (ICCAD, 2016)

Selective body biasing for post-silicon tuning of sub-threshold designs: A semi-infinite programming approach with Incremental Hypercubic Sampling. - Hui Geng; Jianming Liu 001; Jinglan Liu; Pei-Wen Luo; Liang-Chia Cheng; Steven L. Grant; Yiyu Shi 001 (Integr., 2016)

Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks. - Xiaowei Xu 004; Qing Lu 001; Tianchen Wang; Jinglan Liu; Cheng Zhuo; Xiaobo Sharon Hu; Yiyu Shi 001 (ICCAD, 2017)

Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization. - Xiaowei Xu 004; Qing Lu 001; Tianchen Wang; Jinglan Liu; Yu Hu 002; Yiyu Shi 001 (NCS, 2017)

Generative adversarial network based scalable on-chip noise sensor placement. - Jinglan Liu; Yukun Ding; Jianlei Yang 001; Ulf Schlichtmann; Yiyu Shi 001 (SoCC, 2017)

Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability. - Yukun Ding; Jinglan Liu; Jinjun Xiong; Meng Jiang 001; Yiyu Shi 001 (CIKM, 2018)

On the Universal Approximability of Quantized ReLU Neural Networks. - Yukun Ding; Jinglan Liu; Yiyu Shi 001 (CoRR, 2018)

PBGAN: Partial Binarization of Deconvolution Based Generators. - Jinglan Liu; Jiaxin Zhang 014; Yukun Ding; Xiaowei Xu 004; Meng Jiang 001; Yiyu Shi 001 (CoRR, 2018)

Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit. - Xiaowei Xu 004; Qing Lu 001; Tianchen Wang; Yu Hu 002; Chen Zhuo; Jinglan Liu; Yiyu Shi 001 (ACM J. Emerg. Technol. Comput. Syst., 2018)

Design-Phase Buffer Allocation for Post-Silicon Clock Binning by Iterative Learning. - Grace Li Zhang; Bing Li 005; Jinglan Liu; Yiyu Shi 001; Ulf Schlichtmann (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks. - Yukun Ding; Jinglan Liu; Jinjun Xiong; Yiyu Shi 001 (ICLR (Poster), 2019)

Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms. - Yukun Ding; Jinglan Liu; Jinjun Xiong; Yiyu Shi 001 (CoRR, 2019)

Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off. - Yukun Ding; Jinglan Liu; Jinjun Xiong; Yiyu Shi 001 (CVPR Workshops, 2020)

Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising. - Jinglan Liu; Yukun Ding; Jinjun Xiong; Qianjun Jia; Meiping Huang; Jian Zhuang; Bike Xie; Chun-Chen Liu; Yiyu Shi 001 (ISBI, 2020)

Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation. - Yukun Ding; Jinglan Liu; Xiaowei Xu 004; Meiping Huang; Jian Zhuang; Jinjun Xiong; Yiyu Shi 001 (MIDL, 2020)

Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators. - Jinglan Liu; Jiaxin Zhang 014; Yukun Ding; Xiaowei Xu 004; Meng Jiang 001; Yiyu Shi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

The New Exploration of German Teaching based on Multimedia Technology. - Jinglan Liu (ICISCAE (ACM), 2021)

Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images. - Xiaowei Xu 004; Jiawei Zhang; Jinglan Liu; Yukun Ding; Tianchen Wang; Hailong Qiu; Haiyun Yuan; Jian Zhuang; Wen Xie; Yuhao Dong; Qianjun Jia; Meiping Huang; et al. (ACM J. Emerg. Technol. Comput. Syst., 2021)

ISO: An improved snake optimizer with multi-strategy enhancement for engineering optimization. - Yunwei Zhu; Haisong Huang; Jianan Wei; Junhui Yi; Jinglan Liu; Manman Li (Expert Syst. Appl., 2025)