Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Mo Li

Mo Li

PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference

Nov 12, 2022
Linshan Jiang, Qun Song, Rui Tan, Mo Li

Figure 1 for PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference

Figure 2 for PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference

Figure 3 for PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference

Figure 4 for PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference

* 13 pages, best paper candidate, Sensys 2022

Access Paper or Ask Questions

Enhancing Deep Learning Performance of Massive MIMO CSI Feedback

Aug 24, 2022
Sijie Ji, Mo Li

Figure 1 for Enhancing Deep Learning Performance of Massive MIMO CSI Feedback

Figure 2 for Enhancing Deep Learning Performance of Massive MIMO CSI Feedback

Figure 3 for Enhancing Deep Learning Performance of Massive MIMO CSI Feedback

Figure 4 for Enhancing Deep Learning Performance of Massive MIMO CSI Feedback

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice

Access Paper or Ask Questions

CQNet: Complex Input Quantized Neural Network designed for Massive MIMO CSI Feedback

Feb 15, 2021
Sijie Ji, Weiping Sun, Mo Li

Figure 1 for CQNet: Complex Input Quantized Neural Network designed for Massive MIMO CSI Feedback

Figure 2 for CQNet: Complex Input Quantized Neural Network designed for Massive MIMO CSI Feedback

Figure 3 for CQNet: Complex Input Quantized Neural Network designed for Massive MIMO CSI Feedback

Figure 4 for CQNet: Complex Input Quantized Neural Network designed for Massive MIMO CSI Feedback

* submit to IEEE Transactions on Wireless Communications

Access Paper or Ask Questions

On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

Jun 11, 2020
A. Gilad Kusne, Heshan Yu, Changming Wu, Huairuo Zhang, Jason Hattrick-Simpers, Brian DeCost, Suchismita Sarker, Corey Oses, Cormac Toher, Stefano Curtarolo, Albert V. Davydov, Ritesh Agarwal, Leonid A. Bendersky, Mo Li, Apurva Mehta, Ichiro Takeuchi

Figure 1 for On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

Figure 2 for On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

Figure 3 for On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

Figure 4 for On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

* 30 pages and 13 figures in PDF including Methods section

Access Paper or Ask Questions