Differentially private spectrum auction with approximate revenue maximization. - Ruihao Zhu; Zhijing Li 001; Fan Wu 006; Kang G. Shin; Guihai Chen (MobiHoc, 2014)

Empirical Validation of Commodity Spectrum Monitoring. - Ana Nika; Zhijing Li 001; Yanzi Zhu; Yibo Zhu; Ben Y. Zhao; Xia Zhou; Haitao Zheng 001 (SenSys, 2016)

Identifying Value in Crowdsourced Wireless Signal Measurements. - Zhijing Li 001; Ana Nika; Xinyi Zhang 003; Yanzi Zhu; Yuanshun Yao; Ben Y. Zhao; Haitao Zheng 001 (WWW, 2017)

Predictive Analysis in Network Function Virtualization. - Zhijing Li 001; Zihui Ge; Ajay Mahimkar; Jia Wang 001; Ben Y. Zhao; Haitao Zheng 001; Joanne Emmons; Laura Ogden (Internet Measurement Conference, 2018)

Adversarial Localization against Wireless Cameras. - Zhijing Li 001; Zhujun Xiao; Yanzi Zhu; Irene Pattarachanyakul; Ben Y. Zhao; Haitao Zheng 001 (HotMobile, 2018)

Adversarial WiFi Sensing. - Yanzi Zhu; Zhujun Xiao; Yuxin Chen 001; Zhijing Li 001; Max Liu; Ben Y. Zhao; Haitao Zheng 001 (CoRR, 2018)

Scaling Deep Learning Models for Spectrum Anomaly Detection. - Zhijing Li 001; Zhujun Xiao; Bolun Wang; Ben Y. Zhao; Haitao Zheng 001 (MobiHoc, 2019)

Understanding the Effectiveness of Ultrasonic Microphone Jammer. - Yuxin Chen 001; Huiying Li 001; Steven Nagels; Zhijing Li 001; Pedro Lopes 001; Ben Y. Zhao; Haitao Zheng 001 (CoRR, 2019)

Towards Practical Data-Driven Network Design. - Zhijing Li 001 (2019)

Wearable Microphone Jamming. - Yuxin Chen 001; Huiying Li 001; Shan-Yuan Teng; Steven Nagels; Zhijing Li 001; Pedro Lopes 001; Ben Y. Zhao; Haitao Zheng 001 (CHI, 2020)

Demonstrating Wearable Microphone Jamming. - Yuxin Chen 001; Huiying Li 001; Shan-Yuan Teng; Steven Nagels; Zhijing Li 001; Pedro Lopes 001; Haitao Zheng 001; Ben Y. Zhao (CHI Extended Abstracts, 2020)

Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensors. - Yanzi Zhu; Zhujun Xiao; Yuxin Chen 001; Zhijing Li 001; Max Liu; Ben Y. Zhao; Heather Zheng (NDSS, 2020)

A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale. - Hao-Jun Michael Shi; Tsung-Hsien Lee; Shintaro Iwasaki; Jose Gallego-Posada; Zhijing Li 001; Kaushik Rangadurai; Dheevatsa Mudigere; Michael Rabbat (CoRR, 2023)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (CoRR, 2025)