publications

2023

1. Transmitting, Fast and Slow: Scheduling Satellite Traffic through Space and Time

   B. Tao, M. Masood, I. Gupta, and 1 more author

   In Mobicom’23, 2023

2022

1. RF-Protect: Privacy against Device-Free Human Tracking

   Jayanth Shenoy, Zikun Liu,  Tao, Bill, and 2 more authors

   In Proceedings of the ACM SIGCOMM 2022 Conference, 2022

   Abs

   The advent of radio sensing that works through walls & obstacles challenges the notion of indoor privacy. An eavesdropper can deploy such sensing to snoop on their neighbors and a smart sensor embedded with such sensing capabilities can perform large scale behavioral and health data mining. We present RF-Protect, a new framework that enables privacy by injecting fake humans in the sensed data. RF-Protect consists of a novel hardware reflector design that modifies radio waves to create reflections at arbitrary locations in the environment and a new generative mechanism to create realistic human trajectories. RF-Protect’s design doesn’t require any high bandwidth hardware or physical motion. We implement RF-Protect using commodity hardware and validate its ability to generate fake human trajectories.

2020

1. Improving Quality of Experience by Adaptive Video Streaming with Super-Resolution

   Y. Zhang, Y. Zhang, Y. Wu, and 5 more authors

   In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, 2020

2019

1. Learning at the Edge: Smart Content Delivery in Real World Mobile Social Networks

   K. Bian, C. Gao,  Y. Tao, and 4 more authors

   IEEE Network, 2019
2. Trajectory-Based User Encounter Prediction Over Wireless Sensor Networks

   Meng Tong,  Tao, Yu, Yuanxing Zhang, and 2 more authors

   Wireless Personal Communications, 2019
3. Attentive Context-Aware Music Recommendation

   Y. Tao, Y. Zhang, and K. Bian

   In 2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC), 2019
4. Machine Learning Assisted Content Delivery at Edge of Mobile Social Networks

   Y. Tao, K. Bian, C. Gao, and 3 more authors

   In 2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC), 2019
5. Addressing the Conflict of Negative Feedback and Sampling for Online Ad Recommendation in Mobile Social Networks

   Y. Tao, Y. Zhang, J. Lin, and 1 more author

   In 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), 2019
6. Language Support for Navigating Architecture Design in Closed Form

   Weilong Cui, Georgios Tzimpragos,  Tao, Yu, and 6 more authors

   J. Emerg. Technol. Comput. Syst., Oct 2019

   Abs

   As computer architecture continues to expand beyond software-agnostic microarchitecture to specialized and heterogeneous logic or even radically different emerging computing models (e.g., quantum cores, DNA storage units), detailed cycle-level simulation is no longer presupposed. Exploring designs under such complex interacting relationships (e.g., performance, energy, thermal, frequency) calls for a more integrative but higher-level approach. We propose Charm, a modeling language supporting closed-form high-level architecture modeling. Charm enables mathematical representations of mutually dependent architectural relationships to be specified, composed, checked, evaluated, reused, and shared. The language is interpreted through a combination of automatic symbolic evaluation, scalable graph transformation, and efficient compiler techniques, generating executable DAGs and optimized analysis procedures. Charm also exploits the advancements in satisfiability modulo theory solvers to automatically search the design space to help architects explore multiple design knobs simultaneously (e.g., different CNN tiling configurations). Through two case studies, we demonstrate that Charm allows one to define high-level architecture models in a clean and concise format, maximize reusability and shareability, capture unreasonable assumptions, and significantly ease design space exploration at a high level.