Publications

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A
Khanna, P., S. Feiz, J. Xu, IV. Ramakirshnan, S. Jain, X. Bi, and A. Balasubramanian, "AccessWear: Making Smartphone Applications Accessible to Blind Users ", MobiCom , Madrid, ACM, October, 2023.  (1.1 MB)
Cao, Y., J. Nejati, P. Maguluri, A. Balasubramanian, and A. Gandhi, "Analyzing the Power Consumption of the Mobile Page Load", Sigmetrics, 2016.  (412.72 KB) (366 bytes)
Vargas, S., "Are Mobiles Ready for BBR?", IMC, 2022.  (723.8 KB) (1.05 MB)
B
Vargas, S., and R. Drucker, "BBR Bufferbloat in DASH Video", WWW, 04/2021.  (1013.38 KB) (1.23 MB)
Kelton, C., M. Varvello, A. Aucinas, and B. Livshits, "Browselite: A Private Data-Saving Solution for the Web", WWW, 2021.  (1.34 MB) (2.65 MB)
Kelton, C., A. Balasubramanian, R. Raghavendra, and M. Srivatsa, "Browser-Based Deep Behavioral Detection of WebCryptomining with CoinSpy", MADWEB, 2020.  (13.26 MB)
C
Vargas, S., "Characterizing JSON Traffic Patterns on a CDN", Internet Measurement Conference, 2019.  (412.45 KB) (1.12 MB) (618 bytes)
D
Xu, J., S. Masum Billah, R. Shilkrot, and A. Balasubramanian, "DarkReader: Bridging the Gap Between Perception and Reality of Power Consumption in Smartphones for Blind Users [Best Paper Nominee]", ASSETS, Pittsburgh, PA, ACM, 10/2019.  (1005.27 KB) (28.17 MB) (808 bytes)
Cao, Y., J. Nejati, M. Wajahat, A. Balasubramanian, and A. Gandhi, "Deconstructing the Energy Consumption of the Mobile Page Load", Sigmetrics, 06/2017.  (3.09 MB) (4.42 MB) (393 bytes)
Cao, Q., H. Trivedi, A. Balasubramanian, and N. Balasubramanian, "Deformer: Decomposing Pre-trained Transformers for Faster Question Answering", ACL, 2020.  (1.14 MB)
Dasari, M., C. Kelton, J. Nejati, A. Balasubramanian, and S. Das, Demystifying Hardware Bottlenecks in Mobile Web Quality of Experience: Sigcomm (Poster), 09/2017.  (427.94 KB)
Cao, Q., N. Weber, N. Balasubramanian, and A. Balasubramanian, "DeQA: On-Device Question Answering", The 17th Annual International Conference on Mobile Systems, Applications, and Services, 2019.  (1.9 MB) (17.21 MB) (675 bytes)
E
Cao, Y., "ECON: Modeling the network to improve application performance", Internet Measurement Conference, Amsterdam, Netherlands, 2019.  (1.29 MB) (7.13 MB) (286 bytes)
Shen, H., A. Balasubramanian, A. LaMarca, and D. Wetherall, "Enhancing Mobile Apps to Use Sensor Hubs Without Programmer Effort (Best Paper Award)", ACM Ubicomp, 09/2015.  (4.44 MB) (9.39 MB)
H
Khanna, P., IV. Ramakirshnan, S. Jain, X. Bi, and A. Balasubramanian, "Hand Gesture Recognition for Blind Users by Tracking 3D Gesture Trajectory", CHI: ACM, 2024.  (2.24 MB)
Sen, S., and A. Balasubramanian, "A Highly Resilient and Scalable Broker architecture for IoT applications", COMSNETS, 01/2018.  (920.99 KB)
I
Dasari, M., S. Vargas, A. Bhattacharya, A. Balasubramanian, and S. R. Das, "Impact of Device Performance on Mobile Internet QoE", Internet Measurement Conference, 2018.  (610.47 KB) (14.48 MB) (687 bytes)
Kelton, C., J. Ryoo, A. Balasubramanian, and S. R. Das, "Improving User Perceived Page Load Time Using Gaze", USENIX Network Systems Design and Implementation (NSDI), 04, 2017.  (2.1 MB) (2.69 MB)
Nejati, J., and A. Balasubramanian, "An In-Depth Study of Mobile Browser Performance", WWW, 04/2016.  (802.38 KB)
Wu, Z., and C. Hao Ryan Yang, "Is IPFS Ready for Decentralized Video Streaming?", WWW '23, 04/2023.
Cao, Q., Y. Lal, H. Trivedi, A. Balasubramanian, and N. Balasubramanian, "IrEne: Interpretable Energy Prediction for Transformers", ACL, 2021.  (677.88 KB)
Lal, Y., R. Singh, H. Trivedi, Q. Cao, A. Balasubramanian, and N. Balasubramanian, "IrEne-viz: Visualizing Energy Consumption of Transformer Models", EMNLP Demo, 2021.  (1.49 MB)
J
Khanna, P., T. Srivastava, S. Pan, S. Jain, and P. Nguyen, "Jawsense: recognizing unvoiced sound using a low-cost ear-worn system", HotMobile, 2021.  (580.84 KB) (758.36 KB)
L
Srivastava, T., P. Khanna, S. Pan, P. Nguyen, and S. Jain, "Leveraging Earables for Unvoiced Command Recognition", MobiSys Demo, New York, NY, USA, Association for Computing Machinery, 2022.  (557.41 KB) (1.15 MB)
M
Cao, Q., N. Balasubramanian, and A. Balasubramanian, "MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU", 1st International Workshop on Embedded and Mobile Deep Learning (EMDL), 05/2017.  (254.5 KB) (1.36 MB) (320 bytes)

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