Best Paper Award Winners
Congratulations to the authors of the 2019 Best Paper Award winners and runners-up!
 

The IEEE Computer Society Publications Board has awarded the following 2019 Best Paper Awards based on nominations submitted by each publication’s awards committee.

Winners

Diego Valsesia, Giulio Coluccia, Tiziano Bianchi, and Enrico Magli, “ToothPic: Camera-Based Image Retrieval on Large Scales,” IEEE MultiMedia, vol. 26, no. 2, 2019, pp. 33-43.

Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, and Arvind Krishnamurthy, “A Hardware–Software Blueprint for Flexible Deep Learning Specialization,” IEEE Micro, vol. 39, no. 5, 2019, pp. 8-16.

Darja Smite, Nils Brede Moe, Georgiana Levinta, and Marcin Floryan, “Spotify Guilds: How to Succeed With Knowledge Sharing in Large-Scale Agile Organizations,” IEEE Software, vol. 36, no. 2, 2019, pp. 51-57.

Florian Daniel, Cinzia Cappiello, and Boualem Benatallah, “Bots Acting Like Humans: Understanding and Preventing Harm,” IEEE Internet Computing, vol. 23, no. 2, 2019, pp. 40-49.

Marie Hicks, “Hacking the Cis-tem,” IEEE Annals of the History of Computing, vol. 41, no.1, pp. 20-33, 2019.

Christine Murad, Cosmin Munteanu, Benjamin R. Cowan, and Leigh Clark, “Revolution or Evolution? Speech Interaction and HCI Design Guidelines,” IEEE Pervasive Computing, vol. 18, no. 2, 2019, pp. 33-45.

Victor Dibia and Cagatay Demiralp, “Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks,” IEEE Computer Graphics and Applications, vol. 39, no. 05, pp. 33-46, 2019.

Jian Liu, Wenting Li, Ghassan O. Karame, and N. Asokan, “Scalable Byzantine Consensus via Hardware-Assisted Secret Sharing,” IEEE Transactions on Computers, vol. 68, no. 1, pp. 139-151, 2019.

Bradley Denby and Brandon Lucia, “Orbital Edge Computing: Machine Inference in Space,” IEEE Computer Architecture Letters, vol. 18, no. 1, 2019, pp. 59-62.

Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, and Qinbin Li, “Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training,” IEEE Transactions on Parallel and Distributed Systems, vol. 30, no. 12, 2019, pp. 2706-2717.

Jun Wu, Mianxiong Dong, Kaoru Ota, Jianhua Li, and Zhitao Guan, “FCSS: Fog-Computing-Based Content-Aware Filtering for Security Services in Information-Centric Social Networks,” IEEE Transactions on Emerging Topics in Computing, vol. 7, no. 4, 2019, pp. 553-564.

Runners-up

Yue Cao, Ning Wang, Celimuge Wu, Xu Zhang, and Chakkaphong Suthaputchakun, “Enhancing Video QoE Over High-Speed Train Using Segment-Based Prefetching and Caching,” IEEE MultiMedia, vol. 26, no. 4, 2019, pp. 55-66.

Ei Pa Pa Pe-Than, Alexander Nolte, Anna Filippova, Christian Bird, Steve Scallen, and James D. Herbsleb, “Designing Corporate Hackathons With a Purpose: The Future of Software Development,” IEEE Software, vol. 36, no. 1, 2019, pp. 15-22.

Meg Jones, “The Development of Consent to Computing,” IEEE Annals of the History of Computing, vol. 41, no. 4, 2019, pp. 34-47.

Alex Mariakakis, Edward Wang, Shwetak Patel, and Mayank Goel, “Challenges in Realizing Smartphone-Based Health Sensing,” IEEE Pervasive Computing, vol. 18, no. 2, 2019, pp. 76-84.

Lei Li, Hongbo Fu, and Chiew-Lan Tai, “Fast Sketch Segmentation and Labeling With Deep Learning,” IEEE Computer Graphics and Applications, vol. 39, no. 2, pp. 38-51, 2019.

Fabian Schuiki, Michael Schaffner, Frank K. Gurkaynak, and Luca Benini, “A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets,” IEEE Transactions on Computers, vol. 68, no. 4, pp. 484-497, 2019.

Xubin Tan, Jaume Bosch, Carlos Alvarez, Daniel Jimenez-Gonzalez, Eduard Ayguade, and Mateo Valero, “A Hardware Runtime for Task-Based Programming Models,” IEEE Transactions on Parallel and Distributed Systems, vol. 30, no. 9, 2019, pp. 1932-1946.