Ran Xu

I am a Senior Deep Learning Software Enginner at NVIDIA. Before joining in NVIDIA, I received my Ph.D. degree from Purdue University in 2021, advised by professor Saurabh Bagchi. My research interests lied in the joint discipline of Computer Vision and Systems, and particularly the approximation for streaming video analytics on mobile devices. I received my B.E. degree from Tsinghua University in 2016.

Recently, I have three papers accepted at EuroSys 2022, CVPR 2022, and TODAES, and three US patents filed. Check our papers at [C7], [C8], and [J4] as follows. I serve as reviewers in WACV 2022, WACV 2023, ICCV 2023, CVPR 2023, and EuroSys 2023.

[C] stands for conference publications. [J] stands for journal publications. [P] stands for patents.

[C1] VideoChef: Efficient Approximation for Streaming Video Processing Pipelines
[Paper] [Presentation Slides] [Presentation Audio] [Poster] [bibtex]
Ran Xu, Jinkyu Koo, Rakesh Kumar, Peter Bai, Subrata Mitra, Sasa Misailovic, and Saurabh Bagchi
In the 2018 USENIX Annual Technical Conference (USENIX ATC 18).
(76 out of 378 submissions, acceptance ratio: 20.1%)

[C2] Pythia: Improving Datacenter Utilization via Precise Contention Prediction for Multiple Co-Located Workloads
[Paper] [Presentation Slides] [Presentation Video] [Code] [bibtex]
Ran Xu, Subrata Mitra, Jason Rahman, Peter Bai, Bowen Zhou, Greg Bronevetsky, and Saurabh Bagchi
In Proceedings of the 19th International Middleware Conference (Middleware 18).
(22 out of 95 submissions, acceptance ratio: 23.2%)

[C3] JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads
[Paper] [Presentation Video] [bibtex]
Karthick Shankar, Pengcheng Wang, Ran Xu, Ashraf Mahgoub, and Somali Chaterji
The IEEE International Conference on Cloud Computing (CLOUD 20)
(35 out of 205 submissions, acceptance ratio: 17.1%)

[C4] ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
[Paper] [Short Video] [Demo Video] [Presentation Video] [Project] [Code] [bibtex]
Ran Xu, Chen-lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, and Saurabh Bagchi
The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 20)
(44 out of 213 submissions, acceptance ratio: 20.7%)

[C5] Closing-the-Loop: a Data-Driven Framework for Effective Video Summarization
[Paper] [Presentation Video] [Project] [bibtex]
Ran Xu, Haoliang Wang, Stefano Petrangeli, Viswanathan Swaminathan, and Saurabh Bagchi
The 22nd IEEE International Symposium on Multimedia (ISM 20)
(16 out of 55 submissions, acceptance ratio: 22.2%)

[C6] Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention
[Paper] [Presentation Video] [bibtex]
Jayoung Lee, Pengcheng Wang, Ran Xu, Noah Weston, Venkat Dasari, Yin Li, Saurabh Bagchi, and Somali Chaterji
The 5th International Workshop on Embedded and Mobile Deep Learning (EMDL 21)
(7 out of 10 submissions, acceptance ratio: 70.0%)

[C7] LiteReconfig: Cost and Content Aware Reconfiguration of Video Object Detection Systems for Mobile GPUs
[Paper] [Project] [Code] [bibtex]
Ran Xu, Jayoung Lee, Pengcheng Wang, Saurabh Bagchi, Yin Li, and Somali Chaterji
The European Conference on Computer Systems 2022 (EuroSys 22)
(42 out of 161 submissions, acceptance ratio: 26.1%)

[C8] SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles
[Paper] [Supplement] [Poster] [Presentation Video] [Project] [bibtex]
Ran Xu, Fangzhou Mu, Jayoung Lee, Preeti Mukherjee, Somali Chaterji, Saurabh Bagchi, and Yin Li
Computer Vision and Pattern Recognition 2022 (CVPR 22)
(2,067 out of 8,161 submissions, acceptance ratio: 25.3%)

[J1] On the Opportunistic Topology of Taxi Networks in Urban Mobility Environment
[Paper] [bibtex]
Ran Xu, Yong Li, and Sheng Chen
In IEEE Transactions on Big Data (Volume: 6, Issue: 1, March 1 2020).

[J2] New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges
[Paper] [bibtex]
Saurabh Bagchi, Tarek F. Abdelzaher, Ramesh Govindan, Prashant Shenoy, Akanksha Atrey, Pradipta Ghosh, and Ran Xu
IEEE Internet of Things Journal (Volume: 7, Issue: 12, Dec. 2020).

[J3] ApproxNet: Content and Contention-Aware Video Object Classification System for Embedded Clients
[Paper] [Short Video] [Presentation Video] [Project] [Demo] [bibtex]
Ran Xu, Rakesh Kumar, Pengcheng Wang, Peter Bai, Ganga Meghanath, Somali Chaterji, Subrata Mitra, and Saurabh Bagchi
ACM Transactions on Sensor Networks (Volume: 18, Issue: 1, Feb. 2022).
Oral presentation on SenSys 2021 (8 out of 49 submissions, acceptance ratio: 16.3%).

[J4] Virtuoso: Energy- and Latency-Aware Streamlining of Streaming Videos on SOCs
Jayoung Lee, PengCheng Wang, Ran Xu, Sarthak Jain, Venkat Dasari, Noah Weston, Yin Li, Saurabh Bagchi, and Somali Chaterji
ACM Transactions on Design Automation of Electronic Systems (to appear).
[Paper]
[P1] Enhancing Media Content Effectiveness using Feedback between Evaluation and Content Editing
[Patent] [bibtex]
Haoliang Wang, Viswanathan Swaminathan, Stefano Petrangeli, and Ran Xu
US Patent 11,170,389, 11/9/2021.

[P2] System and Methods for Content and Contention-Aware Approximate Object Detection
Somali Chaterji, Saurabh Bagchi, and Ran Xu
US Patent 17/710,233 filed, 3/31/2022.

[P3] SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles
Somali Chaterji, Saurabh Bagchi, Ran Xu, and Yin Li
US Patent 63/351,674 filed, 6/13/2022.

[P4] LiteReconfig: Cost and Content Aware Reconfiguration of Video Object Detection Systems for Mobile GPUs
Somali Chaterji, Saurabh Bagchi, and Ran Xu
US Patent 18/120,285 filed, 3/10/2023.

Email: martin.xuran@gmail.com
Skype: martin.xuran