Collaborative Intelligence Systems Lab

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* Equal contribution

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting
Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Mustafa, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
ICRA, 2024
[Paper] [Data] [Code] [Project]
Media:

Boosting Collaborative Vehicular Perception on the Edge with Vehicle-to-Vehicle Communication
Ruiyang Zhu, Xiao Zhu, Anlan Zhang, Xumiao Zhang, Jiachen Sun, Feng Qian, Hang Qiu, Z. Morley Mao, Myungjin Lee
SenSys, 2024
[Paper]

Embodied Understanding of Driving Scenarios
Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, Hongyang Li
ECCV, 2024
[Paper] [Data] [Code]

MCAL: Minimum Cost Human-Machine Active Labeling
Hang Qiu, Krishna Chintalapudi, Ramesh Govindan
ICLR, 2023
[Paper] [Talk] [Code]

ML-EXray: Visibility into ML Deployment on the Edge
Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti
MLSys, 2022, Outstanding Paper Award
[Paper] [Code]
Media:

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles
Hang Qiu*, Jiaxun Cui*, Dian Chen, Peter Stone, Yuke Zhu
CVPR, 2022
[Paper] [Demo] [Code] [Project]

AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving
Hang Qiu, Pohan Huang, Namo Asavisanu, Xiaochen Liu, Konstantinos Psounis, Ramesh Govindan
ACM MobiSys, 2022
[Paper] [Talk] [Demo] [Code] [Project]

Sensing the Sensor: Estimating Camera Properties with Minimal Information
Pradipta Ghosh, Xiaochen Liu, Hang Qiu, Marcos A. M. Vieira, Gaurav S. Sukhatme, Ramesh Govindan
TOSN, 2022
[Paper]

CarMap: Fast 3D Feature Map Updates for Automobiles
Fawad Ahmad, Hang Qiu, Ray Eells, Fan Bai, Ramesh Govindan
USENIX NSDI, 2020
[Paper] [Demo] [Code]

FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, others
NeurIPS, SpicyFL, 2020, Best Paper Award
[Paper] [Code] [Project]

Optimal Resource Allocation for Crowdsourced Image Processing
Kristina Sorensen Wheatman, Fidan Mehmeti, Mark Mahon, Hang Qiu, Kevin Chan, Thomas La Porta
IEEE SECON, 2020
[Paper]

AVR: Augmented Vehicular Reality
Hang Qiu, Fawad Ahmad, Fan Bai, Marco Gruteser, Ramesh Govindan
ACM MobiSys, 2018, Best Paper Runner-up Award
[Paper] [Talk] [Demo] [Code]

Kestrel: Video analytics for augmented multi-camera vehicle tracking
Hang Qiu, Xiaochen Liu, Swati Rallapalli, Archith J Bency, Kevin Chan, Rahul Urgaonkar, BS Manjunath, Ramesh Govindan
IEEE/ACM IoTDI, 2018
[Paper] [Demo] [Data]

Augmented Vehicular Reality: Enabling Extended Vision for Future Vehicles
Hang Qiu, Fawad Ahmad, Ramesh Govindan, Marco Gruteser, Fan Bai, Gorkem Kar
ACM HotMobile, 2017
[Paper]

Towards Robust Vehicular Context Sensing
Hang Qiu, Jinzhu Chen, Shubham Jain, Yurong Jiang, Matt McCartney, Gorkem Kar, Fan Bai, Donald K Grimm, Marco Gruteser, Ramesh Govindan
IEEE TVT, 2017
[Paper] [Data]

High-Rate WiFi Broadcasting in Crowded Scenarios via Lightweight Coordination of Multiple Access Points
Hang Qiu, Konstantinos Psounis, Giuseppe Caire, Keith M. Chugg, Kaidong Wang
ACM MobiHoc, 2016
[Paper] [Talk]

CARLOC: Precise Positioning of Automobiles
Yurong Jiang, Hang Qiu, Matthew McCartney, Gaurav Sukhatme, Marco Gruteser, Fan Bai, Donald Grimm, Ramesh Govindan
ACM SenSys, 2015
[Paper]

CARLOG: A Platform for Flexible and Efficient Automotive Sensing
Yurong Jiang, Hang Qiu, Matthew McCartney, William G. J. Halfond, Fan Bai, Donald Grimm, Ramesh Govindan
ACM SenSys, 2014
[Paper]