World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10918
World Ranking
7088
National Ranking
3113

Overview

Qin Lv is affiliated with the University of Colorado Boulder in the United States. Their research predominantly spans the fields of computer science and social sciences, with a focus on several specialized subfields including computer vision and pattern recognition, sociology and political science, artificial intelligence, electrical and electronic engineering, and signal processing.

The primary topics addressed in their work include misinformation and its impacts, context-aware activity recognition systems, human pose and action recognition, indoor and outdoor localization technologies, social media and politics, hate speech and cyberbullying detection, and physical activity and health.

Qin Lv has published extensively in various scholarly venues. Frequent publication venues include:

  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • arXiv (Cornell University)
  • Transportation Research Interdisciplinary Perspectives
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the ACM Web Conference 2022

Recent papers by Qin Lv demonstrate a range of interests and contributions. These include:

  • Cross-modal Ambiguity Learning for Multimodal Fake News Detection, 2022, Proceedings of the ACM Web Conference 2022
  • Exploring LoRa for Long-range Through-wall Sensing, 2020, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Understanding WiFi Signal Frequency Features for Position-Independent Gesture Sensing, 2021, IEEE Transactions on Mobile Computing
  • Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit, 2022, Scientific Reports
  • WiBorder, 2020, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Qin Lv often collaborates with a consistent group of co-authors, reflecting ongoing research partnerships. Frequent co-authors include:

  • Tun Lu
  • Li Shang
  • Yingying Zhao
  • Mingzhi Dong
  • Robert P. Dick

Best Publications

  • Search and replication in unstructured peer-to-peer networks

    Qin Lv;Pei Cao;Edith Cohen;Kai Li

  • Multi-probe LSH: efficient indexing for high-dimensional similarity search

    Qin Lv;William Josephson;Zhe Wang;Moses Charikar

  • IndoTrack: Device-Free Indoor Human Tracking with Commodity Wi-Fi

    Xiang Li;Daqing Zhang;Qin Lv;Jie Xiong

  • The next generation of low-cost personal air quality sensors for quantitative exposure monitoring

    R. Piedrahita;Y. Xiang;N. Masson;J. Ortega

  • Can Heterogeneity Make Gnutella Scalable

    Qin Lv;Sylvia Ratnasamy;Sylvia Ratnasamy;Scott Shenker

  • Enhancing group recommendation by incorporating social relationship interactions

    Mike Gartrell;Xinyu Xing;Qin Lv;Aaron Beach

  • Analyzing Labeled Cyberbullying Incidents on the Instagram Social Network

    Homa Hosseinmardi;Sabrina Arredondo Mattson;Rahat Ibn Rafiq;Richard Han

  • ARIEL: automatic wi-fi based room fingerprinting for indoor localization

    Yifei Jiang;Xin Pan;Kun Li;Qin Lv

  • Fusing mobile, sensor, and social data to fully enable context-aware computing

    Aaron Beach;Mike Gartrell;Xinyu Xing;Richard Han

  • Search and replication in unstructured peer-to-peer networks

    Qin Lv;Pei Cao;Edith Cohen;Kai Li

  • Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance

    Jiangtao Wang;Yasha Wang;Daqing Zhang;Feng Wang

  • Hallway based automatic indoor floorplan construction using room fingerprints

    Yifei Jiang;Yun Xiang;Xin Pan;Kun Li

  • A decadal investigation of supraglacial lakes in West Greenland using a fully automatic detection and tracking algorithm

    Yu-Li Liang;William Colgan;Qin Lv;Konrad Steffen;Konrad Steffen

  • MAQS: a personalized mobile sensing system for indoor air quality monitoring

    Yifei Jiang;Kun Li;Lei Tian;Ricardo Piedrahita

  • Image similarity search with compact data structures

    Qin Lv;Moses Charikar;Kai Li

  • Filtering Image Spam with Near-Duplicate Detection.

    Zhe Wang;William K. Josephson;Qin Lv;Moses Charikar

  • Fault Prediction and Diagnosis of Wind Turbine Generators Using SCADA Data

    Yingying Zhao;Dongsheng Li;Ao Dong;Dahai Kang

  • An algorithm for efficient privacy-preserving item-based collaborative filtering

    Dongsheng Li;Chao Chen;Qin Lv;Li Shang

  • TE Design Lab: A virtual laboratory for thermoelectric material design

    Prashun Gorai;Prashun Gorai;Duanfeng Gao;Brenden Ortiz;Sam Miller

  • HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing

    Jiangtao Wang;Feng Wang;Yasha Wang;Leye Wang

  • Prediction of Cyberbullying Incidents on the Instagram Social Network

    Homa Hosseinmardi;Sabrina Arredondo Mattson;Rahat Ibn Rafiq;Richard Han

  • Similarity search system with compact data structures

    Kai Li;Qin Lv;Moses Charikar

Frequent Co-Authors

Li Shang
Li Shang University of Colorado Boulder
Shivakant Mishra
Shivakant Mishra University of Colorado Boulder
Richard Han
Richard Han Macquarie University
Robert P. Dick
Robert P. Dick University of Michigan–Ann Arbor
Michael P. Hannigan
Michael P. Hannigan University of Colorado Boulder
Daqing Zhang
Daqing Zhang Peking University
Kai Li
Kai Li Princeton University
Moses Charikar
Moses Charikar Stanford University
Xue Liu
Xue Liu McGill University
Daven K. Henze
Daven K. Henze University of Colorado Boulder

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