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Computer Science

D-Index
51
Citations
9622
World Ranking
5378
National Ranking
2463

Overview

Lu Su is affiliated with Purdue University West Lafayette in the United States. Their research spans multiple domains within computer science and engineering, with a focus on artificial intelligence, electrical and electronic engineering, and computer vision.

The primary fields of study for Lu Su include:

  • Computer Science
  • Engineering

Within these broad areas, their work is concentrated in the following subfields:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Building and Construction

The main topics in Lu Su's research cover a variety of emerging and applied technologies:

  • Domain Adaptation and Few-Shot Learning
  • Indoor and Outdoor Localization Technologies
  • Machine Learning and Data Classification
  • Transportation and Mobility Innovations
  • Privacy-Preserving Technologies in Data
  • Electric Vehicles and Infrastructure
  • Smart Parking Systems Research

Lu Su has published extensively in peer-reviewed venues. Some of the frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Proceedings of the National Academy of Sciences
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent significant papers authored or co-authored by Lu Su are:

  • "Who Is in Control? Practical Physical Layer Attack and Defense for mmWave-Based Sensing in Autonomous Vehicles," 2021, IEEE Transactions on Information Forensics and Security
  • "DeepMV," 2020, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Joint Charging and Relocation Recommendation for E-Taxi Drivers via Multi-Agent Mean Field Hierarchical Reinforcement Learning," 2020, IEEE Transactions on Mobile Computing
  • "Exploring the coupling coordination relationship between eco-environment and renewable energy development in rural areas: A case of China," 2023, The Science of The Total Environment
  • "Structural basis for regulation of SOS response in bacteria," 2023, Proceedings of the National Academy of Sciences

Lu Su frequently collaborates with other researchers. Their most frequent co-authors include:

  • Chenglin Miao
  • Han-Jia Ye
  • De-Chuan Zhan
  • Chunming Qiao
  • Haiming Jin

Best Publications

  • EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

    Yaqing Wang;Fenglong Ma;Zhiwei Jin;Ye Yuan

  • Towards Environment Independent Device Free Human Activity Recognition

    Wenjun Jiang;Chenglin Miao;Fenglong Ma;Shuochao Yao

  • A Survey on Truth Discovery

    Yaliang Li;Jing Gao;Chuishi Meng;Qi Li

  • A confidence-aware approach for truth discovery on long-tail data

    Qi Li;Yaliang Li;Jing Gao;Lu Su

  • Quality of Information Aware Incentive Mechanisms for Mobile Crowd Sensing Systems

    Haiming Jin;Lu Su;Danyang Chen;Klara Nahrstedt

  • Towards 3D human pose construction using wifi

    Wenjun Jiang;Hongfei Xue;Chenglin Miao;Shiyang Wang

  • FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation

    Fenglong Ma;Yaliang Li;Qi Li;Minghui Qiu

  • SmartRoad: Smartphone-Based Crowd Sensing for Traffic Regulator Detection and Identification

    Shaohan Hu;Lu Su;Hengchang Liu;Hongyan Wang

  • DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

    Shuochao Yao;Yiran Zhao;Aston Zhang;Lu Su

  • INCEPTION: incentivizing privacy-preserving data aggregation for mobile crowd sensing systems

    Haiming Jin;Lu Su;Houping Xiao;Klara Nahrstedt

  • On the Discovery of Evolving Truth

    Yaliang Li;Qi Li;Jing Gao;Lu Su

  • Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems

    Chenglin Miao;Wenjun Jiang;Lu Su;Yaliang Li

  • Truth Discovery on Crowd Sensing of Correlated Entities

    Chuishi Meng;Wenjun Jiang;Yaliang Li;Jing Gao

  • Deep Learning for the Internet of Things

    Shuochao Yao;Yiran Zhao;Aston Zhang;Shaohan Hu

  • mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave

    Hongfei Xue;Yan Ju;Chenglin Miao;Yijiang Wang

  • Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems

    Haiming Jin;Lu Su;Bolin Ding;Klara Nahrstedt

  • Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems

    Haiming Jin;Lu Su;Houping Xiao;Klara Nahrstedt

  • FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices

    Shuochao Yao;Yiran Zhao;Huajie Shao;ShengZhong Liu

  • Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery

    Yaliang Li;Qi Li;Jing Gao;Lu Su

  • You Can Hear But You Cannot Steal: Defending Against Voice Impersonation Attacks on Smartphones

    Si Chen;Si Chen;Kui Ren;Sixu Piao;Cong Wang

  • CENTURION: Incentivizing multi-requester mobile crowd sensing

    Haiming Jin;Lu Su;Klara Nahrstedt

Frequent Co-Authors

Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Jing Gao
Jing Gao Purdue University West Lafayette
Yaliang Li
Yaliang Li Alibaba Group (China)
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Kui Ren
Kui Ren Zhejiang University
Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York
Aidong Zhang
Aidong Zhang University of Virginia
Klara Nahrstedt
Klara Nahrstedt University of Illinois at Urbana-Champaign
Lance Kaplan
Lance Kaplan United States Army Research Laboratory
Wei Fan
Wei Fan Tencent (China)

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