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Computer Science

D-Index
56
Citations
11816
World Ranking
4101
National Ranking
544

Overview

Yanmin Zhu is a researcher affiliated with Shanghai Jiao Tong University in China, with a substantial body of work in computer science and engineering. Their research spans multiple subfields including artificial intelligence, information systems, computer networks and communications, electrical and electronic engineering, and computer vision and pattern recognition.

Their scholarly contributions have appeared frequently in notable publication venues, which include:

  • IEEE Transactions on Mobile Computing
  • ACM Transactions on Information Systems
  • ACM Transactions on Knowledge Discovery from Data
  • Information Sciences
  • IEEE Internet of Things Journal

Zhu's research topics cover a range of areas, notably:

  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Topic Modeling
  • Human Mobility and Location-Based Analysis
  • Mobile Crowdsensing and Crowdsourcing
  • Advanced Bandit Algorithms Research
  • IoT and Edge/Fog Computing

Among their recent papers are:

  • "A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions" (2022), published in ACM Transactions on Information Systems
  • "Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing" (2022), published in IEEE Transactions on Mobile Computing
  • "Online Computation Offloading and Resource Scheduling in Mobile-Edge Computing" (2021), published in IEEE Internet of Things Journal
  • "Contrastive Self-supervised Learning in Recommender Systems: A Survey" (2023), published in ACM Transactions on Information Systems
  • "Learning Graph-based Disentangled Representations for Next POI Recommendation" (2022), published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Frequent collaborators of Yanmin Zhu include:

  • Jiadi Yu
  • Feilong Tang
  • Tianzi Zang
  • Chunyang Wang
  • Haobing Liu

The scope and variety of these coauthors indicate a collaborative approach in advancing research on topics such as recommendation systems, edge computing, and mobile computing. Zhu's publication record demonstrates ongoing engagement with both theoretical and applied domains within computer science and engineering.

Best Publications

  • TRAC: Truthful Auction for Location-Aware Collaborative Sensing in Mobile Crowdsourcing

    Zhenni Feng;Yanmin Zhu;Qian Zhang;Lionel Ming-Shuan Ni

  • CoLight: Learning Network-level Cooperation for Traffic Signal Control

    Hua Wei;Nan Xu;Huichu Zhang;Guanjie Zheng

  • Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

    Ahmad Ali;Yanmin Zhu;Muhammad Zakarya

  • CDC : Compressive Data Collection for Wireless Sensor Networks

    Xiao-Yang Liu;Yanmin Zhu;Linghe Kong;Cong Liu

  • Recognizing Exponential Inter-Contact Time in VANETs

    Hongzi Zhu;Luoyi Fu;Guangtao Xue;Yanmin Zhu

  • A Survey on Trajectory Data Mining: Techniques and Applications

    Zhenni Feng;Yanmin Zhu

  • Diagnosing New York city's noises with ubiquitous data

    Yu Zheng;Tong Liu;Yilun Wang;Yanmin Zhu

  • Toward Secure Multikeyword Top-k Retrieval over Encrypted Cloud Data

    Jiadi Yu;Peng Lu;Yanmin Zhu;Guangtao Xue

  • POST: Exploiting Dynamic Sociality for Mobile Advertising in Vehicular Networks

    Jun Qin;Hongzi Zhu;Yanmin Zhu;Li Lu

  • A Compressive Sensing Approach to Urban Traffic Estimation with Probe Vehicles

    Yanmin Zhu;Zhi Li;Hongzi Zhu;Minglu Li

  • Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks

    Ahmad Ali;Yanmin Zhu;Muhammad Zakarya

  • Mining large-scale, sparse GPS traces for map inference: comparison of approaches

    Xuemei Liu;James Biagioni;Jakob Eriksson;Yin Wang

  • A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing

    Ahmad Ali;Yanmin Zhu;Muhammad Zakarya

  • A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations

    Weiyu Cheng;Yanyan Shen;Yanmin Zhu;Linpeng Huang

  • SenSpeed: Sensing Driving Conditions to Estimate Vehicle Speed in Urban Environments

    Jiadi Yu;Hongzi Zhu;Haofu Han;Yingying Jennifer Chen

  • An Indirect Eavesdropping Attack of Keystrokes on Touch Screen through Acoustic Sensing

    Jiadi Yu;Li Lu;Yingying Chen;Yanmin Zhu

  • SenSpeed: Sensing driving conditions to estimate vehicle speed in urban environments

    Haofu Han;Jiadi Yu;Hongzi Zhu;Yingying Chen

  • Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks

    Xian Zhou;Yanyan Shen;Yanmin Zhu;Linpeng Huang

  • Fine-Grained Abnormal Driving Behaviors Detection and Identification with Smartphones

    Jiadi Yu;Zhongyang Chen;Yanmin Zhu;Yingying Jennifer Chen

  • CrowdAtlas: self-updating maps for cloud and personal use

    Yin Wang;Xuemei Liu;Hong Wei;George Forman

Frequent Co-Authors

Jiadi Yu
Jiadi Yu Shanghai Jiao Tong University
Minglu Li
Minglu Li Zhejiang Normal University
Lionel M. Ni
Lionel M. Ni Hong Kong University of Science and Technology (Guangzhou)
Hongzi Zhu
Hongzi Zhu Shanghai Jiao Tong University
Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Min-You Wu
Min-You Wu Shanghai Jiao Tong University
Yuanyuan Yang
Yuanyuan Yang Stony Brook University
Yunhao Liu
Yunhao Liu Tsinghua University
Linghe Kong
Linghe Kong Shanghai Jiao Tong University
Fan Ye
Fan Ye Stony Brook University

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