Daqing Zhang
Electrical and Electronic Engineering · 2004–2017
A researcher in the Science corpus: 14 papers; trusts 27 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 49 citations into it; #9,935 of 16,539 by trust here, #10,438 by citations
- Computer Networks and Communications — 47 citations into it; #7,587 of 9,886 by trust here, #2,687 by citations
- Computer Vision and Pattern Recognition — 44 citations into it; #17,206 of 21,575 by trust here, #9,305 by citations
- Transportation — 37 citations into it; #476 of 2,062 by trust here, #584 by citations
- Artificial Intelligence — 34 citations into it; #24,098 of 35,345 by trust here, #29,412 by citations
- Signal Processing — 24 citations into it; #5,451 of 7,572 by trust here, #6,836 by citations
- Information Systems — 19 citations into it; #6,537 of 8,771 by trust here, #4,518 by citations
- Ocean Engineering — 18 citations into it; #1,966 of 3,193 by trust here, #2,034 by citations
Whom Daqing Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rfdo 2XWOLHUV
- Andrew P. Bradley
- Dingqi Yang
- Ulrike von Luxburg
- Jianhua Lin
- Justin Zobel
- Chih-Jen Lin
- Naoki Abe
- Jae-Gil Lee
- Fei Tony Liu
Who trusts Daqing Zhang overall
- Dingqi Yang
- Luca Melis
- Congzheng Song
- Bingqing Qu
- Maria Rigaki
- Kun Qian
- Bin Guo
- Takao Murakami
- Yongsen Ma
- Vitaly Shmatikov
Papers from Daqing Zhang's perspective
Ordered by how strongly the researchers Daqing Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- PrivCheck: privacy-preserving check-in data publishing for personalized location based services (2016) — 65 citations
- RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices (2017) — 588 citations
- Dynamic-MUSIC: accurate device-free indoor localization (2016) — 352 citations
- Human respiration detection with commodity wifi devices: do user location and body orientation matter? (2016) — 497 citations
- Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016) — 339 citations
- NationTelescope: Monitoring and visualizing large-scale collective behavior in LBSNs (2015) — 161 citations
- From participatory sensing to Mobile Crowd Sensing (2014) — 402 citations
- Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things (2013) — 348 citations
- Prediction of urban human mobility using large-scale taxi traces and its applications (2012) — 355 citations
- iBAT: detecting anomalous taxi trajectories from GPS traces (2011) — 334 citations
- Activity Recognition on an Accelerometer Embedded Mobile Phone with Varying Positions and Orientations (2010) — 296 citations
- A service-oriented middleware for building context-aware services (2005) — 997 citations
- Toward an OSGi-based infrastructure for context-aware applications (2004) — 349 citations
- Ontology based context modeling and reasoning using OWL (2004) — 1,361 citations