Zibin Zheng
Information Systems · 2009–2022
A researcher in the Science corpus: 19 papers; trusts 175 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 216 citations into it; #1,408 of 8,771 by trust here, #324 by citations
- Artificial Intelligence — 173 citations into it
- Computer Networks and Communications — 126 citations into it; #1,732 of 9,886 by trust here, #402 by citations
- Computer Vision and Pattern Recognition — 62 citations into it
- Representation & Self-Supervised Learning — 33 citations into it; #2,318 of 3,145 by trust here, #1,982 by citations
- Electrical and Electronic Engineering — 22 citations into it
- Management Information Systems — 21 citations into it
- Management Science and Operations Research — 16 citations into it
Whom Zibin Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Resnick
- Hao Ma
- Thomas Hofmann
- Robin D. Burke
- Anthony Dewayne Hunt
- Michael R. Lyu
- J. Breese
- Badrul Munir Sarwar
- Marko Vukolic
- Alex Krizhevsky
Who trusts Zibin Zheng overall
- Michael R. Lyu
- Wancai Zhang
- Harald P. E. Vranken
- Yilei Zhang
- X. Chen
- Ahmed Afif Monrat
- Marko Hölbl
- Ing-Ray Chen
- Xin Luo
- Hailong Sun
Papers from Zibin Zheng's perspective
Ordered by how strongly the researchers Zibin Zheng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Fusing Blockchain and AI With Metaverse: A Survey (2022) — 374 citations
- Solutions to Scalability of Blockchain: A Survey (2020) — 547 citations
- A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus (2020) — 544 citations
- Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding (2019) — 332 citations
- Blockchain for Internet of Things: A Survey (2019) — 994 citations
- An Overview on Smart Contracts: Challenges, Advances and Platforms (2019) — 979 citations
- Learning Semantic Representations for Unsupervised Domain Adaptation (2018) — 535 citations
- Blockchain challenges and opportunities: a survey (2018) — 3,354 citations
- Tools and Benchmarks for Automated Log Parsing (2018) — 528 citations
- Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids (2018) — 643 citations
- Drain: An Online Log Parsing Approach with Fixed Depth Tree (2017) — 961 citations
- An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends (2017) — 3,510 citations
- QoS-Aware Web Service Recommendation via Collaborative Filtering (2014) — 870 citations
- Investigating QoS of Real-World Web Services (2014) — 411 citations
- Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization (2013) — 439 citations
- QoS Ranking Prediction for Cloud Services (2013) — 331 citations
- Collaborative reliability prediction of service-oriented systems (2010) — 298 citations
- Distributed QoS Evaluation for Real-World Web Services (2010) — 382 citations
- WSRec: A Collaborative Filtering Based Web Service Recommender System (2009) — 528 citations