What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Ben Y. Zhao mainly focuses on Distributed computing, Computer network, World Wide Web, The Internet and Scalability.
Ben Y. Zhao interconnects Key-based routing and Service in the investigation of issues within Distributed computing.
His Computer network study combines topics in areas such as Overlay network and Service assurance.
His work deals with themes such as Service provider, Service discovery and Internet privacy, which intersect with World Wide Web.
His Internet privacy study deals with Interpersonal ties intersecting with Computer security.
Ben Y. Zhao has included themes like Popularity, Social graph, Data science and Graph in his The Internet study.
His most cited work include:
- OceanStore: an architecture for global-scale persistent storage (3026 citations)
- Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing (2190 citations)
- Tapestry: a resilient global-scale overlay for service deployment (1666 citations)
What are the main themes of his work throughout his whole career to date?
Ben Y. Zhao spends much of his time researching Computer network, Computer security, Distributed computing, Artificial intelligence and Wireless.
His study in Computer network is interdisciplinary in nature, drawing from both Scalability and The Internet.
His research investigates the link between Computer security and topics such as Internet privacy that cross with problems in Social network.
As part of one scientific family, Ben Y. Zhao deals mainly with the area of Distributed computing, narrowing it down to issues related to the Dynamic Source Routing, and often Link-state routing protocol.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Human–computer interaction.
He combines subjects such as Testbed and Real-time computing with his study of Wireless.
He most often published in these fields:
- Computer network (27.94%)
- Computer security (20.24%)
- Distributed computing (19.03%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (12.55%)
- Deep learning (6.07%)
- Computer security (20.24%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Deep learning, Computer security, Machine learning and Variety.
Ben Y. Zhao has included themes like Backdoor and Analytics in his Artificial intelligence study.
His research integrates issues of Watermark, Data mining, Personalization, Ticket and Human–computer interaction in his study of Deep learning.
Ben Y. Zhao studied Human–computer interaction and The Internet that intersect with Node and Dissemination.
His Computer security research includes elements of Wireless, Overhead and Vulnerability.
His study on Wireless network is mostly dedicated to connecting different topics, such as Computer network.
Between 2016 and 2021, his most popular works were:
- Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks (242 citations)
- Latent Backdoor Attacks on Deep Neural Networks (75 citations)
- Automated Crowdturfing Attacks and Defenses in Online Review Systems (58 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Computer network
- Operating system
His main research concerns Artificial intelligence, Computer security, Variety, Machine learning and Deep learning.
His Artificial intelligence research incorporates themes from Eavesdropping, Null and Microphone.
When carried out as part of a general Computer security research project, his work on Home security is frequently linked to work in Training, therefore connecting diverse disciplines of study.
His Variety research focuses on Facial recognition system and how it relates to Human–computer interaction, False positive paradox, Key and Task.
His Machine learning research focuses on subjects like Backdoor, which are linked to Iris recognition and Context.
His Deep learning research also works with subjects such as
- Burstiness that connect with fields like Recurrent neural network,
- Service provider which is related to area like Social network, Clickstream, Binary classification, Node and World Wide Web.
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