What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His main research concerns Computer network, Wireless, Distributed computing, Frequency allocation and Spectrum management.
His study deals with a combination of Computer network and Reuse.
His research integrates issues of Testbed, Signal and Communication channel in his study of Wireless.
His Distributed computing research is multidisciplinary, relying on both Cognitive radio and Resource allocation.
His research in Frequency allocation intersects with topics in Network topology and Intelligent Network.
His research investigates the connection with Spectrum management and areas like Spectral efficiency which intersect with concerns in Common value auction, Forward auction, Robustness and Bandwidth allocation.
His most cited work include:
- Utilization and fairness in spectrum assignment for opportunistic spectrum access (482 citations)
- TRUST: A General Framework for Truthful Double Spectrum Auctions (422 citations)
- eBay in the Sky: strategy-proof wireless spectrum auctions (394 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Wireless, Artificial intelligence, Computer security and Distributed computing.
Haitao Zheng has researched Computer network in several fields, including Wireless network, Throughput and Communication channel.
His Wireless study combines topics from a wide range of disciplines, such as Testbed, Real-time computing and Retransmission.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Backdoor, Machine learning and Computer vision.
His Computer security study frequently involves adjacent topics like Crowdsourcing.
His work carried out in the field of Distributed computing brings together such families of science as Node, Network topology, Resource allocation and Frequency allocation.
He most often published in these fields:
- Computer network (35.58%)
- Wireless (22.12%)
- Artificial intelligence (14.42%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (14.42%)
- Machine learning (6.73%)
- Deep learning (5.77%)
In recent papers he was focusing on the following fields of study:
Haitao Zheng spends much of his time researching Artificial intelligence, Machine learning, Deep learning, Variety and Facial recognition system.
His Artificial intelligence study combines topics in areas such as Backdoor and Noise.
His Machine learning research includes themes of Profiling and Process.
As a part of the same scientific family, Haitao Zheng mostly works in the field of Variety, focusing on Computer security and, on occasion, Vulnerability and Countermeasure.
In his research, The Internet and Replay attack is intimately related to Human–computer interaction, which falls under the overarching field of Facial recognition system.
The concepts of his Eavesdropping study are interwoven with issues in Wireless and Wearable computer.
Between 2018 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)
- Fawkes: Protecting Privacy against Unauthorized Deep Learning Models (19 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His primary scientific interests are in Artificial intelligence, Machine learning, Variety, Artificial neural network and Backdoor.
Haitao Zheng combines subjects such as Noise, Computer vision, Jamming, Ultrasonic sensor and Transducer with his study of Artificial intelligence.
His work deals with themes such as Computer security, Facial recognition system and Deep learning, which intersect with Variety.
His Computer security research is mostly focused on the topic Key.
His Facial recognition system research integrates issues from The Internet and Human–computer interaction.
His Backdoor research incorporates elements of Context, Iris recognition, Biometrics, Pruning and Transparency.
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