What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- The Internet
Hao Chen spends much of his time researching Computer security, World Wide Web, Android, Artificial intelligence and User interface.
His work deals with themes such as Adversarial system and Android application, which intersect with Computer security.
His study in World Wide Web is interdisciplinary in nature, drawing from both Information flow, Leverage and Scripting language.
His Android research incorporates themes from Machine code, Malware and False positive rate.
His work on Deep learning, Artificial neural network and Classifier as part of general Artificial intelligence research is frequently linked to Randomness, bridging the gap between disciplines.
His study looks at the intersection of Information retrieval and topics like Focus with Support vector machine.
His most cited work include:
- Hierarchical classification of Web content (765 citations)
- Bringing order to the Web: automatically categorizing search results (593 citations)
- AndroidLeaks: automatically detecting potential privacy leaks in android applications on a large scale (493 citations)
What are the main themes of his work throughout his whole career to date?
Hao Chen focuses on Homomorphic encryption, Computer security, Encryption, Android and Theoretical computer science.
His work carried out in the field of Homomorphic encryption brings together such families of science as Ciphertext, Cryptography, Set, Plaintext and Oblivious ram.
His research investigates the connection with Computer security and areas like World Wide Web which intersect with concerns in Android application and Information retrieval.
His studies in Encryption integrate themes in fields like Algorithm and Multiplication, Arithmetic.
His Android research includes elements of Rewriting, Malware and Access control.
His work on Communication complexity as part of general Theoretical computer science study is frequently linked to Genomic data, bridging the gap between disciplines.
He most often published in these fields:
- Homomorphic encryption (22.22%)
- Computer security (19.88%)
- Encryption (16.37%)
What were the highlights of his more recent work (between 2018-2021)?
- Homomorphic encryption (22.22%)
- Encryption (16.37%)
- Artificial intelligence (12.28%)
In recent papers he was focusing on the following fields of study:
Hao Chen mostly deals with Homomorphic encryption, Encryption, Artificial intelligence, Theoretical computer science and Machine learning.
The study incorporates disciplines such as Oblivious ram and Algorithm in addition to Homomorphic encryption.
The concepts of his Encryption study are interwoven with issues in Scheme, Key and Arithmetic.
Key is a subfield of Computer security that Hao Chen studies.
His Artificial intelligence study typically links adjacent topics like Computer vision.
His work deals with themes such as Variety and Code, which intersect with Machine learning.
Between 2018 and 2021, his most popular works were:
- XONN: XNOR-based oblivious deep neural network inference (63 citations)
- CHET: an optimizing compiler for fully-homomorphic neural-network inferencing (39 citations)
- Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference (31 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- The Internet
His scientific interests lie mostly in Homomorphic encryption, Theoretical computer science, Encryption, Scalability and Artificial intelligence.
His Homomorphic encryption research incorporates elements of Oblivious ram, Algorithm and Cluster analysis.
His study in Theoretical computer science is interdisciplinary in nature, drawing from both Taint checking, Path, Code coverage, Secure multi-party computation and Fuzz testing.
His Encryption research is multidisciplinary, incorporating elements of Scheme, Binary number and Bootstrapping.
His Scalability research integrates issues from Artificial neural network, Key and Distributed computing.
His Deep learning and Similarity study in the realm of Artificial intelligence interacts with subjects such as Space and Current.
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