Demo Data from EDBT 2026 / reviewers in the wild / expert
Hubin Zhang
dblp:287/1674
· DBLP profile ↗
4ranked-venue papers
1as first author
4since 2021 · last 2026
0000-0001-8207-2224ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Computer networks · 1 · 1 since 2021Security and privacy · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Cloud and datacenter computing · 69% Hardware accelerators and domain-specific architectures · 31% | |
| Network and information security
2 papers |
Cryptographic protocols and secure computation · 30% Cryptographic primitives and cryptanalysis · 30% Hardware security and side channels · 30% |
Topics — the 7 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware accelerators and domain-specific architectures
cryptographic accelerator |
0.8 | 1 | 2024 | vCrypto: a Unified Para-Virtualization Framework for Heterogeneous Cryptographic Resources · INFOCOM 2024 |
Cloud and datacenter computing › virtualization
i/o virtualization |
0.8 | 1 | 2024 | vCrypto: a Unified Para-Virtualization Framework for Heterogeneous Cryptographic Resources · INFOCOM 2024 |
Cloud and datacenter computing
virtualization |
0.8 | 1 | 2024 | vCrypto: a Unified Para-Virtualization Framework for Heterogeneous Cryptographic Resources · INFOCOM 2024 |
Cryptographic protocols and secure computation
key management |
0.7 | 1 | 2023 | QKPT: Securing Your Private Keys in Cloud With Performance, Scalability and Transparency · IEEE Trans. Dependable Secur. Comput. 2023 |
Cryptographic primitives and cryptanalysis › cryptographic implementation
key protection |
0.7 | 1 | 2023 | QKPT: Securing Your Private Keys in Cloud With Performance, Scalability and Transparency · IEEE Trans. Dependable Secur. Comput. 2023 |
Hardware security and side channels
trusted execution environments |
0.7 | 1 | 2023 | QKPT: Securing Your Private Keys in Cloud With Performance, Scalability and Transparency · IEEE Trans. Dependable Secur. Comput. 2023 |
Network security › secure communication › secure communication protocol
TLS |
0.2 | 1 | 2024 | vCrypto: a Unified Para-Virtualization Framework for Heterogeneous Cryptographic Resources · INFOCOM 2024 |
Methods — techniques the papers use, named apart from their topics
polling · 1.5paravirtualization · 1.5memory sharing · 1.5SR-IOV · 1.5key wrapping · 1.3certificate trust · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | GLAE: global-local feature autoencoder for image logical anomaly detection
Jianjie Peng, Pengyu Feng, Junyong Ye, Jiafeng Zhuang, Hubin Zhang |
Vis. Comput. | 7 |
| 2024 | vCrypto: a Unified Para-Virtualization Framework for Heterogeneous Cryptographic ResourcesabstractTransport Layer Security (TLS) connections involve costly cryptographic operations which incur significant resource consumption in the cloud. Hardware accelerators are affordable substitutes of expensive CPU cores to accommodate with the constantly increasing security requirements of datacenters. Existing accelerators virtualization mainly relies on passthrough of Single Root I/O Virtualization (SR-IOV) devices. However, deficiency of service accessibility, functionality and availability make device passthrough not an optimal solution for heterogeneous accelerators with different capabilities. To make up the gap, we propose vCrypto, a unified para-virtualization framework for heterogeneous cryptographic resources. vCrypto supports stateful crypto requests offloading and result retrieval with session lifecycle management and event driven notification. vCrypto transparently integrates virtual crypto device capabilities into the OpenSSL framework to benefit existing applications that are based on crypto library APIs without modification. Multiple physical resources can be partitioned flexibly and scheduled cooperatively to enhance the functionality, performance and robustness of virtual crypto service. Finally, vCrypto achieves an optimized performance with two layers polling and memory sharing mechanism. The comprehensive experiments show that with the same cryptographic resources used, vCrypto framework can provide 2.59x to 3.36x higher AES-CBC-HMAC-SHA1 throughput compared to passthrough SR-IOV device. Chao Zhang 0115, Zongpu Zhang, Hubin Zhang, Weigang Li 0002, Yibin Shen, Jian Li 0021, Haibing Guan |
INFOCOM | 4 |
| 2023 | QKPT: Securing Your Private Keys in Cloud With Performance, Scalability and TransparencyabstractPrivate key (e.g., RSA key) protection is a significant issue for cloud but existing keyless or keyguard solutions suffer from performance, elasticity or applicability limitations. Recently, represented by Intel KPT, a novel keyguard architecture emerges to combine trusted platform module and crypto accelerator for achieving both security and performance. However, the straight use of KPT for private key protection may not be a good fit in cloud as it incurs challenges on protection capacity, key provisioning latency and transparency. Based on KPT-like hardware, we propose QKPT, a comprehensive key management system to bring your own private keys (BYOPK) into multi-tenant clouds. QKPT introduces a carefully-designed key wrapping layer to overcome these challenges. A small symmetric wrapping key (SWK) is generated for each tenant as the master key to resolve the former two challenges, while a special private key wrapping scheme is adopted to resolve the transparency limitation. Additionally, QKPT incorporates certificate trust to enhance the security of the SWK lifecycle and provides a hardened key server solution without expensive HSM. The evaluation shows that QKPT has a low runtime overhead ($\leq$1.2% for SSL/TLS handshakes) and still greatly outperforms the software baseline (3.5x-17x) owing to the crypto offloading. Zongpu Zhang, Hubin Zhang, Xiaokang Hu, Jian Li 0021, Weigang Li 0002, Guodong Zhu, Kapil Sood, Brian Will, Haibing Guan |
IEEE Trans. Dependable Secur. Comput. | 2 |
| 2021 | A comprehensive test framework for cryptographic accelerators in the cloud
Hubin Zhang, Xiaokang Hu, Jian Li 0021, Haibing Guan |
J. Syst. Archit. | 1 |