Demo Data from VLDB 2026 / reviewers in the wild / expert
Zhiqiang Dong
dblp:296/2889
· DBLP profile ↗
7ranked-venue papers
1as first author
7since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 since 2021Security and privacy · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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.
| Network and information security
1 paper |
Systems and software security · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › isolation
container isolation |
0.7 | 1 | 2023 | Attacks are Forwarded: Breaking the Isolation of MicroVM-based Containers Through Operation Forwarding · USENIX Security Symposium 2023 |
Cloud and datacenter computing › virtualization › lightweight virtualization
microVM |
0.2 | 1 | 2023 | Attacks are Forwarded: Breaking the Isolation of MicroVM-based Containers Through Operation Forwarding · USENIX Security Symposium 2023 |
Cloud and datacenter computing
virtualization |
0.2 | 1 | 2023 | Attacks are Forwarded: Breaking the Isolation of MicroVM-based Containers Through Operation Forwarding · USENIX Security Symposium 2023 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A multi-scale representation and multi-level decision learning network for multimodal sentiment analysis
Xiang Li 0117, Zhiqiang Dong, Xianfu Cheng, Dezhuang Miao, Haijun Zhang 0007, Tianbo Wang 0001, Xiaoming Zhang 0001, Zhoujun Li 0001 |
Expert Syst. Appl. | 2 |
| 2026 | Enhancing large language model for fake news video detection via cross-modal retrieval
Linfeng Han, Tianbo Wang 0001, Zhiqiang Dong |
Inf. Process. Manag. | 5 |
| 2025 | Learning fine-grained representation with token-level alignment for multimodal sentiment analysis
Xiang Li 0117, Haijun Zhang 0007, Zhiqiang Dong, Xianfu Cheng, Yun Liu 0017, Xiaoming Zhang 0001 |
Expert Syst. Appl. | 3 |
| 2024 | Single Model Learns Multiple Styles of Chinese Calligraphy via Style Collection Mechanism
Zhiqiang Dong, Jiashun Duan, Xuanhong Wang, Pengfei Xu 0003, Xia Zheng |
PRCV (2) | 1 |
| 2023 | Attacks are Forwarded: Breaking the Isolation of MicroVM-based Containers Through Operation Forwarding
Jietao Xiao, Nanzi Yang, Wenbo Shen, Jinku Li, Zhiqiang Dong, Jianfeng Ma 0001 |
USENIX Security Symposium | 6 |
| 2022 | Graph convolutional networks in language and vision: A survey
Haotian Ren, Wei Lu 0015, Xiaojun Chang, Xuanhong Wang, Zhiqiang Dong, Dingyi Fang |
Knowl. Based Syst. | 6 |
| 2021 | ADEIP: an integrated platform of age-dependent expression and immune profiles across human tissuesabstractGene expression and immune status in human tissues are changed with aging. There is a need to develop a comprehensive platform to explore the dynamics of age-related gene expression and immune profiles across tissues in genome-wide studies. Here, we collected RNA-Seq datasets from GTEx project, containing 16 704 samples from 30 major tissues in six age groups ranging from 20 to 79 years old. Dynamic gene expression along with aging were depicted and gene set enrichment analysis was performed among those age groups. Genes from 34 known immune function categories and immune cell compositions were investigated and compared among different age groups. Finally, we integrated all the results and developed a platform named ADEIP (http://gb.whu.edu.cn/ADEIP or http://geneyun.net/ADEIP), integrating the age-dependent gene expression and immune profiles across tissues. To demonstrate the usage of ADEIP, we applied two datasets: severe acute respiratory syndrome coronavirus 2 and human mesenchymal stem cells-assoicated genes. We also included the expression and immune dynamics of these genes in the platform. Collectively, ADEIP is a powerful platform for studying age-related immune regulation in organogenesis and other infectious or genetic diseases. Xuan Liu 0010, Wenbo Chen 0006, Liuping Chang, Haidong Ye, Wen Zhang 0008, Zhiqiang Dong, Leng Han, Chunjiang He |
Briefings Bioinform. | 11 |