Demo Data from VLDB 2026 / reviewers in the wild / expert
Zenghua Xia
dblp:245/6045
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0002-4606-6606ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 2 · 1 first-author · 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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% | |
| Network and information security
1 paper |
Web and mobile security · 87% Privacy and data protection · 13% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › retrieval models
generative retrieval |
1.0 | 1 | 2026 | CAT-ID2: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce · WSDM 2026 |
Web and mobile security › online social network abuse
malicious account detection |
0.4 | 1 | 2019 | Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study · KDD 2019 |
Web and mobile security
online social network security |
0.4 | 1 | 2019 | Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study · KDD 2019 |
Information retrieval
e-commerce search |
0.3 | 1 | 2026 | CAT-ID2: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce · WSDM 2026 |
Methods — techniques the papers use, named apart from their topics
malicious account detection · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | CAT-ID2: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce
Yiqing Wu, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang 0011, Fei Jiang 0009, Wei Lin 0022 |
WSDM | 5 |
| 2019 | Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case StudyabstractMalicious accounts are one of the biggest threats to the security and privacy of online social networks (OSNs). In this work, we study a new type of OSN, called privacy-centric mobile social network (PC-MSN), such as KakaoTalk and LINE, which has attracted billions of users recently. The design of PC-MSN is inspired to protect their users' privacy from strangers: (1) a stranger is not easy to send a friend request to a user who does not want to make friends with strangers; and (2) strangers cannot view a user's post. Such a design mitigates the security issue of malicious accounts. At the same time, it also brings the battleground between attackers and defenders to an earlier stage, i.e., making friendship, than the one studied in previous works. Also, previous defense proposals mostly rely on certain assumptions on the attacker, which may not be robust in the new PC-MSNs. As a result, previous malicious accounts detection approaches are less effective on a PC-MSN. Zenghua Xia, Chang Liu 0021, Neil Zhenqiang Gong, Qi Li 0002, Yong Cui 0001, Dawn Song |
KDD | 1 |