Haitao Xu
百人计划研究员
Works on cybercrime ecosystem governance, privacy and security of large language models, attack detection and web security.
Haitao Xu's lab at Zhejiang works on large language models, recognition, detection & segmentation and social computing & responsible AI. 23 papers since 2023, 10 at top venues, mostly WWW and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 43%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 3 · collecting
- 10 papers2025 · T1 6
- 5 papers2024 · T1 0
- 2 papers2023 · T1 1
T1 venuesOtherVenues: WWW, AAAI, CHI, ICASSP, ICSE
Research focuspaper titles that use each topic's words
- Large language models11 papers
- Recognition, detection & segmentation7 papers
- Social computing & responsible AI0 papers
- security0 papers
- ecosystem0 papers
Paper list
From DBLP.
20266 papers
- NDSS (T1)CHAMELEOSCAN: Demystifying and Detecting iOS Chameleon Apps via LLM-Powered UI Exploration (opens in a new tab)
- DASFAAENDeliver: An Energy-Aware Framework of Large Spatio-Temporal Model for E-Bike Delivery Route Planning (opens in a new tab)
- IEEE Trans. Dependable Secur. Comput.Incorporating Gradients to Rules: Toward Online, Adaptive Provenance-Based Intrusion Detection (opens in a new tab)
- AAAI (T1)LiBrain: LLM-Powered Li-ion Battery Diagnostics with Time-Series-Aware Retrieval-Augmented Framework for E-bikes (opens in a new tab)
- DSNLLM-Empowered Discovery of Windows APIs Exploitable for Persistent Storage in Fileless Attacks (opens in a new tab)
- CHI (T1)The Privacy Paradox of LLMs: User Perceptions and the Reality of PII Leakage (opens in a new tab)
202510 papers
- Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.AdsDP: A Video Dataset for Recognizing and Examining Dark Patterns in iOS In-App Advertisements (opens in a new tab)
- USENIX Security (T1)Effective PII Extraction from LLMs through Augmented Few-Shot Learning (opens in a new tab)
- WWW (T1)PETravel: Personalized E-bike Travel Recommendation System with Unlimited Endurance (opens in a new tab)
- Inf. FusionPMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network (opens in a new tab)
- WWW (T1)RideSmart: Pre-trained Large Models for Delivery Route Planning (opens in a new tab)
- SecureCommSpatiotemporal Cross-Domain Integrated Insights: Mitigating Fraudulent Activities on Ethereum (opens in a new tab)
- ICSE (T1)TacDroid: Detection of Illicit Apps Through Hybrid Analysis of UI-Based Transition Graphs (opens in a new tab)
- IJCAI (T1)Understanding PII Leakage in Large Language Models: A Systematic Survey (opens in a new tab)
- INFOCOM (T1)Understanding the Business of Online Affiliate Marketing: An Empirical Study (opens in a new tab)
- Inf. FusionVul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection (opens in a new tab)
20245 papers
- ASEAndroid Malware Family Labeling: Perspectives from the Industry (opens in a new tab)
- IEEE Trans. Mob. Comput.CMD: Co-Analyzed IoT Malware Detection and Forensics via Network and Hardware Domains (opens in a new tab)
- ACNSDDoSMiner: An Automated Framework for DDoS Attack Characterization and Vulnerability Mining (opens in a new tab)
- ADMAInformative Sample Labeling with Conditional Variational Deep Embedding for Active Learning (opens in a new tab)
- Comput. NetworksTransURL: Improving malicious URL detection with multi-layer Transformer encoding and multi-scale pyramid features (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
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Tiers are venue classifications, not lab rankings.
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