Jialiang Dong
  • Bio
  • Papers
  • Talks
  • News
  • Experience
  • Teaching
  • Blog
    • My study "Meaning Lies in Structure: Fine-Grained Table-Centric Document Semantic Parsing" got accepted in ICDAR 2026!
    • Our paper "AI Slop and Hallucinations in Vulnerability Assessment: A Survey on Reasoning Failures and Trustworthy Mitigation" got accepted in SiMLA 2026!
    • Our paper "Shape Before You Build: Secure Cryptographic Code Generation via Prompt Optimization" got accepted in IFIP SEC 2026!
    • I am honored to serve as a Program Committee member for ACISP 2026!
    • Our paper "Securing AI Code Generation - A Prompt Rectification Approach for Mitigating Cyber Risks" was awarded as the distinguished paper at TrustCom 2025!
    • Our paper "Ghosts in DBMS: Revealing the Security Impacts of Silent Fixes" was awarded as the best paper at DSPP 2025!
    • I became a reviewer of IEEE Transactions on Dependable and Secure Computing (TDSC)
    • Our paper "Securing AI Code Generation - A Prompt Rectification Approach for Mitigating Cyber Risks" got accepted in TrustCom 2025!
    • Our paper "Ghosts in DBMS: Revealing the Security Impacts of Silent Fixes" got accepted in DSPP 2025!
    • My study "From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis" got accepted in ECAI 2025!
    • Our paper "What Lies Beneath: An Empirical Study of Silent Vulnerability Fixes in Open-Source Software" got accepted in DSN 2025!
    • Our paper "Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis" got accepted in NDSS 2025!
    • My study "WEDA: Exploring Copyright Protection for Large Language Model Downstream Alignment" got accepted in TASLP!
  • Publications
    • Meaning Lies in Structure: Fine-Grained Table-Centric Document Semantic Parsing
    • AI Slop and Hallucinations in Vulnerability Assessment: A Survey on Reasoning Failures and Trustworthy Mitigation
    • Shape Before You Build: Secure Cryptographic Code Generation via Prompt Optimization
    • Securing AI Code Generation - A Prompt Rectification Approach for Mitigating Cyber Risks
    • Ghosts in DBMS: Revealing the Security Impacts of Silent Fixes
    • From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis
    • What Lies Beneath: An Empirical Study of Silent Vulnerability Fixes in Open-Source Software
    • Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis
    • WEDA: Exploring Copyright Protection for Large Language Model Downstream Alignment
    • Transferable Adversarial Distribution Learning: Query-Efficient Adversarial Attack against Large Language Models
    • A Textual Adversarial Attack Scheme for Domain-Specific Models
    • Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective
    • A Sentence-Level Text Adversarial Attack Algorithm against IIoT based Smart Grid
  • Recent & Upcoming Talks
    • DSN'25
    • ACM MMAsia'24 PhD School
  • Teaching
    • Software Architecture (UTS)
    • Cyber Resilience (UNSW)
  • Experience

Meaning Lies in Structure: Fine-Grained Table-Centric Document Semantic Parsing

May 16, 2026·
Xuan Li
,
Mengfei Xiao
,
Jingtian Wei
,
Jialiang Dong
,
Raymond Wong
· 0 min read
Cite
Type
Paper-Workshop
Publication
20th International Conference on Document Analysis and Recognition (ICDAR 2026)
Last updated on May 16, 2026
AI Slop and Hallucinations in Vulnerability Assessment: A Survey on Reasoning Failures and Trustworthy Mitigation Apr 25, 2026 →

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