Siu Cheung Hui
Associate Professor
Works on data mining, information retrieval, natural language processing and intelligent tutoring systems.
Siu Cheung Hui's lab at NTU works on knowledge, QA & retrieval, data management & big data and recommendation, search & web. 17 papers since 2023, 4 at top venues, mostly Neurocomputing and Neural Networks.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 24%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 2
- 5 papers2024 · T1 0
- 6 papers2023 · T1 2
T1 venuesOtherVenues: Neurocomputing, Neural Networks, AAAI, CIKM, COLING
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval2 papers
- Data management & big data2 papers
- Recommendation, search & web0 papers
- tutoring systems0 papers
- intelligent tutoring0 papers
Paper list
From DBLP.
20261 paper
20255 papers
- Eng. Appl. Artif. Intell.A review on data-driven prognostics and health management for wind turbine systems (opens in a new tab)
- DASFAAA Structure-Aware Generative Model for Biomedical Event Extraction (opens in a new tab)
- NeurocomputingDynamic task balancing for joint information extraction (opens in a new tab)
- TKDE (T1)Final: Combining First-Order Logic With Natural Logic for Question Answering (opens in a new tab)
- COLING (T1)LLM Sensitivity Evaluation Framework for Clinical Diagnosis (opens in a new tab)
20245 papers
- Expert Systems with ApplicationsA crowdsourcing-based incremental learning framework for automated essays scoring (opens in a new tab)
- IEEE Trans. Instrum. Meas.A Multimodal Data-Driven Framework for Anxiety Screening (opens in a new tab)
- Neural NetworksA syntactic evidence network model for fact verification (opens in a new tab)
- BMC Bioinform.Effective type label-based synergistic representation learning for biomedical event trigger detection (opens in a new tab)
- NeurocomputingSSRI-Net: Subthreads Stance-Rumor Interaction Network for rumor verification (opens in a new tab)
20236 papers
- NeurocomputingA contrastive learning framework for Event Detection via semantic type prototype representation modelling (opens in a new tab)
- AAAI (T1)Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking (opens in a new tab)
- Information SciencesDML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning (opens in a new tab)
- CIKM (T1)GranCATs: Cross-Lingual Enhancement through Granularity-Specific Contrastive Adapters (opens in a new tab)
- Findings of EMNLPInteMATs: Integrating Granularity-Specific Multilingual Adapters for Cross-Lingual Transfer (opens in a new tab)
- Knowl. Based Syst.Multi-view entity type overdependency reduction for event argument extraction (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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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.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.