Adversarial Learning

• Fair Graph Learning with Limited Sensitive Attribute Information

  AAAI (conference, core: A*) 2026
• Defensive Dual Masking for Robust Adversarial Defense

  Computational Linguistics (journal, core: A*) 2025
• sMOOD: subManifold Based Out-of-Distribution Detection

  PAKDD (conference, core: B) 2025
• SCAD: Subspace Clustering based Adversarial Detector

  WSDM (conference, core: A) 2024
• [MASK] Insertion: a robust method for anti-adversarial attacks

  EACL (conference, core: A) 2023

Information Retrieval and Recommendation

• MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation

  AAAI (conference, core: A*) 2026
• Impact-Aware Retrieval Defense: Mitigating Word Substitution Ranking Attacks for Enhanced Stability

  IEEE Big Data (conference, core: B) 2025
• Negative-Free Graph Contrastive Learning for Recommendation

  ICDM (conference, core: A*) 2025
• Importance-Awareness Masking Network for Robust Document Retrieval

  ICASSP (conference, core: -) 2025
• COTER: Conditional Optimal Transport meets Table Retrieval

  WSDM (conference, core: A) 2024
• Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations

  IEEE Big Data (conference, core: B) 2023
• MIRS: [MASK] Insertion Based Retrieval Stabilizer for Query Variations

  DEXA (conference, core: B) 2023

Question Answering

• Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering

  AJCAI (conference, core: B, Australia) 2024
• ConClue: Conditional Clue Extraction for Multiple Choice Question Answering

  ICDAR (conference, core: A) 2024
• Extractive Question Answering with Contrastive Puzzles and Reweighted Clues

  ICDAR (conference, core: A) 2024
• Towards Robust Token Embeddings for Extractive Question Answering

  WISE (conference, core: A) 2023
• MDA: Masked Language Modeling Meets Data Augmentation for Multiple Choice Question Answering

  SWC (conference, core: B) 2023
• Killing Many Birds with One Stone: Single-Source to Multiple-Target Domain Adaptation for Extractive Question Answering

  SWC (conference, core: B) 2023
• Context-guided triple matching for multiple choice question answering

  SWC (conference, core: B) 2023
• Improving Machine Reading Comprehension through A Simple Masked-Training Scheme

  IJCNLP-AACL (conference, core: B) 2023
• Seeing the wood for the trees: a contrastive regularization method for the low-resource knowledge base question answering

  NAACL (conference, core: A) 2022

LLM

• Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications

  Journal of Big Data (journal) 2025
• Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation

  UAI (conference, core: A) 2024

Knowledge Graph

• CREAM: Named Entity Recognition with Concise query and Region-Aware Minimization

  WISE (conference, core: A) 2023
• Knowledge Graph Question Answering Based on Contrastive Learning and Feature Transformation

  ICQS (conference, core: B) 2022
• Joint Extraction of Biomedical Entities and Relations based on Decomposition and Recombination Strategy

  BIBM (conference, core: B) 2022

Multimodal Learning

• Re-Purposing Segment Anything For Skeleton Action Localization

  ICIP (conference, core: B) 2025
• Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition

  IEEE Transactions on Biometrics, Behavior, and Identity Science (journal) 2025
• Asynchronous Joint-based Temporal Pooling for Skeleton-based Action Recognition

  IEEE Transactions on Circuits and Systems for Video Technology (journal) 2024
• An attention-based CNN for automatic whole-body postural assessment

  Expert Systems with Applications (journal) 2024
• Joint temporal pooling for improving skeleton-based action recognition

  DICGMI (conference, core: B, Australia) 2023

NLP Applications

• Every Lie Has a Grain of Truth: Disentangling Deception from Authentic Content for Fake News Detection

  IEEE Big Data (conference, core: B) 2025
• Low-rank and sparse representation based learning for cancer survivability prediction

  Information Sciences (journal) 2022
• Multi-view learning for context-aware extractive summarization

  SSCI (conference, core: B) 2020
• Usage profiling from mobile applications: A case study of online activity for Australian primary schools

  Knowledge-Based Systems (journal) 2020
• Characteristics of Chinese online movie reviews and opinion leadership identification

  IJHCI (journal) 2020

Fuzzy Learning

• Sparse fuzzy classification for profiling online users and relevant user-generated content

  Expert Systems with Applications (journal) 2022
• Fuzzy contrastive learning for online behavior analysis

  FUZZ-IEEE (conference, core: B) 2021