李朝卓
Associate Researcher
Research interests
Trusted LLM
Contact
Selected papers (last 5 years)
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
International Conference on Machine Learning, 2026
Finefake: A knowledge-enriched dataset for fine-grained multi-domain fake news detection
Information Fusion, 2026
Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification
Expert Systems with Applications, 2026
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers
Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
MRR-FV: Unlocking Complex Fact Verification with Multi-hop Retrieval and Reasoning
AAAI Conference on Artificial Intelligence, 2025
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
IEEE Transactions on Knowledge and Data Engineering, 2025
Beyond entity alignment: Towards complete knowledge graph alignment via entity-relation synergy
Expert Systems with Applications, 2025
Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks
DSC, 2025
LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation
IEEE TIFS, 2025
Advancing session-based recommendations with Atten-Mixer+: dynamic and adaptive multi-level intent mining
ACM Transactions on Intelligent Systems and Technology, 2025
One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs
NeurIPS, 2025
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training
AAAI, 2025
Knowledge-aware multimodal pre-training for fake news detection
Information Fusion, 2025
Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation
Proceedings of the 32nd ACM International Conference on Multimedia, 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
Advances in Neural Information Processing Systems (Spotlight), 2024
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training
Proceedings of the 32nd ACM International Conference on Multimedia, 2024
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs
Proceedings of the ACM Web Conference 2024, 2024
Evidence retrieval is almost all you need for fact verification
Findings of the Association for Computational Linguistics, 2024
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting
EMNLP 2024, 2024
Early detection of multimodal fake news via reinforced propagation path generation
IEEE Transactions on Knowledge and Data Engineering, 2024
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
Proceedings of the 47th International ACM SIGIR conference on research and development in information retrieval, 2024
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking
AAAI Conference on Artificial Intelligence, 2024
Multi-grained topological pre-training of language models in sponsored search
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Clean-label poisoning attack against fake news detection models
IEEE International Conference on Big Data, 2023
An adaptive graph pre-training framework for localized collaborative filtering
ACM Transactions on Information Systems, 2022