Yixuan Tang

Yixuan Tang

Research Fellow

National University of Singapore

Research Interests

Trustworthy AI
Interpretable Embedding
Misinformation Detection
Multimodal Reasoning
AI for Healthcare

About

I am a postdoctoral research fellow at the School of Computing, National University of Singapore (NUS), working with Prof. Anthony K. H. Tung, Prof. Wynne Hsu, and Prof. Mong Li Lee at the Centre for Trusted Internet and Community (CTIC).

My research focuses on trustworthy AI for open-world understanding and reasoning. I study how AI systems can reason reliably with incomplete, noisy, multimodal, or adversarial information, with applications in evidence retrieval, misinformation detection, question answering, and healthcare.

I received my B.Comp. in 2016 and Ph.D. in 2024 from NUS. My Ph.D., co-supervised by Prof. Anthony K. H. Tung and Prof. Hwee Tou Ng, focused on improving the robustness and evaluation of machine reading comprehension models.

Recent News

[Sep 2026]

One paper was accepted to NeurIPS 2026 (spotlight).

[Sep 2026]

Guest Lecturer CS2309 CS Research Methodology.

[Aug 2026]

Won 1st Place in the Long-Form Analogy Evaluation Challenge.

[Aug 2026]

Three papers were accepted to EMNLP 2026.

[Aug 2026]

Invited Speaker at the NUS AI Institute x MSRA Summer School on Agentic AI.

[Jul 2026]

Invited Lightning Talk Speaker at the Stanford x NUS CIVIC-AI Workshop.

[Apr 2026]

Four papers were accepted to ACL 2026.

[Feb 2026]

One paper was accepted to SIGMOD 2026.

Selected Publications

View All →

Structure vs. Chaos: Asymmetric Entropic Optimization for Enforcing Instruction Hierarchy

Tianxiao Huang, Xinwei Liu, Zitong Shi, Yuxin Wu, Xuan Chen, Liangtao Zheng, Yixuan Tang*, Anthony Kum Hoe Tung

The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS)

trustworthy AI

Debating the Unspoken: Role-Anchored Multi-Agent Reasoning for Half-Truth Detection

Yixuan Tang, Yirui Zhang, Hang Feng, Anthony K. H. Tung

The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)

reasoningtrustworthy AImisinformation
PaperCode

Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language Models

Yuansen Liu, Yixuan Tang*, Anthony K. H. Tung

The 64th Annual Meeting of the Association for Computational Linguistics (ACL)

reasoningevaluationtrustworthy AI
PaperCode

SPARROW: Scalable Taxonomy Induction via Structure-Preserving Partitioning and Constraint-Guided Merging

Yirui Zhang, Yixuan Tang*, Yandong Sun, Mong-Li Lee, Anthony K. H. Tung

The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)

representationtrustworthy AI
Code

Asking the Right Questions: Ontology-Grounded Interpretable Embeddings for Biomedical Text

Yixuan Tang, Zhenghong Lin, Yandong Sun, Wynne Hsu, Mong-Li Lee, Anthony K. H. Tung

Findings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)

representationhealthtrustworthy AI
PaperCode

The Missing Parts: Augmenting Fact Verification with Half Truth Detection

Yixuan Tang, Jincheng Wang, Anthony K. H. Tung

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)

reasoningtrustworthy AImisinformation
PaperCode

Uncovering the Bigger Picture: Comprehensive Event Understanding via Diverse News Retrieval

Yixuan Tang, Yuanyuan Shi, Yiqun Sun, Anthony K. H. Tung

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)

retrievaltrustworthy AImisinformation
PaperCode