Hello! I’m Yao Zhang (张瑶). I am currently a lecturer at the School of Statistics and Data Science, Nankai University.
Before that, I received my Ph.D. (2022) and B.S. (2017) from Nankai University, advised by Prof. Zhenglu Yang. From 2021 to 2022, I was a visiting student at the NExT Research Centre at the National University of Singapore (NUS), where I was mentored by Prof. Wenqiang Lei and Prof. Chua Tat-Seng.
My primary research interests lie in the area of Statistics and Data Science, with a focus on the following topics:
Knowledge-Driven Complex Reasoning
My research focuses on deep, multi-step reasoning. Building on foundational work in logical reasoning over structured knowledge, I now investigate how models can perform self-correction and dynamic evolution to address noisy, open-domain challenges.
Trustworthy AI for Improving Doctor-Patient Communication My research in trustworthy AI aims to improve doctor-patient communication via medical NLP. I develop tools to navigate the ambiguities of clinical dialogues and accurately capture patient intent, fostering clearer and more empathetic interactions to strengthen the therapeutic relationship.
Controllability in Multimodal Generation
My research focuses on achieving fine-grained control in multimodal generation. I aim for precise command over the style, logic, and factuality of outputs, building on methods that generate structured content from visual data to create reliable AI partners for creative and educational applications.
我们正在寻找对科研充满热情的你，期待与你并肩前行，共同攻克学术难题！
📬 欢迎将你的简历和想法发送至：yaozhang@nankai.edu.cn
🔥 News
- 2025.04: 🎉🎉🎉 Three papers are accepted by ACL 2025.
📝 Publications
Wenjian Ding, Yao Zhang#, Jun Wang, Adam Jatowt, Zhenglu Yang#
Lang Qin, Yao Zhang#, Hongru Liang, Adam Jatowt, Zhenglu Yang
SCOP: Evaluating the Comprehension Process of Large Language Models from a Cognitive View
Yongjie Xiao, Hongru Liang, Peixin Qin, Yao Zhang, Wenqiang Lei
Enhancing Cross-Lingual Dialogue Summarization through Interpretable Chain-of-Thought
Zhongtian Bao, Yao Zhang, Jun Wang, Adam Jatowt, and Zhenglu Yang
Wenjian Ding, Yao Zhang, Jun Wang, Adam Jatowt, and Zhenglu Yang#
Wenjian Ding, Yao Zhang, Jun Wang, Adam Jatowt, and Zhenglu Yang#
Well begun is half done: Generator-agnostic knowledge pre-selection for knowledge-grounded dialogue
Lang Qin∗,Yao Zhang#, Hongru Liang, Jun Wang, and Zhenglu Yang#
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy
Wenqiang Lei*, Yao Zhang*, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs
Yao Zhang, Peiyao Li, Hongru Liang, Adam Jatowt, Zhenglu Yang
Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension
Huibin Zhang, Zhengkun Zhang, Yao Zhang, Jun Wang, Yufan Li, Ning Jiang, Xin Wei, Zhenglu Yang
GMH: A General Multi-hop Reasoning Model for KG Completion
Yao Zhang, Hongru Liang, Adam Jatowt, Wenqiang Lei, Xin Wei, Ning Jiang, Zhenglu Yang
TRFR: A ternary relation link prediction framework on Knowledge graphs
Yao Zhang, Hengpeng Xu, Xu Zhang, Xingxing Wu, Zhenglu Yang
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang
Spatiotemporal-aware region recommendation with deep metric learning
Hengpeng Xu, Yao Zhang, Jinmao Wei, Zhenglu Yang, Jun Wang