I am Weijia Zhang, an Applied Scientist at Amazon in Seattle. Previously, I completed my Ph.D. at the Information Retrieval Lab, University of Amsterdam, under the supervision of Prof. Evangelos Kanoulas. I received my M.Eng. and B.Eng. degrees from Sun Yat-sen University.

Research Interests

My primary research focuses on Large Language Models (LLMs) and Agentic AI. I specialize in Agentic Deep Research, Table Understanding, and Retrieval-Augmented Generation (RAG). I am actively seeking collaboration with researchers in these areas, feel free to reach out if you are interested in working together!.

[Email] [Google Scholar] [LinkedIn]

News

• Aug, 2025: One paper accepted at EMNLP 2025 Findings.
• Sep, 2024: One paper accepted at EMNLP 2024.
• Aug, 2024: One paper accepted at ICPR 2024.
• Jul, 2024: One paper accepted at ECAI 2024.
• Jul, 2024: One paper accepted at INLG 2024 (Oral).

Arxiv Preprints

1. Beyond Natural Language Plans: Structure-Aware Planning for Query-Focused Table Summarization
   Weijia Zhang, Songgaojun Deng, Evangelos Kanoulas
   [pdf]

Publications

1. Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification Yifei Yuan, Jiatong Li, Weijia Zhang, Mohammad Aliannejadi, Evangelos Kanoulas, Renjun Hu EMNLP 2025 Findings: The 2025 Conference on Empirical Methods in Natural Language Processing [pdf]

2. FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture
   Wenyan Li, Xinyu Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, et al.
   EMNLP 2024: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
   [pdf]

3. QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs
   Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke
   ECAI 2024: Proceedings of the 27th European Conference on Artificial Intelligence
   [pdf]

4. Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models
   Weijia Zhang, Jia-Hong Huang, Svitlana Vakulenko, Yumo Xu, Thilina Rajapakse, Evangelos Kanoulas
   ICPR 2024: Proceedings of the 27th International Conference on Pattern Recognition
   [pdf]

5. Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics
   Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-hong Huang, Evangelos Kanoulas
   INLG 2024 (Oral): Proceedings of the 17th International Natural Language Generation Conference
   [pdf]

6. A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation
   Weijia Zhang, Mohammad Aliannejadi, Jiahuan Pei, Yifei Yuan, Jia-Hong Huang, Evangelos Kanoulas
   LLM4Eval@SIGIR 2024: The First Workshop on Large Language Model for Evaluation in Information Retrieval
   [pdf]

7. Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study
   Weijia Zhang, Svitlana Vakulenko, Thilina Rajapakse, Yumo Xu, Evangelos Kanoulas
   Gen-IR@SIGIR 2023: The First Workshop on Generative Information Retrieval
   [pdf]

8. A Deep Neural Information Fusion Architecture for Textual Network Embeddings
   Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang
   EMNLP-IJCNLP 2019: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing
   [pdf]

Contact

• Email: weijia.zhangplus AT gmail.com