* denotes equal contribution

1. Preprint

   From Bias to Balance: Exploring and Mitigating Spatial Bias in LVLMs

   Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Weili Guan, Jun Yu, Min Zhang

   arXiv:2509.21984 (Preprint)

   PDF Code Under Review


2. EMNLP Findings

   THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction

   Xin Zhang, Qiyu Wei, Yingjie Zhu, Fanyi Wu, Sophia Ananiadou

   Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2025 Findings)

   PDF


3. NLPCC

   TianWen: A Comprehensive Benchmark for Evaluating LLMs in Chinese Classical Poetry Understanding and Reasoning

   Zhenwu Pei, Rongbo Chen, Xuefeng Bai, Kehai Chen, Yingjie Zhu, Andong Chen, and Min Zhang

   The 14th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2025)

   Code Oral Presentation


4. ACL

   Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning

   Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Jun Yu, Min Zhang

   Proceedings of the 63nd Annual Meeting of the Association for Computational Linguistics. (ACL 2025)

   PDF Code


5. ACL Findings

   SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling

   Xin Zhang, Qiyu Wei, Yingjie Zhu, Linhai Zhang, Deyu Zhou, Sophia Ananiadou

   Proceedings of the 63nd Annual Meeting of the Association for Computational Linguistics. (ACL Findings)

   PDF


6. KDD

   ALSA: Context-Sensitive Prompt Privacy Preservation in Large Language Models

   Hongru Ma, Wenpeng Lu, Yanjie Liang, Tianyi Wang, Qi Zhang, Yingjie Zhu, Jiasheng Si

   31st SIGKDD Conference on Knowledge Discovery and Data Mining - Research Track (KDD 2025)

   PDF


7. Front. Comput. Sci.

   Topic-Enhanced Argument Mining via Mutual Learning

   Jiasheng Si*, Yingjie Zhu*, Rui Wang, Wenpeng Lu, Yulan He, Deyu Zhou

   Frontiers of Computer Science

   PDF


8. EMNLP Findings

   Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer

   Jiasheng Si*, Yingjie Zhu*, Wenpeng Lu, Deyu Zhou

   Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2024 Findings)

   PDF


9. ACL🏆

   CHECKWHY: Causal Fact Verification via Argument Structure

   Jiasheng Si*, Yibo Zhao*, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou

   Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics. (ACL 2024)

   PDF Code Outstanding Paper Award, SAC Award, Oral Presentation


10. EMNLP

    EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification

    Yingjie Zhu*, Jiasheng Si*, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He

    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2023)

    PDF Code Oral Presentation


11. AAAI

    Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning

    Jiasheng Si, Yingjie Zhu, Deyu Zhou

    Proceedings of the AAAI Conference on Artificial Intelligence. (AAAI 2023)

    PDF Oral Presentation