Hi! I am a CS PhD student at KAUST beginning from 2021. My supervisor is Prof. Xiangliang Zhang and Prof. Xin Gao. Prior to KAUST, I got my B.S degree in Computer Science at Wuhan University supervised by Prof. Qian Wang and my M.S degree in Peking University, supervised by Prof. Rui Yan and Prof. Dongyan Zhao.

I have a wide-ranging interest in research topics related to natural language processing and text generation. My specific focus is on enhancing the performance of text generation, particularly in terms of accuracy, robustness, explainability, and trustworthiness. This includes applications in summarization, response generation, and question answering, among others. Additionally, I am keen on applying NLP for social good, such as using large language models (LLMs) to expedite scientific discovery and improve healthcare applications, and using LLM as agents for computational social science. I have published more than 30 papers at the top international AI conferences. If you are seeking any form of academic cooperation, please feel free to email me at xiuying.chen@kaust.edu.sa.

🔥 News

• 2024.2: 🎉 Invited to be Action Editor for ACL and ARR Feb
• 2024.1: 🎉 Invited to be a Reviewer for ICML 2024
• 2024.1: 🎉 One paper is accepted by WWW 2024
• 2023.10: 🎉 One paper is accepted by WSDM 2024
• 2023.9: 🎉 Two paper are accepted by EMNLP 2023
• 2023.05: Four papers are accepted by ACL 2023
• 2023.04: Invited to serve as a Reviewer for NeurIPS 2023

📝 Publications

📚 Accuracy

• NeurIPS 2022 Towards Improving Faithfulness in Abstractive Summarization, Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang. Code

• TOIS 2022 Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order, Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan. Code

• IJCAI 2019 Learning towards Abstractive Timeline Summarization, Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan. Code

• EMNLP 2018 Iterative Document Representation Learning Towards Summarization with Polishing, Xiuying Chen, Shen Gao, Chongyang Tao, Yan Song, Dongyan Zhao, Rui Yan. Code

🧑‍🎨 Trustworthiness

• ACL 2023 Improving the Robustness of Summarization Systems with Dual Augmentation, Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang. Code

• SIGIR 2023 A Topic-aware Summarization Framework with Different Modal Side Information, Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang.

• EMNLP 2019 How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing, Shen Gao, Xiuying Chen, Zhangming Chan, Dongyan Zhao, Rui Yan

• AAAI 2020 The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement, Mingzhe Li, Xiuying Chen, Min Yang, Shen Gao, Dongyan Zhao, Rui Yan

🎙 Social dynamic

• WSDM 2023 EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator, Mingzhe Li, Xiuying Chen, Weiheng Liao, Yang Song, Tao Zhang, Dongyan Zhao, Rui Yan.

• AAAI 2023 Learning towards Selective Data Augmentation for Dialogue Generation, Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao1, Xiangliang Zhang, Rui Yan.

• EMNLP 2021 Combining curriculum learning and knowledge distillation for dialogue generation, Qingqing Zhu, Xiuying Chen, Pengfei Wu, JunFei Liu, Dongyan Zhao

• AAAI 2021 Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension, Xiuying Chen, Zhi Cui, Jiayi Zhang, Chen Wei, Jianwei Cui, Bin Wang, Dongyan Zhao, and Rui Yan. Data

• EMNLP 2020 Selection and generation: Learning towards multi-product advertisement post generation, Zhangming Chan, Yuchi Zhang, Xiuying Chen, Shen Gao, Zhiqiang Zhang, Dongyan Zhao, Rui Yan.

• EMNLP 2019 Modeling personalization in continuous space for response generation via augmented wasserstein autoencoders, Zhangming Chan, Juntao Li, Xiaopeng Yang, Xiuying Chen, Wenpeng Hu, Dongyan Zhao, Rui Yan

• EMNLP 2019 Stick to the facts: Learning towards a fidelity-oriented e-commerce product description generation, Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao, Rui Yan.

🎙 High-stake applications

• Under review Automated Bioinformatics Analysis via AutoBA, Juexiao Zhou, Bin Zhang, Xiuying Chen, Haoyang Li, Xiaopeng Xu, Siyuan Chen, Xin Gao.

• Under review Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost, Juexiao Zhou, Xiuying Chen, Xin Gao.

• Under review Skingpt-4: An interactive dermatology diagnostic system with visual large language model, Juexiao Zhou, Xiaonan He, Liyuan Sun, Jiannan Xu, Xiuying Chen, Yuetan Chu, Longxi Zhou, Xingyu Liao, Bin Zhang, Xin Gao.

• EMNLP 2022 Scientific Paper Extractive Summarization Enhanced by Citation Graphs, Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang.

• SIGIR 2022 Target-aware Abstractive Related Work Generation with Contrastive Learning, Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang. Code

• ACL 2021 Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation, Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, Rui Yan. Code

📒 Survey

• Briefings in Bioinformatics 2023 Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health, Shubo Tian, Qiao Jin, Lana Yeganova, Po-Ting Lai, Qingqing Zhu, Xiuying Chen.

• arxiv Interactive Natural Language Processing, Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu

• IJCAI 2020 From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information, Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan

🎖 Awards

• 2022 SIGIR Student Travel Grant
• 2022 Dean’s List Award, KAUST
• 2021 Outstanding Graduate, Beijing
• 2020 Scientific Research Award, Peking University
• 2019-2020 National Scholarship, Peking University
• 2019-2020 Merit Student, Peking University
• 2017-2018 National Scholarship, Wuhan University

💬 Invited Talks and Tutorials

• 2023.09, AI Generated Text: Unlocking Accuracy, Trust, and Progress, Wuhan University
• 2023.03, Improving Abstractive Summarization Systems by Addressing Informativeness, Faithfulness, and Robustness, Renmin University of China
• 2023.03, Improving Abstractive Summarization Systems by Addressing Informativeness, Faithfulness, and Robustness, Shandong University
• IJCAI 2021, From Standard Summarization to New Tasks and Beyond: Tasks and Methods of Summarization with Manifold Information

💻 Internships

• 2023.02 - Now, NIH, Bethesda, Maryland. Mentor: Zhiyong Lu
• 2022.05 - 2022.10, Microsoft, Beijing. Mentor: Chongyang Tao
• 2020.01 - 2020.12, Xiaomi, Beijing. Mentor: Jianwei Cui
• 2019.03 - 2019.10, IIAI, Abu Dhabi, United Arab Emirates. Mentor: Li Liu

⭐ Services

• 2024, Program Committee, EMNLP, ICLR, ICML, Action Editor, ACL
• 2023, Program Committee, AAAI, ACL, EMNLP, IJCAI, SIGIR, NeurIPS.
• 2022, Program Committee, AAAI, ACL, EMNLP, IJCAI, SIGIR.
• 2021, Program Committee, AAAI, ACL, EMNLP, SIGIR, Senior Program Committee, IJCAI.

🎨 Miscellaneous

I have broad interests in music, history, and movies. In my spare time, I play instruments like the electronic keyboard, flute, and ocarina. Recently, I’ve taken up playing table tennis again, a sport I often played as a child, inspired by Sun Yingsha. I’ve been a huge fan of Jiang Wei since I was a little kid, largely because of the Romance of the Three Kingdoms TV series. I’m also a content creator on Bilibili. The video I made about Awakening Age has received over 1 million views.