Understanding and Detecting Diverse Supporting Arguments on Controversial Issues. - Xinyu Hua; Lu Wang 008 (ACL (2), 2017)

A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization. - Xinyu Hua; Lu Wang 008 (NFiS@EMNLP, 2017)

Understanding and Detecting Supporting Arguments of Diverse Types. - Xinyu Hua; Lu Wang 008 (CoRR, 2017)

Neural Argument Generation Augmented with Externally Retrieved Evidence. - Xinyu Hua; Lu Wang 008 (ACL (1), 2018)

Argument Generation with Retrieval, Planning, and Realization. - Xinyu Hua; Zhe Hu; Lu Wang 008 (ACL (1), 2019)

Sentence-Level Content Planning and Style Specification for Neural Text Generation. - Xinyu Hua; Lu Wang 008 (EMNLP/IJCNLP (1), 2019)

Argument Mining for Understanding Peer Reviews. - Xinyu Hua; Mitko Nikolov; Nikhil Badugu; Lu Wang 008 (NAACL-HLT (1), 2019)

XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. - Xinyu Hua; Lei Li 005; Lifeng Hua; Lu Wang 008 (AKBC, 2020)

Mut-Detecter: An EGFR activating mutation type classification method with a deep convolutional neural network. - Yaojun Wang; Xinyu Hua; Yu Wang; Chunming Zhang; Dongbo Bu; Shiwei Sun; Xingce Wang (BIBM, 2020)

PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. - Xinyu Hua; Lu Wang 008 (EMNLP (1), 2020)

DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. - Xinyu Hua; Ashwin Sreevatsa; Lu Wang 008 (ACL/IJCNLP (1), 2021)

The Solution of Xiaomi AI Lab to the 2021 Language and Intelligence Challenge: Multi-format Information Extraction Task. - Wen Dai; Xinyu Hua; Rongrong Lv; Ruipeng Bo; Shuai Chen (NLPCC (2), 2021)

Efficient Argument Structure Extraction with Transfer Learning and Active Learning. - Xinyu Hua; Lu Wang 008 (ACL (Findings), 2022)

Sequentially Controlled Text Generation. - Alexander Spangher; Yao Ming; Xinyu Hua; Nanyun Peng 001 (EMNLP (Findings), 2022)

Modeling and Detecting Company Risks from News. - Jiaxin Pei; Soumya Vadlamannati; Liang-Kang Huang; Daniel Preotiuc-Pietro; Xinyu Hua (NAACL (Industry Track), 2024)

Modeling and Detecting Company Risks from News: A Case Study in Bloomberg News. - Jiaxin Pei; Soumya Vadlamannati; Liang-Kang Huang; Daniel Preotiuc-Pietro; Xinyu Hua (CoRR, 2025)