Fake news stance detection using stacked ensemble of classifiers. - James Thorne; Mingjie Chen; Giorgos Myrianthous; Jiashu Pu; Xiaoxuan Wang; Andreas Vlachos 001 (NLPmJ@EMNLP, 2017)

Taming Repetition in Dialogue Generation. - Yadong Xi; Jiashu Pu; Xiaoxi Mao (CoRR, 2021)

Probing Simile Knowledge from Pre-trained Language Models. - Weijie Chen; Yongzhu Chang; Rongsheng Zhang; Jiashu Pu; Guandan Chen; Le Zhang; Yadong Xi; Yijiang Chen; Chang Su 006 (ACL (1), 2022)

Unraveling the Mystery of Artifacts in Machine Generated Text. - Jiashu Pu; Ziyi Huang; Yadong Xi; Guandan Chen; Weijie Chen; Rongsheng Zhang (LREC, 2022)

A GNN-Enhanced Game Bot Detection Model for MMORPGs. - Xianyang Qi; Jiashu Pu; Shiwei Zhao; Runze Wu 001; Jianrong Tao (PAKDD (2), 2022)

Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking. - Jiashu Pu; Jianshi Lin; Xiaoxi Mao; Jianrong Tao; Xudong Shen; Yue Shang; Runze Wu 001 (WWW, 2022)

Dialog Intent Induction via Density-based Deep Clustering Ensemble. - Jiashu Pu; Guandan Chen; Yongzhu Chang; Xiaoxi Mao (CoRR, 2022)

Sudowoodo: A Chinese Lyric Imitation System with Source Lyrics. - Yongzhu Chang; Rongsheng Zhang; Lin Jiang; Qihang Chen; Le Zhang; Jiashu Pu (EMNLP (Demos), 2023)

Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts. - Jiashu Pu; Ling Cheng 002; Lu Fan; Tangjie Lv; Rongsheng Zhang (EMNLP, 2023)

I-WAS: A Data Augmentation Method with GPT-2 for Simile Detection. - Yongzhu Chang; Rongsheng Zhang; Jiashu Pu (ICDAR (3), 2023)

Neighborhood-based Hard Negative Mining for Sequential Recommendation. - Lu Fan; Jiashu Pu; Rongsheng Zhang; Xiao-Ming Wu 003 (SIGIR, 2023)

Examining the Effect of Pre-training on Time Series Classification. - Jiashu Pu; Shiwei Zhao; Ling Cheng 002; Yongzhu Chang; Runze Wu 001; Tangjie Lv; Rongsheng Zhang (CoRR, 2023)

Deep learning applications in games: a survey from a data perspective. - Zhipeng Hu; Yu Ding 001; Runze Wu 001; Lincheng Li; Rongsheng Zhang; Yujing Hu; Feng Qiu; Zhimeng Zhang; Kai Wang 064; Shiwei Zhao; Yongqiang Zhang 003; Ji Jiang; et al. (Appl. Intell., 2023)

LANID: LLM-assisted New Intent Discovery. - Lu Fan; Jiashu Pu; Rongsheng Zhang; Xiao-Ming Wu 003 (LREC/COLING, 2024)

HoLLMwood: Unleashing the Creativity of Large Language Models in Screenwriting via Role Playing. - Jing Chen; Xinyu Zhu; Cheng Yang 007; Chufan Shi; Yadong Xi; Yuxiang Zhang; Junjie Wang 011; Jiashu Pu; Tian Feng 001; Yujiu Yang; Rongsheng Zhang (EMNLP (Findings), 2024)

Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation. - Jiashu Pu; Yajing Wan; Yuru Zhang; Jing Chen; Ling Cheng 002; Qian Shao; Yongzhu Chang; Tangjie Lv; Rongsheng Zhang (CoRR, 2024)

Early Detection of Malicious Crypto Addresses With Asset Path Tracing and Selection. - Ling Cheng 002; Feida Zhu 001; Qian Shao; Jiashu Pu; Fengzhu Zeng (IEEE Trans. Knowl. Data Eng., 2025)

New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics. - Ling Cheng 002; Jiashu Pu; Ruicheng Liang; Qian Shao; Hezhe Qiao; Feida Zhu 001 (CoRR, 2025)