One Step Ahead: A Framework for Detecting Unexpected Incidents and Predicting the Stock Markets. - Ziyue Li; Shiwei Lyu; Haipeng Zhang 004; Tianpei Jiang (IEEE Access, 2021)

Graph Neural Network Based VC Investment Success Prediction. - Shiwei Lyu; Shuai Ling; Kaihao Guo; Haipeng Zhang 004; Kunpeng Zhang; Suting Hong; Qing Ke; Jinjie Gu (CoRR, 2021)

See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction. - Shiwei Lyu; Hongbo Cai; Chaohe Zhang; Shuai Ling; Yue Shen; Xiaodong Zeng; Jinjie Gu; Guannan Zhang; Haipeng Zhang 004 (CIKM, 2022)

Multiple Instance Learning for Uplift Modeling. - Yao Zhao; Haipeng Zhang 004; Shiwei Lyu; Ruiying Jiang; Jinjie Gu; Guannan Zhang (CIKM, 2022)

Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. - Xiaoyan Yang; Dong Wang 062; Binbin Hu; Dan Yang 004; Yue Shen; Jinjie Gu; Zhiqiang Zhang 012; Shiwei Lyu; Haipeng Zhang 004; Guannan Zhang (WWW (Companion Volume), 2023)

RJUA-QA: A Comprehensive QA Dataset for Urology. - Shiwei Lyu; Chenfei Chi; Hongbo Cai; Lei Shi; Xiaoyan Yang; Lei Liu; Xiang Chen 016; Deng Zhao; Zhiqiang Zhang 012; Xianguo Lyu; Ming Zhang; Fangzhou Li; et al. (CoRR, 2023)

Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. - Lei Liu; Xiaoyan Yang; Fangzhou Li; Chenfei Chi; Yue Shen; Shiwei Lyu; Ming Zhang; Xiaowei Ma; Xiangguo Lv; Liya Ma; Zhiqiang Zhang 012; Wei Xue; et al. (KDD, 2024)

Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. - Lei Liu; Xiaoyan Yang; Fangzhou Li; Chenfei Chi; Yue Shen; Shiwei Lyu; Ming Zhang; Xiaowei Ma; Xianguo Lyu; Liya Ma; Zhiqiang Zhang 012; Wei Xue; et al. (CoRR, 2024)

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents. - Yuqi Zhu; Shuofei Qiao; Yixin Ou; Shumin Deng; Shiwei Lyu; Yue Shen; Lei Liang 002; Jinjie Gu; Huajun Chen; Ningyu Zhang 001 (NAACL (Findings), 2025)