A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition. - Changxing Wu; Liuwen Cao; Yubin Ge; Yang Liu 005; Min Zhang 005; Jinsong Su (AAAI, 2022)

Enhancing Large Language Models for Secure Code Generation: A Dataset-driven Study on Vulnerability Mitigation. - Jiexin Wang; Liuwen Cao; Xitong Luo; Zhiping Zhou; Jiayuan Xie; Adam Jatowt; Yi Cai 001 (CoRR, 2023)

Beyond Code: Evaluate Thought Steps for Complex Code Generation. - Liuwen Cao; Yi Cai 001; Jiexin Wang; Hongkui He; Hailin Huang (LREC/COLING, 2024)

Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval. - Jiexin Wang; Xitong Luo; Liuwen Cao; Hongkui He; Hailin Huang; Jiayuan Xie; Adam Jatowt; Yi Cai 001 (CoRR, 2024)

Modeling different effects of user and product attributes on review sentiment classification. - Changxing Wu; Liuwen Cao; Jiayu Chen; Yuanyun Wang; Jinsong Su (Appl. Intell., 2024)

RuleEdit: Towards Rule-Level Knowledge Generalization to Mitigate Over-Editing in Large Language Models. - Bihan Zhou; Haopeng Ren; Li Yuan; Yi Cai 001; Liuwen Cao; Zikun Deng (ACL (Findings), 2025)

Rethinking-based Code Summarization with Chain of Comments. - Liuwen Cao; Hongkui He; Hailin Huang; Jiexin Wang; Yi Cai 001 (COLING, 2025)

CLCoSum: Curriculum Learning-Based Code Summarization for Code Language Models. - Hongkui He; Jiexin Wang; Liuwen Cao; Yi Cai 001 (ICPC, 2025)

Code Ranking with Structure Awareness Contrastive Learning. - Hailin Huang; Liuwen Cao; Jiexin Wang; Tianchen Yu; Yi Cai (ICPC, 2025)